Hiroshima City University

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Hiroshima City University
Short name
HCU
Country, city
Japan, Hiroshima
Publications
1 325
Citations
13 853
h-index
52
Top-3 organizations
Osaka University
Osaka University (96 publications)
University of Tokyo
University of Tokyo (91 publications)
Hiroshima University
Hiroshima University (63 publications)
Top-3 foreign organizations
Hanyang University
Hanyang University (9 publications)
University of Southampton
University of Southampton (9 publications)
Yonsei University
Yonsei University (9 publications)

Most cited in 5 years

Hossain M.D., Inoue H., Ochiai H., Fall D., Kadobayashi Y.
IEEE Access scimago Q1 wos Q2 Open Access
2020-10-07 citations by CoLab: 132 Abstract  
The modern automobile is a complex piece of technology that uses the Controller Area Network (CAN) bus system as a central system for managing the communication between the electronic control units (ECUs). Despite its central importance, the CAN bus system does not support authentication and authorization mechanisms, i.e., CAN messages are broadcast without basic security features. As a result, it is easy for attackers to launch attacks at the CAN bus network system. Attackers can compromise the CAN bus system in several ways including Denial of Service (DoS), Fuzzing and Spoofing attacks. It is imperative to devise methodologies to protect modern cars against the aforementioned attacks. In this paper, we propose a Long Short-Term Memory (LSTM)-based Intrusion Detection System (IDS) to detect and mitigate the CAN bus network attacks. We generate our own dataset by first extracting attack-free data from our experimental car and by injecting attacks into the latter and collecting the dataset. We use the dataset for testing and training our model. With our selected hyper-parameter values, our results demonstrate that our classifier is efficient in detecting the CAN bus network attacks, we achieved an overall detection accuracy of 99.995%. We also compare the proposed LSTM method with the Survival Analysis for automobile IDS dataset which is developed by the Hacking and Countermeasure Research Lab, Korea. Our proposed LSTM model achieves a higher detection rate than the Survival Analysis method.
Goto M., Abe O., Hagiwara A., Fujita S., Kamagata K., Hori M., Aoki S., Osada T., Konishi S., Masutani Y., Sakamoto H., Sakano Y., Kyogoku S., Daida H.
2022-02-17 citations by CoLab: 75 Abstract  
Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical morphology, such as volume, thickness, area, and gyrification, whereas voxel-based morphometry (VBM) is a typical method of gray matter (GM) volumetry that includes cortex measurement. In cases where SBM is used to estimate cortical morphology, it remains controversial as to whether VBM should be used in addition to estimate GM volume. Therefore, this review has two main goals. First, we summarize the differences between the two methods regarding preprocessing, statistical analysis, and reliability. Second, we review studies that estimate cortical morphological changes using VBM and/or SBM and discuss whether using VBM in conjunction with SBM produces additional values. We found cases in which detection of morphological change in either VBM or SBM was superior, and others that showed equivalent performance between the two methods. Therefore, we concluded that using VBM and SBM together can help researchers and clinicians obtain a better understanding of normal neurobiological processes of the brain. Moreover, the use of both methods may improve the accuracy of the detection of morphological changes when comparing the data of patients and controls.
Xu C., Ishikawa N., Rajashekar R., Sugiura S., Maunder R.G., Wang Z., Yang L., Hanzo L.
IEEE Access scimago Q1 wos Q2 Open Access
2019-12-04 citations by CoLab: 64 Abstract  
Sixty years of coherent versus non-coherent tradeoff as well as the twenty years of coherent versus non-coherent tradeoff in Multiple-Input Multiple-Output (MIMO) systems are surveyed. Furthermore, the advantages of adaptivity are discussed. More explicitly, in order to support the diverse communication requirements of different applications in a unified platform, the 5G New Radio (NR) offers unprecendented adaptivity, abeit at the cost of a substantial amount of signalling overhead that consumes both power and the valuable spectral resources. Striking a beneficial coherent versus non-coherent tradeoff is capable of reducing the pilot overheads of channel estimation, whilst relying on low-complexity detectors, especially in high-mobility scenarios. Furthermore, since energy-efficiency is of salient importance both in the operational and future networks, following the powerful Index Modulation (IM) pholosophy, we conceive a holistic adaptive pholosophy striking the most appropriate coherent/non-coherent, single-/multiple-antenna and diversity/multiplexing tradeoffs, where the number of RF chains, the Peak-to-Average Power Ratio (PAPR) of signal transmission and the maximum amount of interference tolerated by signal detection are all taken into account. We demonstrate that this intelligent tripple-fold adaptivity offers significant benefits in next-generation applications of mmWave and Terahertz solutions, in space-air-ground integrated networks, in full-duplex techniques and in other sophisticated channel coding assisted system designs, where powerful machine learning algorithms are expected to make autonomous decisions concerning the best mode of operation with minimal human intervention.
