World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
11576
World Ranking
5056
National Ranking
684

Yee Leung 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 Yee Leung 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: 217 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.

Yee Leung 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 Yee Leung 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Yee Leung is affiliated with the Chinese University of Hong Kong in China. Their research encompasses a range of topics primarily situated within the fields of Economics and Econometrics, Computer Vision and Pattern Recognition, Global and Planetary Change, Health, Toxicology and Mutagenesis, and Media Technology.

Their work covers several main topics, including:

  • Spatial and Panel Data Analysis
  • Air Quality and Health Impacts
  • Land Use and Ecosystem Services
  • Remote-Sensing Image Classification
  • Housing Market and Economics
  • Air Quality Monitoring and Forecasting
  • Noise Effects and Management

Yee Leung has contributed papers published in various venues, among which the most frequent publication venues are:

  • Annals of Allergy Asthma & Immunology
  • International Journal of Geographical Information Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • Spatial Statistics

Some of their recent papers include:

  • Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing, 2020, IEEE Transactions on Image Processing
  • Multiscale geographically and temporally weighted regression with a unilateral temporal weighting scheme and its application in the analysis of spatiotemporal characteristics of house prices in Beijing, 2021, International Journal of Geographical Information Systems
  • A novel method for identifying hotspots and forecasting air quality through an adaptive utilization of spatio-temporal information of multiple factors, 2020, The Science of The Total Environment
  • Deep neural network compression through interpretability-based filter pruning, 2021, Pattern Recognition
  • Spatial non-stationarity test of regression relationships in the multiscale geographically weighted regression model, 2024, Spatial Statistics

Yee Leung has regularly collaborated with several co-authors, predominantly with:

  • Yu Zhou (9 publications)
  • Tung Fung (6 publications)
  • Changlin Mei (3 publications)
  • Guang Shi (3 publications)
  • Donald (3 publications)

Best Publications

  • Statistical Tests for Spatial Nonstationarity Based on the Geographically Weighted Regression Model

    Yee Leung;Chang-Lin Mei;Wen-Xiu Zhang

  • Clustering by scale-space filtering

    Yee Leung;Jiang-She Zhang;Zong-Ben Xu

  • Granular Computing and Knowledge Reduction in Formal Contexts

    Wei-Zhi Wu;Yee Leung;Ju-Sheng Mi

  • Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition

    Yao Wang;Jiangjun Peng;Qian Zhao;Yee Leung

  • Maximal consistent block technique for rule acquisition in incomplete information systems

    Yee Leung;Deyu Li

  • Knowledge acquisition in incomplete information systems: A rough set approach

    Yee Leung;Wei-Zhi Wu;Wei-Zhi Wu;Wen-Xiu Zhang

  • A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems

    Wei Ying Yi;Kin Ming Lo;Terrence Mak;Kwong Sak Leung

  • Applying mobile phone data to travel behaviour research: A literature review

    Zhenzhen Wang;Sylvia Y. He;Yee Leung

  • Generalized fuzzy rough approximation operators based on fuzzy coverings

    Tong-Jun Li;Yee Leung;Wen-Xiu Zhang

  • Degree of population diversity - a perspective on premature convergence in genetic algorithms and its Markov chain analysis

    Yee Leung;Yong Gao;Zong-Ben Xu

  • Theory and applications of granular labelled partitions in multi-scale decision tables

    Wei-Zhi Wu;Yee Leung

  • On characterizations of ( I,T)-fuzzy rough approximation operators

    Wei-Zhi Wu;Yee Leung;Ju-Sheng Mi

  • A rough set approach for the discovery of classification rules in interval-valued information systems

    Yee Leung;Manfred M. Fischer;Wei-Zhi Wu;Ju-Sheng Mi

  • Generalized fuzzy rough sets determined by a triangular norm

    Ju-Sheng Mi;Yee Leung;Hui-Yin Zhao;Tao Feng

  • Analysing regional industrialisation in Jiangsu province using geographically weighted regression

    Yefang Huang;Yee Leung

  • Testing for spatial autocorrelation among the residuals of the geographically weighted regression

    Yee Leung;Chang-Lin Mei;Wen-Xiu Zhang

  • Optimal scale selection for multi-scale decision tables

    Wei-Zhi Wu;Yee Leung

  • An uncertainty measure in partition-based fuzzy rough sets

    Ju-Sheng Mi;Yee Leung;Wei-Zhi Wu ∥

  • Connections between rough set theory and Dempster-Shafer theory of evidence

    Wei-Zhi Wu;Yee Leung;Wen-Xiu Zhang

  • On the Imprecision of Boundaries

    Yee Leung

  • Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition

    Yao Wang;Jiangjun Peng;Qian Zhao;Deyu Meng

Frequent Co-Authors

Kwong-Sak Leung
Kwong-Sak Leung Chinese University of Hong Kong
Wei-Zhi Wu
Wei-Zhi Wu Zhejiang Ocean University
Zongben Xu
Zongben Xu Xi'an Jiaotong University
Deyu Meng
Deyu Meng Xi'an Jiaotong University
Penelope M. Webb
Penelope M. Webb QIMR Berghofer Medical Research Institute
Michael A. Quinn
Michael A. Quinn International Gynaecological Cancer Society
Val Gebski
Val Gebski University of Sydney
Hextan Y.S. Ngan
Hextan Y.S. Ngan University of Hong Kong
Qian Zhao
Qian Zhao Xi'an Jiaotong University
Amanda B. Spurdle
Amanda B. Spurdle QIMR Berghofer Medical Research Institute

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