Yan Cui
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Geology top 5%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Christian TheobaltSebastian ThrunDerek Y. ChanJielin JiangXiaolong XuMuhammad BilalJiale ZhuDidier Stricker
- Topics
- Anomaly Detection Techniques and Applications (6 papers)Image and Signal Denoising Methods (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligencePattern RecognitionIEEE Transactions on Industrial Informatics
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Yan Cui
27 papers receiving 584 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 317
- Artificial Intelligence 147
- Aerospace Engineering 89
- Geology 77
- Industrial and Manufacturing Engineering 72
Countries citing papers authored by Yan Cui
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
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-authorship network of co-authors of Yan Cui
This figure shows the co-authorship network connecting the top 25 collaborators of Yan Cui. A scholar is included among the top collaborators of Yan Cui 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 Yan Cui. Yan Cui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 100 | |
| 10 | 12 | |
| 11 | 13 | |
| 12 | 31 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | Representing Feature Location Uncertainties in Spherical Images | 1 |
| 18 | 30 | |
| 19 | 58 | |
| 20 | 0 |
About Yan Cui
Yan Cui is a scholar working on Computer Vision and Pattern Recognition, Instrumentation and Media Technology, having authored 32 papers that have together received 606 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (6 papers), Image and Signal Denoising Methods (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (317 citations), Instrumentation (53 citations) and Geology (77 citations). Yan Cui has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Christian Theobalt, Sebastian Thrun, Derek Y. Chan, Jielin Jiang, Xiaolong Xu, Muhammad Bilal, Jiale Zhu, Didier Stricker, Neeraj Kumar and Feng Su. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and IEEE Transactions on Industrial Informatics.
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.