Yueming Li
Impact in
- Virology top 5%
- HIV Research and Treatment
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in ⓘ
-
- Radiomics and Machine Learning in Medical Imaging 19
- MRI in cancer diagnosis 15
- Hepatology 16
- Hepatocellular Carcinoma Treatment and Prognosis 15
- Co-authors
- John Kaldor (4 shared papers)Ann McDonald (3 shared papers)Andrew E. Grulich (2 shared papers)Patricia Correll (2 shared papers)Matthew Law (2 shared papers)Gregory J. Dore (3 shared papers)Bruce J. Brew (1 shared paper)Ann M. McDonald (1 shared paper)
- Journals
- Academic Radiology (3 papers)AIDS (3 papers)Frontiers in Oncology (3 papers)Clinical Radiology (2 papers)Annals of Translational Medicine (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yueming Li
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 107
- Virology 182
- Hepatology 202
- Oncology 413
- Radiology, Nuclear Medicine and Imaging 284
- Pathology and Forensic Medicine 199
Countries citing papers authored by Yueming Li
This map shows the geographic impact of Yueming Li'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 Yueming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yueming Li more than expected).
Fields of papers citing papers by Yueming Li
This network shows the impact of papers produced by Yueming Li. 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 Yueming Li. The network helps show where Yueming Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yueming Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 176 | |
| 2 | 2003 | 175 | |
| 3 | 2001 | 119 | |
| 4 | 2005 | 68 | |
| 5 | 2005 | 67 | |
| 6 | 2011 | 50 | |
| 7 | 2009 | 43 | |
| 8 | 2021 | 34 | |
| 9 | 2004 | 33 | |
| 10 | 2007 | 32 | |
| 11 | 2019 | 32 | |
| 12 | 2021 | 28 | |
| 13 | 2022 | 26 | |
| 14 | 2019 | 22 | |
| 15 | 2002 | 21 | |
| 16 | 2020 | 20 | |
| 17 | 2022 | 20 | |
| 18 | 2002 | 18 | |
| 19 | 2022 | 18 | |
| 20 | 2020 | 17 |
About Yueming Li
Yueming Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology, Oncology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers), MRI in cancer diagnosis (15 papers), Renal cell carcinoma treatment (6 papers), Liver Disease Diagnosis and Treatment (5 papers), HIV/AIDS Research and Interventions (4 papers), HIV/AIDS drug development and treatment (4 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Virology (182 citations), Hepatology (202 citations), Oncology (413 citations), Radiology, Nuclear Medicine and Imaging (284 citations) and Pathology and Forensic Medicine (199 citations). Yueming Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include John Kaldor, Ann McDonald, Andrew E. Grulich, Patricia Correll, Matthew Law, Gregory J. Dore, Bruce J. Brew, Ann M. McDonald, Jianwei Chen and Zihao Hua. Their work appears in journals such as Academic Radiology, AIDS, Frontiers in Oncology, Clinical Radiology and Annals of Translational 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.