Qingsen Yan
-
- Advanced Image Processing Techniques 31
- Image Enhancement Techniques 30
- Image and Signal Denoising Methods 21
- Advanced Vision and Imaging 15
- Advanced Neural Network Applications 8
- Video Surveillance and Tracking Methods 7
- Media Technology top 0.5%
- Advanced Image Fusion Techniques 12
- Image Processing Techniques and Applications 7
- Artificial Intelligence top 5%
- Co-authors
- Yanning ZhangJinqiu SunYu ZhuQinfeng ShiDong GongCheng ZhangShaolin SuXin Ge
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Image Processing (3 papers)Expert Systems with Applications (2 papers)IEEE Transactions on Biomedical Engineering (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Qingsen Yan
66 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Vision and Pattern Recognition 1.7k
- Media Technology 627
- Computer Graphics and Computer-Aided Design 45
- Artificial Intelligence 403
- Acoustics and Ultrasonics 11
Countries citing papers authored by Qingsen Yan
This map shows the geographic impact of Qingsen Yan'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 Qingsen Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingsen Yan more than expected).
Fields of papers citing papers by Qingsen Yan
This network shows the impact of papers produced by Qingsen Yan. 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 Qingsen Yan. The network helps show where Qingsen Yan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qingsen Yan, 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 | 1 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 43 | |
| 9 | VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detectionbreakdown → | 2024 | 54 |
| 10 | 2024 | 22 | |
| 11 | 2024 | 16 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2023 | 36 | |
| 15 | 2023 | 21 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 23 | |
| 18 | 2021 | 135 | |
| 19 | 2020 | 144 | |
| 20 | 2020 | 29 |
About Qingsen Yan
Qingsen Yan is a scholar working on Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Media Technology, having authored 76 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (31 papers), Image Enhancement Techniques (30 papers), Image and Signal Denoising Methods (21 papers), Advanced Vision and Imaging (15 papers), Advanced Image Fusion Techniques (12 papers), Advanced Neural Network Applications (8 papers), Video Surveillance and Tracking Methods (7 papers) and Image Processing Techniques and Applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Media Technology (627 citations) and Computer Graphics and Computer-Aided Design (45 citations). Qingsen Yan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yanning Zhang, Jinqiu Sun, Yu Zhu, Qinfeng Shi, Dong Gong, Cheng Zhang, Shaolin Su, Xin Ge, Ian Reid and Anton van den Hengel. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Transactions on Biomedical Engineering.
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.