Hepeng Li

1.4k total citations · 1 hit paper
20 papers, 1.0k citations indexed

About

Hepeng Li is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Hepeng Li has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 10 papers in Control and Systems Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Hepeng Li's work include Smart Grid Energy Management (12 papers), Microgrid Control and Optimization (7 papers) and Optimal Power Flow Distribution (6 papers). Hepeng Li is often cited by papers focused on Smart Grid Energy Management (12 papers), Microgrid Control and Optimization (7 papers) and Optimal Power Flow Distribution (6 papers). Hepeng Li collaborates with scholars based in United States and China. Hepeng Li's co-authors include Haibo He, Zhiqiang Wan, Danil Prokhorov, Haibo He, Lusi Li, Yan Sun, Yan Sun, Bin Xin, Ling Wang and Hang Shuai and has published in prestigious journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Neural Networks and Learning Systems and Transportation Research Part C Emerging Technologies.

In The Last Decade

Hepeng Li

17 papers receiving 1.0k citations

Hit Papers

Model-Free Real-Time EV Charging Scheduling Based on Deep... 2018 2026 2020 2023 2018 100 200 300 400
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. Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning
    2018 403 citations Zhiqiang Wan, Hepeng Li et al. IEEE Transactions on Smart Grid profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hepeng Li United States 8 913 430 333 83 76 20 1.0k
Mahnoosh Alizadeh United States 17 966 1.1× 457 1.1× 330 1.0× 71 0.9× 127 1.7× 69 1.1k
Pengcheng You China 15 971 1.1× 686 1.6× 180 0.5× 28 0.3× 46 0.6× 47 1.0k
Xiaoying Tang China 12 715 0.8× 451 1.0× 233 0.7× 18 0.2× 35 0.5× 39 789
Mosaddek Hossain Kamal Tushar Canada 13 769 0.8× 324 0.8× 384 1.2× 48 0.6× 65 0.9× 17 869
Kai Heussen Denmark 17 764 0.8× 91 0.2× 472 1.4× 35 0.4× 68 0.9× 63 893
Wenbo Shi United States 15 1.1k 1.2× 188 0.4× 838 2.5× 54 0.7× 45 0.6× 25 1.2k
Kurt S. Myers United States 14 516 0.6× 154 0.4× 400 1.2× 40 0.5× 25 0.3× 24 732
Hajir Pourbabak United States 12 592 0.6× 169 0.4× 302 0.9× 33 0.4× 51 0.7× 21 658
Zhangyu Lu China 8 410 0.4× 261 0.6× 188 0.6× 21 0.3× 30 0.4× 11 569
Oliver Gehrke Denmark 14 624 0.7× 77 0.2× 394 1.2× 117 1.4× 107 1.4× 61 761

Countries citing papers authored by Hepeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Hepeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hepeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hepeng Li. A scholar is included among the top collaborators of Hepeng Li 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 Hepeng Li. Hepeng Li 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.
Li, Mingjun, et al.. (2025). Knowledge transfer from simple to complex: A safe and efficient reinforcement learning framework for autonomous driving decision-making. Advanced Engineering Informatics. 65. 103188–103188. 1 indexed citations
2.
Li, Mingjun, et al.. (2025). From black-box to white-box: Interpretable deep reinforcement learning with Kolmogorov-Arnold networks for autonomous driving. Transportation Research Part C Emerging Technologies. 182. 105386–105386.
3.
4.
Li, Hepeng & Haibo He. (2023). Multiagent Trust Region Policy Optimization. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 12873–12887. 25 indexed citations
5.
6.
Li, Hepeng, X. Zhong, & Haibo He. (2023). An Improved Trust-Region Method for Off-Policy Deep Reinforcement Learning. 1–8. 1 indexed citations
7.
8.
Li, Hepeng & Haibo He. (2022). Learning to Operate Distribution Networks With Safe Deep Reinforcement Learning. IEEE Transactions on Smart Grid. 13(3). 1860–1872. 94 indexed citations
9.
Li, Hepeng, Bin Guo, Yingying Zong, & Debin Shan. (2022). Microstructure and High-Temperature Properties of TC31 Alloy Manufactured by Laser Melting Deposition. Crystals. 12(4). 475–475. 1 indexed citations
10.
11.
Wan, Zhiqiang, Hepeng Li, Hang Shuai, Yan Sun, & Haibo He. (2021). Adversarial Attack for Deep Reinforcement Learning Based Demand Response. 2021 IEEE Power & Energy Society General Meeting (PESGM). 1–5. 2 indexed citations
12.
Li, Hepeng, et al.. (2021). Distributed Volt-VAR Optimization based on Multi-Agent Deep Reinforcement Learning. 1–7. 7 indexed citations
13.
Li, Hepeng, et al.. (2021). Online Microgrid Energy Management Based on Safe Deep Reinforcement Learning. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 1–8. 9 indexed citations
14.
Li, Hepeng, Zhiqiang Wan, & Haibo He. (2020). A Deep Reinforcement Learning Based Approach for Home Energy Management System. Journal of Media Literacy Education. 1–5. 18 indexed citations
15.
Wan, Zhiqiang, et al.. (2020). One-Shot Unsupervised Domain Adaptation for Object Detection. Journal of Media Literacy Education. 1–8. 5 indexed citations
16.
Li, Hepeng, Zhiqiang Wan, & Haibo He. (2020). Real-Time Residential Demand Response. IEEE Transactions on Smart Grid. 11(5). 4144–4154. 148 indexed citations
17.
Li, Hepeng, Zhiqiang Wan, & Haibo He. (2019). Constrained EV Charging Scheduling Based on Safe Deep Reinforcement Learning. IEEE Transactions on Smart Grid. 11(3). 2427–2439. 292 indexed citations
18.
Xin, Bin, Hepeng Li, & Ling Wang. (2018). ICB-MOEA/D: An Interactive Classification-Based Multi-Objective Optimization Algorithm. 2500–2505. 3 indexed citations
19.
Wan, Zhiqiang, Hepeng Li, Haibo He, & Danil Prokhorov. (2018). A Data-Driven Approach for Real-Time Residential EV Charging Management. Journal of Media Literacy Education. 1–5. 15 indexed citations
20.
Wan, Zhiqiang, Hepeng Li, Haibo He, & Danil Prokhorov. (2018). Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning. IEEE Transactions on Smart Grid. 10(5). 5246–5257. 403 indexed citations breakdown →

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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