Yan Cui

950 citations
33 papers · 623 · h-index 11

Impact in

Papers in

Yan Cui

27 papers receiving 607 citations

Peers

Yan Cui
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 319
  • Instrumentation 53
  • Geology 77
  • Industrial and Manufacturing Engineering 75
  • Media Technology 59
Replace Adams Wei Yu with:
Adams Wei Yu United States
Junyang Shen United States
Rin-ichiro Taniguchi Japan
Zhiwu Lu China
Sihai Tang United States
Josep R. Casas Spain
Dinesh Thakur United States
Bo Peng China
Fabien Moutarde France
Yan Cui relative to Adams Wei Yu United States Adams Wei Yu's profile →
Citations per field
00.5×10.7×
Adams Wei Yu · 1×
Citations per year

Countries citing papers authored by Yan Cui

Since Specialization
Citations

This map shows the geographic impact of Yan Cui'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 Yan Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Cui more than expected).

Fields of papers citing papers by Yan Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Cui. 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 Yan Cui. The network helps show where Yan Cui may publish in the future.

Co-authors

The 25 scholars most cited alongside Yan Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yan Cui Line = papers co-authored together Yan Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010215
2 2022103
3 201258
4 202252
5 202231
6 201831
7 201330
8 202317
9 202313
10 202013
11 202212
12 20107
13 20186
14 20115
15 20234
16 20244
17 20174
18 20173
19 20223
20 20242

About Yan Cui

Yan Cui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Media Technology and Industrial and Manufacturing Engineering, having authored 33 papers that have together received 623 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Image and Signal Denoising Methods (5 papers), Industrial Vision Systems and Defect Detection (5 papers), Advanced Image Fusion Techniques (3 papers), Optical measurement and interference techniques (3 papers), Advanced Image Processing Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (319 citations), Instrumentation (53 citations), Geology (77 citations), Industrial and Manufacturing Engineering (75 citations) and Media Technology (59 citations). Yan Cui has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Sebastian Thrun, Christian Theobalt, Derek Y. Chan, Jielin Jiang, Xiaolong Xu, Muhammad Bilal, Jiale Zhu, Didier Stricker, Zheng Li and Feng Su. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Applied Sciences, IEEE Transactions on Instrumentation and Measurement, Signal Processing Image Communication and Neural Networks.

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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