Bo An
Impact in
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- Auction Theory and Applications
- Game Theory and Applications
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- Mobile Crowdsensing and Crowdsourcing
Papers in
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- Auction Theory and Applications 34
- Game Theory and Applications 33
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- Reinforcement Learning in Robotics 31
- Co-authors
- Lei Feng (17 shared papers)Milind Tambe (30 shared papers)Hongxin Wei (9 shared papers)Chunyan Miao (18 shared papers)Xiangyu Chen (1 shared paper)Victor Lesser (13 shared papers)Jiarui Gan (16 shared papers)Yanhai Xiong (6 shared papers)
- Journals
- IEEE Intelligent Systems (7 papers)Autonomous Agents and Multi-Agent Systems (5 papers)AI Magazine (4 papers)IEEE Transactions on Cybernetics (4 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Bo An
249 papers receiving 4.5k citations
Bo An's Hit Papers
Peers
Comparison fields: 5 of 158
- Management Science and Operations Research 830
- Computer Science Applications 331
- Artificial Intelligence 1.8k
- Transportation 295
- Information Systems 849
Countries citing papers authored by Bo An
This map shows the geographic impact of Bo An'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 Bo An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo An more than expected).
Fields of papers citing papers by Bo An
This network shows the impact of papers produced by Bo An. 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 Bo An. The network helps show where Bo An may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo An, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 275 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization Hit paper breakdown → | 2020 | 403 |
| 2 | 2017 | 192 | |
| 3 | 2017 | 169 | |
| 4 | 2012 | 166 | |
| 5 | 2010 | 142 | |
| 6 | 2016 | 115 | |
| 7 | 2018 | 110 | |
| 8 | 2020 | 95 | |
| 9 | 2019 | 87 | |
| 10 | 2011 | 75 | |
| 11 | 2022 | 68 | |
| 12 | 2016 | 68 | |
| 13 | 2018 | 68 | |
| 14 | 2013 | 59 | |
| 15 | 2019 | 51 | |
| 16 | 2019 | 51 | |
| 17 | 2014 | 49 | |
| 18 | 2021 | 47 | |
| 19 | 2018 | 46 | |
| 20 | 2011 | 45 |
About Bo An
Bo An is a scholar working on Management Science and Operations Research, Artificial Intelligence, Computer Networks and Communications, Information Systems and Civil and Structural Engineering, having authored 275 papers that have together received 4.6k indexed citations. Recurring topics across this work include Infrastructure Resilience and Vulnerability Analysis (40 papers), Auction Theory and Applications (34 papers), Game Theory and Applications (33 papers), Reinforcement Learning in Robotics (31 papers), Cloud Computing and Resource Management (17 papers), Mobile Crowdsensing and Crowdsourcing (16 papers), Network Security and Intrusion Detection (14 papers) and Game Theory and Voting Systems (14 papers). The work is most often cited by research in Management Science and Operations Research (830 citations), Computer Science Applications (331 citations), Artificial Intelligence (1.8k citations), Transportation (295 citations) and Information Systems (849 citations). Bo An has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Lei Feng, Milind Tambe, Hongxin Wei, Chunyan Miao, Xiangyu Chen, Victor Lesser, Jiarui Gan, Yanhai Xiong, Christopher D. Kiekintveld and Eric Shieh. Their work appears in journals such as IEEE Intelligent Systems, Autonomous Agents and Multi-Agent Systems, AI Magazine, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.
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.