World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
10830
World Ranking
4124
National Ranking
552

Gang Pan 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 Gang Pan 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: 273 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Gang Pan 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 Gang Pan 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Gang Pan is affiliated with Zhejiang University in China and has a multidisciplinary research portfolio spanning computer science, engineering, and neuroscience. Their work encompasses numerous subfields, including electrical and electronic engineering, cognitive neuroscience, artificial intelligence, computer vision and pattern recognition, as well as cellular and molecular neuroscience.

Their research focuses on a range of main topics such as advanced memory and neural computing, neural dynamics and brain function, EEG and brain-computer interfaces, neuroscience and neural engineering, ferroelectric and negative capacitance devices, reinforcement learning in robotics, and neural networks and reservoir computing.

Gang Pan has authored multiple recent papers covering diverse subject matter across leading scientific venues:

  • Spiking Deep Residual Networks, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Distinct subnetworks of the thalamic reticular nucleus, 2020, Nature
  • Occurrences and Functions of Ly6Chi and Ly6Clo Macrophages in Health and Disease, 2022, Frontiers in Immunology
  • Hierarchical Core-Shell Co2N/CoP Embedded in N, P-doped Carbon Nanotubes as Efficient Oxygen Reduction Reaction Catalysts for Zn-air Batteries, 2022, Small
  • A toolbox for brain network construction and classification (BrainNetClass), 2020, Human Brain Mapping

They have collaborated frequently with several co-authors, including:

  • Shijian Li (38 publications)
  • Huajin Tang (36 publications)
  • Sha Zhao (31 publications)
  • Yueming Wang (20 publications)
  • De Ma (20 publications)

The scientist contributes regularly to multiple publication venues, with the highest number of outputs appearing in:

  • arXiv (Cornell University) - 63 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence - 16 publications
  • SSRN Electronic Journal - 11 publications
  • IEEE Transactions on Neural Networks and Learning Systems - 9 publications
  • IEEE Transactions on Cognitive and Developmental Systems - 6 publications

Their academic work also includes book publications, notably a title published by Springer Science+Business Media:

  • Spatial Data and Intelligence, 2021

Best Publications

  • Eyeblink-based Anti-Spoofing in Face Recognition from a Generic Webcamera

    Gang Pan;Lin Sun;Zhaohui Wu;Shihong Lao

  • Prediction of urban human mobility using large-scale taxi traces and its applications

    Xiaolong Li;Gang Pan;Zhaohui Wu;Guande Qi

  • Land-Use Classification Using Taxi GPS Traces

    Gang Pan;Guande Qi;Zhaohui Wu;Daqing Zhang

  • From taxi GPS traces to social and community dynamics: A survey

    Pablo Samuel Castro;Daqing Zhang;Chao Chen;Shijian Li

  • Gesture Recognition with a 3-D Accelerometer

    Jiahui Wu;Gang Pan;Daqing Zhang;Guande Qi

  • Trace analysis and mining for smart cities: issues, methods, and applications

    Gang Pan;Guande Qi;Wangsheng Zhang;Shijian Li

  • Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction

    Yuting Zhang;Kihyuk Sohn;Ruben Villegas;Gang Pan

  • Accelerometer-Based Gait Recognition by Sparse Representation of Signature Points With Clusters

    Yuting Zhang;Gang Pan;Kui Jia;Minlong Lu

  • Dynamic cluster-based over-demand prediction in bike sharing systems

    Longbiao Chen;Daqing Zhang;Leye Wang;Dingqi Yang

  • Liveness Detection for Face Recognition

    Gang Pan;Zhaohui Wu;Lin Sun

  • Understanding Taxi Service Strategies From Taxi GPS Traces

    Daqing Zhang;Lin Sun;Bin Li;Chao Chen

  • Spiking Deep Residual Networks.

    Yangfan Hu;Huajin Tang;Gang Pan

  • Measuring social functions of city regions from large-scale taxi behaviors

    Guande Qi;Xiaolong Li;Shijian Li;Gang Pan

  • Distinct subnetworks of the thalamic reticular nucleus.

    Yinqing Li;Yinqing Li;Violeta G. Lopez-Huerta;Violeta G. Lopez-Huerta;Violeta G. Lopez-Huerta;Xian Adiconis;Kirsten Levandowski;Kirsten Levandowski

  • Overfitting remedy by sparsifying regularization on fully-connected layers of CNNs

    Qi Xu;Ming Zhang;Zonghua Gu;Zonghua Gu;Gang Pan

  • TripPlanner: Personalized Trip Planning Leveraging Heterogeneous Crowdsourced Digital Footprints

    Chao Chen;Daqing Zhang;Bin Guo;Xiaojuan Ma

  • Blinking-based live face detection using conditional random fields

    Lin Sun;Gang Pan;Zhaohui Wu;Shihong Lao

  • Monocular camera-based face liveness detection by combining eyeblink and scene context

    Gang Pan;Lin Sun;Zhaohui Wu;Yueming Wang

  • Discovering different kinds of smartphone users through their application usage behaviors

    Sha Zhao;Julian Ramos;Jianrong Tao;Ziwen Jiang

  • Darwin: A neuromorphic hardware co-processor based on spiking neural networks

    De Ma;De Ma;Juncheng Shen;Zonghua Gu;Ming Zhang

  • Bike sharing station placement leveraging heterogeneous urban open data

    Longbiao Chen;Daqing Zhang;Gang Pan;Xiaojuan Ma

  • 3D Face Recognition using Mapped Depth Images

    Gang Pan;Shi Han;Zhaohui Wu;Yueming Wang

Frequent Co-Authors

Zhaohui Wu
Zhaohui Wu Zhejiang University
Daqing Zhang
Daqing Zhang Peking University
Hua Lu
Hua Lu Aalborg University
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Anind K. Dey
Anind K. Dey University of Washington
Zonghua Gu
Zonghua Gu Hofstra University
Dinggang Shen
Dinggang Shen ShanghaiTech University
Longbing Cao
Longbing Cao University of Technology Sydney
Han Zhang
Han Zhang ShanghaiTech University
Leye Wang
Leye Wang Peking University

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