Fleming Lure
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- COVID-19 diagnosis using AI 10
- Radiomics and Machine Learning in Medical Imaging 9
-
- AI in cancer detection 11
- Machine Learning in Healthcare 5
- Co-authors
- Teresa Wu (9 shared papers)Jing Li (6 shared papers)Kewei Chen (6 shared papers)David Weidman (3 shared papers)Xiaonan Liu (1 shared paper)Stefan Jaeger (5 shared papers)Yibo Lu (1 shared paper)Lin Guo (6 shared papers)
- Journals
- Journal of X-Ray Science and Technology (5 papers)IEEE Transactions on Automation Science and Engineering (3 papers)Journal of Endodontics (2 papers)Medical Physics (2 papers)Computerized Medical Imaging and Graphics (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Fleming Lure
44 papers receiving 499 citations
Peers
Comparison fields: 5 of 90
- Health Informatics 23
- Radiology, Nuclear Medicine and Imaging 183
- Health Information Management 19
- Neurology 33
- Media Technology 36
Countries citing papers authored by Fleming Lure
This map shows the geographic impact of Fleming Lure'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 Fleming Lure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fleming Lure more than expected).
Fields of papers citing papers by Fleming Lure
This network shows the impact of papers produced by Fleming Lure. 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 Fleming Lure. The network helps show where Fleming Lure may publish in the future.
Co-authors
The 25 scholars most cited alongside Fleming Lure, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2020 | 43 | |
| 3 | 2015 | 37 | |
| 4 | 2014 | 29 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 23 | |
| 7 | 2022 | 22 | |
| 8 | 1996 | 22 | |
| 9 | 2023 | 17 | |
| 10 | 2002 | 16 | |
| 11 | 1998 | 15 | |
| 12 | 2023 | 15 | |
| 13 | 2023 | 15 | |
| 14 | 2002 | 12 | |
| 15 | 2001 | 11 | |
| 16 | 2011 | 9 | |
| 17 | 2025 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2001 | 7 |
About Fleming Lure
Fleming Lure is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Biomedical Engineering and Infectious Diseases, having authored 47 papers that have together received 516 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), COVID-19 diagnosis using AI (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Machine Learning in Healthcare (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Dementia and Cognitive Impairment Research (5 papers), Artificial Intelligence in Healthcare (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Health Informatics (23 citations), Radiology, Nuclear Medicine and Imaging (183 citations), Health Information Management (19 citations), Neurology (33 citations) and Media Technology (36 citations). Fleming Lure has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Teresa Wu, Jing Li, Kewei Chen, David Weidman, Xiaonan Liu, Stefan Jaeger, Yibo Lu, Lin Guo, Pu-Xuan Lu and Bin Zheng. Their work appears in journals such as Journal of X-Ray Science and Technology, IEEE Transactions on Automation Science and Engineering, Journal of Endodontics, Medical Physics and Computerized Medical Imaging and Graphics.
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.