National Chung Cheng University

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National Chung Cheng University
Short name
CCU
Country, city
China, Minxiong
Publications
13 175
Citations
274 985
h-index
169
Top-3 organizations
Top-3 foreign organizations
Miami University
Miami University (65 publications)
Ohio State University
Ohio State University (55 publications)
Charles University
Charles University (39 publications)

Most cited in 5 years

Nguyen V., Lin P., Cheng B., Hwang R., Lin Y.
2021-08-30 citations by CoLab: 256 Abstract  
Sixth-generation (6G) mobile networks will have to cope with diverse threats on a space-air-ground integrated network environment, novel technologies, and an accessible user information explosion. However, for now, security and privacy issues for 6G remain largely in concept. This survey provides a systematic overview of security and privacy issues based on prospective technologies for 6G in the physical, connection, and service layers, as well as through lessons learned from the failures of existing security architectures and state-of-the-art defenses. Two key lessons learned are as follows. First, other than inheriting vulnerabilities from the previous generations, 6G has new threat vectors from new radio technologies, such as the exposed location of radio stripes in ultra-massive MIMO systems at Terahertz bands and attacks against pervasive intelligence. Second, physical layer protection, deep network slicing, quantum-safe communications, artificial intelligence (AI) security, platform-agnostic security, real-time adaptive security, and novel data protection mechanisms such as distributed ledgers and differential privacy are the top promising techniques to mitigate the attack magnitude and personal data breaches substantially.
Sun H., Zhu G., Zhu Y., Lin M., Chen H., Li Y., Hung W.H., Zhou B., Wang X., Bai Y., Gu M., Huang C., Tai H., Xu X., Angell M., et. al.
Advanced Materials scimago Q1 wos Q1
2020-05-25 citations by CoLab: 243 Abstract  
Rechargeable lithium metal batteries are next generation energy storage devices with high energy density, but face challenges in achieving high energy density, high safety, and long cycle life. Here, lithium metal batteries in a novel nonflammable ionic-liquid (IL) electrolyte composed of 1-ethyl-3-methylimidazolium (EMIm) cations and high-concentration bis(fluorosulfonyl)imide (FSI) anions, with sodium bis(trifluoromethanesulfonyl)imide (NaTFSI) as a key additive are reported. The Na ion participates in the formation of hybrid passivation interphases and contributes to dendrite-free Li deposition and reversible cathode electrochemistry. The electrolyte of low viscosity allows practically useful cathode mass loading up to ≈16 mg cm-2 . Li anodes paired with lithium cobalt oxide (LiCoO2 ) and lithium nickel cobalt manganese oxide (LiNi0.8 Co0.1 Mn0.1 O2 , NCM 811) cathodes exhibit 99.6-99.9% Coulombic efficiencies, high discharge voltages up to 4.4 V, high specific capacity and energy density up to ≈199 mAh g-1 and ≈765 Wh kg-1 respectively, with impressive cycling performances over up to 1200 cycles. Highly stable passivation interphases formed on both electrodes in the novel IL electrolyte are the key to highly reversible lithium metal batteries, especially for Li-NMC 811 full batteries.
Wu I., Chiu M., Chen K.
2020-06-01 citations by CoLab: 217 Abstract  
• Online consumers are both system users and impulse buyers for using e-stores. • A model is proposed with three issues, perceived risk, ECM, and flow state. • Perceived risk has a negative effect on perceived usefulness (PU) and satisfaction. • In ECM, e-store confirmation is important for link to PU and is not to satisfaction. • Flow state is an important concern for raising impulse buying behavior. Since much online shopping is attributed to online impulse buying, it is important to define this particular shopping process. This process has three important issues, perceived risk for virtual stores as well as e-store design and psychological state for online shopping. This is because consumers are both system users and impulse buyers when shopping on e-stores. E-store design is based on the interaction of customers with e-stores and the expectation-confirmation model supports examination of this issue with a wide familiarity in IT use. Psychological state is emotional responses to the stimulus of products in e-stores and flow theory, with task skill and task challenge as precursors, is suitable for exploring this issue. Grounding on the three issues, this study proposes a new research model with these considerations to thoroughly examine the determinants of online impulse buying. Flow state and customer satisfaction also interact with each other. Empirical research shows an important link for the three defined issues of online impulse buying.
