H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 57 Citations 10,434 300 World Ranking 1866 National Ranking 174

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Computer vision

The scientist’s investigation covers issues in Artificial intelligence, Transport engineering, Global Positioning System, Computer vision and Simulation. His Pattern recognition research extends to Artificial intelligence, which is thematically connected. His Public transport study in the realm of Transport engineering interacts with subjects such as Poison control.

His work deals with themes such as Computation, Calibration and Big data, which intersect with Global Positioning System. His Computer vision study integrates concerns from other disciplines, such as Positioning system, Multidimensional scaling and Distance matrix. His Simulation research focuses on Stadium and how it connects with Cellular automaton and Process.

His most cited work include:

  • A comparative analysis of image fusion methods (669 citations)
  • CrackTree: Automatic crack detection from pavement images (336 citations)
  • A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios (204 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Artificial intelligence, Computer vision, Pattern recognition, Global Positioning System and Transport engineering. His Artificial intelligence research focuses on Feature extraction, Feature, Image, Deep learning and Pixel. His Computer vision research incorporates themes from Robustness and Laser scanning.

His study ties his expertise on Cluster analysis together with the subject of Pattern recognition. His study in Global Positioning System is interdisciplinary in nature, drawing from both Real-time computing and Data mining. His Transport engineering study combines topics in areas such as Big data, Trajectory and Geographic information system.

He most often published in these fields:

  • Artificial intelligence (38.62%)
  • Computer vision (21.65%)
  • Pattern recognition (16.29%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (38.62%)
  • Artificial neural network (4.91%)
  • Remote sensing (6.70%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Artificial intelligence, Artificial neural network, Remote sensing, Pattern recognition and Computer vision. His study in Deep learning, Feature, Multispectral image, Convolutional neural network and Segmentation are all subfields of Artificial intelligence. While the research belongs to areas of Artificial neural network, Qingquan Li spends his time largely on the problem of Convolution, intersecting his research to questions surrounding Modal, Multispectral pattern recognition and Panchromatic film.

His work in the fields of Remote sensing and Lidar overlaps with other areas such as Cloud cover. His Pattern recognition research integrates issues from Pixel, Cluster analysis and Hyperspectral image classification. His research in the fields of Image retrieval and Image overlaps with other disciplines such as Inertial frame of reference.

Between 2019 and 2021, his most popular works were:

  • Effects of human mobility restrictions on the spread of COVID-19 in Shenzhen, China: a modelling study using mobile phone data (49 citations)
  • Deep Learning-Based Gait Recognition Using Smartphones in the Wild (34 citations)
  • Enhancing remote sensing image retrieval using a triplet deep metric learning network (23 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Computer vision

Artificial intelligence, Artificial neural network, Deep learning, Convolutional neural network and Computer vision are his primary areas of study. Qingquan Li studies Artificial intelligence, focusing on Feature extraction in particular. His Artificial neural network research is multidisciplinary, incorporating elements of Land cover, Multispectral image, Remote sensing and Structure from motion.

His Deep learning study deals with Feature intersecting with Consistency, Asynchronous communication, Discriminative model and Algorithm. His studies deal with areas such as Real image, Convolution and Wearable computer as well as Convolutional neural network. His Computer vision research is multidisciplinary, relying on both Visualization and User experience design.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

A comparative analysis of image fusion methods

Zhijun Wang;D. Ziou;C. Armenakis;D. Li.
IEEE Transactions on Geoscience and Remote Sensing (2005)

1046 Citations

CrackTree: Automatic crack detection from pavement images

Qin Zou;Yu Cao;Qingquan Li;Qingzhou Mao.
Pattern Recognition Letters (2012)

477 Citations

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.
IEEE Transactions on Vehicular Technology (2014)

287 Citations

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.
Transportation Research Part C-emerging Technologies (2016)

177 Citations

Accessibility impacts of China’s high-speed rail network

Jing Cao;Jing Cao;Xiaoyue Cathy Liu;Yinhai Wang;Qingquan Li;Qingquan Li.
Journal of Transport Geography (2013)

176 Citations

A Novel Ranking-Based Clustering Approach for Hyperspectral Band Selection

Sen Jia;Guihua Tang;Jiasong Zhu;Qingquan Li.
IEEE Transactions on Geoscience and Remote Sensing (2016)

175 Citations

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.
Networks and Spatial Economics (2013)

148 Citations

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

Bi Yu Chen;Hui Yuan;Qingquan Li;William H. K. Lam.
International Journal of Geographical Information Science (2014)

148 Citations

Automated Extraction of Road Markings from Mobile Lidar Point Clouds

Bisheng Yang;Lina Fang;Qingquan Li;Jonathan Li.
Photogrammetric Engineering and Remote Sensing (2012)

147 Citations

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.
Travel behaviour and society (2014)

144 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Qingquan Li

Jonathan Li

Jonathan Li

University of Waterloo

Publications: 45

Yu Liu

Yu Liu

Peking University

Publications: 27

Qian Du

Qian Du

Mississippi State University

Publications: 25

Bisheng Yang

Bisheng Yang

Wuhan University

Publications: 24

Shih-Lung Shaw

Shih-Lung Shaw

University of Tennessee at Knoxville

Publications: 23

Wenzhong Shi

Wenzhong Shi

Hong Kong Polytechnic University

Publications: 22

William H. K. Lam

William H. K. Lam

Hong Kong Polytechnic University

Publications: 20

Jocelyn Chanussot

Jocelyn Chanussot

Grenoble Alpes University

Publications: 19

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 18

Hassan Ghassemian

Hassan Ghassemian

Tarbiat Modares University

Publications: 16

Jun Zhou

Jun Zhou

Griffith University

Publications: 16

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 16

Lin Liu

Lin Liu

Chinese Academy of Sciences

Publications: 16

Xiuping Jia

Xiuping Jia

UNSW Sydney

Publications: 13

Anthony Chen

Anthony Chen

Hong Kong Polytechnic University

Publications: 13

Something went wrong. Please try again later.