Zhaoran Wang

3.5k total citations
121 papers, 1.3k citations indexed

About

Zhaoran Wang is a scholar working on Artificial Intelligence, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Zhaoran Wang has authored 121 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 25 papers in Statistics and Probability and 17 papers in Management Science and Operations Research. Recurrent topics in Zhaoran Wang's work include Reinforcement Learning in Robotics (19 papers), Statistical Methods and Inference (13 papers) and Advanced Bandit Algorithms Research (10 papers). Zhaoran Wang is often cited by papers focused on Reinforcement Learning in Robotics (19 papers), Statistical Methods and Inference (13 papers) and Advanced Bandit Algorithms Research (10 papers). Zhaoran Wang collaborates with scholars based in United States, China and Hong Kong. Zhaoran Wang's co-authors include David M. Blei, Zhuoran Yang, Yuchen Xie, Huiguang He, José R. Zubizarreta, Xuelin Ma, Shuang Qiu, Laurent Charlin, Dawen Liang and Mingyi Hong and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Management Science.

In The Last Decade

Zhaoran Wang

106 papers receiving 1.2k citations

Peers

Zhaoran Wang

MSOR

CNC

Shang‐Ming Zhou United Kingdom

Kenneth W. Bauer United States

Claus Weihs Germany

Laura E. Brown United States

Harry Zhang United States

Fuyuan Xiao China

Yuan Qi China

Debo Cheng China

Alan Jović Croatia

Bernadette Bouchon‐Meunier France

Shang‐Ming Zhou United Kingdom

Zhaoran Wang

803 ×1.6

220 ×1.1

267 ×1.7

483 ×3.4

MSOR

67 ×0.5

CNC

Citations per year, relative to Zhaoran Wang Zhaoran Wang (= 1×) peers Shang‐Ming Zhou

Countries citing papers authored by Zhaoran Wang

Since Specialization

Citations

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

Fields of papers citing papers by Zhaoran Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaoran Wang

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

Yang, Zhuoran, et al.. (2025). Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information. Management Science. 72(1). 646–666.

Krauth, Karl, Zhaoran Wang, & Michael I. Jordan. (2025). Breaking Feedback Loops in Recommender Systems with Causal Inference. 4(1). 1–20. 1 indexed citations

Liu, Fang, Shuai Hu, Zhaoran Wang, et al.. (2025). Analysis of the degradation characteristics and causes of the HTS insert magnet after quenching in the 32.4T test. Superconductor Science and Technology. 38(3). 35001–35001. 2 indexed citations

Liu, Shujuan, et al.. (2025). Advancing Object-Goal Navigation through LLM-enhanced Object Affinities Transfer. 18458–18465.

Wang, Zhaoran, et al.. (2025). Addressing discretization-induced bias in demographic prediction. PNAS Nexus. 4(2). pgaf027–pgaf027.

Wang, Zhaoran, et al.. (2024). Porous-suspended graphite carbon doped TiO2 improves the band structure of photocatalysts to enhance photocatalytic degradation of tetracycline in water. Water Science & Technology. 90(7). 2186–2200.

Wang, Zhaoran, et al.. (2023). Probabilistic consistency of stochastic multiplicative comparison matrices based on Monte Carlo simulation. Information Sciences. 656. 119896–119896. 1 indexed citations

Zhu, Banghua, Stephen Bates, Zhuoran Yang, et al.. (2023). The Sample Complexity of Online Contract Design. 1188–1188. 5 indexed citations

Wang, Zhaoran, et al.. (2023). The mechanism of China's renewable energy utilization impact on carbon emission intensity: Evidence from the perspective of intermediary transmission. Journal of Environmental Management. 350. 119652–119652. 15 indexed citations

10.

Deng, Zhi‐Hong, Lingxiao Wang, Zhuoran Yang, et al.. (2023). False Correlation Reduction for Offline Reinforcement Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(2). 1199–1211. 3 indexed citations

11.

Bai, Chenjia, et al.. (2021). Addressing Hindsight Bias in Multigoal Reinforcement Learning. IEEE Transactions on Cybernetics. 53(1). 392–405. 11 indexed citations

12.

Yang, Zhuoran, et al.. (2021). Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL. Neural Information Processing Systems. 34. 2 indexed citations

13.

Wang, Zhaoran, et al.. (2020). Carleson measure characterizations of the Campanato type space associated with Schrödinger operators on stratified Lie groups. Forum Mathematicum. 32(5). 1337–1373. 7 indexed citations

14.

Yang, Zhuoran, et al.. (2020). Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games. arXiv (Cornell University). 7 indexed citations

15.

Yang, Zhuoran, et al.. (2020). Provably efficient neural GTD algorithm for off-policy learning. neural information processing systems. 1 indexed citations

16.

Cai, Qi, et al.. (2020). Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory.. neural information processing systems. 33. 19680–19692. 1 indexed citations

17.

Yang, Zhuoran, et al.. (2019). High-dimensional Varying Index Coefficient Models via Stein's Identity. Journal of Machine Learning Research. 20(152). 1–44. 3 indexed citations

18.

Wei, Xiaohan, Zhuoran Yang, & Zhaoran Wang. (2019). On the statistical rate of nonlinear recovery in generative models with heavy-tailed data. International Conference on Machine Learning. 6697–6706. 8 indexed citations

19.

Wu, Bin, et al.. (2017). Hybrid simulation of structural systems with online updating of concrete constitutive law parameters by unscented Kalman filter. Structural Control and Health Monitoring. 25(2). e2069–e2069. 14 indexed citations

20.

Yang, Zhuoran, Krishnakumar Balasubramanian, Zhaoran Wang, & Han Liu. (2017). Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein’s Lemma. Neural Information Processing Systems. 30. 6097–6106. 7 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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