eTransportation

Elsevier
Elsevier
ISSN: 25901168

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SCImago
Q1
WOS
Q1
Impact factor
15
SJR
2.470
CiteScore
19.8
Categories
Automotive Engineering
Electrical and Electronic Engineering
Energy Engineering and Power Technology
Transportation
Areas
Energy
Engineering
Social Sciences
Years of issue
2019-2025
journal names
eTransportation
Publications
355
Citations
13 072
h-index
55
Top-3 citing journals
Journal of Energy Storage
Journal of Energy Storage (1141 citations)
eTransportation
eTransportation (934 citations)
Journal of Power Sources
Journal of Power Sources (528 citations)
Top-3 organizations
Tsinghua University
Tsinghua University (65 publications)
RWTH Aachen University
RWTH Aachen University (16 publications)
Top-3 countries
China (161 publications)
USA (42 publications)
Germany (28 publications)

Most cited in 5 years

Found 
from chars
Publications found: 670
Mapping of karst sinkholes from LIDAR data using machine-learning methods in the Trieste area
Creati N., Paganini P., Sterzai P., Pavan A.
Q2
Taylor & Francis
Journal of Spatial Science 2025 citations by CoLab: 0
Autonomous photogrammetric flight plan for an unmanned aerial vehicle (UAV) over sloped terrain
Moreno Sánchez A.A., Pérez Ruiz A.
Q2
Taylor & Francis
Journal of Spatial Science 2025 citations by CoLab: 0
Registration method based on physical scale matching for 3D laser point cloud and high-resolution images
Hu X., Wang Y., Li Z., Wang P., Zou Y.
Q2
Taylor & Francis
Journal of Spatial Science 2025 citations by CoLab: 0
Can the low earth orbit enhanced GNSS (LeGNSS) achieve the expected Precise Point Positioning (PPP) solutions in urban canyons?
Zheng Y., Li B., Ge H.
Q2
Taylor & Francis
Journal of Spatial Science 2025 citations by CoLab: 0
SAR image matching using an improved SIFT-based anisotropic diffusion algorithm
Gupta P., Modi P., Paul S., Gupta S.
Q2
Taylor & Francis
Journal of Spatial Science 2024 citations by CoLab: 0
Data and model-driven 3D modeling method for transmission line LiDAR data
Zhang Z., Liu J., Xie X., Hu T., Liu S.
Q2
Taylor & Francis
Journal of Spatial Science 2024 citations by CoLab: 0
A synchronous retrieval method of vegetation water content and soil moisture based on GNSS-IR and multi-source data fusion
Ma J., Liang Y., Cheng B., Hu X., Ren C., Yang M., Huang Y., Liang C., Guo X.
Q2
Taylor & Francis
Journal of Spatial Science 2024 citations by CoLab: 0
A target geolocation method using laser trilateration under ECEF frame with atmospheric refraction correction
Li P., Zhang Y., Yang W., Sun K., Chen Y., Bai T., Wu Y.
Q2
Taylor & Francis
Journal of Spatial Science 2024 citations by CoLab: 0
Spatial analysis of anemia prevalence in early childhood in Northeastern Thailand, 2020–2022
Natalang O., Taertulakarn S., Sritart H.
Q2
Taylor & Francis
Journal of Spatial Science 2024 citations by CoLab: 0
Understanding tea plantation growth stages and cultural operations by synergy of optical and Synthetic Aperture Radar (SAR) indices
Mitra M., Haldar D., Patel N.R.
Q2
Taylor & Francis
Journal of Spatial Science 2024 citations by CoLab: 0
Image shadow removal based on pseudo-illuminated region and log domain transformation
Guo M., Cao R., Huang Y., Chen X., Zhang Z.
Q2
Taylor & Francis
Journal of Spatial Science 2024 citations by CoLab: 0
Multi-hazard susceptibility mapping of landslides and earthquakes in Bhagirathi Valley region of Uttarakhand Himalaya, India
Gupta N., Kanungo D.P., Das J.
Q2
Taylor & Francis
Journal of Spatial Science 2024 citations by CoLab: 1
Ionospheric process noise estimation via single-receiver GNSS data
Sadegh Nojehdeh P., Khodabandeh A., Khoshelham K.
Q2
Taylor & Francis
Journal of Spatial Science 2024 citations by CoLab: 0
Analysis of vegetation influence on building shadow extraction in remote sensing imagery using deep convolutional neural networks
Ge S., Xu Z., Cao S., Feng D., Junfan W.
Q2
Taylor & Francis
Journal of Spatial Science 2024 citations by CoLab: 0
A novel approach to coral species classification using deep learning and unsupervised feature extraction
Jannathul Firdous R., Sabena S.
Q2
Taylor & Francis
Journal of Spatial Science 2024 citations by CoLab: 0

Top-100

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Publishing organizations in 5 years

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Publishing countries

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China, 161, 45.35%
USA, 42, 11.83%
Germany, 28, 7.89%
United Kingdom, 17, 4.79%
Canada, 15, 4.23%
France, 11, 3.1%
Sweden, 11, 3.1%
Australia, 7, 1.97%
India, 7, 1.97%
Denmark, 6, 1.69%
Austria, 5, 1.41%
Republic of Korea, 5, 1.41%
Singapore, 5, 1.41%
Italy, 4, 1.13%
Switzerland, 3, 0.85%
Japan, 3, 0.85%
Egypt, 2, 0.56%
Spain, 2, 0.56%
Saudi Arabia, 2, 0.56%
Ecuador, 2, 0.56%
Russia, 1, 0.28%
Portugal, 1, 0.28%
Bangladesh, 1, 0.28%
Belgium, 1, 0.28%
Netherlands, 1, 0.28%
Norway, 1, 0.28%
Czech Republic, 1, 0.28%
Ethiopia, 1, 0.28%
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Publishing countries in 5 years

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China, 146, 44.24%
USA, 31, 9.39%
Germany, 25, 7.58%
United Kingdom, 15, 4.55%
France, 11, 3.33%
Canada, 11, 3.33%
Sweden, 7, 2.12%
Denmark, 6, 1.82%
Australia, 5, 1.52%
Austria, 5, 1.52%
India, 5, 1.52%
Republic of Korea, 5, 1.52%
Singapore, 5, 1.52%
Italy, 4, 1.21%
Switzerland, 3, 0.91%
Egypt, 2, 0.61%
Spain, 2, 0.61%
Saudi Arabia, 2, 0.61%
Japan, 2, 0.61%
Russia, 1, 0.3%
Portugal, 1, 0.3%
Belgium, 1, 0.3%
Netherlands, 1, 0.3%
Norway, 1, 0.3%
Czech Republic, 1, 0.3%
Ecuador, 1, 0.3%
Ethiopia, 1, 0.3%
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