World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
81
Citations
22413
World Ranking
1039
National Ranking
151

Qingquan 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 Qingquan 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: 431 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Qingquan 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 Qingquan 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: 81 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Overview

Qingquan Li is affiliated with Shenzhen University in China and has an extensive research portfolio predominantly in the field of engineering. Their work covers several subfields, including computer vision and pattern recognition, transportation, aerospace engineering, electrical and electronic engineering, and global and planetary change.

The researcher has contributed to numerous topics within these domains. Key areas of focus include robotics and sensor-based localization, human mobility and location-based analysis, indoor and outdoor localization technologies, 3D surveying and cultural heritage, urban transport and accessibility, advanced image and video retrieval techniques, and remote-sensing image classification.

Qingquan Li's publication record includes studies across multiple esteemed venues. Frequent publication outlets are:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing
  • SSRN Electronic Journal
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • IEEE Internet of Things Journal

Among recent papers, notable works include:

  • Follow-up study of the pulmonary function and related physiological characteristics of COVID-19 survivors three months after recovery, 2020, EClinicalMedicine
  • Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data, 2020, The Lancet Digital Health
  • Deep Learning-Based Gait Recognition Using Smartphones in the Wild, 2020, IEEE Transactions on Information Forensics and Security
  • A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles, 2021, IEEE Transactions on Intelligent Transportation Systems
  • Deep learning-based remote and social sensing data fusion for urban region function recognition, 2020, ISPRS Journal of Photogrammetry and Remote Sensing

Collaboration features prominently in their work, with frequent co-authors including Wei Tu, Baoding Zhou, Jiasong Zhu, Guofeng Wu, and Huizeng Liu.

Qingquan Li's research contributions span a diverse range of technical topics centered on localization, mobility, sensing technologies, and remote sensing, positioning them within key advancements in engineering and associated applications.

Best Publications

  • A comparative analysis of image fusion methods

    Zhijun Wang;D. Ziou;C. Armenakis;D. Li

  • CrackTree: Automatic crack detection from pavement images

    Qin Zou;Yu Cao;Qingquan Li;Qingzhou Mao

  • DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

    Qin Zou;Zheng Zhang;Qingquan Li;Xianbiao Qi

  • Measurements of POI-based mixed use and their relationships with neighbourhood vibrancy

    Yang Yue;Yan Zhuang;Anthony G. O. Yeh;Jin-Yun Xie

  • A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios

    Qingquan Li;Long Chen;Ming Li;Shih-Lung Shaw

  • A Novel Ranking-Based Clustering Approach for Hyperspectral Band Selection

    Sen Jia;Guihua Tang;Jiasong Zhu;Qingquan Li

  • Optimizing the Locations of Electric Taxi Charging Stations: a Spatial-temporal Demand Coverage Approach

    Wei Tu;Qingquan Li;Qingquan Li;Zhixiang Fang;Shih lung Shaw;Shih lung Shaw

  • Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data

    Ying Zhou;Renzhe Xu;Dongsheng Hu;Yang Yue

  • Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns

    Wei Tu;Jinzhou Cao;Yang Yue;Shih Lung Shaw

  • Accessibility impacts of China’s high-speed rail network

    Jing Cao;Jing Cao;Xiaoyue Cathy Liu;Yinhai Wang;Qingquan Li;Qingquan Li

  • Deep Learning-Based Gait Recognition Using Smartphones in the Wild

    Qin Zou;Yanling Wang;Qian Wang;Yi Zhao

  • A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous Vehicles

    Qin Zou;Qin Sun;Long Chen;Bu Nie

  • Spatial variations in urban public ridership derived from GPS trajectories and smart card data

    Wei Tu;Rui Cao;Yang Yue;Baoding Zhou

  • Impacts of weather on public transport ridership: Results from mining data from different sources ☆

    Meng Zhou;Meng Zhou;Donggen Wang;Qingquan Li;Yang Yue

  • Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies

    Yang Yue;Tian Lan;Anthony G.O. Yeh;Qing-Quan Li

  • FoSA: F* Seed-growing Approach for crack-line detection from pavement images

    Qingquan Li;Qin Zou;Daqiang Zhang;Qingzhou Mao

  • Portraying the spatial dynamics of urban vibrancy using multisource urban big data

    Wei Tu;Tingting Zhu;Jizhe Xia;Yulun Zhou

  • Map-matching algorithm for large-scale low-frequency floating car data

    Bi Yu Chen;Hui Yuan;Qingquan Li;William H. K. Lam

  • Vulnerability analysis for large-scale and congested road networks with demand uncertainty

    Bi Yu Chen;Bi Yu Chen;William H.K. Lam;William H.K. Lam;Agachai Sumalee;Qingquan Li

  • Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach

    Yang Xu;Shih Lung Shaw;Shih Lung Shaw;Ziliang Zhao;Ling Yin

  • Deep learning-based remote and social sensing data fusion for urban region function recognition

    Rui Cao;Rui Cao;Wei Tu;Cuixin Yang;Qing Li;Qing Li

  • Finding Reliable Shortest Paths in Road Networks Under Uncertainty

    Bi Yu Chen;Bi Yu Chen;William H. K. Lam;William H. K. Lam;Agachai Sumalee;Qingquan Li

  • Automated Extraction of Road Markings from Mobile Lidar Point Clouds

    Bisheng Yang;Lina Fang;Qingquan Li;Jonathan Li

Frequent Co-Authors

Shih-Lung Shaw
Shih-Lung Shaw University of Tennessee at Knoxville
Bisheng Yang
Bisheng Yang Wuhan University
William H. K. Lam
William H. K. Lam Hong Kong Polytechnic University
Sen Jia
Sen Jia Shenzhen University
Xue Yang
Xue Yang Shanghai Jiao Tong University
Guoping Qiu
Guoping Qiu University of Nottingham
Song Wang
Song Wang University of South Carolina
Xiuping Jia
Xiuping Jia University of New South Wales
Linlin Shen
Linlin Shen Shenzhen University
Xiaoli Ding
Xiaoli Ding Hong Kong Polytechnic University

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