Shiquan Shen

1.1k total citations
37 papers, 816 citations indexed

About

Shiquan Shen is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Shiquan Shen has authored 37 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Automotive Engineering, 21 papers in Electrical and Electronic Engineering and 7 papers in Computational Mechanics. Recurrent topics in Shiquan Shen's work include Advanced Battery Technologies Research (17 papers), Electric Vehicles and Infrastructure (10 papers) and Advancements in Battery Materials (10 papers). Shiquan Shen is often cited by papers focused on Advanced Battery Technologies Research (17 papers), Electric Vehicles and Infrastructure (10 papers) and Advancements in Battery Materials (10 papers). Shiquan Shen collaborates with scholars based in China, United Kingdom and United States. Shiquan Shen's co-authors include Zheng Chen, Yonggang Liu, Yuanjian Zhang, Jiangwei Shen, Qiao Xue, Hongqian Zhao, Tianyou Wang, Zhizhao Che, Ming Jia and Guang Li and has published in prestigious journals such as Journal of Power Sources, IEEE Transactions on Power Electronics and International Journal of Heat and Mass Transfer.

In The Last Decade

Shiquan Shen

34 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiquan Shen China 15 587 543 182 95 89 37 816
Junjian Hou China 13 482 0.8× 372 0.7× 306 1.7× 19 0.2× 88 1.0× 38 833
Thomas Steffen United Kingdom 12 116 0.2× 138 0.3× 349 1.9× 73 0.8× 19 0.2× 58 630
Qadeer Ahmed United States 16 469 0.8× 366 0.7× 437 2.4× 8 0.1× 56 0.6× 127 898
Bo-Chiuan Chen Taiwan 12 467 0.8× 306 0.6× 146 0.8× 59 0.6× 8 0.1× 47 644
Hui Xie China 15 382 0.7× 179 0.3× 458 2.5× 163 1.7× 12 0.1× 75 945
Simos A. Evangelou United Kingdom 22 1.3k 2.2× 525 1.0× 487 2.7× 13 0.1× 20 0.2× 90 1.6k
Stefano Barsali Italy 19 671 1.1× 1.4k 2.6× 899 4.9× 15 0.2× 40 0.4× 61 1.8k
Jue Yang China 14 397 0.7× 232 0.4× 181 1.0× 14 0.1× 25 0.3× 62 574
Denise Rizzo United States 15 408 0.7× 382 0.7× 141 0.8× 8 0.1× 15 0.2× 66 749

Countries citing papers authored by Shiquan Shen

Since Specialization
Citations

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

Fields of papers citing papers by Shiquan Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiquan Shen

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

All Works

20 of 20 papers shown
1.
Jia, Zheng, Fengxiang Guo, Fuxing Wei, et al.. (2025). Collaborative Decision Making With Hybrid Deep Reinforcement Learning for Connected and Autonomous Vehicles in Mixed Traffic. IEEE Transactions on Intelligent Transportation Systems. 26(10). 14750–14763.
2.
Shen, Shiquan, Yonggang Liu, Yuanjian Zhang, et al.. (2025). Energy-saving control of intelligent connected plug-in hybrid electric vehicle via fusing driving intention of front vehicle. Green Energy and Intelligent Transportation. 5(2). 100330–100330. 1 indexed citations
3.
4.
Wu, Simin, Zheng Chen, Shiquan Shen, et al.. (2024). Co-Optimization of Velocity Planning and Energy Management for Intelligent Plug-In Hybrid Electric Vehicles Based on Adaptive Dynamic Programming. IEEE Transactions on Vehicular Technology. 73(7). 9812–9824. 10 indexed citations
5.
Yao, Na, et al.. (2024). Point cloud completion network for 3D shapes with morphologically diverse structures. Complex & Intelligent Systems. 10(3). 3389–3409. 1 indexed citations
6.
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
7.
Guo, Ningyuan, Yonggang Liu, Shiquan Shen, et al.. (2024). Adaptive deep reinforcement learning energy management for hybrid electric vehicles considering driving condition recognition. Energy. 313. 134086–134086. 8 indexed citations
8.
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
9.
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
10.
Wu, Simin, Zheng Chen, Shiquan Shen, et al.. (2023). Hierarchical cooperative eco‐driving control for connected autonomous vehicle platoon at signalized intersections. IET Intelligent Transport Systems. 17(8). 1560–1574. 15 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.
Chen, Zheng, et al.. (2022). Energy management strategy for power-split plug-in hybrid electric vehicle based on MPC and double Q-learning. Energy. 245. 123182–123182. 89 indexed citations
13.
Chen, Zheng, Simin Wu, Shiquan Shen, et al.. (2022). Co-optimization of velocity planning and energy management for autonomous plug-in hybrid electric vehicles in urban driving scenarios. Energy. 263. 126060–126060. 52 indexed citations
14.
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
15.
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
16.
17.
Xue, Qiao, Shiquan Shen, Guang Li, et al.. (2020). Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Capacity Estimation and Box-Cox Transformation. IEEE Transactions on Vehicular Technology. 69(12). 14765–14779. 36 indexed citations
18.
Chen, Zheng, et al.. (2020). Operation Efficiency Optimization for Permanent Magnet Synchronous Motor Based on Improved Particle Swarm Optimization. IEEE Access. 9. 777–788. 16 indexed citations
19.
Shen, Shiquan, et al.. (2019). An experimental investigation of the heating behaviors of droplets of emulsified fuels at high temperature. Applied Thermal Engineering. 161. 114059–114059. 35 indexed citations
20.
Jacobson, Samuel G., et al.. (2009). Configurable PVC checking for fault identification. 493–497. 1 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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