Yongcun Fan
- Automotive Engineering top 0.5%
- Advanced Battery Technologies Research 59
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- Fault Detection and Control Systems 18
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- Advancements in Battery Materials 42
- Electric Vehicles and Infrastructure 22
- Advanced Battery Materials and Technologies 4
- Advanced DC-DC Converters 3
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- Reliability and Maintenance Optimization 8
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- Machine Learning and ELM 3
- Co-authors
- Shunli WangCarlos FernándezSiyu JinPaul Takyi‐AninakwaChunmei YuWen CaoDaniel‐Ioan StroeHaotian Shi
- Journals
- SHILAP Revista de lepidopterología (9 papers)Journal of The Electrochemical Society (2 papers)Journal of Power Sources (1 paper)
- Partner nations
- ChinaUnited KingdomDenmark
In The Last Decade
Yongcun Fan
57 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Automotive Engineering 1.3k
- Control and Systems Engineering 449
- Electrical and Electronic Engineering 1.1k
- Safety, Risk, Reliability and Quality 176
- Energy Engineering and Power Technology 37
Countries citing papers authored by Yongcun Fan
This map shows the geographic impact of Yongcun Fan'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 Yongcun Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongcun Fan more than expected).
Fields of papers citing papers by Yongcun Fan
This network shows the impact of papers produced by Yongcun Fan. 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 Yongcun Fan. The network helps show where Yongcun Fan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yongcun Fan, 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 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 24 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 15 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 13 | |
| 10 | 2023 | 22 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 62 | |
| 14 | 2023 | 12 | |
| 15 | 2023 | 4 | |
| 16 | Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteriesbreakdown → | 2022 | 384 |
| 17 | 2022 | 5 | |
| 18 | A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteriesbreakdown → | 2021 | 212 |
| 19 | 2021 | 1 | |
| 20 | 2021 | 8 |
About Yongcun Fan
Yongcun Fan is a scholar working on Automotive Engineering, Safety, Risk, Reliability and Quality and Control and Systems Engineering, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (59 papers), Advancements in Battery Materials (42 papers), Electric Vehicles and Infrastructure (22 papers), Fault Detection and Control Systems (18 papers), Reliability and Maintenance Optimization (8 papers), Advanced Battery Materials and Technologies (4 papers), Machine Learning and ELM (3 papers) and Advanced DC-DC Converters (3 papers). The work is most often cited by research in Automotive Engineering (1.3k citations), Control and Systems Engineering (449 citations) and Electrical and Electronic Engineering (1.1k citations). Yongcun Fan has collaborated with scholars based in China, United Kingdom and Denmark. Frequent co-authors include Shunli Wang, Carlos Fernández, Siyu Jin, Paul Takyi‐Aninakwa, Chunmei Yu, Wen Cao, Daniel‐Ioan Stroe, Haotian Shi, Yanxin Xie and Wenhua Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Journal of Power Sources.
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.