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Pin-Yu Chen

D-Index & Metrics

Computer Science

D-Index
55
Citations
14137
World Ranking
4263
National Ranking
2010

Pin-Yu Chen 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 Pin-Yu Chen 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: 505 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Pin-Yu Chen 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 Pin-Yu Chen 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Pin-Yu Chen is affiliated with IBM in the United States. Their research contributions are primarily situated within the field of Computer Science, with a substantial focus on Artificial Intelligence. They have also engaged in interdisciplinary work covering subfields such as Computer Vision and Pattern Recognition, Molecular Biology, Signal Processing, and Radiology, Nuclear Medicine and Imaging.

Their recent work has explored several advanced topics including Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Privacy-Preserving Technologies in Data, Quantum Computing Algorithms and Architecture, and Stochastic Gradient Optimization Techniques.

Pin-Yu Chen has published extensively in a variety of venues, with frequent publications in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • bioRxiv (Cold Spring Harbor Laboratory)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Their recent papers include:

  • Vision Transformers Are Robust Learners (2022) - Proceedings of the AAAI Conference on Artificial Intelligence
  • Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples (2020) - Proceedings of the AAAI Conference on Artificial Intelligence
  • A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications (2020) - IEEE Signal Processing Magazine
  • Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States (2020) - Proceedings of the AAAI Conference on Artificial Intelligence
  • Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition (2020) - arXiv (Cornell University)

The scientist frequently collaborates with peers including Sijia Liu, Chao-Han Huck Yang, Payel Das, Tsung-Yi Ho, and Cho-Jui Hsieh.

Best Publications

  • ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models

    Pin-Yu Chen;Huan Zhang;Yash Sharma;Jinfeng Yi

  • ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models

    Pin-Yu Chen;Huan Zhang;Yash Sharma;Jinfeng Yi

  • EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

    Pin-Yu Chen;Yash Sharma;Huan Zhang;Jinfeng Yi

  • Efficient Neural Network Robustness Certification with General Activation Functions

    Huan Zhang;Tsui-Wei Weng;Pin-Yu Chen;Cho-Jui Hsieh

  • AutoZOOM: Autoencoder-Based Zeroth Order Optimization Method for Attacking Black-Box Neural Networks

    Chun-Chen Tu;Paishun Ting;Pin-Yu Chen;Sijia Liu

  • Is Robustness the Cost of Accuracy? – A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

    Dong Su;Huan Zhang;Hongge Chen;Jinfeng Yi

  • Topology attack and defense for graph neural networks: An optimization perspective

    Kaidi Xu;Hongge Chen;Sijia Liu;Pin Yu Chen

  • Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

    Tsui-Wei Weng;Huan Zhang;Pin-Yu Chen;Jinfeng Yi

  • Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations.

    Payel Das;Payel Das;Tom Sercu;Tom Sercu;Kahini Wadhawan;Inkit Padhi

  • One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

    Vijay Arya;Rachel K. E. Bellamy;Pin-Yu Chen;Amit Dhurandhar

  • Adversarial T-shirt! Evading Person Detectors in A Physical World

    Kaidi Xu;Gaoyuan Zhang;Sijia Liu;Quanfu Fan

  • Variational Quantum Circuits for Deep Reinforcement Learning

    Samuel Yen-Chi Chen;Chao-Han Huck Yang;Jun Qi;Pin-Yu Chen

  • Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach

    Minhao Cheng;Thong Le;Pin-Yu Chen;Jinfeng Yi

  • DBA: Distributed Backdoor Attacks against Federated Learning

    Chulin Xie;Keli Huang;Pin-Yu Chen;Bo Li

  • Smart attacks in smart grid communication networks

    Pin-Yu Chen;Shin-Ming Cheng;Kwang-Cheng Chen

  • Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples

    Minhao Cheng;Jinfeng Yi;Pin-Yu Chen;Huan Zhang

  • Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

    Amit Dhurandhar;Pin-Yu Chen;Ronny Luss;Chun-Chen Tu

  • Vision Transformers are Robust Learners

    Sayak Paul;Pin-Yu Chen

  • TrustLLM: Trustworthiness in Large Language Models

    Unknown

  • Efficient Neural Network Robustness Certification with General Activation Functions

    Huan Zhang;Tsui-Wei Weng;Pin-Yu Chen;Cho-Jui Hsieh

  • Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

    Chao-Han Huck Yang;Jun Qi;Samuel Yen-Chi Chen;Pin-Yu Chen

  • Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

    Tsui-Wei Weng;Huan Zhang;Pin-Yu Chen;Jinfeng Yi

  • A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications

    Sijia Liu;Pin-Yu Chen;Bhavya Kailkhura;Gaoyuan Zhang

  • Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

    Minhao Cheng;Thong Le;Pin-Yu Chen;Jinfeng Yi

  • On Modeling Malware Propagation in Generalized Social Networks

    Shin-Ming Cheng;Weng Chon Ao;Pin-Yu Chen;Kwang-Cheng Chen

  • Structured Adversarial Attack: Towards General Implementation and Better Interpretability

    Kaidi Xu;Sijia Liu;Pu Zhao;Pin-Yu Chen

  • Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases

    Ren Wang;Gaoyuan Zhang;Sijia Liu;Pin-Yu Chen

Frequent Co-Authors

Sijia Liu
Sijia Liu Michigan State University
Alfred O. Hero
Alfred O. Hero University of Michigan–Ann Arbor
Cho-Jui Hsieh
Cho-Jui Hsieh University of California, Los Angeles
Luca Daniel
Luca Daniel MIT
Huan Zhang
Huan Zhang University of California, Los Angeles
Jinfeng Yi
Jinfeng Yi IBM (United States)
Kwang-Cheng Chen
Kwang-Cheng Chen University of South Florida
Xiaoli Ma
Xiaoli Ma Georgia Institute of Technology
Aleksandra Mojsilovic
Aleksandra Mojsilovic IBM (United States)
Shiyu Chang
Shiyu Chang University of California, Santa Barbara

External Links

Personal website of Pin-Yu Chen Google Scholar page

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Best Scientists Citing Pin-Yu Chen

Cho-Jui Hsieh

Cho-Jui Hsieh

University of California, Los Angeles

Publications: 68

Huan Zhang

Huan Zhang

University of California, Los Angeles

Publications: 41

Sijia Liu

Sijia Liu

Michigan State University

Publications: 35

Jun Zhu

Jun Zhu

Tsinghua University

Publications: 26

Jinfeng Yi

Jinfeng Yi

IBM (United States)

Publications: 24

Kwang-Cheng Chen

Kwang-Cheng Chen

University of South Florida

Publications: 23

Martin Vechev

Martin Vechev

ETH Zurich

Publications: 21

Baoyuan Wu

Baoyuan Wu

Chinese University of Hong Kong, Shenzhen

Publications: 19

Yuval Elovici

Yuval Elovici

Ben-Gurion University of the Negev

Publications: 18

Shouling Ji

Shouling Ji

Zhejiang University

Publications: 18

Dawn Song

Dawn Song

University of California, Berkeley

Publications: 17

Matthias Hein

Matthias Hein

University of Tübingen

Publications: 17

Asaf Shabtai

Asaf Shabtai

Ben-Gurion University of the Negev

Publications: 15

Yanzhi Wang

Yanzhi Wang

Northeastern University

Publications: 14

Alan L. Yuille

Alan L. Yuille

Johns Hopkins University

Publications: 14

J. Zico Kolter

J. Zico Kolter

Carnegie Mellon University

Publications: 14

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