World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
87
Citations
27826
World Ranking
731
National Ranking
110

Jinhui Tang 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 Jinhui Tang 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: 344 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Jinhui Tang 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 Jinhui Tang 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: 87 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Overview

Jinhui Tang is affiliated with Nanjing University of Science and Technology in China. Their research spans multiple aspects of computer science and engineering, with a significant focus on computer vision, pattern recognition, and artificial intelligence.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these broader fields, Tang's subfields of study emphasize:

  • Computer Vision and Pattern Recognition
  • Civil and Structural Engineering
  • Artificial Intelligence
  • Biomedical Engineering
  • Media Technology

Tang's research topics cover a range of advanced technologies and applications, including:

  • Concrete and Cement Materials Research
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging

The scientist has published extensively in a variety of venues. Their frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Construction and Building Materials
  • IEEE Transactions on Image Processing
  • Journal of Building Engineering

Some of the recent papers authored or coauthored by Jinhui Tang are:

  • Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, 2020, arXiv (Cornell University)
  • Centralized Feature Pyramid for Object Detection, 2023, IEEE Transactions on Image Processing
  • Learning attention-guided pyramidal features for few-shot fine-grained recognition, 2022, Pattern Recognition
  • Host-Parasite: Graph LSTM-in-LSTM for Group Activity Recognition, 2020, IEEE Transactions on Neural Networks and Learning Systems

Jinhui Tang collaborates frequently with several researchers, with notable coauthors including:

  • Zechao Li
  • Jiaping Liu
  • Xiangbo Shu
  • Jinshan Pan
  • Jiangxin Dong

Best Publications

  • NUS-WIDE: a real-world web image database from National University of Singapore

    Tat-Seng Chua;Jinhui Tang;Richang Hong;Haojie Li

  • Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

    Xiang Li;Wenhai Wang;Lijun Wu;Shuo Chen

  • Richer Convolutional Features for Edge Detection

    Yun Liu;Ming-Ming Cheng;Xiaowei Hu;Jia-Wang Bian

  • Correlative multi-label video annotation

    Guo-Jun Qi;Xian-Sheng Hua;Yong Rui;Jinhui Tang

  • Unified Video Annotation via Multigraph Learning

    Meng Wang;Xian-Sheng Hua;Richang Hong;Jinhui Tang

  • Nonconvex Nonsmooth Low Rank Minimization via Iteratively Reweighted Nuclear Norm

    Canyi Lu;Jinhui Tang;Shuicheng Yan;Zhouchen Lin

  • Single Image Dehazing via Conditional Generative Adversarial Network

    Runde Li;Jinshan Pan;Zechao Li;Jinhui Tang

  • Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection

    Xiang Li;Wenhai Wang;Xiaolin Hu;Jun Li

  • Deep Collaborative Embedding for Social Image Understanding

    Zechao Li;Jinhui Tang;Tao Mei

  • Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction.

    Xiangbo Shu;Liyan Zhang;Guo-Jun Qi;Wei Liu

  • Robust Structured Subspace Learning for Data Representation

    Zechao Li;Jing Liu;Jinhui Tang;Hanqing Lu

  • Learning attention-guided pyramidal features for few-shot fine-grained recognition

    Unknown

  • Fine-Grained Image Analysis with Deep Learning: A Survey

    Xiu-Shen Wei;Yi-Zhe Song;Oisin Mac Aodha;Jianxin Wu

  • Beyond Distance Measurement: Constructing Neighborhood Similarity for Video Annotation

    Meng Wang;Xian-Sheng Hua;Jinhui Tang;Richang Hong

  • Human Parsing with Contextualized Convolutional Neural Network

    Xiaodan Liang;Chunyan Xu;Xiaohui Shen;Jianchao Yang

  • Outer product-based neural collaborative filtering

    Xiangnan He;Xiaoyu Du;Xiang Wang;Feng Tian

  • Generalized Nonconvex Nonsmooth Low-Rank Minimization

    Canyi Lu;Jinhui Tang;Shuicheng Yan;Zhouchen Lin

  • Centralized Feature Pyramid for Object Detection

    Unknown

  • Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images

    Jinhui Tang;Richang Hong;Shuicheng Yan;Tat-Seng Chua

  • Causal intervention for weakly-supervised semantic segmentation

    Dong Zhang;Hanwang Zhang;Jinhui Tang;Xian-Sheng Hua

  • Online topic-aware influence maximization

    Shuo Chen;Ju Fan;Guoliang Li;Jianhua Feng

  • Camera Constraint-Free View-Based 3-D Object Retrieval

    Yue Gao;Jinhui Tang;Richang Hong;Shuicheng Yan

  • Inferring semantic concepts from community-contributed images and noisy tags

    Jinhui Tang;Shuicheng Yan;Richang Hong;Guo-Jun Qi

  • Human Parsing with Contextualized Convolutional Neural Network

    Xiaodan Liang;Chunyan Xu;Xiaohui Shen;Jianchao Yang

Frequent Co-Authors

Zechao Li
Zechao Li Nanjing University of Science and Technology
Guo-Jun Qi
Guo-Jun Qi Futurewei Technologies
Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Shuicheng Yan
Shuicheng Yan National University of Singapore
Xian-Sheng Hua
Xian-Sheng Hua Terminus International
Xiangbo Shu
Xiangbo Shu Nanjing University of Science and Technology
Tao Mei
Tao Mei Jingdong (China)
Meng Wang
Meng Wang Hefei University of Technology
Richang Hong
Richang Hong Hefei University of Technology
Qi Tian
Qi Tian Huawei Technologies (China)

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