World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
7181
World Ranking
7633
National Ranking
100

Bo An publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Bo An sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 250 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 560 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 282 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Bo An D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Bo An sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Bo An is affiliated with Nanyang Technological University in Singapore and has contributed to research primarily in the field of Computer Science. Their work spans multiple subfields, including Artificial Intelligence, Management Science and Operations Research, Information Systems, Economics and Econometrics, and Computer Networks and Communications.

The scientist's research topics focus on various advanced areas such as:

  • Reinforcement Learning in Robotics
  • Machine Learning and Data Classification
  • Stock Market Forecasting Methods
  • Game Theory and Applications
  • Advanced Bandit Algorithms Research
  • Machine Learning and Algorithms
  • Artificial Intelligence in Games

Bo An has published extensively, with prominent publications appearing in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • SSRN Electronic Journal
  • Autonomous Agents and Multi-Agent Systems
  • IEEE Transactions on Neural Networks and Learning Systems

Selected recent papers include:

  • "Anoikis-Associated Lung Cancer Metastasis: Mechanisms and Therapies" (2022) published in Cancers
  • "Mitigating Neural Network Overconfidence with Logit Normalization" (2022) published in arXiv (Cornell University)
  • "Combating noisy labels by agreement: A joint training method with co-regularization" (2020) published in arXiv (Cornell University)
  • "Personalized Adaptive Meta Learning for Cold-start User Preference Prediction" (2021) published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Reinforcement Learning for Quantitative Trading" (2023) published in ACM Transactions on Intelligent Systems and Technology

Bo An has collaborated frequently with several co-authors, including Xinrun Wang, Hongxin Wei, Lei Feng, Youzhi Zhang, and Rundong Wang. These collaborations have contributed to their wide range of published works and breadth of research interests.

In addition to journal and conference papers, Bo An has contributed to book publications, including a title published by Springer Science+Business Media:

  • "Intelligent Information Processing XI" (2022)

Best Publications

  • Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization

    Hongxin Wei;Lei Feng;Xiangyu Chen;Bo An

  • PROTECT: a deployed game theoretic system to protect the ports of the United States

    Eric Shieh;Bo An;Rong Yang;Milind Tambe

  • Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework

    Yanhai Xiong;Jiarui Gan;Bo An;Chunyan Miao

  • Automated negotiation with decommitment for dynamic resource allocation in cloud computing

    Bo An;Victor Lesser;David Irwin;Michael Zink

  • POI2Vec: Geographical Latent Representation for Predicting Future Visitors

    Shanshan Feng;Gao Cong;Bo An;Yeow Meng Chee

  • Deploying PAWS: field optimization of the protection assistant for wildlife security

    Fei Fang;Thanh H. Nguyen;Rob Pickles;Wai Y. Lam

  • Stackelberg security games: Looking beyond a decade of success

    Arunesh Sinha;Fei Fang;Bo An;Christopher Kiekintveld

  • Can Cross Entropy Loss Be Robust to Label Noise

    Lei Feng;Senlin Shu;Zhuoyi Lin;Fengmao Lv

  • Partial Label Learning with Self-Guided Retraining

    Lei Feng;Bo An

  • GUARDS and PROTECT: next generation applications of security games

    Bo An;James Pita;Eric Shieh;Milind Tambe

  • Strategic agents for multi-resource negotiation

    Bo An;Victor Lesser;Kwang Mong Sim

  • A Deployed Quantal Response-Based Patrol Planning System for the U.S. Coast Guard

    Bo An;Fernando Ordóñez;Milind Tambe;Eric Shieh

  • Multiagent Reinforcement Learning With Unshared Value Functions

    Yujing Hu;Yang Gao;Bo An

  • Accurate Text-Enhanced Knowledge Graph Representation Learning

    Unknown

  • Challenges and Opportunities for Trust Management in Crowdsourcing

    Han Yu;Zhiqi Shen;Chunyan Miao;Bo An

  • Leveraging Latent Label Distributions for Partial Label Learning.

    Lei Feng;Bo An

  • Security games with limited surveillance

    Bo An;David Kempe;Christopher Kiekintveld;Eric Shieh

  • Refinement of strong stackelberg equilibria in security games

    Bo An;Milind Tambe;Fernando Ordonez;Eric Shieh

  • Computing solutions in infinite-horizon discounted adversarial patrolling games

    Yevgeniy Vorobeychik;Bo An;Milind Tambe;Satinder Singh

  • Toward Efficient Team Formation for Crowdsourcing in Noncooperative Social Networks

    Wanyuan Wang;Jiuchuan Jiang;Bo An;Yichuan Jiang

  • Provably Consistent Partial-Label Learning

    Lei Feng;Jiaqi Lv;Bo Han;Miao Xu

  • Measuring the Distance Between Finite Markov Decision Processes

    Jinhua Song;Yang Gao;Hao Wang;Bo An

Frequent Co-Authors

Milind Tambe
Milind Tambe Harvard University
Chunyan Miao
Chunyan Miao Nanyang Technological University
Victor Lesser
Victor Lesser University of Massachusetts Amherst
Zhiqi Shen
Zhiqi Shen Nanyang Technological University
Yevgeniy Vorobeychik
Yevgeniy Vorobeychik Washington University in St. Louis
Christopher Kiekintveld
Christopher Kiekintveld The University of Texas at El Paso
Tao Qin
Tao Qin Microsoft (United States)
Han Yu
Han Yu Nanyang Technological University
Yang Gao
Yang Gao Google (United Kingdom)

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