Liu X., Wu T., Chen J., Meng X., He X., Noda T., Chen H., Yang X., Segawa H., Wang Y., Han L.
2020-08-12 citations by CoLab: 198 Abstract  
We report a templated growth of FASnI3 crystals by reconstruction of the intermediate phase, and an efficiency of 11.22% was certified.
Hwang R., Peng M., Huang C., Lin P., Nguyen V.
IEEE Access scimago Q1 wos Q2 Open Access
2020-02-10 citations by CoLab: 177 Abstract  
Various attacks have emerged as the major threats to the success of a connected world like the Internet of Things (IoT), in which billions of devices interact with each other to facilitate human life. By exploiting the vulnerabilities of cheap and insecure devices such as IP cameras, an attacker can create hundreds of thousands of zombie devices and then launch massive volume attacks to take down any target. For example, in 2016, a record large-scale DDoS attack launched by millions of Mirai-injected IP cameras and smart printers blocked the accessibility of several high-profile websites. To date, the state-of-the-art defense systems against such attacks rely mostly on pre-defined features extracted from the entire flows or signatures. The feature definitions are manual, and it would be too late to block a malicious flow after extracting the flow features. In this work, we present an effective anomaly traffic detection mechanism, namely D-PACK, which consists of a Convolutional Neural Network (CNN) and an unsupervised deep learning model (e.g., Autoencoder) for auto-profiling the traffic patterns and filtering abnormal traffic. Notably, D-PACK inspects only the first few bytes of the first few packets in each flow for early detection. Our experimental results show that, by examining just the first two packets in each flow, D-PACK still performs with nearly 100% accuracy, while features an extremely low false-positive rate, e.g., 0.83%. The design can inspire the emerging efforts towards online anomaly detection systems that feature reducing the volume of processed packets and blocking malicious flows in time.
Zhu G., Tian X., Tai H., Li Y., Li J., Sun H., Liang P., Angell M., Huang C., Ku C., Hung W., Jiang S., Meng Y., Chen H., Lin M., et. al.
Nature scimago Q1 wos Q1
2021-08-25 citations by CoLab: 149 Abstract  
Lithium-ion batteries (LIBs) are widely used in applications ranging from electric vehicles to wearable devices. Before the invention of secondary LIBs, the primary lithium-thionyl chloride (Li-SOCl2) battery was developed in the 1970s using SOCl2 as the catholyte, lithium metal as the anode and amorphous carbon as the cathode1–7. This battery discharges by lithium oxidation and catholyte reduction to sulfur, sulfur dioxide and lithium chloride, is well known for its high energy density and is widely used in real-world applications; however, it has not been made rechargeable since its invention8–13. Here we show that with a highly microporous carbon positive electrode, a starting electrolyte composed of aluminium chloride in SOCl2 with fluoride-based additives, and either sodium or lithium as the negative electrode, we can produce a rechargeable Na/Cl2 or Li/Cl2 battery operating via redox between mainly Cl2/Cl− in the micropores of carbon and Na/Na+ or Li/Li+ redox on the sodium or lithium metal. The reversible Cl2/NaCl or Cl2/LiCl redox in the microporous carbon affords rechargeability at the positive electrode side and the thin alkali-fluoride-doped alkali-chloride solid electrolyte interface stabilizes the negative electrode, both are critical to secondary alkali-metal/Cl2 batteries. Rechargeable Na/Cl2 and Li/Cl2 batteries are produced with a microporous carbon positive electrode, aluminium chloride in thionyl chloride as the electrolyte, and either sodium or lithium as the negative electrode.
Zhang X., Li J., Li Y., Jung Y., Kuang Y., Zhu G., Liang Y., Dai H.
