Fujin Wang

950 total citations · 1 hit paper
14 papers, 509 citations indexed

About

Fujin Wang is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Fujin Wang has authored 14 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Automotive Engineering, 11 papers in Electrical and Electronic Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Fujin Wang's work include Advanced Battery Technologies Research (12 papers), Advancements in Battery Materials (9 papers) and Fault Detection and Control Systems (4 papers). Fujin Wang is often cited by papers focused on Advanced Battery Technologies Research (12 papers), Advancements in Battery Materials (9 papers) and Fault Detection and Control Systems (4 papers). Fujin Wang collaborates with scholars based in China. Fujin Wang's co-authors include Zhi Zhai, Zhibin Zhao, Xuefeng Chen, Yi Di, Shibin Wang, Ruqiang Yan, Zuogang Shang, Xuefeng Chen, Shiyu Zheng and Bingchen Liu and has published in prestigious journals such as Nature Communications, Journal of Power Sources and IEEE Transactions on Industrial Electronics.

In The Last Decade

Fujin Wang

13 papers receiving 488 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis

2024 226 citations Fujin Wang, Zhi Zhai et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Fujin Wang China	9	412	305	156	77	36	14	509
Yihuan Li China	9	412 1.0×	377 1.2×	130 0.8×	57 0.7×	18 0.5×	17	527
Ashish Khandelwal India	9	389 0.9×	402 1.3×	124 0.8×	76 1.0×	22 0.6×	14	495
Xinyu Gu Australia	6	299 0.7×	235 0.8×	87 0.6×	40 0.5×	14 0.4×	10	395
Zhiqiang Lyu China	14	605 1.5×	505 1.7×	185 1.2×	153 2.0×	26 0.7×	28	669
Haixu Yang China	10	212 0.5×	196 0.6×	111 0.7×	22 0.3×	23 0.6×	19	340
Renxin Xiao China	16	849 2.1×	741 2.4×	244 1.6×	101 1.3×	21 0.6×	44	955
Jiaming Fan China	5	324 0.8×	285 0.9×	111 0.7×	120 1.6×	23 0.6×	8	415
Jiuchun Jiang China	10	429 1.0×	324 1.1×	207 1.3×	83 1.1×	32 0.9×	20	501
Zewang Chen China	10	548 1.3×	423 1.4×	206 1.3×	122 1.6×	36 1.0×	16	612

Countries citing papers authored by Fujin Wang

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fujin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fujin Wang. A scholar is included among the top collaborators of Fujin Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fujin Wang. Fujin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Yu, Qiuning, Fujin Wang, Zhi Zhai, et al.. (2025). Multi-time scale feature extraction for early prediction of battery RUL and knee point using a hybrid deep learning approach. Journal of Energy Storage. 117. 116024–116024. 8 indexed citations

Wang, Fujin, et al.. (2025). Physics-Informed Neural Network for Satellite Battery Degradation Estimation Based on an Extreme Segment Data Within 2 Min. IEEE Transactions on Industrial Electronics. 72(9). 9748–9757. 2 indexed citations

Yuan, Hongming, et al.. (2025). Personalized Federated Transfer Learning Based on Global Synthetic Data for Battery State of Health Estimation. IEEE Internet of Things Journal. 12(17). 35956–35971.

Wang, Fujin, Ziqian Wu, Zhibin Zhao, et al.. (2024). Physical knowledge guided state of health estimation of lithium-ion battery with limited segment data. Reliability Engineering & System Safety. 251. 110325–110325. 14 indexed citations

Zhao, Zhibin, Bingchen Liu, Fujin Wang, et al.. (2024). Exploration of Imbalanced Regression in state-of-health estimation of Lithium-ion batteries. Journal of Energy Storage. 105. 114542–114542. 4 indexed citations

Wang, Fujin, et al.. (2024). An interpretable graph neural network for real-world satellite power system anomaly detection based on graph filtering. Expert Systems with Applications. 254. 124348–124348. 8 indexed citations

Wang, Fujin, Zhi Zhai, Zhibin Zhao, Yi Di, & Xuefeng Chen. (2024). Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis. Nature Communications. 15(1). 4332–4332. 226 indexed citations breakdown →

Wang, Fujin, Zhi Zhai, Bingchen Liu, et al.. (2023). Open access dataset, code library and benchmarking deep learning approaches for state-of-health estimation of lithium-ion batteries. Journal of Energy Storage. 77. 109884–109884. 44 indexed citations

Wang, Fujin, Zhibin Zhao, Zhi Zhai, et al.. (2023). Inherently Interpretable Physics-Informed Neural Network for Battery Modeling and Prognosis. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 1145–1159. 26 indexed citations

10.

Wang, Fujin, Zhibin Zhao, Zhi Zhai, et al.. (2022). Feature disentanglement and tendency retainment with domain adaptation for Lithium-ion battery capacity estimation. Reliability Engineering & System Safety. 230. 108897–108897. 24 indexed citations

11.

Zhai, Zhi, et al.. (2022). Remaining Useful Life Prediction of Aero-Engine Based on Transformer with Tendency Retainment. 30. 1–6. 1 indexed citations

12.

Wang, Fujin, Zhibin Zhao, Zhi Zhai, et al.. (2022). Explainability-driven model improvement for SOH estimation of lithium-ion battery. Reliability Engineering & System Safety. 232. 109046–109046. 87 indexed citations

13.

Wang, Fujin, et al.. (2022). A transferable lithium-ion battery remaining useful life prediction method from cycle-consistency of degradation trend. Journal of Power Sources. 521. 230975–230975. 62 indexed citations

14.

Wang, Fujin, Zhibin Zhao, Zhi Zhai, et al.. (2021). Remaining Useful Life Prediction of Lithium-ion Battery Based on Cycle-consistency Learning. 1–6. 3 indexed citations

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.

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