Kaiqing Zhang

3.9k total citations
86 papers, 1.2k citations indexed

About

Kaiqing Zhang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Kaiqing Zhang has authored 86 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 31 papers in Electrical and Electronic Engineering and 17 papers in Computer Networks and Communications. Recurrent topics in Kaiqing Zhang's work include Reinforcement Learning in Robotics (27 papers), Adaptive Dynamic Programming Control (15 papers) and Distributed Control Multi-Agent Systems (10 papers). Kaiqing Zhang is often cited by papers focused on Reinforcement Learning in Robotics (27 papers), Adaptive Dynamic Programming Control (15 papers) and Distributed Control Multi-Agent Systems (10 papers). Kaiqing Zhang collaborates with scholars based in United States, China and Hong Kong. Kaiqing Zhang's co-authors include Tamer Başar, Zhuoran Yang, Hao Zhu, Tianyi Chen, Feifei Gao, Alec Koppel, Han Liu, Hao Zhu, Tong Zhang and Yi Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and NeuroImage.

In The Last Decade

Kaiqing Zhang

79 papers receiving 1.1k citations

Peers

Kaiqing Zhang

EEE

CNC

CSE

CTM

Vincent François-Lavet Netherlands

Hongmin Li China

Cheng-Hung Chen Taiwan

Audrūnas Gruslys United Kingdom

Yong Ren China

Hao Xing China

Guillaume J. Laurent France

Alan Liu Taiwan

Janardhan Rao Doppa United States

Vincent François-Lavet Netherlands

Kaiqing Zhang

384 ×0.9

EEE

434 ×1.2

265 ×1.0

CNC

296 ×1.4

CSE

65 ×0.4

CTM

Citations per year, relative to Kaiqing Zhang Kaiqing Zhang (= 1×) peers Vincent François-Lavet

Countries citing papers authored by Kaiqing Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Kaiqing Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiqing Zhang

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

Liu, Yixuan, et al.. (2025). Progress of the Hard X-Ray Self-Seeding System at the SHINE. Synchrotron Radiation News. 38(2). 30–34. 2 indexed citations

Gao, Y., Wenhao Wang, Guanlin Wang, et al.. (2025). Inhalable nanoparticle-based delivery systems for the treatment of pulmonary infections: Status quo and barrier-overcoming strategies. Drug Delivery. 32(1). 2544683–2544683. 1 indexed citations

Liang, Xuemei, Sheng‐Wei Luo, Zhigao Liu, et al.. (2025). Unsupervised machine learning analysis of optical coherence tomography radiomics features for predicting treatment outcomes in diabetic macular edema. Scientific Reports. 15(1). 13389–13389. 1 indexed citations

Tahir, Muhammad, Fengying Gong, Liang He, et al.. (2025). Advances in ZIF-8 variants: Synthesis, design, and applications in gas sensing. Coordination Chemistry Reviews. 539. 216733–216733. 8 indexed citations

Zhang, Kaiqing, Yue Zhou, Guanlin Wang, et al.. (2025). Pulmonary mRNA delivery systems for the treatment of respiratory diseases: Current advances and challenges. Chinese Chemical Letters. 111887–111887.

Zhang, Kaiqing, et al.. (2024). Two-Timescale Q-Learning with Function Approximation in Zero-Sum Stochastic Games. 378–378. 1 indexed citations

Zhang, Kaiqing, et al.. (2023). Decentralized Learning of Finite-Memory Policies in Dec-POMDPs. IFAC-PapersOnLine. 56(2). 2601–2607.

Yin, Kang, et al.. (2023). A strong-field THz light source based on coherent transition radiation. Frontiers in Physics. 11. 2 indexed citations

Zhang, Kaiqing, et al.. (2021). Reinforcement Learning for Cost-Aware Markov Decision Processes. International Conference on Machine Learning. 9989–9999. 1 indexed citations

10.

Zhang, Kaiqing, Bin Hu, & Tamer Başar. (2020). On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems. Neural Information Processing Systems. 33. 22056–22068. 13 indexed citations

11.

Zhang, Kaiqing, et al.. (2020). Robust Multi-Agent Reinforcement Learning with Model Uncertainty. Neural Information Processing Systems. 33. 10571–10583. 19 indexed citations

12.

Ding, Dong-Sheng, Kaiqing Zhang, Tamer Başar, & Mihailo R. Jovanović. (2020). Natural policy gradient primal-dual method for constrained Markov decision processes. Neural Information Processing Systems. 33. 8378–8390. 41 indexed citations

13.

Zhang, Kaiqing, Zhuoran Yang, & Tamer Başar. (2019). Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games. Neural Information Processing Systems. 32. 11598–11610. 14 indexed citations

14.

Zhang, Kaiqing, Alec Koppel, Hao Zhu, & Tamer Başar. (2019). Convergence and Iteration Complexity of Policy Gradient Method for Infinite-horizon Reinforcement Learning. 7415–7422. 4 indexed citations

15.

Xu, Hanchen, Kaiqing Zhang, & Junbo Zhang. (2018). Optimal Joint Bidding and Pricing of Profit-Seeking Load Serving Entity. IEEE Transactions on Power Systems. 33(5). 5427–5436. 31 indexed citations

16.

Zhang, Kaiqing, Zhuoran Yang, Han Liu, Tong Zhang, & Tamer Başar. (2018). Fully decentralized multi-agent reinforcement learning with networked agents. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 80. 5872–5881. 64 indexed citations

17.

Zhang, Kaiqing, Zhuoran Yang, & Zhaoran Wang. (2018). Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding. International Conference on Artificial Intelligence and Statistics. 258–268. 3 indexed citations

18.

Yang, Zhuoran, Kaiqing Zhang, Mingyi Hong, & Tamer Başar. (2018). A Finite Sample Analysis of the Actor-Critic Algorithm. 2759–2764. 8 indexed citations

19.

Xu, Hanchen, Kaiqing Zhang, & Junbo Zhang. (2017). A Tri-level Model for Optimal Bidding and Pricing of Profit-seeking Load Serving Entity. arXiv (Cornell University). 1 indexed citations

20.

Zhang, Yingchen, Rui Yang, Kaiqing Zhang, Huaiguang Jiang, & Jun Jason Zhang. (2017). Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch. IEEE Intelligent Systems. 32(4). 59–63. 23 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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