Dapai Shi

528 total citations
27 papers, 359 citations indexed

About

Dapai Shi is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Dapai Shi has authored 27 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Automotive Engineering, 20 papers in Electrical and Electronic Engineering and 5 papers in Control and Systems Engineering. Recurrent topics in Dapai Shi's work include Advanced Battery Technologies Research (16 papers), Electric Vehicles and Infrastructure (15 papers) and Electric and Hybrid Vehicle Technologies (12 papers). Dapai Shi is often cited by papers focused on Advanced Battery Technologies Research (16 papers), Electric Vehicles and Infrastructure (15 papers) and Electric and Hybrid Vehicle Technologies (12 papers). Dapai Shi collaborates with scholars based in China, United States and Canada. Dapai Shi's co-authors include Jingyuan Zhao, Zhenghong Wang, Andrew Burke, Yubo Lian, Xudong Qu, Junbin Wang, Michael Fowler, Chika Eze, Manh‐Kien Tran and Liang Chu and has published in prestigious journals such as Applied Energy, IEEE Access and Sustainability.

In The Last Decade

Dapai Shi

24 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dapai Shi China	11	311	249	87	27	13	27	359
Fangjuan Cheng China	6	257 0.8×	235 0.9×	90 1.0×	16 0.6×	12 0.9×	8	319
Xianbin Yang China	10	249 0.8×	229 0.9×	61 0.7×	41 1.5×	19 1.5×	11	293
Pyeong‐Yeon Lee South Korea	14	412 1.3×	365 1.5×	87 1.0×	24 0.9×	21 1.6×	34	462
Heinz Wenzl Germany	7	513 1.6×	532 2.1×	157 1.8×	34 1.3×	16 1.2×	12	643
Ruchen Huang China	13	445 1.4×	409 1.6×	110 1.3×	9 0.3×	20 1.5×	34	545
Jorn M. Reniers United Kingdom	7	539 1.7×	534 2.1×	110 1.3×	37 1.4×	20 1.5×	12	604
Jalal Sabor Morocco	10	337 1.1×	288 1.2×	101 1.2×	42 1.6×	19 1.5×	29	474
Thomas Nemeth Germany	9	398 1.3×	410 1.6×	57 0.7×	11 0.4×	31 2.4×	11	476
Yitao Wu China	9	472 1.5×	444 1.8×	76 0.9×	35 1.3×	16 1.2×	18	539

Countries citing papers authored by Dapai Shi

Since Specialization

Citations

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

Fields of papers citing papers by Dapai Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dapai Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Dapai Shi. A scholar is included among the top collaborators of Dapai Shi 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 Dapai Shi. Dapai Shi 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

Shi, Dapai, et al.. (2025). Towards artificial intelligence-enabled autonomous battery prognostics and management. Journal of Energy Chemistry. 113. 905–939. 1 indexed citations

Zhao, Jingyuan, et al.. (2025). Battery state of health estimation under fast charging via deep transfer learning. iScience. 28(5). 112235–112235. 9 indexed citations

Shi, Dapai, et al.. (2025). Techno-Economic Analysis of Hydrogen Hybrid Vehicles. World Electric Vehicle Journal. 16(8). 418–418.

Shi, Dapai, et al.. (2025). Efficient Hybrid Deep Learning Model for Battery State of Health Estimation Using Transfer Learning. Energies. 18(6). 1491–1491. 1 indexed citations

Wang, Zhenghong, et al.. (2024). Efficiency Analysis of Electric Vehicles with AMT and Dual-Motor Systems. World Electric Vehicle Journal. 15(5). 182–182. 4 indexed citations

Gao, Yizhao, et al.. (2024). A Model-Based Battery Dataset Recovery Method Considering Cell Aging in Real-World Electric Vehicles. IEEE Transactions on Industrial Informatics. 20(5). 7904–7914. 6 indexed citations

Shi, Dapai, et al.. (2024). Research on a Path Tracking Control Strategy for Autonomous Vehicles Based on State Parameter Identification. World Electric Vehicle Journal. 15(7). 295–295. 2 indexed citations

Wang, Yun, et al.. (2024). Comparative Study and Optimization of Energy Management Strategies for Hydrogen Fuel Cell Vehicles. World Electric Vehicle Journal. 15(9). 414–414. 1 indexed citations

Wang, Yun, et al.. (2024). Optimized Longitudinal and Lateral Control Strategy of Intelligent Vehicles Based on Adaptive Sliding Mode Control. World Electric Vehicle Journal. 15(9). 387–387. 2 indexed citations

10.

Zhao, Jingyuan, Di Li, Xuning Feng, et al.. (2024). Battery engineering safety technologies (BEST): M5 framework of mechanisms, modes, metrics, modeling, and mitigation. eTransportation. 22. 100364–100364. 16 indexed citations

11.

Cai, Qingling, et al.. (2024). Research on Optimization of Intelligent Driving Vehicle Path Tracking Control Strategy Based on Backpropagation Neural Network. World Electric Vehicle Journal. 15(5). 185–185. 2 indexed citations

12.

Gao, Yizhao, et al.. (2023). Determination of half-cell open-circuit potential curve of silicon-graphite in a physics-based model for lithium-ion batteries. Applied Energy. 349. 121621–121621. 7 indexed citations

13.

Shi, Dapai, Jingyuan Zhao, Zhenghong Wang, et al.. (2023). Cloud-Based Deep Learning for Co-Estimation of Battery State of Charge and State of Health. Energies. 16(9). 3855–3855. 47 indexed citations

14.

Shi, Dapai, Jingyuan Zhao, Zhenghong Wang, et al.. (2023). Cloud-Based Artificial Intelligence Framework for Battery Management System. Energies. 16(11). 4403–4403. 54 indexed citations

15.

Shi, Dapai, et al.. (2023). Research on an Improved Rule-Based Energy Management Strategy Enlightened by the DP Optimization Results. Sustainability. 15(13). 10472–10472. 10 indexed citations

16.

Shi, Dapai, Jingyuan Zhao, Zhenghong Wang, et al.. (2023). Spatial-Temporal Self-Attention Transformer Networks for Battery State of Charge Estimation. Electronics. 12(12). 2598–2598. 39 indexed citations

17.

Wang, Zhenghong, Dapai Shi, Jingyuan Zhao, et al.. (2023). Battery health diagnostics: Bridging the gap between academia and industry. eTransportation. 19. 100309–100309. 35 indexed citations

18.

Shi, Dapai, et al.. (2022). Adaptive Energy Management Strategy Based on Intelligent Prediction of Driving Cycle for Plug−In Hybrid Electric Vehicle. Processes. 10(9). 1831–1831. 12 indexed citations

19.

Shi, Dapai, et al.. (2020). Energy Control Strategy Study of HEB Based on Torque Distribution. 7667–7672.

20.

Shi, Dapai, et al.. (2017). Energy Control Strategy of HEB Based on the Instantaneous Optimization Algorithm. IEEE Access. 5. 19876–19888. 8 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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