World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
6117
World Ranking
7701
National Ranking
1017

Gongfa Li 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 Gongfa Li 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: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Gongfa Li 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 Gongfa Li 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: 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

Gongfa Li is affiliated with Wuhan University of Science and Technology in China. Their research primarily spans the broad field of Engineering, with a particular focus on Control and Systems Engineering, Mechanical Engineering, and Computer Vision and Pattern Recognition. Substantial work is also present in Electronic, Optical and Magnetic Materials as well as Aerospace Engineering.

Li's work covers a range of specialized topics within these fields, showing particular engagement with areas such as Metamaterials and Metasurfaces Applications, Advanced Antenna and Metasurface Technologies, and Plasmonic and Surface Plasmon Research. Additional research topics include Gear and Bearing Dynamics Analysis, Robot Manipulation and Learning, Hand Gesture Recognition Systems, and Machine Fault Diagnosis Techniques.

The scientist has published extensively, with notable papers including:

  • Image recognition of four rice leaf diseases based on deep learning and support vector machine, 2020, Computers and Electronics in Agriculture
  • A systematic review of digital twin about physical entities, virtual models, twin data, and applications, 2023, Advanced Engineering Informatics
  • Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning, 2021, Sensors
  • Multiplexed Anticounterfeiting Meta-image Displays with Single-Sized Nanostructures, 2020, Nano Letters
  • Semantic segmentation for multiscale target based on object recognition using the improved Faster-RCNN model, 2021, Future Generation Computer Systems

Frequent co-authors collaborating with Li include Du Jiang, Juntong Yun, Bo Tao, Guozhang Jiang, and Zao Yi.

Li's work often appears in established venues such as the International Journal of Wireless and Mobile Computing, where they have published the most, as well as Mechanism and Machine Theory, Optics Express, Concurrency and Computation Practice and Experience, and Transactions of the Institute of Measurement and Control.

Best Publications

  • Hand gesture recognition based on convolution neural network

    Gongfa Li;Heng Tang;Ying Sun;Jianyi Kong

  • Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning

    Jiang Hua;Liangcai Zeng;Gongfa Li;Zhaojie Ju

  • Intelligent Human-Computer Interaction Based on Surface EMG Gesture Recognition

    Jinxian Qi;Guozhang Jiang;Gongfa Li;Ying Sun

  • Semantic segmentation for multiscale target based on object recognition using the improved Faster-RCNN model

    Du Jiang;Gongfa Li;Chong Tan;Li Huang

  • Surface EMG hand gesture recognition system based on PCA and GRNN

    Jinxian Qi;Guozhang Jiang;Gongfa Li;Ying Sun

  • High Quality Factor, High Sensitivity Metamaterial Graphene-Perfect Absorber Based on Critical Coupling Theory and Impedance Matching.

    Chunlian Cen;Zeqiang Chen;Danyang Xu;Liying Jiang

  • Intelligent human computer interaction based on non redundant EMG signal

    Ying Sun;Chao Xu;Gongfa Li;Wanfen Xu

  • Gesture recognition based on skeletonization algorithm and CNN with ASL database

    Du Jiang;Gongfa Li;Ying Sun;Jianyi Kong

  • Grasping force prediction based on sEMG signals

    Ruyi Ma;Leilei Zhang;Gongfa Li;Du Jiang

  • Gesture recognition based on binocular vision

    Du Jiang;Zujia Zheng;Gongfa Li;Ying Sun

  • Manipulator grabbing position detection with information fusion of color image and depth image using deep learning

    Du Jiang;Gongfa Li;Ying Sun;Jiabing Hu

  • A novel feature extraction method for machine learning based on surface electromyography from healthy brain

    Gongfa Li;Jiahan Li;Zhaojie Ju;Ying Sun

  • Surface EMG data aggregation processing for intelligent prosthetic action recognition

    Chengcheng Li;Gongfa Li;Guozhang Jiang;Disi Chen

  • A multichannel surface EMG system for hand motion recognition

    Yinfeng Fang;Honghai Liu;Gongfa Li;Xiangyang Zhu

  • Human Lesion Detection Method Based on Image Information and Brain Signal

    Gongfa Li;Du Jiang;Yanling Zhou;Guozhang Jiang

  • A simulation-based study of dispatching rules in a dynamic job shop scheduling problem with batch release and extended technical precedence constraints

    Hegen Xiong;Huali Fan;Guozhang Jiang;Gongfa Li

  • Gesture Recognition Based on Kinect and sEMG Signal Fusion

    Ying Sun;Cuiqiao Li;Gongfa Li;Guozhang Jiang

  • Jointly network: a network based on CNN and RBM for gesture recognition

    Wentao Cheng;Ying Sun;Gongfa Li;Guozhang Jiang

  • Towards the sEMG hand: internet of things sensors and haptic feedback application

    Gongfa Li;Leilei Zhang;Ying Sun;Jianyi Kong

  • Gesture recognition based on an improved local sparse representation classification algorithm

    Yang He;Gongfa Li;Yajie Liao;Ying Sun

  • Gesture recognition based on surface electromyography‐feature image

    Yangwei Cheng;Gongfa Li;Mingchao Yu;Du Jiang

  • An Interactive Image Segmentation Method in Hand Gesture Recognition.

    Disi Chen;Gongfa Li;Ying Sun;Jianyi Kong

  • Research on gesture recognition of smart data fusion features in the IoT

    Chong Tan;Ying Sun;Gongfa Li;Guozhang Jiang

  • Dynamic Gesture Recognition in the Internet of Things

    Gongfa Li;Hao Wu;Guozhang Jiang;Shuang Xu

  • Optical Fiber-Based Sensing, Measuring, and Implementation Methods for Slope Deformation Monitoring: A Review

    Heng Wu;Yongxing Guo;Li Xiong;Wenlong Liu

  • A three-axis force fingertip sensor based on fiber Bragg grating

    Yongxing Guo;Jianyi Kong;Honghai Liu;Honghai Liu;Hegen Xiong

Frequent Co-Authors

Honghai Liu
Honghai Liu University of Portsmouth
Zhaojie Ju
Zhaojie Ju University of Portsmouth
Hui Yu
Hui Yu University of Portsmouth
Zao Yi
Zao Yi Southwest University of Science and Technology
Yougen Yi
Yougen Yi Central South University
Junyu Dong
Junyu Dong Ocean University of China
Hua Yang
Hua Yang Lanzhou University of Technology
Yongjian Tang
Yongjian Tang Southwest University of Science and Technology
Gunasekaran Manogaran
Gunasekaran Manogaran University of California, Davis
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design

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