Lu Ding
Impact in
- Media Technology top 5%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
-
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Image Enhancement Techniques
- Chaos-based Image/Signal Encryption
Papers in
-
- Video Surveillance and Tracking Methods 18
- Advanced Vision and Imaging 12
- Advanced Neural Network Applications 8
- Human Pose and Action Recognition 3
- Software 2
- Co-authors
- Yong WangShan FuRob LawRobert LaganièreShenshen GuHuanlong ZhangDan HuangBo Jia
- Journals
- Knowledge-Based Systems (4 papers)Multimedia Tools and Applications (3 papers)Neurocomputing (3 papers)Applied Soft Computing (2 papers)Neural Computing and Applications (2 papers)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Lu Ding
48 papers receiving 519 citations
Peers
Comparison fields: 5 of 83
- Media Technology 130
- Computer Vision and Pattern Recognition 301
- Human-Computer Interaction 22
- Aerospace Engineering 94
- Safety, Risk, Reliability and Quality 28
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 21 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 28 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 20 | |
| 11 | 2019 | 9 | |
| 12 | 2019 | 20 | |
| 13 | 2019 | 6 | |
| 14 | 2017 | 36 | |
| 15 | 2017 | 5 | |
| 16 | 2017 | 1 | |
| 17 | 2017 | 32 | |
| 18 | 2015 | 26 | |
| 19 | Thin aspheric lens for mobile phone | 2010 | 2 |
| 20 | 2008 | 5 |
About Lu Ding
Lu Ding is a scholar working on Computer Vision and Pattern Recognition, Software, Aerospace Engineering, Industrial and Manufacturing Engineering and Media Technology, having authored 52 papers that have together received 538 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (18 papers), Advanced Vision and Imaging (12 papers), Advanced Neural Network Applications (8 papers), Infrared Target Detection Methodologies (6 papers), Advanced Chemical Sensor Technologies (5 papers), Manufacturing Process and Optimization (4 papers), Distributed Control Multi-Agent Systems (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Media Technology (130 citations), Computer Vision and Pattern Recognition (301 citations), Human-Computer Interaction (22 citations), Aerospace Engineering (94 citations) and Safety, Risk, Reliability and Quality (28 citations). Lu Ding has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Yong Wang, Shan Fu, Rob Law, Robert Laganière, Shenshen Gu, Huanlong Zhang, Dan Huang, Bo Jia, Yue Yang and Biting Yu. 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.