Xiaowei Wu
Impact in
-
- Auction Theory and Applications
-
- Optimization and Search Problems
- Caching and Content Delivery
Papers in
-
- Auction Theory and Applications 12
- Game Theory and Applications 4
-
- Complexity and Algorithms in Graphs 13
- Co-authors
- Siqiang LuoT-H. Hubert ChanZhihao Gavin TangZhiyi HuangBo LiReynold ChengYixiang FangJiafeng Hu
In The Last Decade
Xiaowei Wu
43 papers receiving 376 citations
Peers
Comparison fields: 5 of 56
- Management Science and Operations Research 105
- Computer Networks and Communications 157
- Statistical and Nonlinear Physics 83
- Computer Science Applications 25
- Computational Theory and Mathematics 71
Countries citing papers authored by Xiaowei Wu
This map shows the geographic impact of Xiaowei Wu'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 Xiaowei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Wu more than expected).
Fields of papers citing papers by Xiaowei Wu
This network shows the impact of papers produced by Xiaowei Wu. 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 Xiaowei Wu. The network helps show where Xiaowei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowei Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 9 | |
| 14 | 2019 | 6 | |
| 15 | 2018 | 2 | |
| 16 | A framework for recommending relevant and diverse items | 2016 | 27 |
| 17 | 2016 | 4 | |
| 18 | 2016 | 10 | |
| 19 | 2010 | 5 | |
| 20 | 2010 | 2 |
About Xiaowei Wu
Xiaowei Wu is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics, Computer Networks and Communications, Artificial Intelligence and Economics and Econometrics, having authored 53 papers that have together received 381 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (13 papers), Optimization and Search Problems (13 papers), Auction Theory and Applications (12 papers), Game Theory and Voting Systems (10 papers), Advanced Graph Neural Networks (5 papers), Caching and Content Delivery (5 papers), Game Theory and Applications (4 papers) and Infrastructure Resilience and Vulnerability Analysis (4 papers). The work is most often cited by research in Management Science and Operations Research (105 citations), Computer Networks and Communications (157 citations), Statistical and Nonlinear Physics (83 citations), Computer Science Applications (25 citations) and Computational Theory and Mathematics (71 citations). Xiaowei Wu has collaborated with scholars based in Hong Kong, China and Macao. Frequent co-authors include Siqiang Luo, T-H. Hubert Chan, Zhihao Gavin Tang, Zhiyi Huang, Bo Li, Reynold Cheng, Yixiang Fang, Jiafeng Hu, Shuguang Hu and Haris Aziz. Their work appears in journals such as Artificial Intelligence, Theoretical Computer Science, SIAM Journal on Computing, Journal of the ACM and ACM Transactions on Algorithms.
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.