Yanbei Liu
Impact in
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- Face and Expression Recognition
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- Industrial Vision Systems and Defect Detection
Papers in
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- Digital Imaging for Blood Diseases 6
- Face and Expression Recognition 5
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- Retinal Imaging and Analysis 7
- COVID-19 diagnosis using AI 5
- Co-authors
- Zhitao Xiao (39 shared papers)Lei Geng (38 shared papers)Fang Zhang (20 shared papers)Jun Wu (12 shared papers)Changqing Zhang (5 shared papers)Xiao Wang (7 shared papers)Bowen Liu (1 shared paper)Kaihua Liu (5 shared papers)
- Journals
- Multimedia Tools and Applications (4 papers)IEEE Access (4 papers)Applied Sciences (3 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)Medical Image Analysis (2 papers)
- Partner nations
- ChinaPolandUnited Kingdom
In The Last Decade
Yanbei Liu
51 papers receiving 766 citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 263
- Industrial and Manufacturing Engineering 93
- Radiology, Nuclear Medicine and Imaging 159
- Artificial Intelligence 244
- Structural Biology 9
Countries citing papers authored by Yanbei Liu
This map shows the geographic impact of Yanbei Liu'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 Yanbei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanbei Liu more than expected).
Fields of papers citing papers by Yanbei Liu
This network shows the impact of papers produced by Yanbei Liu. 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 Yanbei Liu. The network helps show where Yanbei Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanbei Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 94 | |
| 2 | 2021 | 70 | |
| 3 | 2020 | 58 | |
| 4 | 2021 | 56 | |
| 5 | 2022 | 42 | |
| 6 | 2016 | 37 | |
| 7 | 2019 | 32 | |
| 8 | 2016 | 27 | |
| 9 | 2019 | 26 | |
| 10 | 2020 | 23 | |
| 11 | 2019 | 22 | |
| 12 | 2020 | 20 | |
| 13 | 2020 | 20 | |
| 14 | 2017 | 17 | |
| 15 | 2022 | 17 | |
| 16 | 2018 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 2018 | 14 | |
| 20 | 2023 | 14 |
About Yanbei Liu
Yanbei Liu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Industrial and Manufacturing Engineering, Artificial Intelligence and Media Technology, having authored 56 papers that have together received 783 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (8 papers), Advanced Graph Neural Networks (8 papers), Retinal Imaging and Analysis (7 papers), Digital Imaging for Blood Diseases (6 papers), Complex Network Analysis Techniques (6 papers), COVID-19 diagnosis using AI (5 papers), Face and Expression Recognition (5 papers) and Image Processing Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (263 citations), Industrial and Manufacturing Engineering (93 citations), Radiology, Nuclear Medicine and Imaging (159 citations), Artificial Intelligence (244 citations) and Structural Biology (9 citations). Yanbei Liu has collaborated with scholars based in China, Poland and United Kingdom. Frequent co-authors include Zhitao Xiao, Lei Geng, Fang Zhang, Jun Wu, Changqing Zhang, Xiao Wang, Bowen Liu, Kaihua Liu, Shu Lei Wu and Dinggang G. Shen. Their work appears in journals such as Multimedia Tools and Applications, IEEE Access, Applied Sciences, IEEE Transactions on Neural Networks and Learning Systems and Medical Image Analysis.
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.