World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
17787
World Ranking
4457
National Ranking
2085

Bowen Zhou 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 Bowen Zhou 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: 249 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: 559 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: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 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: 237 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Bowen Zhou 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 Bowen Zhou sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - IEEE Fellow For leadership in human language technologies

Overview

Bowen Zhou is a researcher affiliated with IBM in the United States, specializing in the field of Computer Science with a focused expertise in Artificial Intelligence.

Their body of work spans a broad range of subfields and topics, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Civil and Structural Engineering
  • Radiology, Nuclear Medicine and Imaging

Zhou's research covers several main topics, such as:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Multimodal Machine Learning Applications
  • Adversarial Robustness in Machine Learning
  • Speech Recognition and Synthesis
  • Domain Adaptation and Few-Shot Learning
  • Visual Attention and Saliency Detection

They have contributed to numerous scholarly articles published predominantly in venues including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Antioxidants
  • IEEE Robotics and Automation Letters

A selection of Zhou's recent papers includes:

  • Trustworthy AI: From Principles to Practices, 2022, ACM Computing Surveys
  • On the Convergence and Robustness of Adversarial Training, 2021, arXiv (Cornell University)
  • Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • SAM struggles in concealed scenes - empirical study on "Segment Anything", 2023, Science China Information Sciences
  • Aspect-Aware Multimodal Summarization for Chinese E-Commerce Products, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Zhou frequently collaborates with coauthors such as Xiaodong He, Youzheng Wu, Biqing Qi, Jianxing Liu, and Ligang Wu with multiple joint publications.

In recognition of contributions to human language technologies, Bowen Zhou was named an IEEE Fellow in 2020.

Best Publications

  • Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

    Ramesh Nallapati;Bowen Zhou;Cicero Nogueira dos santos;Caglar Gulcehre

  • A Structured Self-Attentive Sentence Embedding.

    Zhouhan Lin;Minwei Feng;Cicero Nogueira dos Santos;Mo Yu

  • SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents

    Ramesh Nallapati;Feifei Zhai;Bowen Zhou

  • ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs

    Wenpeng Yin;Hinrich Schütze;Bing Xiang;Bowen Zhou

  • Pointing the unknown words

    Caglar Gulcehre;Sungjin Ahn;Ramesh Nallapati;Bowen Zhou

  • Classifying Relations by Ranking with Convolutional Neural Networks

    Cicero dos Santos;Bing Xiang;Bowen Zhou

  • End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion

    Chao Shang;Yun Tang;Jing Huang;Jinbo Bi

  • LSTM-based Deep Learning Models for Non-factoid Answer Selection

    Ming Tan;Cicero dos Santos;Bing Xiang;Bowen Zhou

  • Trustworthy AI: From Principles to Practices.

    Bo Li;Peng Qi;Bo Liu;Shuai Di

  • Attentive Pooling Networks

    Cícero Nogueira dos Santos;Ming Tan;Bing Xiang;Bowen Zhou

  • Applying deep learning to answer selection: A study and an open task

    Minwei Feng;Bing Xiang;Michael R. Glass;Lidan Wang

  • Improved Neural Relation Detection for Knowledge Base Question Answering

    Mo Yu;Wenpeng Yin;Kazi Saidul Hasan;Cícero Nogueira dos Santos

  • Improved Representation Learning for Question Answer Matching

    Ming Tan;Cícero Nogueira dos Santos;Bing Xiang;Bowen Zhou

  • R 3 : Reinforced Ranker-Reader for Open-Domain Question Answering.

    Shuohang Wang;Mo Yu;Xiaoxiao Guo;Zhiguo Wang

  • Diverse Few-Shot Text Classification with Multiple Metrics

    Mo Yu;Xiaoxiao Guo;Jinfeng Yi;Shiyu Chang

  • Sequence-to-Sequence RNNs for Text Summarization

    Ramesh Nallapati;Bing Xiang;Bowen Zhou

  • Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation.

    Iulian Vlad Serban;Tim Klinger;Gerald Tesauro;Kartik Talamadupula

  • On the convergence and robustness of adversarial training

    Yisen Wang;Xingjun Ma;James Bailey;Jinfeng Yi

  • mCloud: A Context-Aware Offloading Framework for Heterogeneous Mobile Cloud

    Bowen Zhou;Amir Vahid Dastjerdi;Rodrigo N. Calheiros;Satish Narayana Srirama

  • Simple Question Answering by Attentive Convolutional Neural Network

    Wenpeng Yin;Mo Yu;Bing Xiang;Bowen Zhou

Frequent Co-Authors

Bing Xiang
Bing Xiang Amazon (United States)
Mo Yu
Mo Yu IBM (United States)
Xiaodong He
Xiaodong He Chinese Academy of Sciences
Ramesh Nallapati
Ramesh Nallapati Amazon (United States)
Xiaoxiao Guo
Xiaoxiao Guo The University of Texas at Dallas
Liang Huang
Liang Huang Oregon State University
Shiyu Chang
Shiyu Chang University of California, Santa Barbara
Gerald Tesauro
Gerald Tesauro IBM (United States)
Yoshua Bengio
Yoshua Bengio University of Montreal
Ruhi Sarikaya
Ruhi Sarikaya Amazon (United States)

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