2021-02-22 citations by CoLab: 147 Abstract  
Reducing CO2 to value-added multicarbon (C2+) fuels and chemicals using renewable energy is a viable way to circumvent CO2 buildup in the atmosphere and facilitate closing the carbon cycle. To date it remains a challenge to achieve high product selectivity and long-term stability of electrocatalytic carbon dioxide reduction reaction (CO2RR) especially at practically relevant high current levels >100 mA cm-2. Here, we report a simple electrodeposited Cu electrocatalyst on a hydrophobic porous gas-diffusion layer (GDL) electrode affording stable and selective CO2RR to C2+ products in near-neutral KCl electrolytes. By directing the CO2 stream to fully submerged hydrophobic GDLs in a H-cell, high C2+ partial current densities near 100 mA cm-2 were achieved. In a flow-cell setup, the Cu/GDL cathode in 2 M KCl afforded stable CO2RR superior to that in widely used KOH electrolytes. We found that Cu etching/corrosion associated with trace oxygen played a role in the catalyst instability in alkaline media under cathodic CO2RR conditions, a problem largely suppressed in near-neutral electrolyte. A two-electrode CO2 electrolyzer was constructed with a Cu/GDL cathode in KCl catholyte and an anode comprised of nickel-iron hydroxide on nickel foam (NiFe/NF) in a KOH anolyte separated by Nafion membrane. By periodically adding HCl to the KCl catholyte to compensate the increasing pH and remove accumulated (bi)carbonates, we observed little decay over ∼30 h in flow-cell CO2RR activity and selectivity at 150 mA cm-2 with a high Faradaic efficiency (FE) of ∼75% and energy efficiency of 40% for C2+ products.
Bundschuh J., Schneider J., Alam M.A., Niazi N.K., Herath I., Parvez F., Tomaszewska B., Guilherme L.R., Maity J.P., López D.L., Cirelli A.F., Pérez-Carrera A., Morales-Simfors N., Alarcón-Herrera M.T., Baisch P., et. al.
2021-08-01 citations by CoLab: 130 Abstract  
This review presents a holistic overview of the occurrence, mobilization, and pathways of arsenic (As) from predominantly geogenic sources into different near-surface environmental compartments, together with the respective reported or potential impacts on human health in Latin America. The main sources and pathways of As pollution in this region include: (i) volcanism and geothermalism: (a) volcanic rocks, fluids (e.g., gases) and ash, including large-scale transport of the latter through different mechanisms, (b) geothermal fluids and their exploitation; (ii) natural lixiviation and accelerated mobilization from (mostly sulfidic) metal ore deposits by mining and related activities; (iii) coal deposits and their exploitation; (iv) hydrocarbon reservoirs and co-produced water during exploitation; (v) solute and sediment transport through rivers to the sea; (vi) atmospheric As (dust and aerosol); and (vii) As exposure through geophagy and involuntary ingestion. The two most important and well-recognized sources and mechanisms for As release into the Latin American population's environments are: (i) volcanism and geothermalism, and (ii) strongly accelerated As release from geogenic sources by mining and related activities. Several new analyses from As-endemic areas of Latin America emphasize that As-related mortality and morbidity continue to rise even after decadal efforts towards lowering As exposure. Several public health regulatory institutions have classified As and its compounds as carcinogenic chemicals, as As uptake can affect several organ systems, viz. dermal, gastrointestinal, peptic, neurological, respiratory, reproductive, following exposure. Accordingly, ingesting large amounts of As can damage the stomach, kidneys, liver, heart, and nervous system; and, in severe cases, may cause death. Moreover, breathing air with high As levels can cause lung damage, shortness of breath, chest pain, and cough. Further, As compounds, being corrosive, can also cause skin lesions or damage eyes, and long-term exposure to As can lead to cancer development in several organs. • Arsenic (As) mobilization from geogenic and anthropic sources to near-surface environments • Different pathways of As human exposure and their health impacts with Latin American examples • Natural dissemination of As in surrounding environments through leaching of As bearing rocks • Acceleration of natural dissemination of As through mining of metallic and energy resources • (Hydro)(bio)geochemical processes during As exposure through drinking water and food chain • Health issues associated with As uptake following intake through indigestion and inhalation
Lien S., Deng D., Lin C., Tsai H., Chen T., Guo C., Cheng S.
IEEE Access scimago Q1 wos Q2 Open Access
2020-02-13 citations by CoLab: 124 Abstract  
Featuring direct communications between two user equipments (UEs) without signal relay through a base station, 3GPP sidelink transmissions have manifested their crucial roles in the Long-Term Evolution (LTE) Advanced (LTE-A) for public safety and vehicle-to-everything (V2X) services. With this successful development in LTE-A, the evolution of sidelink transmissions continues in 3GPP New Radio (NR), which renders sidelink an inevitable component as well as downlink and uplink. Targeting at offering low latency, high reliability and high throughout V2X services for advanced driving use cases, a number of new sidelink functions not provided in the LTE-A are supported in NR, including the feedback channel, grant-free access, enhanced channel sensing procedure, and new control channel design. To fully comprehend these new functions, this paper therefore provides essential knowledge of 3GPP NR sidelink transmissions, including the physical layer structure, resource allocation mechanisms, resource sensing and selection procedures, synchronization, and quality-of-service (QoS) management. Furthermore, this paper also provides performance evaluation to assess the gains brought from the new control channel design. As NR sidelink transmissions have been regarded as a foundation to provide advanced services other than V2X in future releases (e.g., advanced relay), potential enhancements are also discussed to serve the urgent demand in corresponding normative works.
