Bo An

6.9k total citations · 1 hit paper
245 papers, 3.8k citations indexed

About

Bo An is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Bo An has authored 245 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Artificial Intelligence, 65 papers in Management Science and Operations Research and 43 papers in Computer Networks and Communications. Recurrent topics in Bo An's work include Infrastructure Resilience and Vulnerability Analysis (32 papers), Reinforcement Learning in Robotics (30 papers) and Game Theory and Applications (29 papers). Bo An is often cited by papers focused on Infrastructure Resilience and Vulnerability Analysis (32 papers), Reinforcement Learning in Robotics (30 papers) and Game Theory and Applications (29 papers). Bo An collaborates with scholars based in Singapore, China and United States. Bo An's co-authors include Lei Feng, Milind Tambe, Hongxin Wei, Chunyan Miao, Xiangyu Chen, Jiarui Gan, Victor Lesser, Yanhai Xiong, Yichuan Jiang and Yang Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Bo An

227 papers receiving 3.7k citations

Hit Papers

Combating Noisy Labels by Agreement: A Joint Training Met... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization
    2020 340 citations Hongxin Wei, Lei Feng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo An Singapore 30 1.4k 703 677 667 460 245 3.8k
Kevin Leyton‐Brown Canada 32 3.1k 2.1× 671 1.0× 1.7k 2.5× 2.2k 3.2× 167 0.4× 124 6.9k
Jing Liu China 45 3.2k 2.2× 496 0.7× 1.1k 1.6× 492 0.7× 146 0.3× 369 6.9k
Enrique Alba Spain 47 4.1k 2.8× 1.2k 1.7× 1.8k 2.6× 509 0.8× 195 0.4× 303 8.8k
Andrea Roli Italy 27 1.7k 1.2× 269 0.4× 1.3k 1.9× 485 0.7× 121 0.3× 169 4.7k
Graham Kendall United Kingdom 48 3.0k 2.1× 477 0.7× 894 1.3× 2.2k 3.3× 97 0.2× 245 7.9k
Andrew Lim Singapore 52 911 0.6× 239 0.3× 798 1.2× 1.1k 1.6× 73 0.2× 322 8.9k
Haruna Chiroma Nigeria 33 1.2k 0.8× 841 1.2× 791 1.2× 249 0.4× 63 0.1× 132 3.6k
Marco Laumanns Switzerland 28 5.5k 3.8× 522 0.7× 564 0.8× 1.4k 2.0× 719 1.6× 76 11.0k
Silvano Martello Italy 44 985 0.7× 409 0.6× 2.5k 3.7× 681 1.0× 113 0.2× 164 10.0k
Vincenzo Loia Italy 41 2.9k 2.0× 1.7k 2.4× 1.3k 2.0× 1.1k 1.6× 80 0.2× 347 7.3k

Countries citing papers authored by Bo An

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bo An

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

All Works

20 of 20 papers shown
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Sun, Shuo, et al.. (2024). EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading. Proceedings of the AAAI Conference on Artificial Intelligence. 38(13). 14669–14676. 4 indexed citations
4.
An, Bo, et al.. (2024). Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning. Neural Networks. 178. 106544–106544.
5.
Feng, Lei, et al.. (2023). Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Transactions on Knowledge and Data Engineering. 35(11). 11599–11609. 1 indexed citations
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Wei, Hongxin, et al.. (2021). Open-set Label Noise Can Improve Robustness Against Inherent Label Noise. Neural Information Processing Systems. 34. 1 indexed citations
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Yu, Runsheng, et al.. (2020). Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. International Conference on Machine Learning. 1. 9908–9918. 3 indexed citations
9.
An, Bo, et al.. (2020). Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games. International Conference on Machine Learning. 1. 11033–11043. 4 indexed citations
10.
Guo, Qingyu, et al.. (2017). Stop Nuclear Smuggling Through Efficient Container Inspection. Adaptive Agents and Multi-Agents Systems. 669–677. 4 indexed citations
11.
An, Bo, et al.. (2016). Efficient resource allocation for protecting coral reef ecosystems. International Joint Conference on Artificial Intelligence. 531–537. 10 indexed citations
12.
Gan, Jiarui, Bo An, & Chunyan Miao. (2015). Optimizing Efficiency of Taxi Systems: Scaling-up and Handling Arbitrary Constraints. Adaptive Agents and Multi-Agents Systems. 523–531. 12 indexed citations
13.
Gan, Jiarui, Bo An, & Chunyan Miao. (2014). An efficient algorithm for taxi system optimization. Adaptive Agents and Multi-Agents Systems. 1465–1466. 1 indexed citations
14.
Yu, Han, Zhiqi Shen, Chunyan Miao, & Bo An. (2013). A reputation-aware decision-making approach for improving the efficiency of crowdsourcing systems. Adaptive Agents and Multi-Agents Systems. 1315–1316. 28 indexed citations
15.
An, Bo, David Kempe, Christopher Kiekintveld, et al.. (2012). Security Games with Limited Surveillance: An Initial Report. National Conference on Artificial Intelligence. 1 indexed citations
16.
Shieh, Eric, Bo An, Rong Yang, et al.. (2012). PROTECT: a deployed game theoretic system to protect the ports of the United States. Adaptive Agents and Multi-Agents Systems. 13–20. 129 indexed citations
17.
Tambe, Milind & Bo An. (2012). Game Theory for Security: A Real-World Challenge Problem for Multiagent Systems and Beyond.. National Conference on Artificial Intelligence. 2 indexed citations
18.
An, Bo, Manish Jain, Milind Tambe, & Christopher Kiekintveld. (2011). Mixed-initiative optimization in security games: A preliminary report. National Conference on Artificial Intelligence. 6 indexed citations
19.
An, Bo, Nicola Gatti, & Victor Lesser. (2010). Searching for pure strategy equilibria in bilateral bargaining with one-sided uncertainty. Adaptive Agents and Multi-Agents Systems. 1607–1608. 2 indexed citations
20.
An, Bo, Chunyan Miao, & Zhiqi Shen. (2007). Market based resource allocation with incomplete information. International Joint Conference on Artificial Intelligence. 1193–1198. 19 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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