Fei Ju
Impact in
- Automotive Engineering top 2%
- Electric and Hybrid Vehicle Technologies
- Advanced Battery Technologies Research
- Vehicle emissions and performance
- Vehicle Dynamics and Control Systems
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- Advanced Combustion Engine Technologies
Papers in
-
- Electric and Hybrid Vehicle Technologies 19
- Advanced Battery Technologies Research 11
- Vehicle emissions and performance 9
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- Electric Vehicles and Infrastructure 16
- Co-authors
- Weichao Zhuang (21 shared papers)Ziyou Song (3 shared papers)Guodong Yin (3 shared papers)Dongsuk Kum (1 shared paper)Xiaowu Zhang (1 shared paper)Shengbo Eben Li (1 shared paper)Liangmo Wang (9 shared papers)Qun Wang (12 shared papers)
In The Last Decade
Fei Ju
44 papers receiving 627 citations
Peers
Comparison fields: 5 of 102
- Automotive Engineering 344
- Fluid Flow and Transfer Processes 33
- Electrical and Electronic Engineering 254
- Developmental Neuroscience 17
- Transportation 25
Countries citing papers authored by Fei Ju
This map shows the geographic impact of Fei Ju's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fei Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Ju more than expected).
Fields of papers citing papers by Fei Ju
This network shows the impact of papers produced by Fei Ju. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fei Ju. The network helps show where Fei Ju may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Ju, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 187 | |
| 2 | 2024 | 40 | |
| 3 | 2019 | 26 | |
| 4 | 2019 | 25 | |
| 5 | 2022 | 25 | |
| 6 | 2016 | 24 | |
| 7 | 2019 | 23 | |
| 8 | 2023 | 22 | |
| 9 | 2020 | 20 | |
| 10 | 2023 | 19 | |
| 11 | 2017 | 19 | |
| 12 | 2019 | 18 | |
| 13 | 2022 | 16 | |
| 14 | 2024 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2017 | 14 | |
| 17 | 2020 | 13 | |
| 18 | 2018 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2024 | 10 |
About Fei Ju
Fei Ju is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Molecular Biology, Control and Systems Engineering and Epidemiology, having authored 46 papers that have together received 646 indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (19 papers), Electric Vehicles and Infrastructure (16 papers), Advanced Battery Technologies Research (11 papers), Vehicle emissions and performance (9 papers), Traffic control and management (5 papers), Aviation Industry Analysis and Trends (3 papers), Air Traffic Management and Optimization (3 papers) and Transportation Planning and Optimization (3 papers). The work is most often cited by research in Automotive Engineering (344 citations), Fluid Flow and Transfer Processes (33 citations), Electrical and Electronic Engineering (254 citations), Developmental Neuroscience (17 citations) and Transportation (25 citations). Fei Ju has collaborated with scholars based in China, Sweden and Singapore. Frequent co-authors include Weichao Zhuang, Ziyou Song, Guodong Yin, Dongsuk Kum, Xiaowu Zhang, Shengbo Eben Li, Liangmo Wang, Qun Wang, Nikolce Murgovski and Mian Wang. Their work appears in journals such as Energy, IEEE Transactions on Vehicular Technology, SAE technical papers on CD-ROM/SAE technical paper series, International Journal of Hydrogen Energy and IEEE Transactions on Transportation Electrification.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.