W. Sun

10.2k total citations
10 papers, 36 citations indexed

About

W. Sun is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, W. Sun has authored 10 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 1 paper in Computer Networks and Communications. Recurrent topics in W. Sun's work include Advanced Bandit Algorithms Research (7 papers), Machine Learning and Algorithms (5 papers) and Reinforcement Learning in Robotics (3 papers). W. Sun is often cited by papers focused on Advanced Bandit Algorithms Research (7 papers), Machine Learning and Algorithms (5 papers) and Reinforcement Learning in Robotics (3 papers). W. Sun collaborates with scholars based in United States and United Kingdom. W. Sun's co-authors include Ashish Kapoor, Debadeepta Dey, J. Andrew Bagnell, Jonathan Chang, Yiwei Bai, Arun Venkatraman, Rahul Kidambi, Thorsten Joachims, Lequn Wang and Masatoshi Uehara and has published in prestigious journals such as Mathematics of Operations Research, Statistical Science and arXiv (Cornell University).

In The Last Decade

W. Sun

9 papers receiving 33 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
W. Sun United States	4	23	18	7	6	5	10	36
Chen-Yu Wei United States	5	24 1.0×	21 1.2×	10 1.4×	2 0.3×	5 1.0×	15	46
Pierre Ménard France	4	21 0.9×	24 1.3×	15 2.1×	3 0.5×	2 0.4×	8	47
Giorgio Patrini Australia	4	30 1.3×	10 0.6×	4 0.6×	2 0.3×	5 1.0×	7	50
Nathaniel Korda France	4	48 2.1×	40 2.2×	15 2.1×	2 0.3×	3 0.6×	6	57
Aldo Pacchiano United States	4	53 2.3×	10 0.6×	3 0.4×	5 0.8×	2 0.4×	19	66
Kumar Kshitij Patel United States	4	54 2.3×	14 0.8×	21 3.0×	7 1.2×		4	63
Rahul Kidambi United States	5	31 1.3×	4 0.2×	4 0.6×	13 2.2×	2 0.4×	12	40
Pierre‐Luc Bacon Canada	5	31 1.3×	10 0.6×	2 0.3×	1 0.2×	6 1.2×	11	45
Victor Gabillon France	4	22 1.0×	19 1.1×	13 1.9×			5	40
Chicheng Zhang United States	5	66 2.9×	13 0.7×	4 0.6×	1 0.2×	2 0.4×	16	82

Countries citing papers authored by W. Sun

Since Specialization

Citations

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

Fields of papers citing papers by W. Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Sun

This figure shows the co-authorship network connecting the top 25 collaborators of W. Sun. A scholar is included among the top collaborators of W. 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 W. Sun. W. Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Sun, W., et al.. (2025). The Central Role of the Loss Function in Reinforcement Learning. Statistical Science. 40(4).

2.

Lykouris, Thodoris, Max Simchowitz, Aleksandrs Slivkins, & W. Sun. (2024). Corruption-Robust Exploration in Episodic Reinforcement Learning. Mathematics of Operations Research. 50(2). 1277–1304. 1 indexed citations

3.

Chang, Jonathan, et al.. (2021). Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage. arXiv (Cornell University). 34. 3 indexed citations

4.

Wang, Lequn, Yiwei Bai, W. Sun, & Thorsten Joachims. (2021). Fairness of Exposure in Stochastic Bandits. International Conference on Machine Learning. 10686–10696. 3 indexed citations

5.

Sun, W., et al.. (2021). PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration. arXiv (Cornell University). 9801–9811. 3 indexed citations

6.

Kakade, Sham M., et al.. (2020). Information Theoretic Regret Bounds for Online Nonlinear Control.. arXiv (Cornell University). 33. 15312–15325. 1 indexed citations

7.

Sun, W. & J. Andrew Bagnell. (2018). Online Bellman Residual and Temporal Difference Algorithms with Predictive Error Guarantees. Figshare. 2016. 4213–4217. 2 indexed citations

8.

Sun, W. & J. Andrew Bagnell. (2018). Online Bellman Residual Algorithms with Predictive Error Guarantees. Figshare. 2015. 852–861. 2 indexed citations

9.

Sun, W., Debadeepta Dey, & Ashish Kapoor. (2017). Safety-Aware Algorithms for Adversarial Contextual Bandit.. International Conference on Machine Learning. 3280–3288. 17 indexed citations

10.

Venkatraman, Arun, W. Sun, Martial Hebert, J. Andrew Bagnell, & Byron Boots. (2016). Online Instrumental Variable Regression with Applications to Online Linear System Identification. Proceedings of the AAAI Conference on Artificial Intelligence. 30(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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