Baiying Lei
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Neurology top 0.5%
- Cognitive Neuroscience top 2%
- Topics
- AI in cancer detection (63 papers)Radiomics and Machine Learning in Medical Imaging (34 papers)Functional Brain Connectivity Studies (31 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Baiying Lei
274 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Artificial Intelligence 3.1k
- Computer Vision and Pattern Recognition 2.6k
- Radiology, Nuclear Medicine and Imaging 2.4k
- Neurology 1.0k
- Cognitive Neuroscience 844
Countries citing papers authored by Baiying Lei
This map shows the geographic impact of Baiying Lei'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 Baiying Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baiying Lei more than expected).
Fields of papers citing papers by Baiying Lei
This network shows the impact of papers produced by Baiying Lei. 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 Baiying Lei. The network helps show where Baiying Lei may publish in the future.
Co-authorship network of co-authors of Baiying Lei
This figure shows the co-authorship network connecting the top 25 collaborators of Baiying Lei. A scholar is included among the top collaborators of Baiying Lei 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 Baiying Lei. Baiying Lei 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 | 3 | |
| 3 | 19 | |
| 4 | 40 | |
| 5 | 0 | |
| 6 | 23 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 26 | |
| 10 | 8 | |
| 11 | 87 | |
| 12 | 13 | |
| 13 | 9 | |
| 14 | 22 | |
| 15 | 83 | |
| 16 | 61 | |
| 17 | 193 | |
| 18 | 14 | |
| 19 | 124 | |
| 20 | 72 |
About Baiying Lei
Baiying Lei is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 296 papers that have together received 8.1k indexed citations. Recurring topics across this work include AI in cancer detection (63 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Functional Brain Connectivity Studies (31 papers). The work is most often cited by research in Health Informatics (191 citations), Computer Vision and Pattern Recognition (2.6k citations) and Neurology (1.0k citations). Baiying Lei has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Tianfu Wang, Dong Ni, Siping Chen, Feng Zhou, Jing Qin, Ahmed Elazab, Shuqiang Wang, Haijun Lei, Huisi Wu and Ing Yann Soon. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.
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.