Lu Ding
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Image Enhancement Techniques
- Media Technology top 2%
- Advanced Image Fusion Techniques
Papers in
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- Video Surveillance and Tracking Methods 24
- Advanced Vision and Imaging 12
- Advanced Neural Network Applications 11
- Robotic Path Planning Algorithms 6
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- UAV Applications and Optimization 6
- Infrared Target Detection Methodologies 6
- Co-authors
- Yong Wang (13 shared papers)Shan Fu (15 shared papers)Robert Laganière (8 shared papers)Edmond Q. Wu (4 shared papers)Chun Hung Roberts LAW (4 shared papers)Shenshen Gu (2 shared papers)Dan Fei Huang (4 shared papers)Huanlong Zhang (5 shared papers)
In The Last Decade
Lu Ding
59 papers receiving 812 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 535
- Media Technology 146
- Aerospace Engineering 221
- Safety, Risk, Reliability and Quality 68
- Human-Computer Interaction 23
Countries citing papers authored by Lu Ding
This map shows the geographic impact of Lu Ding'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 Lu Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Ding more than expected).
Fields of papers citing papers by Lu Ding
This network shows the impact of papers produced by Lu Ding. 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 Lu Ding. The network helps show where Lu Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 94 | |
| 2 | 2015 | 75 | |
| 3 | 2019 | 60 | |
| 4 | 2019 | 42 | |
| 5 | 2016 | 41 | |
| 6 | 2017 | 38 | |
| 7 | 2017 | 37 | |
| 8 | 2021 | 33 | |
| 9 | 2019 | 30 | |
| 10 | 2024 | 28 | |
| 11 | 2011 | 26 | |
| 12 | 2015 | 26 | |
| 13 | 2020 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2019 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2020 | 19 | |
| 18 | 2022 | 12 | |
| 19 | 2017 | 12 | |
| 20 | 2018 | 11 |
About Lu Ding
Lu Ding is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Control and Systems Engineering, Media Technology and Industrial and Manufacturing Engineering, having authored 62 papers that have together received 837 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (24 papers), Advanced Vision and Imaging (12 papers), Advanced Neural Network Applications (11 papers), Distributed Control Multi-Agent Systems (7 papers), Robotic Path Planning Algorithms (6 papers), UAV Applications and Optimization (6 papers), Infrared Target Detection Methodologies (6 papers) and Advanced Chemical Sensor Technologies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (535 citations), Media Technology (146 citations), Aerospace Engineering (221 citations), Safety, Risk, Reliability and Quality (68 citations) and Human-Computer Interaction (23 citations). Lu Ding has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Yong Wang, Shan Fu, Robert Laganière, Edmond Q. Wu, Chun Hung Roberts LAW, Shenshen Gu, Dan Fei Huang, Huanlong Zhang, Qirong Tang and Bo Jia. Their work appears in journals such as Knowledge-Based Systems, Multimedia Tools and Applications, Neurocomputing, Applied Soft Computing and Neural Computing and Applications.
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.