Xiaoshun Zhang

6.1k total citations · 1 hit paper
123 papers, 5.0k citations indexed

About

Xiaoshun Zhang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Xiaoshun Zhang has authored 123 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Electrical and Electronic Engineering, 58 papers in Control and Systems Engineering and 17 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Xiaoshun Zhang's work include Microgrid Control and Optimization (49 papers), Frequency Control in Power Systems (31 papers) and Optimal Power Flow Distribution (19 papers). Xiaoshun Zhang is often cited by papers focused on Microgrid Control and Optimization (49 papers), Frequency Control in Power Systems (31 papers) and Optimal Power Flow Distribution (19 papers). Xiaoshun Zhang collaborates with scholars based in China, United Kingdom and Hong Kong. Xiaoshun Zhang's co-authors include Tao Yu, Bo Yang, Hongchun Shu, Liming Sun, Jingbo Wang, Lin Jiang, Haofei Li, Jiawen Li, Wei Yao and Kaiping Qu and has published in prestigious journals such as Applied Physics Letters, Journal of Power Sources and Journal of Cleaner Production.

In The Last Decade

Xiaoshun Zhang

118 papers receiving 4.9k 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.

Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine

2016 326 citations Bo Yang, Xiaoshun Zhang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaoshun Zhang China	41	3.6k	1.8k	1.4k	1.0k	481	123	5.0k
Ahmed Fathy Egypt	43	3.4k 0.9×	1.6k 0.9×	1.9k 1.3×	1.5k 1.4×	674 1.4×	153	5.3k
Yusuf Al‐Turki Saudi Arabia	39	3.4k 0.9×	2.3k 1.3×	1.2k 0.8×	625 0.6×	1.0k 2.1×	166	5.4k
Attia A. El‐Fergany Egypt	43	4.2k 1.2×	2.3k 1.3×	1.5k 1.0×	1.2k 1.2×	401 0.8×	128	5.5k
Bo Yang China	49	5.8k 1.6×	3.0k 1.7×	2.3k 1.6×	1.5k 1.4×	700 1.5×	254	8.0k
Hashim Hizam Malaysia	39	3.5k 1.0×	1.8k 1.0×	1.8k 1.2×	1.3k 1.3×	646 1.3×	192	5.6k
Karar Mahmoud Egypt	39	3.7k 1.0×	2.0k 1.1×	834 0.6×	985 1.0×	275 0.6×	133	4.8k
Shady H. E. Abdel Aleem Egypt	38	4.2k 1.2×	2.3k 1.3×	669 0.5×	580 0.6×	455 0.9×	211	5.4k
Huaizhi Wang China	33	3.6k 1.0×	1.1k 0.6×	1.0k 0.7×	1.3k 1.3×	297 0.6×	136	4.9k
Ziad M. Ali Egypt	36	3.0k 0.8×	1.6k 0.9×	737 0.5×	493 0.5×	448 0.9×	172	4.0k
Thanikanti Sudhakar Babu India	43	4.7k 1.3×	1.3k 0.7×	4.1k 2.8×	2.3k 2.2×	500 1.0×	203	6.9k

Countries citing papers authored by Xiaoshun Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoshun Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoshun Zhang

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

Huang, Xiaoqi, et al.. (2025). Neural Network Based Power Meter Wiring Fault Recognition of Smart Grids Under Abnormal Reactive Power Compensation Scenarios. Energies. 18(3). 545–545.

Zhang, Xiaoshun, et al.. (2025). Nash bargaining-based game for transactive energy of multi-microgrids with dynamic carbon emission factor. International Journal of Electrical Power & Energy Systems. 173. 111367–111367.

Zhang, Xiaoshun, Zhengxun Guo, Feng Pan, Yuyao Yang, & Chuansheng Li. (2023). Dynamic carbon emission factor based interactive control of distribution network by a generalized regression neural network assisted optimization. Energy. 283. 129132–129132. 22 indexed citations

Zhang, Xiaoshun, Shengjie Wang, Xin Wang, et al.. (2023). The stress corrosion cracking behavior of N80 carbon steel under a crevice in an acidic solution containing different concentrations of NaCl. Corrosion Science. 216. 111068–111068. 25 indexed citations

Zhang, Xiaoshun, et al.. (2022). Dropout Deep Neural Network Assisted Transfer Learning for Bi-Objective Pareto AGC Dispatch. IEEE Transactions on Power Systems. 38(2). 1432–1444. 29 indexed citations

