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Computer Science

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

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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