Belz J.W., Krehbiel P.R., Remington J., Stanley M.A., Abbasi R.U., LeVon R., Rison W., Rodeheffer D., Abu‐Zayyad T., Allen M., Barcikowski E., Bergman D.R., Blake S.A., Byrne M., Cady R., et. al.
2020-10-05 citations by CoLab: 47 Abstract  
In this paper we report the first close, high-resolution observations of downward-directed terrestrial gamma-ray flashes (TGFs) detected by the large-area Telescope Array cosmic ray observatory, obtained in conjunction with broadband VHF interferometer and fast electric field change measurements of the parent discharge. The results show that the TGFs occur during strong initial breakdown pulses (IBPs) in the first few milliseconds of negative cloud-to-ground and low-altitude intracloud flashes, and that the IBPs are produced by a newly-identified streamer-based discharge process called fast negative breakdown. The observations indicate the relativistic runaway electron avalanches (RREAs) responsible for producing the TGFs are initiated by embedded spark-like transient conducting events (TCEs) within the fast streamer system, and potentially also by individual fast streamers themselves. The TCEs are inferred to be the cause of impulsive sub-pulses that are characteristic features of classic IBP sferics. Additional development of the avalanches would be facilitated by the enhanced electric field ahead of the advancing front of the fast negative breakdown. In addition to showing the nature of IBPs and their enigmatic sub-pulses, the observations also provide a possible explanation for the unsolved question of how the streamer to leader transition occurs during the initial negative breakdown, namely as a result of strong currents flowing in the final stage of successive IBPs, extending backward through both the IBP itself and the negative streamer breakdown preceding the IBP.
Shan Y., Li S., Chen T.
2020-02-24 citations by CoLab: 28 Abstract  
Psychological stress may cause various health problems. To prevent the potential chronic illness that long-term psychological stress could cause, it is important to detect and monitor the psychological stress at its initial stage. In this paper, we present a framework for remotely detecting and classifying human stress by using a KINECT sensor that is portable and affordable enough for ordinary users in everyday life. Unlike most of emotion recognition tasks in which respiratory signals (RSPS) are usually used only as an aiding analysis, the whole task proposed is based on RSPS. Thus, the main contribution of this paper is that not only the non-contact devices is used to identify human stress, but also the relationship between RSPS and stress recognition is analyzed in detail. Experimental results on 84 volunteers show that the recognition accuracy for recognizing psychological stress, physical stress, and relaxing state are 93.90%, 93.40%, and 89.05% respectively. These results suggest that the proposed framework is effective for monitoring human stress, and RSPS could be used for stress recognition.
Kimura K., Yamamoto K., Hayashi K., Tsutsui S., Happo N., Yamazoe S., Miyazaki H., Nakagami S., Stellhorn J.R., Hosokawa S., Matsushita T., Tajiri H., Ang A.K., Nishino Y.
Physical Review B scimago Q1 wos Q2
2020-01-07 citations by CoLab: 28 Abstract  
X-ray absorption fine structure (XAFS), x-ray fluorescence holography (XFH), and inelastic x-ray scattering (IXS) techniques were applied to an ${\mathrm{Fe}}_{2}({\mathrm{V}}_{0.95}{\mathrm{Ta}}_{0.05}$)Al Heusler-type thermoelectric material to investigate the doping effect of Ta on the local structure and the atomic dynamics. The XAFS and XFH results show that the positional correlation between Ta and surrounding Fe atoms is much more rigid than that between V and Fe. In the IXS results, we observed a broad dispersionless mode in the energy range of the acoustic phonons of undoped ${\mathrm{Fe}}_{2}\mathrm{VAl}$, which is regarded as the so-called resonant mode. These results revealed a clearly different feature of the dynamics of heavy dopants from that of the matrix element, which disturbs the coherency of phonons and should contribute to the enhancement of the thermal insulation.
