Jianyi Dai
- Infectious Diseases top 2%
- Neurology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology
- Artificial Intelligence top 10%
- Topics
- COVID-19 Clinical Research Studies (7 papers)SARS-CoV-2 and COVID-19 Research (5 papers)COVID-19 diagnosis using AI (4 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Jianyi Dai
12 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Infectious Diseases 809
- Neurology 377
- Radiology, Nuclear Medicine and Imaging 369
- Oncology 160
- Artificial Intelligence 127
Countries citing papers authored by Jianyi Dai
This map shows the geographic impact of Jianyi Dai'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 Jianyi Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianyi Dai more than expected).
Fields of papers citing papers by Jianyi Dai
This network shows the impact of papers produced by Jianyi Dai. 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 Jianyi Dai. The network helps show where Jianyi Dai may publish in the future.
Co-authorship network of co-authors of Jianyi Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Jianyi Dai. A scholar is included among the top collaborators of Jianyi Dai 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 Jianyi Dai. Jianyi Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 29 | |
| 4 | 15 | |
| 5 | Clinical characteristics and imaging manifestations of the 2019 novel coronavirus disease (COVID-19):A multi-center study in Wenzhou city, Zhejiang, Chinabreakdown → | 681 |
| 6 | 2 | |
| 7 | 197 | |
| 8 | 22 | |
| 9 | 271 | |
| 10 | 3 | |
| 11 | [Genotyping of HBV DNA in Shenzhen and clinical manifestations]. | 2 |
| 12 | [Expression of P27 protein and cyclin E in colon cancer]. | 3 |
About Jianyi Dai
Jianyi Dai is a scholar working on Infectious Diseases, Hepatology and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Infectious Diseases (809 citations), Health Informatics (53 citations) and Neurology (377 citations). Jianyi Dai has collaborated with scholars based in China and United States. Frequent co-authors include Qiqi Cao, Ashan Pan, Fuhua Yan, Le Qin, Zenghui Cheng, Wenjie Yang, Qingfeng Sun, Xiaoyang Wang, Jieming Qu and Chenchan Hu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Frontiers in Microbiology and Medicine.
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.