Fleming Lure
Impact in
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 14
- COVID-19 diagnosis using AI 10
-
- AI in cancer detection 11
- Machine Learning in Healthcare 5
- Co-authors
- Teresa Wu (9 shared papers)Kewei Chen (6 shared papers)Jing Li (6 shared papers)Stefan Jaeger (5 shared papers)David Weidman (3 shared papers)Xiaonan Liu (1 shared paper)Lin Guo (6 shared papers)Yibo Lu (1 shared paper)
- Journals
- Journal of X-Ray Science and Technology (5 papers)IEEE Transactions on Automation Science and Engineering (3 papers)Medical Physics (2 papers)Journal of Endodontics (2 papers)Alzheimer s & Dementia (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Fleming Lure
41 papers receiving 445 citations
Peers
Comparison fields: 5 of 93
- Health Informatics 28
- Radiology, Nuclear Medicine and Imaging 221
- Artificial Intelligence 146
- Health Information Management 21
- Neurology 35
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 97 | |
| 2 | 2020 | 42 | |
| 3 | 2015 | 35 | |
| 4 | 2014 | 27 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 21 | |
| 7 | 1996 | 21 | |
| 8 | 2022 | 20 | |
| 9 | 1998 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2002 | 14 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 13 | |
| 14 | 2002 | 11 | |
| 15 | 2011 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2001 | 7 | |
| 18 | 2001 | 7 | |
| 19 | 2016 | 6 | |
| 20 | 2023 | 5 |
About Fleming Lure
Fleming Lure is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Biomedical Engineering and Psychiatry and Mental health, having authored 44 papers that have together received 459 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), AI in cancer detection (11 papers), COVID-19 diagnosis using AI (10 papers), Lung Cancer Diagnosis and Treatment (6 papers), Dementia and Cognitive Impairment Research (5 papers), Machine Learning in Healthcare (5 papers), Digital Radiography and Breast Imaging (3 papers) and Advanced X-ray and CT Imaging (3 papers). The work is most often cited by research in Health Informatics (28 citations), Radiology, Nuclear Medicine and Imaging (221 citations), Artificial Intelligence (146 citations), Health Information Management (21 citations) and Neurology (35 citations). Fleming Lure has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Teresa Wu, Kewei Chen, Jing Li, Stefan Jaeger, David Weidman, Xiaonan Liu, Lin Guo, Yibo Lu, Pu-Xuan Lu and Paul W. Jones. Their work appears in journals such as Journal of X-Ray Science and Technology, IEEE Transactions on Automation Science and Engineering, Medical Physics, Journal of Endodontics and Alzheimer s & Dementia.
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.