Yan Bai
- Infectious Diseases top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Modeling and Simulation top 0.2%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Topics
- Radiomics and Machine Learning in Medical Imaging (19 papers)Medical Imaging Techniques and Applications (11 papers)MRI in cancer diagnosis (8 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yan Bai
45 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Infectious Diseases 1.7k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Modeling and Simulation 828
- Oncology 663
- Pulmonary and Respiratory Medicine 555
Countries citing papers authored by Yan Bai
This map shows the geographic impact of Yan Bai'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 Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Bai more than expected).
Fields of papers citing papers by Yan Bai
This network shows the impact of papers produced by Yan Bai. 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 Bai. The network helps show where Yan Bai may publish in the future.
Co-authorship network of co-authors of Yan Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Yan Bai. A scholar is included among the top collaborators of Yan Bai 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 Bai. Yan Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 13 | |
| 10 | 27 | |
| 11 | 40 | |
| 12 | 49 | |
| 13 | 15 | |
| 14 | 8 | |
| 15 | 8 | |
| 16 | 339 | |
| 17 | 27 | |
| 18 | 45 | |
| 19 | 9 | |
| 20 | 1 |
About Yan Bai
Yan Bai is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine, having authored 47 papers that have together received 4.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), Medical Imaging Techniques and Applications (11 papers) and MRI in cancer diagnosis (8 papers). The work is most often cited by research in Modeling and Simulation (828 citations), Health Informatics (129 citations) and Infectious Diseases (1.7k citations). Yan Bai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Meiyun Wang, Fei Tian, Dong‐Yan Jin, Lijuan Chen, Tao Wei, Jie Tian, Yunfei Zha, Xiaoming Qiu, Meng Niu and Xiaohu Li. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Stroke.
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.