Venkatesan M., Veeramuthu L., Liang F., Chen W., Cho C., Chen C., Chen J., Yan Y., Chang S., Kuo C.
Chemical Engineering Journal scimago Q1 wos Q1
2020-10-01 citations by CoLab: 115 Abstract  
Heavy metal and other toxicant detection in natural resources like water, air, soil and food is vital for environmental safety, personal hygiene, and public health care. Abundant number of sensor has acquired its wide and pivotal role in establishing the peaceful and healthy environments. The reliable features such as detection range, response/recovery time, stability and portability is in its urgency for achieving its lifetime applicability. For ultrasensitive chemosensory applications, colorimetric and fluorescent nanofibers engender a linear range, the lowest detection limit, and faster response toward harmful toxic pollutants such as heavy metals and other toxicants including gases, pH, temperature, humidity, and cancer cells. In this review, we surveyed various modes of sensing, sensor fabrication and the evolution of naked eye visible color optical sensors developed with electrospun nanofibrous membranes along with their strength and weaknesses. The review outlines the obstacles, trends and breakthroughs achieved in optical sensory nanofibers and it will definitely inspire the research community in recognizing and overcoming the interdisciplinary challenges to achieve the cleaner greener environment.
Kenneth M.J., Wu C., Fang C., Hsu T., Lin I., Huang S., Chiu Y., Hsu B.
Antibiotics scimago Q1 wos Q1 Open Access
2025-03-05 citations by CoLab: 0 PDF Abstract  
With nearly half of colorectal cancer (CRC) patients diagnosed at advanced stages where surgery alone is insufficient, chemotherapy remains a cornerstone for this cancer treatment. To prevent infections and improve outcomes, antibiotics are often co-administered. However, chemotherapeutic interactions with the gut microbiota cause significant non-selective toxicity, affecting not only tumor and normal epithelial cells but also the gut microbiota. This toxicity triggers the bacterial SOS response and loss of microbial diversity, leading to bacterial mutations and dysbiosis. Consequently, pathogenic overgrowth and systemic infections increase, necessitating broad-spectrum antibiotics intervention. This review underscores how prolonged antibiotic use during chemotherapy, combined with chemotherapy-induced bacterial mutations, creates selective pressures that drive de novo antimicrobial resistance (AMR), allowing resistant bacteria to dominate the gut. This compromises the treatment efficacy and elevates the mortality risk. Restoring gut microbial diversity may mitigate chemotherapy-induced toxicity and improve therapeutic outcomes, and emerging strategies, such as fecal microbiota transplantation (FMT), probiotics, and prebiotics, show considerable promise. Given the global threat posed by antibiotic resistance to cancer treatment, prioritizing antimicrobial stewardship is essential for optimizing antibiotic use and preventing resistance in CRC patients undergoing chemotherapy. Future research should aim to minimize chemotherapy’s impact on the gut microbiota and develop targeted interventions to restore microbial diversity affected during chemotherapy.
Chiu C., Sung H., Li Y., Jhan Z.
2025-03-03 citations by CoLab: 0 Abstract  
For typical low-rise reinforced concrete (RC) buildings, which are very common in Taiwan, this work focuses on RC squat infill walls with and without openings. A site investigation revealed localized corrosion near the top of RC infill walls, caused by double curvature and poor concrete quality. This work investigates the mechanical behavior of four RC infill wall specimens with two corrosion zones. Unlike previous approaches, the designed corrosion ratio of the steel bars within the specimens has been increased from 10 % to 15 %. Additionally, this research examines the mechanical behavior of RC infill walls with localized corrosion and a central square opening by designing two specimens with such an opening. An SST model is introduced to determine the ultimate shear strength of an RC infill wall with localized corrosion and a central square opening. Furthermore, the model incorporates considerations for both the mechanical properties of corroded reinforcing steel bars and the concrete softening resulting from corrosion-induced cracks. Finally, this work concludes with strength reduction factors that can be used to estimate the ultimate shear strength of a corrosion-localized RC wall, with or without a central square opening, for preliminary seismic assessments.
