World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
32699
World Ranking
1381
National Ranking
186

Yihong Gong 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 Yihong Gong 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: 268 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Yihong Gong 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 Yihong Gong 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: 75 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Yihong Gong is affiliated with Xi'an Jiaotong University in China. Their research spans multiple areas within computer science and engineering, with a particular focus on computer vision, artificial intelligence, and electrical and electronic engineering.

The scientist has published extensively in several fields, with 134 publications related to computer science and 44 related to engineering. Their work covers diverse subfields, including computer vision and pattern recognition, artificial intelligence, electrical and electronic engineering, radiology, nuclear medicine and imaging, and biomedical engineering.

Main topics addressed in their research include domain adaptation and few-shot learning, video surveillance and tracking methods, multimodal machine learning applications, anomaly detection techniques and applications, advanced neural network applications, machine learning and extreme learning machines (ELM), and the use of AI for COVID-19 diagnosis.

Yihong Gong has collaborated frequently with multiple coauthors, including:

  • Xing Wei
  • Xiaopeng Hong
  • Songlin Dong
  • Yuhang He
  • Zhiheng Ma

They have contributed papers to a variety of publication venues, with the most frequent being:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Image Processing

Notable recent papers authored by Yihong Gong include:

  • "Infrared-Visible Cross-Modal Person Re-Identification with an X Modality" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Few-Shot Class-Incremental Learning via Relation Knowledge Distillation" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment" (2020), published in IEEE Transactions on Image Processing
  • "Learning to Count via Unbalanced Optimal Transport" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Model Behavior Preserving for Class-Incremental Learning" (2022), published in IEEE Transactions on Neural Networks and Learning Systems

Best Publications

  • Locality-constrained Linear Coding for image classification

    Jinjun Wang;Jianchao Yang;Kai Yu;Fengjun Lv

  • Linear spatial pyramid matching using sparse coding for image classification

    Jianchao Yang;Kai Yu;Yihong Gong;Thomas Huang

  • Document clustering based on non-negative matrix factorization

    Wei Xu;Xin Liu;Yihong Gong

  • Person Re-identification by Multi-Channel Parts-Based CNN with Improved Triplet Loss Function

    De Cheng;Yihong Gong;Sanping Zhou;Jinjun Wang

  • Salient Object Detection: A Discriminative Regional Feature Integration Approach

    Huaizu Jiang;Jingdong Wang;Zejian Yuan;Yang Wu

  • Generic text summarization using relevance measure and latent semantic analysis

    Yihong Gong;Xin Liu

  • Nonlinear Learning using Local Coordinate Coding

    Kai Yu;Tong Zhang;Yihong Gong

  • Bayesian Loss for Crowd Count Estimation With Point Supervision

    Zhiheng Ma;Xing Wei;Xiaopeng Hong;Yihong Gong

  • Automatic parsing of TV soccer programs

    Yihong Gong;Lim Teck Sin;Chua Hock Chuan;Hongjiang Zhang

  • Human Tracking Using Convolutional Neural Networks

    Jialue Fan;Wei Xu;Ying Wu;Yihong Gong

  • Few-Shot Class-Incremental Learning

    Xiaoyu Tao;Xiaopeng Hong;Xinyuan Chang;Songlin Dong

  • Infrared-Visible Cross-Modal Person Re-Identification with an X Modality

    Diangang Li;Xing Wei;Xiaopeng Hong;Yihong Gong

  • SoftCuts: A Soft Edge Smoothness Prior for Color Image Super-Resolution

    Shengyang Dai;Mei Han;Wei Xu;Ying Wu

  • Detecting communities and their evolutions in dynamic social networks--a Bayesian approach

    Tianbao Yang;Yun Chi;Shenghuo Zhu;Yihong Gong

  • Soft Edge Smoothness Prior for Alpha Channel Super Resolution

    Shengyang Dai;Mei Han;Wei Xu;Ying Wu

  • Document clustering by concept factorization

    Wei Xu;Yihong Gong

  • Combining content and link for classification using matrix factorization

    Shenghuo Zhu;Kai Yu;Yun Chi;Yihong Gong

  • Lessons learned from building a terabyte digital video library

    H.D. Wactlar;M.G. Christel;Yihong Gong;A.G. Hauptmann

  • Automatic parsing and indexing of news video

    HongJiang Zhang;Shuang Yeo Tan;Stephen W. Smoliar;Gong Yihong

  • Multi-labelled classification using maximum entropy method

    Shenghuo Zhu;Xiang Ji;Wei Xu;Yihong Gong

Frequent Co-Authors

Wei Xu
Wei Xu Horizon Robotics Inc.
Nanning Zheng
Nanning Zheng Xi'an Jiaotong University
Kai Yu
Kai Yu Horizon Robotics Inc.
Xing Wei
Xing Wei Xi'an Jiaotong University
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Yun Chi
Yun Chi Robinhood
Sanping Zhou
Sanping Zhou Xi'an Jiaotong University
Tao Li
Tao Li Florida International University
Alexander G. Hauptmann
Alexander G. Hauptmann Carnegie Mellon University

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