Ziming Yan

1.3k total citations · 1 hit paper
30 papers, 880 citations indexed

About

Ziming Yan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Energy Engineering and Power Technology. According to data from OpenAlex, Ziming Yan has authored 30 papers receiving a total of 880 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 13 papers in Control and Systems Engineering and 4 papers in Energy Engineering and Power Technology. Recurrent topics in Ziming Yan's work include Power System Optimization and Stability (7 papers), Microgrid Control and Optimization (7 papers) and Smart Grid Security and Resilience (6 papers). Ziming Yan is often cited by papers focused on Power System Optimization and Stability (7 papers), Microgrid Control and Optimization (7 papers) and Smart Grid Security and Resilience (6 papers). Ziming Yan collaborates with scholars based in Singapore, China and Australia. Ziming Yan's co-authors include Yan Xu, Yu Wang, Yang Liu, Yan Zheng, Feng Xue, Kangjie Chen, Shaoxia Yu, Rui Cao, Ch. Zhang and Niancheng Zhou and has published in prestigious journals such as Environmental Science & Technology, Langmuir and Applied Energy.

In The Last Decade

Ziming Yan

26 papers receiving 849 citations

Hit Papers

A Multi-Agent Deep Reinforcement Learning Method for Coop... 2020 2026 2022 2024 2020 50 100 150 200
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.

  1. A Multi-Agent Deep Reinforcement Learning Method for Cooperative Load Frequency Control of a Multi-Area Power System
    2020 247 citations Ziming Yan, Yan Xu IEEE Transactions on Power Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziming Yan Singapore 12 709 506 81 67 45 30 880
Kaishun Xiahou China 16 545 0.8× 559 1.1× 24 0.3× 72 1.1× 18 0.4× 41 789
N.D.R. Sarma United States 16 755 1.1× 573 1.1× 45 0.6× 54 0.8× 45 1.0× 36 940
Abolfazl Jalilvand Iran 17 532 0.8× 562 1.1× 66 0.8× 38 0.6× 26 0.6× 81 759
Qiuye Sun China 9 531 0.7× 502 1.0× 98 1.2× 43 0.6× 44 1.0× 17 773
Irfan Sami Pakistan 16 605 0.9× 429 0.8× 54 0.7× 55 0.8× 71 1.6× 59 760
Yingduo Han China 22 1.5k 2.2× 995 2.0× 123 1.5× 46 0.7× 48 1.1× 65 1.7k
Qiteng Hong United Kingdom 19 954 1.3× 696 1.4× 83 1.0× 25 0.4× 26 0.6× 109 1.1k
Paresh Kumar Nayak India 20 1.1k 1.6× 1.1k 2.1× 66 0.8× 71 1.1× 50 1.1× 60 1.3k
Ju Liu China 12 727 1.0× 415 0.8× 113 1.4× 52 0.8× 25 0.6× 27 900
Padmanabh Thakur India 16 517 0.7× 334 0.7× 24 0.3× 153 2.3× 112 2.5× 65 854

Countries citing papers authored by Ziming Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ziming Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziming Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Ziming Yan. A scholar is included among the top collaborators of Ziming Yan 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 Ziming Yan. Ziming Yan 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
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Yan, Ziming, et al.. (2025). A Lightweight Time-Adaptive Data-Driven Method for Detecting Multi-False Data Injection in Smart Meters. IEEE Transactions on Smart Grid. 16(6). 5144–5155.
3.
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Yan, Ziming, et al.. (2025). Electrically-Induced Droplet Detachment and Transport on Bionic Honeycomb-Fiber Composite Surfaces. Langmuir. 41(7). 4918–4929. 1 indexed citations
5.
Yang, Zhuoran, Jiaxin Shi, Yifeng Li, et al.. (2025). Polyurethane elastomer with stable mechanical performance during biodegradation: Material design and constitutive modeling. Journal of the Mechanics and Physics of Solids. 200. 106145–106145. 1 indexed citations
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Wang, Qianggang, Yao Zou, Yuan Chi, et al.. (2024). Physical model-assisted deep reinforcement learning for energy management optimization of industrial electric-hydrogen coupling system with hybrid energy storage. Journal of Energy Storage. 100. 113477–113477. 11 indexed citations
8.
Wang, Yu, Yao Zou, Ziming Yan, et al.. (2024). Regional-privacy-preserving operation of networked microgrids: Edge-cloud cooperative learning with differentiated policies. Applied Energy. 370. 123611–123611. 9 indexed citations
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Yan, Ziming, Jiaxin Shi, Zhuoran Yang, et al.. (2024). Tuning the stiffness and stretchability of micro-scale-structured polymer membrane simultaneously by integrating mechanical modeling and spatiotemporal controllable photolithograph. Journal of the Mechanics and Physics of Solids. 193. 105906–105906. 3 indexed citations
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Yan, Ziming, et al.. (2023). A Dimensional Augmentation-Based Data-Driven Method for Detecting False Data Injection in Smart Meters. IEEE Transactions on Smart Grid. 15(1). 1180–1183. 12 indexed citations
13.
Yan, Ziming & Yan Xu. (2023). Real-Time Optimal Power Flow With Linguistic Stipulations: Integrating GPT-Agent and Deep Reinforcement Learning. IEEE Transactions on Power Systems. 39(2). 4747–4750. 27 indexed citations
14.
Yan, Ziming & Yan Xu. (2022). A Hybrid Data-Driven Method for Fast Solution of Security-Constrained Optimal Power Flow. IEEE Transactions on Power Systems. 37(6). 4365–4374. 37 indexed citations
15.
Zheng, Yan, et al.. (2021). Vulnerability Assessment of Deep Reinforcement Learning Models for Power System Topology Optimization. IEEE Transactions on Smart Grid. 12(4). 3613–3623. 37 indexed citations
16.
Yan, Ziming & Yan Xu. (2020). Real-Time Optimal Power Flow: A Lagrangian Based Deep Reinforcement Learning Approach. IEEE Transactions on Power Systems. 35(4). 3270–3273. 128 indexed citations
17.
Yan, Ziming & Yan Xu. (2020). A Multi-Agent Deep Reinforcement Learning Method for Cooperative Load Frequency Control of a Multi-Area Power System. IEEE Transactions on Power Systems. 35(6). 4599–4608. 247 indexed citations breakdown →
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Yan, Ziming & Yan Xu. (2018). Data-Driven Load Frequency Control for Stochastic Power Systems: A Deep Reinforcement Learning Method With Continuous Action Search. IEEE Transactions on Power Systems. 34(2). 1653–1656. 264 indexed citations
20.
Yu, Shaoxia, et al.. (2005). On the change of fracture mechanism with test temperature. Engineering Fracture Mechanics. 73(3). 331–347. 13 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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