Lequn Wang

433 total citations
8 papers, 226 citations indexed

About

Lequn Wang is a scholar working on Management Science and Operations Research, Artificial Intelligence and Information Systems. According to data from OpenAlex, Lequn Wang has authored 8 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 3 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Lequn Wang's work include Advanced Bandit Algorithms Research (4 papers), Machine Learning and Algorithms (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Lequn Wang is often cited by papers focused on Advanced Bandit Algorithms Research (4 papers), Machine Learning and Algorithms (2 papers) and Stochastic Gradient Optimization Techniques (2 papers). Lequn Wang collaborates with scholars based in United States, Sweden and Germany. Lequn Wang's co-authors include Vincent Chen, Yurong You, Kilian Q. Weinberger, Bharath Hariharan, Xu Zou, Gao Huang, Yan Wang, Thorsten Joachims, Yi Su and Michele Santacatterina and has published in prestigious journals such as AI Magazine, International Conference on Machine Learning and Fire Control and Command Control.

In The Last Decade

Lequn Wang

7 papers receiving 221 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lequn Wang United States 4 189 83 36 20 13 8 226
Amran Bhuiyan Canada 9 119 0.6× 39 0.5× 43 1.2× 3 0.1× 10 0.8× 21 187
Eran Swears United States 6 98 0.5× 13 0.2× 79 2.2× 5 0.3× 5 0.4× 8 127
Zhiyin Shao China 4 177 0.9× 57 0.7× 23 0.6× 13 0.7× 1 0.1× 4 199
Ryan Layne United Kingdom 4 292 1.5× 98 1.2× 46 1.3× 6 0.5× 4 294
Zijie Wang China 7 292 1.5× 40 0.5× 36 1.0× 28 1.4× 3 0.2× 10 331
Xuanchong Li United States 5 219 1.2× 48 0.6× 125 3.5× 2 0.1× 9 0.7× 9 251
Dan Kondratyuk United States 4 131 0.7× 22 0.3× 206 5.7× 3 0.1× 7 0.5× 4 290
Jessica Sena Brazil 4 61 0.3× 30 0.4× 49 1.4× 2 0.1× 2 0.2× 11 121

Countries citing papers authored by Lequn Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lequn Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lequn Wang

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

All Works

8 of 8 papers shown
1.
Wang, Lequn, et al.. (2024). Off-Policy Evaluation for Large Action Spaces via Policy Convolution. 3576–3585. 1 indexed citations
2.
Wang, Lequn & Thorsten Joachims. (2023). Uncertainty Quantification for Fairness in Two-Stage Recommender Systems. 940–948. 12 indexed citations
3.
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
4.
Joachims, Thorsten, Ben London, Yi Su, Adith Swaminathan, & Lequn Wang. (2021). Recommendations as treatments. AI Magazine. 42(3). 19–30. 7 indexed citations
5.
Su, Yi, Lequn Wang, Michele Santacatterina, & Thorsten Joachims. (2019). CAB: Continuous Adaptive Blending for Policy Evaluation and Learning. International Conference on Machine Learning. 6005–6014. 11 indexed citations
6.
Wang, Yan, Lequn Wang, Yurong You, et al.. (2018). Resource Aware Person Re-identification Across Multiple Resolutions. 8042–8051. 190 indexed citations
7.
Wang, Lequn, Qiantong Xu, Christopher De, & Thorsten Joachims. (2018). Cost-Sensitive Learning via Deep Policy ERM. 1 indexed citations
8.
Wang, Lequn. (2010). Optimizing and Sequencing of the Important Defended Targets in Air-defense Operation based on Interval-number. Fire Control and Command Control. 1 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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2026