Peng P., Chiou H., Huang H., Ing C.
2025-03-03 citations by CoLab: 0
Masaracchia A., Nguyen V., da Costa D.B., Ak E., Canberk B., Sharma V., Duong T.Q.
IEEE Communications Magazine scimago Q1 wos Q1
2025-03-01 citations by CoLab: 0
Cheng S., Chen S., Huang W.
2025-03-01 citations by CoLab: 0
Liang B., Hwang R., Lin J., Chen H.
IEEE Internet of Things Journal scimago Q1 wos Q1
2025-02-20 citations by CoLab: 0
Yang Y., Chang K., Luo J.
Symmetry scimago Q2 wos Q2 Open Access
2025-02-20 citations by CoLab: 1 PDF Abstract  
The rapid expansion of the Internet of Things (IoT) has uncovered a significant asymmetry in cybersecurity, where low-power edge devices must face sophisticated threats from adversaries backed by ample resources. In our study, we employ a symmetry-based approach to rebalance these uneven scenarios. We propose a Hybrid Neural Network Intrusion Detection System (Hybrid NNIDS) that uses LightGBM to filter anomalies at the traffic level and MobileNetV2 for further detection at the packet level, creating a viable compromise between detection accuracy and computational cost. Additionally, the proposed Hybrid NNIDS model, on the ACI-IoT-2023 dataset, outperformed other intrusion detection models with an accuracy of 94%, an F1-score of 91%, and a precision rate of 93% in attack detection. The results indicate the developed asymmetry algorithm can greatly reduce processing overhead while still being able to be implemented in IoT environments. The focus of future work will be on the real-world deployment of these security infrastructures in the IoT and their adaptation to newer types of attack vectors that may be developed by malware.
Selvaraj P., LIN F., HUANG C., Tuan P., Cheng K.
Optics Express scimago Q1 wos Q2 Open Access
2025-02-20 citations by CoLab: 0 PDF Abstract  
Supramolecular functional helical superstructures are typical structures exhibiting many fascinating properties and performances. In nature, cholesteric liquid crystals (CLCs) are self-assembled soft helical superstructures that display orientation-dependent features of supramolecular helical architectures and have potential scientific applications. The most intriguing applications of CLCs primarily depend on the various orientations of their helical axis. We have successfully manipulated the focal conic into imperfect planar textures by using external acoustic stimuli through a CLC cell treated with a planar alignment layer. However, intense acoustic stimuli induce a thermal effect, disordered CLC structures, and the aggregation of chiral dopants. To tackle this issue, we proposed a new self-assembly approach to control CLC helical superstructures through acoustic stimuli. This method enabled the switch of the initial focal conic texture into a unique self-assemble radial-lying hierarchical superstructure (RLHS) texture, providing high transmission and enabling the maintenance of a permanently steady state even after removing external stimuli. Furthermore, the addition of dichroic dyes confirmed the radial aliment of the RLHS structure by utilizing polarized light absorption features, which highlighted the radially oriented helical axes. The device enables the self-assembly of soft matter, leading to new superstructures with practical applications in anti-counterfeiting and other branches of science.
Lee C., Yang D., Lee G., Wang C., Liao W.
2025-02-18 citations by CoLab: 0
Chen Y., Chang Y., Huang G.
International Review of Finance scimago Q2 wos Q2
2025-02-13 citations by CoLab: 0 Abstract  
AbstractThis study investigates the relationship between board chairs' early‐life experiences during the Great Chinese Famine and the debt maturity choices of Chinese listed firms from 2000 to 2017. The findings reveal that board chairs with famine experience demonstrate a stronger preference for long‐term debt usage. Moreover, these board chairs underestimate future corporate earnings, are less prone to overinvestment, adopt more hedging strategies, and ensure higher‐quality accounting information. The results are particularly pronounced in firms with lower asset redeployability, higher financial distress risk, the absence of political affiliations, non‐state ownership, lower market competition, and heightened economic policy uncertainty. These findings suggest that the observed behavior stems from a risk‐averse orientation rather than altruistic motivations among board chairs with famine experience.