Nomura T., Kimura T., Kanematsu Y., Yamada D., Yamashita K., Hirata K., Ueno G., Murakami H., Hisano T., Yamagiwa R., Takeda H., Gopalasingam C., Kousaka R., Yanagisawa S., Shoji O., et. al.
2021-05-17 citations by CoLab: 27 Abstract  
Significance The short-lived intermediate formed during the reduction of nitric oxide (NO) to nitrous oxide (N 2 O) in denitrification, microbial anaerobic respiration, is a key state for understanding the generation mechanism of N 2 O, known not only as a greenhouse gas but also as an ozone-depleting substance on the global level. This paper combined state-of-the-art, time-resolved techniques, such as flow-flash infrared spectroscopy and X-ray free electron laser-based crystallography, and captured the intermediate of a P450-type NO reductase at the atomic and electronic levels. The intermediate was identified as a singly protonated Fe 3+ –NHO •− radical, offering insights into a radical–radical coupling mechanism for the N–N bond formation in N 2 O generation.
Ohira S., Desta A.K., Arai I., Inoue H., Fujikawa K.
IEEE Access scimago Q1 wos Q2 Open Access
2020-02-25 citations by CoLab: 23 Abstract  
Controller Area Network (CAN) is a de facto standard of in-vehicle networks. Since CAN employs broadcast communication and a slower network than other general networks (e.g. Ethernet, IEEE802.11), it is inherently vulnerable to Denial-of-Service (DoS) attacks. As a countermeasure against DoS attacks on CAN, a method for detecting a DoS attack using the entropy in a sliding window has been proposed. This method has a good advantage in terms of effectiveness and the small computational overhead. However, this method may only be effective against DoS attacks under naive conditions such as some higher priority messages. In addition, if an adversary can adjust the entropy of the DoS attack to its normal value, the conventional method cannot detect a DoS attack in which the adversary manipulates the entropy. We found this type of DoS attack, which is called an entropy-manipulated attack. In this paper, we propose a method that can detect an entropy-manipulated attack by using the similarity of two sliding windows. We confirmed that the proposed method detected the DoS attack in 100% of the cases in our experiment, and we showed that the detection time is up to 93% (14 μs) shorter than the conventional method.
Saito T., Takano Y.
Journal of Physical Chemistry B scimago Q1 wos Q3
2022-03-03 citations by CoLab: 21 Abstract  
Urease catalyzes the hydrolysis of urea to form ammonia and carbamate, inducing an overall pH increase that affects both human health and agriculture. Inhibition, mutagenesis, and kinetic studies have provided insights into its enzymatic role, but there have been debates on the substrate binding mode as well as the reaction mechanism. In the present study, we report quatum mechanics-only (QM-only) and quantum mechanics/molecular mechanics molecular dynamics (QM/MM MD) calculations on urease that mainly investigate the binding mode of urea and the mechanism of the urease-catalyzed hydrolysis reaction. Comparison between the experimental data and our QM(GFN2-xTB)/MM metadynamics results demonstrates that urea hydrolysis via a complex with bidentate-bound urea is much more favorable than via that with monodentate-bound urea for both nucleophilic attack and the subsequent proton transfer steps. We also indicate that the bidentate coordination of urea fits the active site with a closed conformation of the mobile flap and can facilitate the stabilization of transition states and intermediates by forming multiple hydrogen bonds with certain active site residues.
Fujiwara T., Sasahara A., Happo N., Kimura K., Hayashi K., Onishi H.
Chemistry of Materials scimago Q1 wos Q1
2020-01-21 citations by CoLab: 19 Abstract  
Alkali tantalates, NaTaO3 and KTaO3, are known as highly efficient semiconductor photocatalysts for the overall water-splitting reaction when properly doped with foreign metal cations. Characterizi...
Miyawaki A., Farisi M.S., Hasegawa Y., Matsushima M., Kawabe T., Shikida M.
IEEE Sensors Journal scimago Q1 wos Q2
2025-03-15 citations by CoLab: 0
Higashi Y., Takai H., Ikeda T.
