Bo An
Impact in
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- Mobile Crowdsensing and Crowdsourcing
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- Auction Theory and Applications
Papers in
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- Reinforcement Learning in Robotics 30
- Machine Learning and Data Classification 14
- Artificial Intelligence in Games 13
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- Game Theory and Applications 29
- Auction Theory and Applications 28
- Co-authors
- Lei Feng (15 shared papers)Milind Tambe (23 shared papers)Hongxin Wei (9 shared papers)Chunyan Miao (14 shared papers)Xiangyu Chen (1 shared paper)Jiarui Gan (13 shared papers)Victor Lesser (12 shared papers)Yanhai Xiong (5 shared papers)
- Journals
- IEEE Intelligent Systems (6 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
227 papers receiving 3.7k citations
Bo An's Hit Papers
Peers
Comparison fields: 5 of 148
- Computer Science Applications 302
- Management Science and Operations Research 667
- Artificial Intelligence 1.4k
- Transportation 294
- Information Systems 703
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 245 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 | 340 |
| 2 | 2017 | 174 | |
| 3 | 2017 | 155 | |
| 4 | 2012 | 129 | |
| 5 | 2010 | 110 | |
| 6 | 2018 | 84 | |
| 7 | 2020 | 76 | |
| 8 | 2019 | 70 | |
| 9 | 2016 | 67 | |
| 10 | 2016 | 64 | |
| 11 | 2018 | 57 | |
| 12 | 2022 | 55 | |
| 13 | 2011 | 49 | |
| 14 | 2019 | 47 | |
| 15 | 2019 | 46 | |
| 16 | 2014 | 44 | |
| 17 | 2013 | 42 | |
| 18 | Optimal electric vehicle charging station placement | 2015 | 41 |
| 19 | 2018 | 41 | |
| 20 | 2021 | 41 |
About Bo An
Bo An is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computer Networks and Communications, Information Systems and Civil and Structural Engineering, having authored 245 papers that have together received 3.8k indexed citations. Recurring topics across this work include Infrastructure Resilience and Vulnerability Analysis (32 papers), Reinforcement Learning in Robotics (30 papers), Game Theory and Applications (29 papers), Auction Theory and Applications (28 papers), Cloud Computing and Resource Management (16 papers), Mobile Crowdsensing and Crowdsourcing (16 papers), Machine Learning and Data Classification (14 papers) and Artificial Intelligence in Games (13 papers). The work is most often cited by research in Computer Science Applications (302 citations), Management Science and Operations Research (667 citations), Artificial Intelligence (1.4k citations), Transportation (294 citations) and Information Systems (703 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, Jiarui Gan, Victor Lesser, Yanhai Xiong, Yichuan Jiang and Yang Gao. 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.