Hailiang Li
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Surgery
- Artificial Intelligence top 10%
- Topics
- Radiomics and Machine Learning in Medical Imaging (16 papers)MRI in cancer diagnosis (15 papers)Glioma Diagnosis and Treatment (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaClinical Cancer ResearchFrontiers in Immunology
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Hailiang Li
30 papers receiving 810 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Radiology, Nuclear Medicine and Imaging 697
- Pulmonary and Respiratory Medicine 254
- Oncology 170
- Surgery 133
- Artificial Intelligence 113
Countries citing papers authored by Hailiang Li
This map shows the geographic impact of Hailiang 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 Hailiang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailiang Li more than expected).
Fields of papers citing papers by Hailiang Li
This network shows the impact of papers produced by Hailiang 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 Hailiang Li. The network helps show where Hailiang Li may publish in the future.
Co-authorship network of co-authors of Hailiang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Hailiang Li. A scholar is included among the top collaborators of Hailiang Li 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 Hailiang Li. Hailiang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 23 | |
| 9 | 2 | |
| 10 | 27 | |
| 11 | 6 | |
| 12 | 132 | |
| 13 | Radiomics of Multiparametric MRI for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer: A Multicenter Studybreakdown → | 354 |
| 14 | 63 | |
| 15 | 87 | |
| 16 | 7 | |
| 17 | 22 | |
| 18 | 1 | |
| 19 | 14 | |
| 20 | Small scintillation cell of absolute measurement 220 Rn | 1 |
About Hailiang Li
Hailiang Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 819 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (15 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (697 citations), Pulmonary and Respiratory Medicine (254 citations) and Cancer Research (107 citations). Hailiang Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jinrong Qu, Zhenyu Liu, Jie Tian, Zhenchao Tang, Mengjie Fang, Zaiyi Liu, Jie Tian, Longfei Li, Kun Wang and Renzhi Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Cancer Research and Frontiers in Immunology.
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.