Biao Cai
- Cognitive Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence
- Experimental and Cognitive Psychology
- Obstetrics and Gynecology
- Co-authors
- Vince D. CalhounYu‐Ping WangAiying ZhangTony W. WilsonJulia M. StephenGemeng ZhangWenxing HuLi Xiao
- Topics
- Functional Brain Connectivity Studies (17 papers)Advanced Neuroimaging Techniques and Applications (7 papers)Advanced MRI Techniques and Applications (6 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Biao Cai
19 papers receiving 404 citations
Peers
Comparison fields: 5 of 84
- Cognitive Neuroscience 255
- Radiology, Nuclear Medicine and Imaging 149
- Artificial Intelligence 47
- Experimental and Cognitive Psychology 38
- Obstetrics and Gynecology 30
Countries citing papers authored by Biao Cai
This map shows the geographic impact of Biao Cai'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 Biao Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biao Cai more than expected).
Fields of papers citing papers by Biao Cai
This network shows the impact of papers produced by Biao Cai. 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 Biao Cai. The network helps show where Biao Cai may publish in the future.
Co-authorship network of co-authors of Biao Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Biao Cai. A scholar is included among the top collaborators of Biao Cai 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 Biao Cai. Biao Cai 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 | 0 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | [Compound Chamomile and Lidocaine Hydrochloride Gel applied at different time-windows for premature ejaculation: A prospective single-center randomized controlled study]. | 0 |
| 7 | 47 | |
| 8 | 40 | |
| 9 | 34 | |
| 10 | 8 | |
| 11 | 11 | |
| 12 | 19 | |
| 13 | 9 | |
| 14 | 36 | |
| 15 | 13 | |
| 16 | 33 | |
| 17 | 37 | |
| 18 | 33 | |
| 19 | 11 | |
| 20 | 32 |
About Biao Cai
Biao Cai is a scholar working on Computational Mathematics, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 408 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (17 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Advanced MRI Techniques and Applications (6 papers). The work is most often cited by research in Computational Mathematics (10 citations), Cognitive Neuroscience (255 citations) and Radiology, Nuclear Medicine and Imaging (149 citations). Biao Cai has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Vince D. Calhoun, Yu‐Ping Wang, Aiying Zhang, Tony W. Wilson, Julia M. Stephen, Gemeng Zhang, Wenxing Hu, Li Xiao, Qingfeng Yan and Gang Qu. Their work appears in journals such as NeuroImage, Genome biology and IEEE Transactions on Biomedical Engineering.
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.