World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
10189
World Ranking
4371
National Ranking
584

Zhihua Cai 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 Zhihua Cai 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: 215 publications — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Zhihua Cai 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 Zhihua Cai 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Zhihua Cai is affiliated with China University of Geosciences, Wuhan in China. Their research spans multiple disciplines, primarily focusing on Engineering and Computer Science, with notable contributions to Media Technology, Computer Vision and Pattern Recognition, Artificial Intelligence, Atmospheric Science, and Pulmonary and Respiratory Medicine.

Their work frequently appears in a range of publication venues, demonstrating sustained engagement with both specialized and broader scientific communities. These venues include:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • arXiv (Cornell University)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Transactions on Multimedia

Zhihua Cai's recent papers reflect diverse applications and methods in multimedia and remote sensing technologies. Selected publications include:

  • Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation (2020), IEEE Transactions on Multimedia
  • CubeNet: X-shape connection for camouflaged object detection (2022), Pattern Recognition
  • A Novel Ten-Gene Signature Predicting Prognosis in Hepatocellular Carcinoma (2020), Frontiers in Cell and Developmental Biology
  • Spectral-Spatial and Superpixelwise PCA for Unsupervised Feature Extraction of Hyperspectral Imagery (2021), IEEE Transactions on Geoscience and Remote Sensing
  • Graph Regularized Residual Subspace Clustering Network for hyperspectral image clustering (2021), Information Sciences

Their research topics encompass a wide scope within image processing and remote sensing, including:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Advanced Image Fusion Techniques
  • Image Retrieval and Classification Techniques
  • Advanced Image and Video Retrieval Techniques
  • Face and Expression Recognition
  • Video Surveillance and Tracking Methods

Zhihua Cai frequently collaborates with several researchers, indicating established working relationships within their field. Frequent coauthors include:

  • Xiaobo Liu
  • Yongshan Zhang
  • Yaoming Cai
  • Xinwei Jiang
  • Zijia Zhang

The integration of their work spans cutting-edge areas in media technology and geoscience, particularly emphasizing hyperspectral imagery, clustering algorithms, and machine learning models for image annotation and detection. Their collaboration network and publication record underline a research trajectory deeply engaged with advances in remote sensing and multimedia analysis within engineering and computer science domains.

Best Publications

  • Differential Evolution With Ranking-Based Mutation Operators

    Wenyin Gong;Zhihua Cai

  • DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization

    Wenyin Gong;Zhihua Cai;Charles X. Ling

  • A Novel Bayes Model: Hidden Naive Bayes

    Liangxiao Jiang;H. Zhang;Zhihua Cai

  • Parameter extraction of solar cell models using repaired adaptive differential evolution

    Wenyin Gong;Zhihua Cai

  • SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery

    Junjun Jiang;Jiayi Ma;Chen Chen;Zhongyuan Wang

  • Survey of Improving K-Nearest-Neighbor for Classification

    Liangxiao Jiang;Zhihua Cai;Dianhong Wang;Siwei Jiang

  • Evaluation Measures of the Classification Performance of Imbalanced Data Sets

    Qiong Gu;Li Zhu;Zhihua Cai

  • Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization

    Wenyin Gong;Zhihua Cai;Charles X Ling;Hui Li

  • BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image

    Yaoming Cai;Xiaobo Liu;Zhihua Cai

  • Differential Evolution With Auto-Enhanced Population Diversity

    Ming Yang;Changhe Li;Zhihua Cai;Jing Guan

  • Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image

    Yaoming Cai;Zijia Zhang;Zhihua Cai;Xiaobo Liu

  • Adaptive Ranking Mutation Operator Based Differential Evolution for Constrained Optimization

    Wenyin Gong;Zhihua Cai;Dingwen Liang

  • A real-coded biogeography-based optimization with mutation

    Wenyin Gong;Zhihua Cai;Charles X. Ling;Hui Li

  • Adaptive strategy selection in differential evolution for numerical optimization: An empirical study

    Wenyin Gong;Álvaro Fialho;Zhihua Cai;Hui Li

  • A clustering-based differential evolution for global optimization

    Zhihua Cai;Wenyin Gong;Charles X. Ling;Harry Zhang

  • Survey of Improving Naive Bayes for Classification

    Liangxiao Jiang;Dianhong Wang;Zhihua Cai;Xuesong Yan

  • Improving Tree augmented Naive Bayes for class probability estimation

    Liangxiao Jiang;Zhihua Cai;Dianhong Wang;Harry Zhang

  • Enhancing the performance of differential evolution using orthogonal design method

    Wenyin Gong;Zhihua Cai;Liangxiao Jiang

  • A Multioperator Search Strategy Based on Cheap Surrogate Models for Evolutionary Optimization

    Wenyin Gong;Aimin Zhou;Zhihua Cai

  • An unsupervised parameter learning model for RVFL neural network.

    Yongshan Zhang;Jia Wu;Zhihua Cai;Bo Du

  • Data Mining on Imbalanced Data Sets

    Unknown

  • Naive Bayes text classifiers: a locally weighted learning approach

    Liangxiao Jiang;Zhihua Cai;Harry Zhang;Dianhong Wang

Frequent Co-Authors

Wenyin Gong
Wenyin Gong China University of Geosciences
Liangxiao Jiang
Liangxiao Jiang China University of Geosciences
Jia Wu
Jia Wu Macquarie University
Junjun Jiang
Junjun Jiang Harbin Institute of Technology
Xingquan Zhu
Xingquan Zhu Florida Atlantic University
Charles X. Ling
Charles X. Ling University of Western Ontario
Junbin Gao
Junbin Gao University of Sydney
Chengqi Zhang
Chengqi Zhang Hong Kong Polytechnic University
Shirui Pan
Shirui Pan Griffith University
Yong Wang
Yong Wang Central South University

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