Wu J., Wu S.
Physical Review Research scimago Q1 wos Q1 Open Access
2025-02-12 citations by CoLab: 0 PDF Abstract  
We propose a linear-optical scheme that allows encoding grid-state quantum bits (qubits) into a bosonic mode using cat state and postselection as sources of non-Gaussianity in the encoding. As a linear-optical realization of the quantum-walk encoding scheme in [Lin , ], we employ the cat state as a quantum coin that enables encoding approximate Gottesman-Kitaev-Preskill qubits through quantum walk of a squeezed vacuum state in phase space. We show that the conditional phase-space displacement necessary for the encoding can be realized through a Mach-Zehnder interferometer (MZI) assisted with ancillary cat-state input under appropriate parameter regimes. By analyzing the fidelity of the MZI-based displacement operation, we identify the region of parameter space over which the proposed linear-optical scheme can generate grid-state qubits with high fidelity. With adequate parameter setting, our proposal should be accessible to current optical and superconducting-circuit platforms in preparing grid-state qubits for bosonic modes in the, respectively, optical and microwave domains. Published by the American Physical Society 2025
Wu Y., Huang Y., Phan Q., Chan F., Trinh D.
2025-02-11 citations by CoLab: 0
Nguyen Van P., Huang S.J., Tran Nhu C., Vu-Dinh H., Jen C., Bui Thanh T., Chu Duc T., Do Quang L.
Analytical Letters scimago Q3 wos Q3
2025-02-06 citations by CoLab: 0

Since 1970

Total publications
13175
Total citations
274985
Citations per publication
20.87
Average publications per year
235.27
Average authors per publication
4.1
h-index
169
Metrics description

Top-30

Fields of science

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Electrical and Electronic Engineering, 2108, 16%
Condensed Matter Physics, 1496, 11.35%
Computer Science Applications, 1050, 7.97%
General Chemistry, 939, 7.13%
Mechanical Engineering, 903, 6.85%
General Materials Science, 875, 6.64%
Electronic, Optical and Magnetic Materials, 833, 6.32%
Software, 763, 5.79%
Physical and Theoretical Chemistry, 694, 5.27%
Materials Chemistry, 681, 5.17%
General Medicine, 653, 4.96%
Mechanics of Materials, 643, 4.88%
General Physics and Astronomy, 587, 4.46%
Atomic and Molecular Physics, and Optics, 548, 4.16%
Biochemistry, 537, 4.08%
General Engineering, 537, 4.08%
Computer Networks and Communications, 498, 3.78%
Applied Mathematics, 486, 3.69%
Control and Systems Engineering, 486, 3.69%
Organic Chemistry, 463, 3.51%
Surfaces, Coatings and Films, 462, 3.51%
Information Systems, 452, 3.43%
General Chemical Engineering, 440, 3.34%
Industrial and Manufacturing Engineering, 416, 3.16%
Hardware and Architecture, 406, 3.08%
Economics and Econometrics, 394, 2.99%
Artificial Intelligence, 350, 2.66%
Instrumentation, 334, 2.54%
Signal Processing, 306, 2.32%
Energy Engineering and Power Technology, 284, 2.16%
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With foreign organizations

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With other countries

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USA, 1302, 9.88%
Japan, 222, 1.69%
India, 204, 1.55%
United Kingdom, 144, 1.09%
Australia, 139, 1.06%
Germany, 138, 1.05%
Vietnam, 120, 0.91%
Canada, 108, 0.82%
Republic of Korea, 101, 0.77%
Russia, 88, 0.67%
Czech Republic, 66, 0.5%
France, 64, 0.49%
Thailand, 64, 0.49%
Singapore, 63, 0.48%
Malaysia, 54, 0.41%
Italy, 48, 0.36%
Indonesia, 46, 0.35%
Sweden, 43, 0.33%
Netherlands, 41, 0.31%
Spain, 34, 0.26%
Colombia, 34, 0.26%
New Zealand, 32, 0.24%
Poland, 32, 0.24%
Saudi Arabia, 31, 0.24%
Turkey, 29, 0.22%
Philippines, 27, 0.2%
Brazil, 20, 0.15%
Serbia, 20, 0.15%
Belgium, 19, 0.14%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1970 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.