Sensors scimago Q1 wos Q2 Open Access
2025-03-10 citations by CoLab: 0 PDF Abstract  
While autonomous wheelchairs reduce the burden on passengers, automation can make it difficult for them to anticipate the future path of the wheelchair, potentially causing anxiety or discomfort due to unexpected movements. In this study, we define “path” as the geometric trajectory of the wheelchair position, without considering temporal aspects. Providing passengers with information about this future path is crucial, particularly when multiple pedestrians or obstacles are present. Previous studies have primarily focused on presenting only the direction in which the wheelchair turns. In this study, we propose a path presentation method that conveys both the direction and width of turns by varying the duration of haptic apparent motion according to the turning width. The results from the evaluation experiment showed that presenting the future path, including the extent of avoidance maneuvers, improved user understanding and offered a slightly greater sense of security compared to methods that presented only directional information or no feedback at all.
Farisi M.S., Toyota S., Hasegawa Y., Shikida M.
IEEE Sensors Journal scimago Q1 wos Q2
2025-03-01 citations by CoLab: 0
Hosokawa S., Happo N., Hayashi K., Matsushita T.
2025-02-22 citations by CoLab: 0
Wang C., Miyazaki D.
IEEE Access scimago Q1 wos Q2 Open Access
2025-02-13 citations by CoLab: 0
Anzorena M., de la Fuente E., Fujita K., Garcia R., Goto K., Hayashi Y., Hibino K., Hotta N., Imaizumi G., Jimenez-Meza A., Katayose Y., Kato C., Kato S., Kawashima T., Kawata K., et. al.
Experimental Astronomy scimago Q2 wos Q2
2025-02-03 citations by CoLab: 0 Abstract  
Abstract A new method using the muon lateral distribution and an underground muon detector to achieve high discrimination power against hadrons is presented. The method is designed to be applied in the Andes Large-area PArticle detector for Cosmic-ray physics and Astronomy (ALPACA) experiment in Bolivia. This new observatory in the Southern hemisphere has the goal of detecting >100 TeV $$\gamma $$ γ rays in search for the origins of Galactic cosmic rays. The method uses the weighted sum of the lateral distribution of the muons detected by underground detectors to separate between air showers initiated by cosmic rays and $$\gamma $$ γ rays. We evaluate the performance of the method through Monte Carlo simulations with CORSIKA and Geant4 and apply the analysis to the prototype of ALPACA, ALPAQUITA. With the application of this method in ALPAQUITA, we achieve an improvement of about 18 % in the energy range from 60 to 100 TeV over the estimated sensitivity using only the total number of muons.
Tajiri H., Kohara S., Kimura K., Halubai S., Morimoto H., Happo N., Stellhorn J.R., Onodera Y., Qiao X., Urushihara D., Hu P., Wakihara T., Kinoshita T., Hayashi K.
2025-01-01 citations by CoLab: 1 PDF Abstract  
To tackle disorder in crystals and short- and intermediate-range order in amorphous materials, such as glass, we developed a carry-in diffractometer to utilise X-ray fluorescence holography (XFH) and anomalous X-ray scattering (AXS), facilitating element-specific analyses with atomic resolution using the wavelength tunability of a synchrotron X-ray source. Our diffractometer unifies XFH and AXS configurations to determine the crystal orientation via diffractometry. In particular, XFH was realised even for a crystal with blurred emission lines by a standing wave in a hologram, and high-throughput AXS with sufficient count statistics and energy resolution was achieved using three multi-array detectors with crystal analysers. These features increase tractable targets by XFH and AXS, which have novel functionalities.
Phueaksri I., Kastner M.A., Kawanishi Y., Komamizu T., Ide I.
2025-01-01 citations by CoLab: 0 Abstract  
VIsual STorytelling (VIST) is a task that transforms a sequence of images into narrative text stories. A narrative story requires an understanding of the contexts and relationships among images. Our study introduces a story generation process that emphasizes creating a coherent narrative by constructing both image and narrative contexts to control the coherence. First, the image contexts are generated from the content of individual images, using image features and scene graphs that detail the elements of the images. Second, the narrative context is generated by focusing on the overall image sequence. Ensuring that each caption fits within the overall story maintaining continuity and coherence. We also introduce a narrative concept summary, which is external knowledge represented as a knowledge graph. This summary encapsulates the narrative concept of an image sequence to enhance the understanding of its overall content. Following this, both image and narrative contexts are used to generate a coherent and engaging narrative. This framework is based on Long Short-Term Memory (LSTM) with an attention mechanism. We evaluate the proposed method using the VIST dataset, and the results highlight the importance of understanding the context of an image sequence in generating coherent and engaging stories. The study demonstrates the significance of incorporating narrative context into the generation process to ensure the coherence of the generated narrative.
