World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
9718
World Ranking
4885
National Ranking
654

Zechao 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 Zechao 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: 170 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Zechao 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 Zechao 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: 53 D-Index — 67th percentile

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

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

Overview

Zechao Li is a researcher affiliated with Nanjing University of Science and Technology in China. Their work primarily contributes to the field of Computer Science, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging, and Biomedical Engineering.

The scientist's research spans several key topics, including:

  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Anomaly Detection Techniques and Applications
  • Image Retrieval and Classification Techniques
  • Topic Modeling

Among Zechao Li's recent publications are:

  • "Unsupervised Feature Selection Using Nonnegative Spectral Analysis," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Weakly-supervised Semantic Guided Hashing for Social Image Retrieval," 2020, International Journal of Computer Vision
  • "Knowledge-Guided Semantic Transfer Network for Few-Shot Image Recognition," 2023, IEEE Transactions on Neural Networks and Learning Systems

They have also notably contributed to the following publication venues with a higher frequency of work:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Zechao Li collaborates regularly with a range of coauthors, including:

  • Jinhui Tang
  • Yanpeng Sun
  • Hao Tang
  • Peng Xing
  • Lu Jin

Their research contributions encompass the development of techniques in feature selection, semantic hashing, and few-shot image recognition, among other topics. Many of their papers have gained significant citations, illustrating their presence in ongoing research discussions within the artificial intelligence and computer vision communities.

Best Publications

  • Unsupervised feature selection using nonnegative spectral analysis

    Zechao Li;Yi Yang;Jing Liu;Xiaofang Zhou

  • Single Image Dehazing via Conditional Generative Adversarial Network

    Runde Li;Jinshan Pan;Zechao Li;Jinhui Tang

  • Deep Collaborative Embedding for Social Image Understanding

    Zechao Li;Jinhui Tang;Tao Mei

  • 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

  • Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection

    Zechao Li;Jing Liu;Yi Yang;Xiaofang Zhou

  • Robust Structured Nonnegative Matrix Factorization for Image Representation

    Zechao Li;Jinhui Tang;Xiaofei He

  • Few-Shot Image Recognition With Knowledge Transfer

    Zhimao Peng;Zechao Li;Junge Zhang;Yan Li

  • Weakly Supervised Deep Matrix Factorization for Social Image Understanding

    Zechao Li;Jinhui Tang

  • Unsupervised Feature Selection via Nonnegative Spectral Analysis and Redundancy Control

    Zechao Li;Jinhui Tang

  • CTNet: Context-based Tandem Network for Semantic Segmentation.

    Zechao Li;Yanpeng Sun;Liyan Zhang;Jinhui Tang

  • Learning Dual Convolutional Neural Networks for Low-Level Vision

    Jinshan Pan;Sifei Liu;Deqing Sun;Jiawei Zhang

  • Weakly Supervised Deep Metric Learning for Community-Contributed Image Retrieval

    Zechao Li;Jinhui Tang

  • Neighborhood Discriminant Hashing for Large-Scale Image Retrieval

    Jinhui Tang;Zechao Li;Meng Wang;Ruizhen Zhao

  • Weakly-supervised Semantic Guided Hashing for Social Image Retrieval

    Zechao Li;Jinhui Tang;Liyan Zhang;Jian Yang

  • Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement

    Jinhui Tang;Xiangbo Shu;Guo-Jun Qi;Zechao Li

  • Knowledge-Guided Semantic Transfer Network for Few-Shot Image Recognition.

    Unknown

  • Generalized Deep Transfer Networks for Knowledge Propagation in Heterogeneous Domains

    Jinhui Tang;Xiangbo Shu;Zechao Li;Guo-Jun Qi

  • Partially Shared Latent Factor Learning With Multiview Data

    Jing Liu;Yu Jiang;Zechao Li;Zhi-Hua Zhou

  • Modeling Multimodal Clues in a Hybrid Deep Learning Framework for Video Classification

    Yu-Gang Jiang;Zuxuan Wu;Jinhui Tang;Zechao Li

  • Participation-Contributed Temporal Dynamic Model for Group Activity Recognition

    Rui Yan;Jinhui Tang;Xiangbo Shu;Zechao Li

  • Personalized Age Progression with Bi-Level Aging Dictionary Learning

    Xiangbo Shu;Jinhui Tang;Zechao Li;Hanjiang Lai

  • BlockMix: Meta Regularization and Self-Calibrated Inference for Metric-Based Meta-Learning

    Hao Tang;Zechao Li;Zhimao Peng;Jinhui Tang

Frequent Co-Authors

Jinhui Tang
Jinhui Tang Nanjing University of Science and Technology
Hanqing Lu
Hanqing Lu Chinese Academy of Sciences
Jing Liu
Jing Liu Chinese Academy of Sciences
Xiangbo Shu
Xiangbo Shu Nanjing University of Science and Technology
Guo-Jun Qi
Guo-Jun Qi Futurewei Technologies
Yu-Gang Jiang
Yu-Gang Jiang Fudan University
Meng Wang
Meng Wang Hefei University of Technology
Shenghua Gao
Shenghua Gao ShanghaiTech University
Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Tao Mei
Tao Mei Jingdong (China)

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