Fujin Wang
Impact in
- Automotive Engineering top 0.5%
- Advanced Battery Technologies Research
-
- Model Reduction and Neural Networks
Papers in
-
- Advanced Battery Technologies Research 14
-
- Time Series Analysis and Forecasting 1
- Co-authors
- Zhi Zhai (15 shared papers)Zhibin Zhao (16 shared papers)Xuefeng Chen (15 shared papers)Shibin Wang (4 shared papers)Ruqiang Yan (1 shared paper)Zuogang Shang (1 shared paper)Bingchen Liu (3 shared papers)Shiyu Zheng (3 shared papers)
- Journals
- Journal of Energy Storage (5 papers)Reliability Engineering & System Safety (3 papers)Expert Systems with Applications (1 paper)Journal of Power Sources (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Fujin Wang
16 papers receiving 884 citations
Fujin Wang's Hit Papers
Peers
Comparison fields: 5 of 28
- Automotive Engineering 709
- Statistical and Nonlinear Physics 36
- Control and Systems Engineering 81
- Energy Engineering and Power Technology 8
- Safety, Risk, Reliability and Quality 21
Countries citing papers authored by Fujin Wang
This map shows the geographic impact of Fujin Wang'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 Fujin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fujin Wang more than expected).
Fields of papers citing papers by Fujin Wang
This network shows the impact of papers produced by Fujin Wang. 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 Fujin Wang. The network helps show where Fujin Wang may publish in the future.
Co-authors
The 17 scholars most cited alongside Fujin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis Hit paper breakdown → | 2024 | 477 |
| 2 | 2022 | 107 | |
| 3 | 2023 | 78 | |
| 4 | 2022 | 68 | |
| 5 | 2023 | 50 | |
| 6 | 2022 | 31 | |
| 7 | 2024 | 29 | |
| 8 | 2025 | 22 | |
| 9 | 2024 | 17 | |
| 10 | 2025 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2021 | 3 | |
| 13 | 2025 | 3 | |
| 14 | 2022 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2026 | 1 | |
| 17 | 2026 | 0 | |
| 18 | 2026 | 0 |
About Fujin Wang
Fujin Wang is a scholar working on Automotive Engineering, Signal Processing, Statistical and Nonlinear Physics, Artificial Intelligence and Control and Systems Engineering, having authored 18 papers that have together received 901 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (14 papers), Advanced Graph Neural Networks (2 papers), Anomaly Detection Techniques and Applications (1 paper), Machine Fault Diagnosis Techniques (1 paper), Model Reduction and Neural Networks (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Automotive Engineering (709 citations), Statistical and Nonlinear Physics (36 citations), Control and Systems Engineering (81 citations), Energy Engineering and Power Technology (8 citations) and Safety, Risk, Reliability and Quality (21 citations). Fujin Wang has collaborated with scholars based in China and United States. Frequent co-authors include Zhi Zhai, Zhibin Zhao, Xuefeng Chen, Shibin Wang, Ruqiang Yan, Zuogang Shang, Bingchen Liu, Shiyu Zheng, Huan Xi and Yingkai Liu. Their work appears in journals such as Journal of Energy Storage, Reliability Engineering & System Safety, Expert Systems with Applications, Journal of Power Sources and Nature Communications.
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.