Hui Li
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
-
- Artificial Intelligence in Healthcare and Education 6
-
- Radiomics and Machine Learning in Medical Imaging 74
- MRI in cancer diagnosis 35
- Medical Imaging Techniques and Applications 13
- Co-authors
- Maryellen L. GigerBenjamin Q. HuynhKaren DrukkerGillian M. NewsteadYuan JiYitan ZhuOlufunmilayo I. OlopadeNeha Bhooshan
- Journals
- Medical Physics (10 papers)Academic Radiology (6 papers)Radiology (4 papers)Cancer Imaging (3 papers)Journal of Digital Imaging (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hui Li
219 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Health Informatics 201
- Radiology, Nuclear Medicine and Imaging 3.3k
- Artificial Intelligence 2.1k
- Cancer Research 480
- Pulmonary and Respiratory Medicine 1.0k
Countries citing papers authored by Hui Li
This map shows the geographic impact of Hui 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 Hui Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Li more than expected).
Fields of papers citing papers by Hui Li
This network shows the impact of papers produced by Hui 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 Hui Li. The network helps show where Hui Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui 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 | 5 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 9 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 29 | |
| 12 | 2021 | 3 | |
| 13 | Dynamic Experience Replay | 2020 | 1 |
| 14 | 2017 | 2 | |
| 15 | Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set Hit paper breakdown → | 2016 | 287 |
| 16 | [Study on the risk factors of measles among the 8-month-olds and children≥15 years of age in Gansu province]. | 2014 | 2 |
| 17 | Correlative Analysis of FFDM and DCE-MRI for Improved Breast CADx | 2012 | 8 |
| 18 | 2012 | 35 | |
| 19 | 2011 | 8 | |
| 20 | 2008 | 45 |
About Hui Li
Hui Li is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 232 papers that have together received 5.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (74 papers), AI in cancer detection (49 papers), MRI in cancer diagnosis (35 papers), Digital Radiography and Breast Imaging (18 papers), Medical Imaging Techniques and Applications (13 papers), Global Cancer Incidence and Screening (8 papers), Gastric Cancer Management and Outcomes (6 papers) and Artificial Intelligence in Healthcare and Education (6 papers). The work is most often cited by research in Health Informatics (201 citations), Radiology, Nuclear Medicine and Imaging (3.3k citations), Artificial Intelligence (2.1k citations), Cancer Research (480 citations) and Pulmonary and Respiratory Medicine (1.0k citations). Hui Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Maryellen L. Giger, Benjamin Q. Huynh, Karen Drukker, Gillian M. Newstead, Yuan Ji, Yitan Zhu, Olufunmilayo I. Olopade, Neha Bhooshan, Lan Li and Gary J. Whitman. Their work appears in journals such as Medical Physics, Academic Radiology, Radiology, Cancer Imaging and Journal of Digital Imaging.
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.