Li, Jiawen, Shengchun Yang, Tao Yu, & Xiaoshun Zhang. (2021). Data‐driven optimal PEMFC temperature control via curriculum guidance strategy‐based large‐scale deep reinforcement learning. IET Renewable Power Generation. 16(7). 1283–1298. 2 indexed citations

Li, Jiawen, Tao Yu, & Xiaoshun Zhang. (2021). Emergency fault affected wide-area automatic generation control via large-scale deep reinforcement learning. Engineering Applications of Artificial Intelligence. 106. 104500–104500. 32 indexed citations

Li, Jiawen, Jianguo Yao, Tao Yu, & Xiaoshun Zhang. (2021). Distributed deep reinforcement learning for integrated generation‐control and power‐dispatch of interconnected power grid with various renewable units. IET Renewable Power Generation. 16(7). 1316–1335. 16 indexed citations

Zhang, Xiaoshun, Tao Yu, Bo Yang, & Lin Jiang. (2021). A Random Forest-Assisted Fast Distributed Auction-Based Algorithm for Hierarchical Coordinated Power Control in a Large-Scale PV Power Plant. IEEE Transactions on Sustainable Energy. 12(4). 2471–2481. 22 indexed citations

10.

Pan, Zhenning, et al.. (2021). Multi-Agent Learning-Based Nearly Non-Iterative Stochastic Dynamic Transactive Energy Control of Networked Microgrids. IEEE Transactions on Smart Grid. 13(1). 688–701. 18 indexed citations

11.

Gao, Xiang, et al.. (2021). A Multiagent Competitive Bidding Strategy in a Pool-Based Electricity Market With Price-Maker Participants of WPPs and EV Aggregators. IEEE Transactions on Industrial Informatics. 17(11). 7256–7268. 42 indexed citations

12.

Zhang, Xiaoshun, Zhao Xu, Tao Yu, Bo Yang, & Haizhu Wang. (2020). Optimal Mileage Based AGC Dispatch of a GenCo. IEEE Transactions on Power Systems. 35(4). 2516–2526. 82 indexed citations

13.

Zhang, Xiaoshun, Bo Yang, Tao Yu, & Lin Jiang. (2020). Dynamic Surrogate Model Based Optimization for MPPT of Centralized Thermoelectric Generation Systems Under Heterogeneous Temperature Difference. IEEE Transactions on Energy Conversion. 35(2). 966–976. 56 indexed citations

14.

Yu, Tao, et al.. (2019). Reactive Power Optimization of Large-Scale Power Systems: A Transfer Bees Optimizer Application. Processes. 7(6). 321–321. 7 indexed citations

15.

Yu, Tao, et al.. (2019). Multi-Searcher Optimization for the Optimal Energy Dispatch of Combined Heat and Power-Thermal-Wind-Photovoltaic Systems. Applied Sciences. 9(3). 537–537. 3 indexed citations

16.

Chen, Yixuan, Tao Yu, Bo Yang, Xiaoshun Zhang, & Kaiping Qu. (2019). Many-Objective Optimal Power Dispatch Strategy Incorporating Temporal and Spatial Distribution Control of Multiple Air Pollutants. IEEE Transactions on Industrial Informatics. 15(9). 5309–5319. 20 indexed citations

17.

Yin, Linfei, et al.. (2018). Deep Forest Reinforcement Learning for Preventive Strategy Considering Automatic Generation Control in Large-Scale Interconnected Power Systems. Applied Sciences. 8(11). 2185–2185. 19 indexed citations

18.

Zhang, Xiaoshun, et al.. (2018). Culture Evolution Learning for Optimal Carbon-Energy Combined-Flow. IEEE Access. 6. 15521–15531. 6 indexed citations

19.

Zhang, Xiaoshun, et al.. (2017). Lifelong Learning for Complementary Generation Control of Interconnected Power Grids With High-Penetration Renewables and EVs. IEEE Transactions on Power Systems. 33(4). 4097–4110. 74 indexed citations

20.

Zhang, Xiaoshun, Qing Li, Tao Yu, & Bo Yang. (2016). Consensus Transfer Q-learning for Decentralized Generation Command Dispatch based on Virtual Generation Tribe. IEEE Transactions on Smart Grid. 1–1. 64 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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