Jiangwei Shen

3.4k total citations
88 papers, 2.6k citations indexed

About

Jiangwei Shen is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Jiangwei Shen has authored 88 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Automotive Engineering, 65 papers in Electrical and Electronic Engineering and 22 papers in Control and Systems Engineering. Recurrent topics in Jiangwei Shen's work include Advanced Battery Technologies Research (66 papers), Advancements in Battery Materials (42 papers) and Electric Vehicles and Infrastructure (31 papers). Jiangwei Shen is often cited by papers focused on Advanced Battery Technologies Research (66 papers), Advancements in Battery Materials (42 papers) and Electric Vehicles and Infrastructure (31 papers). Jiangwei Shen collaborates with scholars based in China, United Kingdom and United States. Jiangwei Shen's co-authors include Zheng Chen, Yonggang Liu, Xing Shu, Yuanjian Zhang, Renxin Xiao, Guang Li, Shiquan Shen, Hongqian Zhao, Zhenzhen Lei and Qiao Xue and has published in prestigious journals such as Journal of Power Sources, IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics.

In The Last Decade

Jiangwei Shen

80 papers receiving 2.6k citations

Peers

Jiangwei Shen

EEE

CSE

SRRQ

Yuanjian Zhang China

Guangzhong Dong China

Yinjiao Xing United States

Quan Ouyang China

Yunhong Che China

Yongcun Fan China

Ji Wu China

Zhongwei Deng China

Siyu Jin China

Yuanjian Zhang China

Jiangwei Shen

2.7k ×1.1

2.2k ×1.1

EEE

739 ×1.1

CSE

222 ×0.7

SRRQ

101 ×1.1

Citations per year, relative to Jiangwei Shen Jiangwei Shen (= 1×) peers Yuanjian Zhang

Countries citing papers authored by Jiangwei Shen

Since Specialization

Citations

This map shows the geographic impact of Jiangwei Shen'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 Jiangwei Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangwei Shen more than expected).

Fields of papers citing papers by Jiangwei Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiangwei Shen. 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 Jiangwei Shen. The network helps show where Jiangwei Shen may publish in the future.

Co-authorship network of co-authors of Jiangwei Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangwei Shen. A scholar is included among the top collaborators of Jiangwei Shen 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 Jiangwei Shen. Jiangwei Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shu, Xing, et al.. (2025). Meta Learning Based State of Health Estimation of Lithium-Ion Batteries With Small Sampling Retraining. IEEE Transactions on Industrial Electronics. 73(2). 2462–2474.

Chen, Zheng, Jiangwei Shen, Qiang Zhang, et al.. (2025). State of health estimation for lithium-ion batteries based on fragmented charging data and improved gated recurrent unit neural network. Journal of Energy Storage. 115. 115952–115952. 5 indexed citations

Shu, Xing, Xi Liu, Renhua Feng, et al.. (2024). State of health estimation for lithium-ion batteries based on voltage segment and transformer. Journal of Energy Storage. 108. 115200–115200. 10 indexed citations

Shen, Jiangwei, Zheng Zhang, Zheng Chen, et al.. (2024). Temperature Estimation of Multiple Places for Lithium-Ion Batteries Based on Improved Electrochemical Thermal Modeling. IEEE Transactions on Transportation Electrification. 11(1). 382–392. 2 indexed citations

Shu, Xing, Zheng Chen, Jiangwei Shen, et al.. (2024). Robust State of Health Estimation for Lithium-Ion Batteries Considering Random Charging Behaviors. IEEE Transactions on Transportation Electrification. 11(2). 5545–5554. 4 indexed citations

Zhao, Hongqian, Zhigang Zhao, Xing Shu, et al.. (2024). Voltage fault diagnosis and prognostic of lithium-ion batteries in electric scooters based on hybrid neural network and multiple thresholds. Journal of Power Sources. 618. 235197–235197. 7 indexed citations

Zhao, Hongqian, Zheng Chen, Xing Shu, et al.. (2023). Online surface temperature prediction and abnormal diagnosis of lithium-ion batteries based on hybrid neural network and fault threshold optimization. Reliability Engineering & System Safety. 243. 109798–109798. 36 indexed citations

Shen, Jiangwei, et al.. (2023). Accurate state of health estimation for lithium-ion batteries under random charging scenarios. Energy. 279. 128092–128092. 37 indexed citations

Shu, Xing, Zheng Chen, Jiangwei Shen, et al.. (2023). Ensemble Learning and Voltage Reconstruction Based State of Health Estimation for Lithium-Ion Batteries With Twenty Random Samplings. IEEE Transactions on Power Electronics. 38(4). 5538–5548. 24 indexed citations

10.

Shu, Xing, Zheng Chen, Jiangwei Shen, et al.. (2022). State of Charge Estimation for Lithium-Ion Battery Based on Hybrid Compensation Modeling and Adaptive H-Infinity Filter. IEEE Transactions on Transportation Electrification. 9(1). 945–957. 28 indexed citations

11.

Shen, Shiquan, Yonggang Liu, Yuanjian Zhang, et al.. (2022). Real-Time Energy Management for Plug-in Hybrid Electric Vehicles via Incorporating Double-Delay Q-Learning and Model Prediction Control. IEEE Access. 10. 131076–131089. 14 indexed citations

12.

Xue, Qiao, Junqiu Li, Zheng Chen, et al.. (2022). Online Capacity Estimation of Lithium-Ion Batteries Based on Deep Convolutional Time Memory Network and Partial Charging Profiles. IEEE Transactions on Vehicular Technology. 72(1). 444–457. 15 indexed citations

13.

Shen, Jiangwei, et al.. (2022). Alternative combined co-estimation of state of charge and capacity for lithium-ion batteries in wide temperature scope. Energy. 244. 123236–123236. 40 indexed citations

14.

Shu, Xing, Jiangwei Shen, Guang Li, et al.. (2021). A Flexible State-of-Health Prediction Scheme for Lithium-Ion Battery Packs With Long Short-Term Memory Network and Transfer Learning. IEEE Transactions on Transportation Electrification. 7(4). 2238–2248. 148 indexed citations

15.

Chen, Zheng, Hongqian Zhao, Xing Shu, et al.. (2021). Synthetic state of charge estimation for lithium-ion batteries based on long short-term memory network modeling and adaptive H-Infinity filter. Energy. 228. 120630–120630. 93 indexed citations

16.

Chen, Zheng, et al.. (2021). SOC estimation of aging lithium-ion battery based on a migration model. Energy Storage Science and Technology. 10(1). 326. 2 indexed citations

17.

Chen, Zheng, Hongqian Zhao, Yuanjian Zhang, et al.. (2021). State of health estimation for lithium-ion batteries based on temperature prediction and gated recurrent unit neural network. Journal of Power Sources. 521. 230892–230892. 167 indexed citations

18.

Wu, Yitao, Qiao Xue, Jiangwei Shen, et al.. (2020). State of Health Estimation for Lithium-Ion Batteries Based on Healthy Features and Long Short-Term Memory. IEEE Access. 8. 28533–28547. 121 indexed citations

19.

Chen, Zheng, et al.. (2020). Model-Based Adaptive Joint Estimation of the State of Charge and Capacity for Lithium–Ion Batteries in Their Entire Lifespan. Energies. 13(6). 1410–1410. 8 indexed citations

20.

Chen, Zheng, Qiao Xue, Renxin Xiao, Yonggang Liu, & Jiangwei Shen. (2019). State of Health Estimation for Lithium-ion Batteries Based on Fusion of Autoregressive Moving Average Model and Elman Neural Network. IEEE Access. 7. 102662–102678. 99 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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