Matsuhira C., Kastner M.A., Komamizu T., Hirayama T., Ide I.
2025-01-01 citations by CoLab: 0 Abstract  
Quantifying the associations between images and adjectives, i.e., how much the visual characteristics of an image are connected with a certain adjective, is important for better image understanding. For instance, the appearance of a kitten can be associated with adjectives such as “soft”, “small”, and “cute” rather than the opposite “hard”, “large”, and “scary”. Thus, giving scores for a kitten photo considering the degree of its association with each antonym adjective pair (termed adjective axis, e.g., “round” vs. “sharp”) aids in understanding the image content and its atmosphere. Existing methods rely on subjective human engagement, making it difficult to estimate the association of images with arbitrary adjective axes in a single framework. To enable the extension to arbitrary axes, we explore the use of large-scale pretrained models, including Large Language Models (LLMs) and Vision Language Models (VLMs). In the proposed training-free framework, users only need to specify a pair of antonym nouns that negatively and positively describe the target axis (e.g., “roundness” and “sharpness”). Evaluation confirms that the proposed framework can predict negative and positive associations between adjectives and images as correctly as the manually-assisted comparative. The result also highlights the pros and cons of utilizing the VLM’s textual or visual embedding for specific types of adjective axes. Furthermore, computing the similarities among four adjective axes unveils how the proposed framework connects them with each other, such as its tendency to regard a sharp object as being small, hard, and quick in motion.
Anzai D., Ito T., Tanaka H., Hämäläinen M., Hernandez M., Paso T., Mucchi L.
In this review, we envisioned how the new ETSI SmartBAN wireless technology for smart body area networks can be utilised in implant and in-body communications. The use cases can be links, for example, between in-body medical devices (IMDs) such as wireless capsule endoscopes and their on-body counterpart, or between smart implants, in general. First, we briefly introduced the current trends of implant and in-body communications and showed some application examples of IMDs utilised in in-body wireless communications. The advantage of in-body ultra wideband communications was then discussed to highlight the ETSI SmartBAN approach for in-body communications standardisation.
Hiramatsu T., Ito T., Anzai D., Tanaka H.
In recent years, demand for healthcare IoT including daily healthcare monitoring has been increasing. Body area network (BAN) is expected to be a core technology to realize such healthcare IoT. In particular, SmartBAN, a BAN technology standardized by the European Telecommunications Standards Institute (ETSI) and the International Electrotechnical Commission (IEC), is attracting attention. SmartBAN uses the 2.4 GHz ISM band, which may receive interference from various electronic devices such as wireless LAN and Bluetooth. In this paper, the influence of radio wave interference during the initial connection process of SmartBAN is experimentally evaluated by generating radio interference using devices that simulate an adaptive frequency hopping for Bluetooth. We measured the initial connection time when changing the hopping frequency and transmission timing of the interference wave sources and evaluated the effects of interference on the initial connection procedure of SmartBAN. The evaluation results revealed that although the connection time when there is interference may become slightly longer, it does not significantly affect the establishment of the initial connection.
Al Farisi M.S., Okazaki J., Hasegawa Y., Matsushima M., Kawabe T., Shikida M.
Biomedical Microdevices scimago Q2 wos Q3
2024-12-13 citations by CoLab: 0 Abstract  
Intravenous drug administration delivers medication directly into the bloodstream, providing rapid and controlled effects, making it highly beneficial for emergencies or when immediate drug action is required. However, several risks are associated with intravenous drug administration, including infiltration and extravasation, which can lead to serious complications due to the rapid absorption of medication to the surrounding tissues. To prevent complications, here we proposed a non-contact sensor module to rapidly detect such events. The system does not interfere with the human skin, nor contaminating the flowing medication since only biocompatible materials are exposed to the liquid. The proposed sensor module was assembled as a flow channel with flow rate and pressure sensing functions. The flow rate sensing was realized using a micromachined thermal flow sensor fabricated on a thin polyimide film, while the pressure sensing was realized using a diaphragm structure and a MEMS pressure sensor. Basic characteristics of each function was evaluated and a proof of concept experiment demonstrated a rapid detection of infiltration/extravasation within a few s. Measurement of leaked fluid volume during the event was also demonstrated.
