Fei Ding

2.4k total citations · 1 hit paper
57 papers, 1.6k citations indexed

About

Fei Ding is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Fei Ding has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 32 papers in Control and Systems Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Fei Ding's work include Optimal Power Flow Distribution (34 papers), Microgrid Control and Optimization (27 papers) and Smart Grid Energy Management (26 papers). Fei Ding is often cited by papers focused on Optimal Power Flow Distribution (34 papers), Microgrid Control and Optimization (27 papers) and Smart Grid Energy Management (26 papers). Fei Ding collaborates with scholars based in United States, China and United Kingdom. Fei Ding's co-authors include Jianzhong Wu, Chengshan Wang, Peng Li, Haoran Ji, Jinli Zhao, Guanyu Song, Junbo Zhao, Qi Huang, Weihao Hu and Zhe Chen and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid.

In The Last Decade

Fei Ding

51 papers receiving 1.6k citations

Hit Papers

Coordinated Control Method of Voltage and Reactive Power ... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Ding United States 18 1.4k 1.1k 112 68 59 57 1.6k
Haoming Liu China 17 968 0.7× 553 0.5× 148 1.3× 56 0.8× 101 1.7× 164 1.2k
Mahmood Joorabian Iran 22 1.4k 0.9× 829 0.8× 81 0.7× 19 0.3× 53 0.9× 107 1.5k
Mario Russo Italy 21 1.2k 0.8× 896 0.8× 112 1.0× 36 0.5× 48 0.8× 98 1.4k
Jan Shair China 18 1.2k 0.8× 920 0.8× 293 2.6× 58 0.9× 34 0.6× 38 1.4k
S. F. Mekhamer Egypt 19 1.5k 1.1× 1.1k 1.0× 71 0.6× 20 0.3× 45 0.8× 78 1.7k
Alfeu J. Sguarezi Filho Brazil 22 1.5k 1.1× 1.1k 1.0× 126 1.1× 20 0.3× 101 1.7× 184 1.7k
Guanyu Song China 22 1.9k 1.3× 1.3k 1.2× 174 1.6× 13 0.2× 65 1.1× 70 2.0k
Bo Fan United States 23 1.2k 0.8× 1.2k 1.1× 242 2.2× 68 1.0× 59 1.0× 57 1.6k
Peng Kou China 21 1.2k 0.9× 783 0.7× 147 1.3× 22 0.3× 149 2.5× 74 1.4k
Sheng Huang China 21 1.4k 1.0× 795 0.7× 277 2.5× 18 0.3× 70 1.2× 63 1.5k

Countries citing papers authored by Fei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Fei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Ding. A scholar is included among the top collaborators of Fei Ding 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 Fei Ding. Fei Ding 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.
Wang, Handong, et al.. (2025). Distribution System Blackstart and Restoration Using DERs and Dynamically Formed Microgrids. IEEE Transactions on Smart Grid. 16(3). 2100–2114.
2.
Zhao, Junbo, et al.. (2025). Safe Reinforcement Learning-Based Transient Stability Control for Islanded Microgrids With Topology Reconfiguration. IEEE Transactions on Smart Grid. 16(4). 3432–3444. 3 indexed citations
3.
Liang, Yingqi, et al.. (2024). Online Model-Free DER Dispatch via Adaptive Voltage Sensitivity Estimation and Chance Constrained Programming. IEEE Transactions on Power Systems. 39(6). 7318–7330. 3 indexed citations
4.
Peng, Peng, et al.. (2024). A reasoning method for rice fertilization strategy based on spatiotemporal knowledge graph. Transactions in GIS. 28(4). 902–924. 1 indexed citations
5.
Ding, Fei, et al.. (2024). Application of MoS2 in energy and its performance improvement strategy. Journal of Energy Storage. 104. 114605–114605. 4 indexed citations
7.
Bo, Rui, Linquan Bai, Antonio J. Conejo, et al.. (2023). Special Section on Local and Distributed Electricity Markets. IEEE Transactions on Smart Grid. 14(2). 1347–1352. 3 indexed citations
8.
Zhao, Junbo, et al.. (2023). Multi-Task Reinforcement Learning for Distribution System Voltage Control With Topology Changes. IEEE Transactions on Smart Grid. 14(3). 2481–2484. 32 indexed citations
10.
Yao, Yiyun, et al.. (2023). Online Model-Free Chance-Constrained Distribution System Voltage Control using DERs. 1–5. 2 indexed citations
11.
Yao, Yiyun, et al.. (2022). Multi-Agent Deep Reinforcement Learning for Realistic Distribution System Voltage Control using PV Inverters. 2022 IEEE Power & Energy Society General Meeting (PESGM). 1–5. 3 indexed citations
12.
Sahu, Abhijeet, et al.. (2022). A Fast and Scalable Genetic Algorithm-Based Approach for Planning of Microgrids in Distribution Networks. 2022 IEEE Power & Energy Society General Meeting (PESGM). 1–5. 7 indexed citations
13.
Ding, Fei, Gang Hu, Chao Li, et al.. (2021). Machine learning-enabled estimation of crosswind load effect on tall buildings. Journal of Wind Engineering and Industrial Aerodynamics. 220. 104860–104860. 54 indexed citations
14.
Zhao, Junbo, et al.. (2021). Global Sensitivity Analysis of Large Distribution System With PVs Using Deep Gaussian Process. IEEE Transactions on Power Systems. 36(5). 4888–4891. 13 indexed citations
15.
Cao, Di, Junbo Zhao, Weihao Hu, et al.. (2021). Model-free voltage control of active distribution system with PVs using surrogate model-based deep reinforcement learning. Applied Energy. 306. 117982–117982. 69 indexed citations
16.
Li, Peng, Jie Ji, Haoran Ji, et al.. (2020). MPC-Based Local Voltage Control Strategy of DGs in Active Distribution Networks. IEEE Transactions on Sustainable Energy. 11(4). 2911–2921. 67 indexed citations
17.
Ji, Haoran, Chengshan Wang, Peng Li, et al.. (2018). A centralized-based method to determine the local voltage control strategies of distributed generator operation in active distribution networks. Applied Energy. 228. 2024–2036. 82 indexed citations
18.
Jiang, Huaiguang, Fei Ding, & Yingchen Zhang. (2017). Short-term load forecasting based automatic distribution network reconfiguration. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–5. 16 indexed citations
19.
Ji, Haoran, Chengshan Wang, Peng Li, et al.. (2017). An enhanced SOCP-based method for feeder load balancing using the multi-terminal soft open point in active distribution networks. Applied Energy. 208. 986–995. 105 indexed citations
20.
Li, Peng, Haoran Ji, Chengshan Wang, et al.. (2017). Optimal Operation of Soft Open Points in Active Distribution Networks Under Three-Phase Unbalanced Conditions. IEEE Transactions on Smart Grid. 10(1). 380–391. 150 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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