Xiaomeng Lei
Impact in
- Health Informatics top 10%
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- MRI in cancer diagnosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 11
- MRI in cancer diagnosis 3
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- Renal cell carcinoma treatment 5
- Digital Radiography and Breast Imaging 3
- Prostate Cancer Diagnosis and Treatment 2
- Sarcoma Diagnosis and Treatment 1
- Co-authors
- Steven Cen (35 shared papers)Vinay Duddalwar (25 shared papers)Bino Varghese (24 shared papers)Darryl Hwang (20 shared papers)Bhushan Desai (10 shared papers)Assad A. Oberai (7 shared papers)Inderbir S. Gill (10 shared papers)Mihir Desai (6 shared papers)
- Journals
- European Radiology (3 papers)Oncology (3 papers)Journal of Applied Clinical Medical Physics (3 papers)The Journal of Urology (2 papers)British Journal of Radiology (2 papers)
- Partner nations
- United StatesNorwayChina
In The Last Decade
Xiaomeng Lei
40 papers receiving 457 citations
Peers
Comparison fields: 5 of 66
- Health Informatics 18
- Radiology, Nuclear Medicine and Imaging 188
- Pulmonary and Respiratory Medicine 145
- Pharmaceutical Science 11
- Biomedical Engineering 61
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 69 | |
| 2 | 2020 | 56 | |
| 3 | 2021 | 56 | |
| 4 | 2021 | 31 | |
| 5 | 2021 | 30 | |
| 6 | 2021 | 26 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 22 | |
| 9 | 2023 | 15 | |
| 10 | 2022 | 15 | |
| 11 | 2017 | 11 | |
| 12 | 2021 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2020 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2025 | 4 |
About Xiaomeng Lei
Xiaomeng Lei is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Artificial Intelligence and Surgery, having authored 46 papers that have together received 461 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Renal cell carcinoma treatment (5 papers), AI in cancer detection (4 papers), Advanced X-ray and CT Imaging (3 papers), MRI in cancer diagnosis (3 papers), Digital Radiography and Breast Imaging (3 papers), Prostate Cancer Diagnosis and Treatment (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Health Informatics (18 citations), Radiology, Nuclear Medicine and Imaging (188 citations), Pulmonary and Respiratory Medicine (145 citations), Pharmaceutical Science (11 citations) and Biomedical Engineering (61 citations). Xiaomeng Lei has collaborated with scholars based in United States, Norway and China. Frequent co-authors include Steven Cen, Vinay Duddalwar, Bino Varghese, 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 European Radiology, Oncology, Journal of Applied Clinical Medical Physics, The Journal of Urology and British Journal of Radiology.
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.