Zhiming Li
- Internal Medicine top 5%
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis 7
-
- Radiomics and Machine Learning in Medical Imaging 11
- MRI in cancer diagnosis 3
- Emergency Medical Services top 10%
-
- Gastric Cancer Management and Outcomes 3
-
- Liver Disease Diagnosis and Treatment 7
- Hepatitis B Virus Studies 3
-
- AI in cancer detection 3
-
- Colorectal Cancer Surgical Treatments 2
- Co-authors
- Haiyang YuYuanxiang GaoXiaoming ZhouMing NiJesse K. McKenneySharon W. WeissZhenjie LiuAndrew L. Folpe
- Journals
- Angewandte Chemie International Edition (1 paper)Journal of Ethnopharmacology (1 paper)The American Journal of Surgical Pathology (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zhiming Li
33 papers receiving 464 citations
Peers
Comparison fields: 5 of 99
- Internal Medicine 73
- Hepatology 110
- Radiology, Nuclear Medicine and Imaging 169
- Emergency Medical Services 39
- Pulmonary and Respiratory Medicine 108
Countries citing papers authored by Zhiming Li
This map shows the geographic impact of Zhiming 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 Zhiming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhiming Li more than expected).
Fields of papers citing papers by Zhiming Li
This network shows the impact of papers produced by Zhiming 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 Zhiming Li. The network helps show where Zhiming Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhiming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 7 | |
| 13 | 2021 | 17 | |
| 14 | 2020 | 7 | |
| 15 | 2020 | 21 | |
| 16 | 2020 | 8 | |
| 17 | 2019 | 63 | |
| 18 | 2017 | 6 | |
| 19 | 2014 | 17 | |
| 20 | 2002 | 55 |
About Zhiming Li
Zhiming Li is a scholar working on Hepatology, Process Chemistry and Technology and Radiology, Nuclear Medicine and Imaging, having authored 40 papers that have together received 475 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Liver Disease Diagnosis and Treatment (7 papers), MRI in cancer diagnosis (3 papers), Hepatitis B Virus Studies (3 papers), Gastric Cancer Management and Outcomes (3 papers), AI in cancer detection (3 papers) and Colorectal Cancer Surgical Treatments (2 papers). The work is most often cited by research in Internal Medicine (73 citations), Hepatology (110 citations) and Radiology, Nuclear Medicine and Imaging (169 citations). Zhiming Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Haiyang Yu, Yuanxiang Gao, Xiaoming Zhou, Ming Ni, Jesse K. McKenney, Sharon W. Weiss, Zhenjie Liu, Andrew L. Folpe, Yi Si and Ning Gao. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Ethnopharmacology and The American Journal of Surgical Pathology.
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.