Mingyang Sun

5.0k total citations · 3 hit papers
125 papers, 3.5k citations indexed

About

Mingyang Sun is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Mingyang Sun has authored 125 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Electrical and Electronic Engineering, 31 papers in Control and Systems Engineering and 23 papers in Artificial Intelligence. Recurrent topics in Mingyang Sun's work include Smart Grid Energy Management (32 papers), Energy Load and Power Forecasting (26 papers) and Smart Grid Security and Resilience (21 papers). Mingyang Sun is often cited by papers focused on Smart Grid Energy Management (32 papers), Energy Load and Power Forecasting (26 papers) and Smart Grid Security and Resilience (21 papers). Mingyang Sun collaborates with scholars based in China, United Kingdom and United States. Mingyang Sun's co-authors include Goran Štrbac, Yi Wang, Chongqing Kang, Dawei Qiu, Ioannis Konstantelos, Tingqi Zhang, Fei Teng, Ning Zhang, Zongxiang Lu and Dahua Gan and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mingyang Sun

119 papers receiving 3.4k citations

Hit Papers

Probabilistic individual load forecasting using pinball l... 2018 2026 2020 2023 2018 2024 2024 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
Mingyang Sun China 32 2.2k 949 571 294 287 125 3.5k
Shouxiang Wang China 31 3.3k 1.5× 1.5k 1.5× 439 0.8× 236 0.8× 334 1.2× 158 3.9k
Farshid Keynia Iran 35 3.2k 1.5× 737 0.8× 1.2k 2.1× 204 0.7× 206 0.7× 91 4.5k
Ming Zhou China 31 3.1k 1.4× 1.3k 1.4× 215 0.4× 138 0.5× 318 1.1× 313 4.1k
Zhinong Wei China 40 3.8k 1.8× 1.2k 1.3× 1.2k 2.2× 251 0.9× 218 0.8× 201 4.8k
Chuanwen Jiang China 32 4.0k 1.8× 1.8k 1.9× 523 0.9× 104 0.4× 232 0.8× 139 4.6k
Huaizhi Wang China 33 3.6k 1.6× 1.1k 1.1× 1.3k 2.3× 211 0.7× 135 0.5× 136 4.9k
Zhe Song China 27 1.5k 0.7× 580 0.6× 606 1.1× 99 0.3× 147 0.5× 61 2.7k
Mohamed A. Mohamed Egypt 44 3.5k 1.6× 2.1k 2.2× 517 0.9× 143 0.5× 160 0.6× 149 5.0k
Mohd Wazir Mustafa Malaysia 35 3.3k 1.5× 2.1k 2.3× 414 0.7× 98 0.3× 265 0.9× 207 4.6k
Chuntian Cheng China 43 3.0k 1.4× 551 0.6× 552 1.0× 103 0.4× 74 0.3× 192 6.1k

