World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
8254
World Ranking
4664
National Ranking
625

Zhihui Lai 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 Zhihui Lai 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: 226 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Zhihui Lai 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 Zhihui Lai 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Zhihui Lai is affiliated with Shenzhen University in China and specializes in fields related to computer science and engineering. Their research portfolio includes over 120 publications in computer science with significant contributions across various subfields, notably computer vision and pattern recognition, artificial intelligence, and computational mechanics.

Their work extensively covers topics such as face and expression recognition, sparse and compressive sensing techniques, and remote-sensing image classification. Other main topics include video surveillance and tracking methods, image retrieval and classification techniques, face recognition and analysis, and advanced image and video retrieval techniques.

Frequent collaborators of Zhihui Lai include Jie Zhou, Jun Wan, Jiajun Wen, Can Gao, and Linlin Shen, reflecting a network of scholarly cooperation on multiple projects.

They have published regularly in a range of scientific venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • Pattern Recognition
  • Information Sciences
  • International Journal of Machine Learning and Cybernetics
  • Neural Networks

Significant recent papers by Zhihui Lai include:

  • "Structured optimal graph based sparse feature extraction for semi-supervised learning" (2020) published in Signal Processing
  • "Discriminative deep multi-task learning for facial expression recognition" (2020) published in Information Sciences
  • "Projected fuzzy C-means clustering with locality preservation" (2020) published in Pattern Recognition
  • "A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence" (2023) published in CAAI Transactions on Intelligence Technology
  • "Low-rank adaptive graph embedding for unsupervised feature extraction" (2020) published in Pattern Recognition

The focus on semi-supervised learning, clustering methods, deep learning architectures, and feature extraction techniques demonstrates a strong emphasis on image and pattern recognition technologies. Their research activities bridge core artificial intelligence approaches with practical applications such as facial expression and diabetic retinopathy detection.

Zhihui Lai's publication record indicates a multidisciplinary approach, combining computer vision with signal processing, machine learning, and biomedical imaging. This breadth supports ongoing developments in automated recognition systems and advanced image analytics within the engineering and computer science communities.

Best Publications

  • Multilinear Sparse Principal Component Analysis

    Zhihui Lai;Yong Xu;Qingcai Chen;Jian Yang

  • Discriminative Elastic-Net Regularized Linear Regression

    Zheng Zhang;Zhihui Lai;Yong Xu;Ling Shao

  • Joint sparse principal component analysis

    Shuangyan Yi;Zhihui Lai;Zhenyu He;Yiu Ming Cheung

  • Wavelet Integrated CNNs for Noise-Robust Image Classification

    Qiufu Li;Linlin Shen;Sheng Guo;Zhihui Lai

  • A hybrid piezo-dielectric wind energy harvester for high-performance vortex-induced vibration energy harvesting

    Zhihui Lai;Shuaibo Wang;Likuan Zhu;Guoqing Zhang

  • A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification

    Zhengming Li;Zhihui Lai;Yong Xu;Jian Yang

  • WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification

    Qiufu Li;Linlin Shen;Sheng Guo;Zhihui Lai

  • Using the idea of the sparse representation to perform coarse-to-fine face recognition

    Yong Xu;Qi Zhu;Zizhu Fan;David Zhang

  • Approximate Orthogonal Sparse Embedding for Dimensionality Reduction

    Zhihui Lai;Wai Keung Wong;Yong Xu;Jian Yang

  • Integrating conventional and inverse representation for face recognition.

    Yong Xu;Xuelong Li;Jian Yang;Zhihui Lai

  • Low-Rank Preserving Projections

    Yuwu Lu;Zhihui Lai;Yong Xu;Xuelong Li

  • Low-Rank Embedding for Robust Image Feature Extraction

    Wai Keung Wong;Zhihui Lai;Jiajun Wen;Xiaozhao Fang

  • Sparse tensor discriminant analysis

    Zhihui Lai;Yong Xu;Jian Yang;Jinhui Tang

  • Structured optimal graph based sparse feature extraction for semi-supervised learning

    Zhonghua Liu;Zhihui Lai;Weihua Ou;Kaibing Zhang

  • Face recognition by sparse discriminant analysis via joint L2,1-norm minimization

    Xiaoshuang Shi;Yujiu Yang;Zhenhua Guo;Zhihui Lai;Zhihui Lai

  • Weak-signal detection based on the stochastic resonance of bistable Duffing oscillator and its application in incipient fault diagnosis

    Zhi-hui Lai;Zhi-hui Lai;Yong-gang Leng

  • Robust Semi-Supervised Subspace Clustering via Non-Negative Low-Rank Representation

    Xiaozhao Fang;Yong Xu;Xuelong Li;Zhihui Lai

  • Human Gait Recognition via Sparse Discriminant Projection Learning

    Zhihui Lai;Yong Xu;Zhong Jin;David Zhang

  • Regularized Label Relaxation Linear Regression

    Xiaozhao Fang;Yong Xu;Xuelong Li;Zhihui Lai

  • Rotational Invariant Dimensionality Reduction Algorithms

    Zhihui Lai;Yong Xu;Jian Yang;Linlin Shen

  • Robust Discriminant Regression for Feature Extraction

    Zhihui Lai;Dongmei Mo;Wai Keung Wong;Yong Xu

  • Scalable Supervised Asymmetric Hashing With Semantic and Latent Factor Embedding

    Zheng Zhang;Zhihui Lai;Zi Huang;Wai Keung Wong

Frequent Co-Authors

Wai Keung Wong
Wai Keung Wong Hong Kong Polytechnic University
Linlin Shen
Linlin Shen Shenzhen University
Yong Xu
Yong Xu Harbin Institute of Technology
Xuelong Li
Xuelong Li China Telecom (China)
David Zhang
David Zhang Chinese University of Hong Kong, Shenzhen
Jian Yang
Jian Yang University of Birmingham
Henry Leung
Henry Leung University of Calgary
Duoqian Miao
Duoqian Miao Tongji University
Daniil Yurchenko
Daniil Yurchenko University of Southampton
Zhong Jin
Zhong Jin Nanjing University

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