Ling Guan

7.8k citations
334 papers · 4.9k · 2 hit papers · h-index 33

Impact in

Papers in

    • Image Retrieval and Classification Techniques 54
    • Advanced Image and Video Retrieval Techniques 52
    • Human Pose and Action Recognition 48
    • Face and Expression Recognition 44
    • Video Analysis and Summarization 33
    • Image and Signal Denoising Methods 33
    • Video Surveillance and Tracking Methods 24
    • Neural Networks and Applications 29

Ling Guan

308 papers receiving 4.6k citations

Ling Guan's Hit Papers

Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues 2021 · 324 citations
3240+4+9Years since publication200400600

Peers

Ling Guan
Comparison fields: 5 of 176
  • Computer Vision and Pattern Recognition 2.1k
  • Signal Processing 688
  • Automotive Engineering 658
  • Human-Computer Interaction 263
  • Experimental and Cognitive Psychology 552
Replace Clinton Fookes with:
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Citations per field
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Citations per year

Countries citing papers authored by Ling Guan

Since Specialization
Citations

This map shows the geographic impact of Ling Guan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ling Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Guan more than expected).

Fields of papers citing papers by Ling Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling Guan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ling Guan. The network helps show where Ling Guan may publish in the future.

Co-authors

The 25 scholars most cited alongside Ling Guan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ling Guan Line = papers co-authored together Ling Guan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 334 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Optimal Scheduling for Charging and Discharging of Electric Vehicles
Hit paper breakdown →
2012605
2
Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues
Hit paper breakdown →
2021324
3 2000234
4 2008160
5 2008158
6 2015130
7 2012115
8 201585
9 202183
10 201183
11 200481
12 199968
13 201160
14 200455
15 202054
16 201649
17 200949
18 199948
19 201245
20
Adaptive Image Processing: A Computational Intelligence Perspective
200144

About Ling Guan

Ling Guan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Human-Computer Interaction, having authored 334 papers that have together received 4.9k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (54 papers), Advanced Image and Video Retrieval Techniques (52 papers), Human Pose and Action Recognition (48 papers), Face and Expression Recognition (44 papers), Video Analysis and Summarization (33 papers), Image and Signal Denoising Methods (33 papers), Neural Networks and Applications (29 papers) and Video Surveillance and Tracking Methods (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Signal Processing (688 citations), Automotive Engineering (658 citations), Human-Computer Interaction (263 citations) and Experimental and Cognitive Psychology (552 citations). Ling Guan has collaborated with scholars based in Canada, China and Australia. Frequent co-authors include Yongjin Wang, Bala Venkatesh, Yifeng He, Alagan Anpalagan, Ahmed Shaharyar Khwaja, Abhishek Gupta, Yun Tie, Naimul Khan, Lei Gao and Lin Qi. Their work appears in journals such as IEEE Transactions on Multimedia, Pattern Recognition, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing and Journal of Visual Communication and Image Representation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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