Tianhe Ye
- Infectious Diseases top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Neurology top 2%
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Chuansheng ZhengLingli LiLian YangFeng PanBo LiangRichard L. HeskethJiazheng WangPeng Sun
- Topics
- COVID-19 Clinical Research Studies (6 papers)COVID-19 diagnosis using AI (5 papers)Hepatocellular Carcinoma Treatment and Prognosis (4 papers)
- Cited by
- Infectious DiseasesCritical Care and Intensive Care MedicineRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsRadiology
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Tianhe Ye
22 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Infectious Diseases 1.4k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Neurology 659
- Oncology 442
- Pulmonary and Respiratory Medicine 425
Countries citing papers authored by Tianhe Ye
This map shows the geographic impact of Tianhe Ye'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 Tianhe Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianhe Ye more than expected).
Fields of papers citing papers by Tianhe Ye
This network shows the impact of papers produced by Tianhe Ye. 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 Tianhe Ye. The network helps show where Tianhe Ye may publish in the future.
Co-authorship network of co-authors of Tianhe Ye
This figure shows the co-authorship network connecting the top 25 collaborators of Tianhe Ye. A scholar is included among the top collaborators of Tianhe Ye 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 Tianhe Ye. Tianhe Ye 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 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 72 | |
| 9 | 17 | |
| 10 | 33 | |
| 11 | Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19)breakdown → | 1928 |
| 12 | 29 | |
| 13 | 39 | |
| 14 | 154 | |
| 15 | 56 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 23 | |
| 19 | 20 | |
| 20 | 2 |
About Tianhe Ye
Tianhe Ye is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 25 papers that have together received 2.4k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), COVID-19 diagnosis using AI (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Critical Care and Intensive Care Medicine (355 citations) and Radiology, Nuclear Medicine and Imaging (1.2k citations). Tianhe Ye has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Chuansheng Zheng, Lingli Li, Lian Yang, Feng Pan, Bo Liang, Richard L. Hesketh, Jiazheng Wang, Peng Sun, Dandan Zheng and Dehan Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Radiology.
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.