Ye Shi

1.1k total citations
42 papers, 731 citations indexed

About

Ye Shi is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Ye Shi has authored 42 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 11 papers in Artificial Intelligence and 9 papers in Control and Systems Engineering. Recurrent topics in Ye Shi's work include Advanced Battery Technologies Research (6 papers), Electric Vehicles and Infrastructure (5 papers) and Optimal Power Flow Distribution (5 papers). Ye Shi is often cited by papers focused on Advanced Battery Technologies Research (6 papers), Electric Vehicles and Infrastructure (5 papers) and Optimal Power Flow Distribution (5 papers). Ye Shi collaborates with scholars based in China, Australia and United States. Ye Shi's co-authors include Hoang Duong Tuan, Andrey V. Savkin, H. Vincent Poor, Chin‐Teng Lin, Trung Q. Duong, Yu‐Cheng Chang, Chengpo Mu, Ruiheng Zhang, Lixin Xu and Min Xu and has published in prestigious journals such as Applied Energy, IEEE Journal on Selected Areas in Communications and Energy.

In The Last Decade

Ye Shi

40 papers receiving 715 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ye Shi China	14	280	168	154	153	115	42	731
Ashley Hill France	4	161 0.6×	281 1.7×	221 1.4×	121 0.8×	100 0.9×	7	759
Longhua Ma China	16	200 0.7×	201 1.2×	152 1.0×	97 0.6×	125 1.1×	68	698
Antonin Raffin Germany	4	160 0.6×	286 1.7×	221 1.4×	118 0.8×	94 0.8×	9	758
Chen‐Chien Hsu Taiwan	15	220 0.8×	186 1.1×	193 1.3×	322 2.1×	59 0.5×	111	810
Muhammad Usman Rafique United States	10	111 0.4×	124 0.7×	284 1.8×	141 0.9×	91 0.8×	25	565
Minghu Wu China	15	129 0.5×	245 1.5×	374 2.4×	155 1.0×	123 1.1×	56	793
Lei Xie China	10	129 0.5×	284 1.7×	120 0.8×	81 0.5×	34 0.3×	43	602
Xiao Lu China	17	361 1.3×	86 0.5×	238 1.5×	404 2.6×	48 0.4×	82	1.0k
Muhammad Tahir Pakistan	11	181 0.6×	151 0.9×	72 0.5×	66 0.4×	57 0.5×	38	581

Countries citing papers authored by Ye Shi

Since Specialization

Citations

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

Fields of papers citing papers by Ye Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ye Shi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shi, Meng, et al.. (2025). Sequential topology generation based on stage-wise concept and multi-objective integrated optimization of supercritical CO2 cycle. Energy. 335. 137991–137991.

Shi, Ye, et al.. (2025). Remaining Useful Lifetime Prediction of Lithium-Ion Batteries Based on Fragment Data and Trend Identification. IEEE Transactions on Industrial Informatics. 21(5). 3666–3675. 1 indexed citations

Cao, Zhi, Ye Shi, Yu‐Cheng Chang, Xin Yao, & Chin‐Teng Lin. (2024). Twin Fuzzy Networks With Interpolation Consistency Regularization for Weakly Supervised Anomaly Detection. IEEE Transactions on Fuzzy Systems. 32(9). 5086–5097. 1 indexed citations

Shi, Ye, et al.. (2024). A distributionally robust approach for the parallel machine scheduling problem with optional machines and job tardiness. Computers & Operations Research. 170. 106776–106776. 2 indexed citations

Shi, Ye, et al.. (2024). A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids. IEEE Transactions on Smart Grid. 15(5). 4890–4902. 4 indexed citations

Li, Shao-Yuan, et al.. (2024). KD-Crowd: a knowledge distillation framework for learning from crowds. Frontiers of Computer Science. 19(1). 1 indexed citations

Yan, Siqi, et al.. (2024). Two-Stage Optimization for Efficient V2G Coordination in Distribution Power System. 245–251.

Shi, Ye, et al.. (2023). Robust Fuzzy Neural Network With an Adaptive Inference Engine. IEEE Transactions on Cybernetics. 54(5). 3275–3285. 20 indexed citations

Sheng, Zhichao, et al.. (2023). Multi-Agent Deep Reinforcement Learning for Energy-Efficient UAV-Aided Hybrid NOMA Data Collection. IEEE Communications Letters. 27(10). 2722–2726. 5 indexed citations

10.

Lin, Chin‐Teng, et al.. (2022). Spatial-temporal attention-based convolutional network with text and numerical information for stock price prediction. Neural Computing and Applications. 34(17). 14387–14395. 14 indexed citations

11.

Zhang, Zixuan, Yuning Jiang, Yuanming Shi, Ye Shi, & Wei Chen. (2022). Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control. 2022 IEEE Globecom Workshops (GC Wkshps). 1717–1722. 12 indexed citations

12.

Shi, Ye, Hoang Duong Tuan, Andrey V. Savkin, et al.. (2021). Distributed model predictive control for joint coordination of demand response and optimal power flow with renewables in smart grid. Applied Energy. 290. 116701–116701. 45 indexed citations

13.

Zhang, Ruiheng, Lixin Xu, Zhengyu Yu, et al.. (2021). Deep-IRTarget: An Automatic Target Detector in Infrared Imagery Using Dual-Domain Feature Extraction and Allocation. IEEE Transactions on Multimedia. 24. 1735–1749. 143 indexed citations

14.

Chang, Yu‐Cheng, et al.. (2021). Interpretable Fuzzy Logic Control for Multirobot Coordination in a Cluttered Environment. IEEE Transactions on Fuzzy Systems. 29(12). 3676–3685. 20 indexed citations

15.

Shi, Ye, Chin‐Teng Lin, Yu‐Cheng Chang, et al.. (2020). Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment. IEEE Transactions on Emerging Topics in Computational Intelligence. 5(1). 29–41. 18 indexed citations

16.

Shi, Ye, Hoang Duong Tuan, Trung Q. Duong, H. Vincent Poor, & Andrey V. Savkin. (2019). PMU Placement Optimization for Efficient State Estimation in Smart Grid. IEEE Journal on Selected Areas in Communications. 38(1). 71–83. 40 indexed citations

17.

Shi, Ye, Hoang Duong Tuan, Andrey V. Savkin, Trung Q. Duong, & H. Vincent Poor. (2018). Model Predictive Control for Smart Grids With Multiple Electric-Vehicle Charging Stations. IEEE Transactions on Smart Grid. 10(2). 2127–2136. 123 indexed citations

18.

Shi, Ye, Hoang Duong Tuan, Pierre Apkarian, & Andrey V. Savkin. (2018). Global optimal power flow over large-scale power transmission networks. Systems & Control Letters. 118. 16–21. 9 indexed citations

19.

Shi, Ye, Bin Liang, Xueqian Wang, Wenfu Xu, & Houde Liu. (2012). Modeling and simulation of space robot visual servoing for autonomous target capturing. 2275–2280. 7 indexed citations

20.

Shi, Ye. (2012). Research on Coordinated Control Method for Stabilizing a Coupling System after the Spacecraft Is Captured. 4 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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