Qingsen Yan

4.5k total citations · 4 hit papers
76 papers, 2.2k citations indexed

About

Qingsen Yan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Qingsen Yan has authored 76 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computer Vision and Pattern Recognition, 19 papers in Media Technology and 12 papers in Artificial Intelligence. Recurrent topics in Qingsen Yan's work include Advanced Image Processing Techniques (31 papers), Image Enhancement Techniques (30 papers) and Image and Signal Denoising Methods (21 papers). Qingsen Yan is often cited by papers focused on Advanced Image Processing Techniques (31 papers), Image Enhancement Techniques (30 papers) and Image and Signal Denoising Methods (21 papers). Qingsen Yan collaborates with scholars based in China, Australia and United States. Qingsen Yan's 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 and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Qingsen Yan

66 papers receiving 2.1k citations

Hit Papers

Blindly Assess Image Quality in the Wild Guided by a Self... 2020 2026 2022 2024 2020 2024 2024 2025 100 200 300 400

Peers

Qingsen Yan
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 1.7k
  • Media Technology 627
  • Artificial Intelligence 403
  • Radiology, Nuclear Medicine and Imaging 283
  • Biomedical Engineering 122
Replace Lei Zhu with:
Lei Zhu China
Shadrokh Samavi Iran
Tao Jiang China
Chun-Fu Richard Chen United States
Yuqian Zhao China
Zexuan Ji China
Sajid Javed United Arab Emirates
Guanghui Yue China
Henghui Ding Singapore
Lei Zhu China View profile →
Citations per field, relative to Qingsen Yan
Qingsen Yan · 1×
Citations per year, relative to Qingsen Yan
Qingsen Yan · 1×

Countries citing papers authored by Qingsen Yan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Qingsen Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Qingsen Yan. A scholar is included among the top collaborators of Qingsen Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qingsen Yan. Qingsen Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 0
4 1
5 0
6 1
7 2
8 43
9
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection breakdown →
54
10 22
11 16
12 1
13 0
14 36
15 21
16 1
17 23
18 135
19 144
20 29

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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