World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7374
World Ranking
8395
National Ranking
1095

Zhilin 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 Zhilin 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: 228 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Zhilin 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 Zhilin 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Zhilin Li is a researcher affiliated with the Hong Kong Polytechnic University in China. Their work primarily spans the field of engineering, with specific expertise in computer vision and pattern recognition, mechanical engineering, electrical and electronic engineering, biomedical engineering, and ocean engineering.

Their research focuses on topics such as remote-sensing image classification, land use and ecosystem services, geographic information systems studies, advanced image and video retrieval techniques, drilling and well engineering, remote sensing in agriculture, and remote sensing and LiDAR applications.

Frequent publication venues include:

  • arXiv (Cornell University)
  • ISPRS International Journal of Geo-Information
  • SSRN Electronic Journal
  • International Journal of Geographical Information Systems
  • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Some of Zhilin Li's recent papers are:

  • "Immunogenic Cell Death Activates the Tumor Immune Microenvironment to Boost the Immunotherapy Efficiency," 2022, Advanced Science
  • "A tumor cell membrane-coated self-amplified nanosystem as a nanovaccine to boost the therapeutic effect of anti-PD-L1 antibody," 2022, Bioactive Materials
  • "Toward Intelligent Cooperation of UAV Swarms: When Machine Learning Meets Digital Twin," 2020, IEEE Network
  • "Catalytic degradation of oxytetracycline via FeVO4 nanorods activating PMS and the insights into the performance and mechanism," 2021, Journal of Environmental Chemical Engineering
  • "Deep Reinforcement Learning for Flocking Motion of Multi-UAV Systems: Learn From a Digital Twin," 2021, IEEE Internet of Things Journal

Zhilin Li often collaborates with several co-authors, including Li Shen, Tian Lan, Jicheng Wang, Peng Ti, and Xinghua Cheng.

Best Publications

  • Digital Terrain Modeling: Principles and Methodology

    Zhilin Li;Christopher Zhu;Chris Gold

  • Automated building generalization based on urban morphology and Gestalt theory

    Zhilin Li;H. Yan;Tinghua Ai;Jun Chen

  • Algorithms for automated line generalization1 based on a natural principle of objective generalization

    Zhilin Li;Stan Openshaw

  • Algorithmic Foundation of Multi-Scale Spatial Representation

    Zhilin Li

  • A Voronoi-based 9-intersection model for spatial relations

    Jun Chen;Chengming Li;Zhilin Li;Christopher M. Gold

  • Quantitative measures for spatial information of maps

    Zhilin Li;Peizhi Huang

  • Ground subsidence monitoring in Hong Kong with satellite SAR interferometry

    Xiaoli Ding;G. X. Liu;Z. W. Li;Zhilin Li

  • ON THE MEASURE OF DIGITAL TERRAIN MODEL ACCURACY

    Zhilin Li

  • Effects of Various Factors on the Accuracy of DEMs: An Intensive Experimental Investigation

    Jianya Gong;Zhilin Li;Qing Zhu;Haigang Sui

  • VARIATION OF THE ACCURACY OF DIGITAL TERRAIN MODELS WITH SAMPLING INTERVAL

    Zhilin Li

  • Reliable shortest path finding in stochastic networks with spatial correlated link travel times

    Bi Yu Chen;William H.K. Lam;Agachai Sumalee;Zhi-lin Li

  • A comparative study of the accuracy of digital terrain models (DTMs) based on various data models

    Zhilin Li

  • Information from imagery: ISPRS scientific vision and research agenda

    Jun Chen;Ian Dowman;Songnian Li;Zhilin Li

  • Effects of check points on the reliability of DTM accuracy estimates obtained from experimental tests

    Zhilin Li

  • A Multiscale Approach for Spatio-Temporal Outlier Detection

    Tao Cheng;Zhilin Li

  • A Natural Principle for the Objective Generalization of Digital Maps

    Zhilin Li;Stan Openshaw

  • Multivariate statistical analysis of measures for assessing the quality of image fusion

    Shuang Li;Zhilin Li;Jianya Gong

  • Integration of multi-source data for water quality classification in the Pearl River estuary and its adjacent coastal waters of Hong Kong

    Xiaoling Chen;Xiaoling Chen;Yok Shueng Li;Zhigang Liu;Kedong Yin

  • Voronoi-based k-order neighbour relations for spatial analysis

    Jun Chen;Renliang Zhao;Renliang Zhao;Zhilin Li

  • Selective omission of road features based on mesh density for automatic map generalization

    Jun Chen;Yungang Hu;Zhilin Li;Renliang Zhao

Frequent Co-Authors

Xiaoli Ding
Xiaoli Ding Hong Kong Polytechnic University
Tian Lan
Tian Lan George Washington University
Kourosh Khoshelham
Kourosh Khoshelham University of Melbourne
Jianya Gong
Jianya Gong Wuhan University
William H. K. Lam
William H. K. Lam Hong Kong Polytechnic University
Zhiwei Li
Zhiwei Li Central South University
Peter Fisher
Peter Fisher University of Liverpool
Christian Heipke
Christian Heipke University of Hannover
Yaolin Liu
Yaolin Liu Wuhan University
Xiaoling Chen
Xiaoling Chen Wuhan University

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