Xiaomeng Lei
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- COVID-19 diagnosis using AI
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 20
- MRI in cancer diagnosis 7
- Medical Imaging Techniques and Applications 4
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- Renal cell carcinoma treatment 8
- Digital Radiography and Breast Imaging 3
- Co-authors
- Steven Cen (35 shared papers)Bino Varghese (24 shared papers)Vinay Duddalwar (24 shared papers)Darryl Hwang (20 shared papers)Bhushan Desai (10 shared papers)Assad A. Oberai (7 shared papers)Inderbir S. Gill (9 shared papers)Mihir Desai (6 shared papers)
- Journals
- Journal of Applied Clinical Medical Physics (3 papers)European Radiology (3 papers)Scientific Reports (2 papers)Molecules (2 papers)The Journal of Urology (2 papers)
- Partner nations
- United StatesChinaNorway
In The Last Decade
Xiaomeng Lei
38 papers receiving 444 citations
Peers
Comparison fields: 5 of 80
- Health Informatics 27
- Radiology, Nuclear Medicine and Imaging 297
- Pulmonary and Respiratory Medicine 199
- Biomedical Engineering 117
- Pharmaceutical Science 12
Countries citing papers authored by Xiaomeng Lei
This map shows the geographic impact of Xiaomeng Lei'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 Xiaomeng Lei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomeng Lei more than expected).
Fields of papers citing papers by Xiaomeng Lei
This network shows the impact of papers produced by Xiaomeng Lei. 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 Xiaomeng Lei. The network helps show where Xiaomeng Lei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaomeng Lei, 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 | 2021 | 68 | |
| 2 | 2021 | 56 | |
| 3 | 2020 | 54 | |
| 4 | 2021 | 29 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 26 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 22 | |
| 9 | 2023 | 15 | |
| 10 | 2022 | 14 | |
| 11 | 2017 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 8 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2025 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2023 | 5 |
About Xiaomeng Lei
Xiaomeng Lei is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Surgery and Oncology, having authored 44 papers that have together received 450 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (20 papers), Advanced X-ray and CT Imaging (11 papers), Renal cell carcinoma treatment (8 papers), MRI in cancer diagnosis (7 papers), Medical Imaging Techniques and Applications (4 papers), AI in cancer detection (4 papers), Digital Radiography and Breast Imaging (3 papers) and Obesity, Physical Activity, Diet (3 papers). The work is most often cited by research in Health Informatics (27 citations), Radiology, Nuclear Medicine and Imaging (297 citations), Pulmonary and Respiratory Medicine (199 citations), Biomedical Engineering (117 citations) and Pharmaceutical Science (12 citations). Xiaomeng Lei has collaborated with scholars based in United States, China and Norway. Frequent co-authors include Steven Cen, Bino Varghese, Vinay Duddalwar, Darryl Hwang, Bhushan Desai, Assad A. Oberai, Inderbir S. Gill, Mihir Desai, Natalie L. Demirjian and Brandon K.K. Fields. Their work appears in journals such as Journal of Applied Clinical Medical Physics, European Radiology, Scientific Reports, Molecules and The Journal of Urology.
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.