Countries citing papers authored by Mingyang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Mingyang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingyang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Mingyang Sun. A scholar is included among the top collaborators of Mingyang Sun 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 Mingyang Sun. Mingyang Sun 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.
Sun, Mingyang, et al.. (2025). Low-Light Image Enhancement Based on Retinex Reflectance Compensation. International Journal of Software Engineering and Knowledge Engineering. 35(11). 1555–1571.
2.
Sun, Mingyang, et al.. (2024). Assessing the Ecological and Health Risks Associated with Heavy Metals in PM2.5 Based on their Potential Bioavailability. Water Air & Soil Pollution. 235(5). 2 indexed citations
3.
Sun, Mingyang, et al.. (2024). Enhancing Low-Light Images: A Novel Approach Combining Anisotropic Diffusion and Retinex. 2215–2220. 1 indexed citations
5.
Zhang, Zhenyong, Mengxiang Liu, Mingyang Sun, et al.. (2024). Vulnerability of Machine Learning Approaches Applied in IoT-Based Smart Grid: A Review. IEEE Internet of Things Journal. 11(11). 18951–18975. 63 indexed citations breakdown →
6.
Cheng, Guanghuan, et al.. (2023). Variation of Organic Matter and Releasing Risk Assessment of Pentachlorophenol (PCP) in Sewage Sludge Composting. Water Air & Soil Pollution. 234(4). 2 indexed citations
7.
Gu, Hao, et al.. (2023). Non‐Thermal Escape of Sulfur and Oxygen on Io Driven by Photochemistry. Journal of Geophysical Research Planets. 128(9). 2 indexed citations
8.
Wang, Yi, Dawei Qiu, Yu Wang, Mingyang Sun, & Goran Štrbac. (2023). Graph Learning-Based Voltage Regulation in Distribution Networks With Multi-Microgrids. IEEE Transactions on Power Systems. 39(1). 1881–1895. 31 indexed citations
9.
Wang, Jianxiao, Liudong Chen, Zhenfei Tan, et al.. (2023). Inherent spatiotemporal uncertainty of renewable power in China. Nature Communications. 14(1). 5379–5379. 90 indexed citations
10.
Gu, Chaojie, et al.. (2023). Toward Scalable and Efficient Hierarchical Deep Reinforcement Learning for 5G RAN Slicing. IEEE Transactions on Green Communications and Networking. 7(4). 2153–2162. 6 indexed citations
11.
Zhang, Zhenyong, et al.. (2023). Cybersecurity Analysis of Data-Driven Power System Stability Assessment. IEEE Internet of Things Journal. 10(17). 15723–15735. 18 indexed citations
12.
Sun, Mingyang, Hao Gu, Jun Cui, et al.. (2023). Enhanced Hydrogen Escape on Mars during the 2018 Global Dust Storm: Impact of Horizontal Wind Field. The Astrophysical Journal. 953(1). 71–71. 3 indexed citations
13.
Li, Biao, Can Wan, Fengji Luo, Peng Yu, & Mingyang Sun. (2022). A bi‐level transactive control model for integrating decision‐making and DLMP‐pricing in distribution networks. IET Generation Transmission & Distribution. 16(19). 3814–3824. 1 indexed citations
14.
Hou, Yaqing, et al.. (2022). Behavior Reasoning for Opponent Agents in Multi-Agent Learning Systems. IEEE Transactions on Emerging Topics in Computational Intelligence. 6(5). 1125–1136. 8 indexed citations
15.
Zhang, Zhenyong, Mingyang Sun, Ruilong Deng, Chongqing Kang, & Mo–Yuen Chow. (2022). Physics-Constrained Robustness Evaluation of Intelligent Security Assessment for Power Systems. IEEE Transactions on Power Systems. 38(1). 872–884. 16 indexed citations
16.
Yu, Peng, Can Wan, Mingyang Sun, Yongzhi Zhou, & Yonghua Song. (2022). Distributed Voltage Control of Active Distribution Networks With Global Sensitivity. IEEE Transactions on Power Systems. 37(6). 4214–4228. 35 indexed citations
17.
Sun, Mingyang, et al.. (2022). Physics-Constrained Vulnerability Assessment of Deep Reinforcement Learning-Based SCOPF. IEEE Transactions on Power Systems. 38(3). 2690–2704. 26 indexed citations
18.
Cheng, Cheng, Guijun Ma, Yong Zhang, et al.. (2020). A Deep Learning-Based Remaining Useful Life Prediction Approach for Bearings. IEEE/ASME Transactions on Mechatronics. 25(3). 1243–1254. 158 indexed citations
19.
Wang, Yi, Dahua Gan, Mingyang Sun, et al.. (2018). Probabilistic individual load forecasting using pinball loss guided LSTM. Applied Energy. 235. 10–20. 341 indexed citations breakdown →
20.
Sun, Mingyang, Ioannis Konstantelos, & Goran Štrbac. (2017). C-Vine copula mixture model for clustering of residential electrical load pattern data. 1–1. 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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