World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
10255
World Ranking
6770
National Ranking
906

Hu Han 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 Hu Han 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: 203 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Hu Han 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 Hu Han 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Hu Han is affiliated with the Chinese Academy of Sciences in China and works primarily in the field of computer science, with a focus on subfields such as computer vision and pattern recognition, artificial intelligence, biomedical engineering, radiology, nuclear medicine and imaging, and computer networks and communications.

Their research topics cover a range of areas including multimodal machine learning applications, domain adaptation and few-shot learning, face recognition and analysis, generative adversarial networks and image synthesis, advanced neural network applications, COVID-19 diagnosis using AI, and advanced image and video retrieval techniques.

Some of Hu Han's recent papers include the following:

  • Reducing the uncertainty in estimating soil microbial-derived carbon storage, 2024, Proceedings of the National Academy of Sciences
  • Deep learning to segment pelvic bones: large-scale CT datasets and baseline models, 2021, International Journal of Computer Assisted Radiology and Surgery
  • Aligning Pretraining for Detection via Object-Level Contrastive Learning, 2021, arXiv (Cornell University)
  • Unsupervised Adversarial Domain Adaptation for Cross-Domain Face Presentation Attack Detection, 2020, IEEE Transactions on Information Forensics and Security
  • High-Resolution Chest X-Ray Bone Suppression Using Unpaired CT Structural Priors, 2020, IEEE Transactions on Medical Imaging

Hu Han has frequently published in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Medical Imaging
  • Physical review. A/Physical review, A
  • IEEE Transactions on Mobile Computing

Frequent co-authors collaborating with Hu Han include:

  • Shiguang Shan
  • S. Kevin Zhou
  • Xilin Chen
  • Fangyun Wei
  • Zheng Zhang

Best Publications

  • Face Spoof Detection With Image Distortion Analysis

    Di Wen;Hu Han;Anil K. Jain

  • Secure Face Unlock: Spoof Detection on Smartphones

    Keyurkumar Patel;Hu Han;Anil K. Jain

  • Automated Systolic Array Architecture Synthesis for High Throughput CNN Inference on FPGAs

    Xuechao Wei;Cody Hao Yu;Peng Zhang;Youxiang Chen

  • Demographic Estimation from Face Images: Human vs. Machine Performance

    Hu Han;Charles Otto;Xiaoming Liu;Anil K. Jain

  • RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation

    Xuesong Niu;Shiguang Shan;Hu Han;Xilin Chen

  • SeqTrack: Sequence to Sequence Learning for Visual Object Tracking

    Unknown

  • Age estimation from face images: Human vs. machine performance

    Hu Han;Charles Otto;Anil K. Jain

  • Smooth Representation Clustering

    Han Hu;Zhouchen Lin;Jianjiang Feng;Jie Zhou

  • Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach

    Hu Han;Anil K. Jain;Fang Wang;Shiguang Shan

  • Unconstrained Face Recognition: Identifying a Person of Interest From a Media Collection

    Lacey Best-Rowden;Hu Han;Charles Otto;Brendan F. Klare

  • Matching Composite Sketches to Face Photos: A Component-Based Approach

    Hu Han;B. F. Klare;K. Bonnen;A. K. Jain

  • A comparative study on illumination preprocessing in face recognition

    Hu Han;Shiguang Shan;Xilin Chen;Wen Gao

  • Mean-Variance Loss for Deep Age Estimation from a Face

    Hongyu Pan;Hu Han;Shiguang Shan;Xilin Chen

  • WordSup: Exploiting Word Annotations for Character Based Text Detection

    Han Hu;Chengquan Zhang;Yuxuan Luo;Yuzhuo Wang

  • Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning

    Guoqing Wang;Hu Han;Shiguang Shan;Xilin Chen

  • Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling

    Xuesong Niu;Zitong Yu;Hu Han;Xiaobai Li

  • Cross-Database Face Antispoofing with Robust Feature Representation

    Keyurkumar Patel;Hu Han;Anil K. Jain

  • VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-Constrained Face Video

    Xuesong Niu;Hu Han;Shiguang Shan;Xilin Chen

  • SynRhythm: Learning a Deep Heart Rate Estimator from General to Specific

    Xuesong Niu;Hu Han;Shiguang Shan;Xilin Chen

  • Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement

    Hao Lu;Hu Han;S. Kevin Zhou

  • AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation

    Xin Liu;Shaoxin Li;Meina Kan;Jie Zhang

  • Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection

    Xuesong Niu;Hu Han;Songfan Yang;Yan Huang

  • Continuous authentication of mobile user: Fusion of face image and inertial Measurement Unit data

    David Crouse;Hu Han;Deepak Chandra;Brandon Barbello

  • Live face video vs. spoof face video: Use of moiré patterns to detect replay video attacks

    Keyurkumar Patel;Hu Han;Anil. K. Jain;Greg Ott

Frequent Co-Authors

Shiguang Shan
Shiguang Shan Chinese Academy of Sciences
Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Anil K. Jain
Anil K. Jain Michigan State University
S. Kevin Zhou
S. Kevin Zhou University of Science and Technology of China
Wen Gao
Wen Gao Peking University
Guoying Zhao
Guoying Zhao University of Oulu
Shihong Lao
Shihong Lao SenseTime
Seong-Whan Lee
Seong-Whan Lee Korea University
François Brémond
François Brémond French Institute for Research in Computer Science and Automation - INRIA

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