Jibin Yang
Impact in
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
- Electric and Hybrid Vehicle Technologies
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- Fuel Cells and Related Materials
- Electric Vehicles and Infrastructure
- Advanced Memory and Neural Computing
Papers in
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- Advanced Battery Technologies Research 12
- Electric and Hybrid Vehicle Technologies 12
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- Fuel Cells and Related Materials 7
- Electric Vehicles and Infrastructure 4
- Advanced Memory and Neural Computing 4
- Co-authors
- Yiqiang Peng (7 shared papers)Xiaohua Wu (12 shared papers)Pengyi Deng (6 shared papers)Bo Zhang (2 shared papers)Han Zhang (2 shared papers)Le Wang (1 shared paper)Guo‐Liang Wang (1 shared paper)Jiye Zhang (1 shared paper)
In The Last Decade
Jibin Yang
23 papers receiving 287 citations
Peers
Comparison fields: 5 of 45
- Automotive Engineering 141
- Electrical and Electronic Engineering 196
- Bioengineering 13
- Energy Engineering and Power Technology 7
- Renewable Energy, Sustainability and the Environment 31
Countries citing papers authored by Jibin Yang
This map shows the geographic impact of Jibin Yang'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 Jibin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jibin Yang more than expected).
Fields of papers citing papers by Jibin Yang
This network shows the impact of papers produced by Jibin Yang. 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 Jibin Yang. The network helps show where Jibin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jibin Yang, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 40 | |
| 2 | 2019 | 33 | |
| 3 | 2022 | 27 | |
| 4 | 2023 | 27 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 19 | |
| 7 | 2023 | 18 | |
| 8 | 2019 | 15 | |
| 9 | 2019 | 14 | |
| 10 | 2024 | 13 | |
| 11 | 2022 | 10 | |
| 12 | 2025 | 9 | |
| 13 | 2025 | 7 | |
| 14 | 2025 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2018 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2017 | 3 |
About Jibin Yang
Jibin Yang is a scholar working on Automotive Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence and Bioengineering, having authored 27 papers that have together received 289 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (12 papers), Electric and Hybrid Vehicle Technologies (12 papers), Fuel Cells and Related Materials (7 papers), Neural Networks Stability and Synchronization (6 papers), Electric Vehicles and Infrastructure (4 papers), Neural Networks and Applications (4 papers), Advanced Memory and Neural Computing (4 papers) and Railway Systems and Energy Efficiency (3 papers). The work is most often cited by research in Automotive Engineering (141 citations), Electrical and Electronic Engineering (196 citations), Bioengineering (13 citations), Energy Engineering and Power Technology (7 citations) and Renewable Energy, Sustainability and the Environment (31 citations). Jibin Yang has collaborated with scholars based in China, Sweden and Taiwan. Frequent co-authors include Yiqiang Peng, Xiaohua Wu, Pengyi Deng, Bo Zhang, Han Zhang, Le Wang, Guo‐Liang Wang, Jiye Zhang, Xiaohui Xu and Yan Wang. Their work appears in journals such as Energy, Complexity, Energy Conversion and Management, Neural Processing Letters and Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit.
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.