Kieu N., Abbasi R.U., Saba M.M., Belz J.W., Krehbiel P.R., Stanley M.A., Gordillo‐Vazquez F.J., Passas‐Varo M., Warner T., Rison W., Rodeheffer D., da Silva D.R., Mazzucco D., Knight T., Cruz I.T., et. al.
2024-12-10 citations by CoLab: 0 Abstract  
AbstractOptical emissions associated with Terrestrial Gamma ray Flashes (TGFs) have recently become important subjects in space‐based and ground‐based observations as they can help us understand how TGFs are produced during thunderstorms. In this paper, we present the first time‐resolved leader spectra of the optical component associated with a downward TGF. The TGF was observed by the Telescope Array Surface Detector (TASD) simultaneously with other lightning detectors, including a Lightning Mapping Array (LMA), an INTerFerometer (INTF), a Fast Antenna (FA), and a spectroscopic system. The spectroscopic system recorded leader spectra at 29,900 frames per second (33.44 s time resolution), covering a spectral range from 400 to 900 nm, with 2.1 nm per pixel. The recordings of the leader spectra began 11.7 ms before the kA return stroke and at a height of 2.37 km above the ground. These spectra reveal that optical emissions of singly ionized nitrogen and oxygen occur between 167 s before and 267 s after the TGF detection, while optical emissions of neutrals (H I, 656 nm; N I, 744 nm, and O I, 777 nm) occur right at the moment of the detection. The time‐dependent spectra reveal differences in the optical emissions of lightning leaders with and without downward TGFs.

Since 1994

Total publications
1325
Total citations
13853
Citations per publication
10.46
Average publications per year
42.74
Average authors per publication
5.18
h-index
52
Metrics description

Top-30

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Electrical and Electronic Engineering, 221, 16.68%
General Physics and Astronomy, 116, 8.75%
Software, 111, 8.38%
Physical and Theoretical Chemistry, 91, 6.87%
General Medicine, 91, 6.87%
Condensed Matter Physics, 91, 6.87%
Electronic, Optical and Magnetic Materials, 78, 5.89%
Artificial Intelligence, 75, 5.66%
Hardware and Architecture, 63, 4.75%
Computer Networks and Communications, 63, 4.75%
Applied Mathematics, 62, 4.68%
General Engineering, 61, 4.6%
Computer Science Applications, 57, 4.3%
Computer Vision and Pattern Recognition, 57, 4.3%
Signal Processing, 50, 3.77%
Atomic and Molecular Physics, and Optics, 48, 3.62%
Spectroscopy, 47, 3.55%
Biochemistry, 44, 3.32%
Analytical Chemistry, 41, 3.09%
Computer Graphics and Computer-Aided Design, 40, 3.02%
General Chemistry, 35, 2.64%
General Computer Science, 35, 2.64%
General Materials Science, 33, 2.49%
Materials Chemistry, 30, 2.26%
Physics and Astronomy (miscellaneous), 30, 2.26%
Mechanical Engineering, 27, 2.04%
Mechanics of Materials, 27, 2.04%
General Environmental Science, 26, 1.96%
Biotechnology, 23, 1.74%
Control and Systems Engineering, 22, 1.66%
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With other countries

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USA, 74, 5.58%
China, 28, 2.11%
United Kingdom, 23, 1.74%
Germany, 10, 0.75%
Russia, 9, 0.68%
India, 9, 0.68%
Republic of Korea, 9, 0.68%
France, 8, 0.6%
Belgium, 8, 0.6%
Canada, 6, 0.45%
Australia, 5, 0.38%
Czech Republic, 5, 0.38%
Malaysia, 4, 0.3%
Singapore, 4, 0.3%
Azerbaijan, 3, 0.23%
Slovenia, 3, 0.23%
Philippines, 3, 0.23%
Bolivia, 2, 0.15%
Israel, 2, 0.15%
Italy, 2, 0.15%
Poland, 2, 0.15%
Sweden, 2, 0.15%
Ukraine, 1, 0.08%
Brazil, 1, 0.08%
Vietnam, 1, 0.08%
Indonesia, 1, 0.08%
Luxembourg, 1, 0.08%
Mexico, 1, 0.08%
Netherlands, 1, 0.08%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1994 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.