Ling‐Yu Duan
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Advanced Neural Network Applications
- Image Enhancement Techniques
- Human-Computer Interaction top 0.5%
Papers in
-
- Advanced Image and Video Retrieval Techniques 108
- Image Retrieval and Classification Techniques 58
- Video Analysis and Summarization 55
- Video Surveillance and Tracking Methods 54
- Advanced Vision and Imaging 35
- Advanced Image Processing Techniques 27
- Human Pose and Action Recognition 26
- Co-authors
- Jun LiuAlex C. KotGang WangWen GaoAmir ShahroudyYan BaiChangsheng XuTiejun Huang
In The Last Decade
Ling‐Yu Duan
235 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Computer Vision and Pattern Recognition 6.8k
- Human-Computer Interaction 527
- Media Technology 747
- Signal Processing 836
- Artificial Intelligence 2.0k
Countries citing papers authored by Ling‐Yu Duan
This map shows the geographic impact of Ling‐Yu Duan'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‐Yu Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling‐Yu Duan more than expected).
Fields of papers citing papers by Ling‐Yu Duan
This network shows the impact of papers produced by Ling‐Yu Duan. 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‐Yu Duan. The network helps show where Ling‐Yu Duan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling‐Yu Duan, 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 | 2024 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 27 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 34 | |
| 6 | 2021 | 31 | |
| 7 | 2020 | 23 | |
| 8 | 2020 | 7 | |
| 9 | 2020 | 80 | |
| 10 | 2019 | 3 | |
| 11 | 2019 | 86 | |
| 12 | 2019 | 18 | |
| 13 | 2019 | 19 | |
| 14 | 2019 | 131 | |
| 15 | 2019 | 29 | |
| 16 | 2018 | 192 | |
| 17 | 2018 | 100 | |
| 18 | Global Context-Aware Attention LSTM Networks for 3D Action Recognition Hit paper breakdown → | 2017 | 463 |
| 19 | Hamming compatible quantization for hashing | 2015 | 18 |
| 20 | Shot-Level Camera Motion Estimation Based on a Parametric Model. | 2005 | 3 |
About Ling‐Yu Duan
Ling‐Yu Duan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 241 papers that have together received 7.8k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (108 papers), Image Retrieval and Classification Techniques (58 papers), Video Analysis and Summarization (55 papers), Video Surveillance and Tracking Methods (54 papers), Advanced Vision and Imaging (35 papers), Robotics and Sensor-Based Localization (35 papers), Advanced Image Processing Techniques (27 papers) and Human Pose and Action Recognition (26 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.8k citations), Human-Computer Interaction (527 citations), Media Technology (747 citations), Signal Processing (836 citations) and Artificial Intelligence (2.0k citations). Ling‐Yu Duan has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Jun Liu, Alex C. Kot, Gang Wang, Wen Gao, Amir Shahroudy, Yan Bai, Changsheng Xu, Tiejun Huang, Shiqi Wang and Mauricio Pérez. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Multimedia.
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.