Linmin Pei
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
Papers in
-
- Brain Tumor Detection and Classification 9
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- Medical Image Segmentation Techniques 5
- Advanced Neural Network Applications 2
- Co-authors
- Khan M. Iftekharuddin (7 shared papers)Lasitha Vidyaratne (3 shared papers)Syed M. S. Reza (3 shared papers)Christos Davatzikos (2 shared papers)James Y. Chen (1 shared paper)Karra A. Jones (1 shared paper)Spyridon Bakas (1 shared paper)Arastoo Vossough (1 shared paper)
- Journals
- Scientific Reports (3 papers)Scientific Data (2 papers)Frontiers in Oncology (1 paper)Biomedical Signal Processing and Control (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Linmin Pei
11 papers receiving 312 citations
Peers
Comparison fields: 5 of 39
- Neurology 180
- Health Informatics 10
- Computer Vision and Pattern Recognition 128
- Radiology, Nuclear Medicine and Imaging 119
- Genetics 43
Countries citing papers authored by Linmin Pei
This map shows the geographic impact of Linmin Pei'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 Linmin Pei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linmin Pei more than expected).
Fields of papers citing papers by Linmin Pei
This network shows the impact of papers produced by Linmin Pei. 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 Linmin Pei. The network helps show where Linmin Pei may publish in the future.
Co-authors
The 21 scholars most cited alongside Linmin Pei, 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 | 2020 | 100 | |
| 2 | 2019 | 49 | |
| 3 | 2021 | 45 | |
| 4 | 2019 | 43 | |
| 5 | 2022 | 33 | |
| 6 | 2022 | 20 | |
| 7 | 2017 | 17 | |
| 8 | 2015 | 6 | |
| 9 | 2024 | 3 | |
| 10 | 2020 | 3 | |
| 11 | 2025 | 1 |
About Linmin Pei
Linmin Pei is a scholar working on Neurology, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biomedical Engineering, having authored 11 papers that have together received 320 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Image Segmentation Techniques (5 papers), AI in cancer detection (3 papers), Advanced Neural Network Applications (2 papers), Cell Image Analysis Techniques (2 papers), Medical Imaging and Analysis (2 papers) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Neurology (180 citations), Health Informatics (10 citations), Computer Vision and Pattern Recognition (128 citations), Radiology, Nuclear Medicine and Imaging (119 citations) and Genetics (43 citations). Linmin Pei has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Khan M. Iftekharuddin, Lasitha Vidyaratne, Syed M. S. Reza, Christos Davatzikos, James Y. Chen, Karra A. Jones, Spyridon Bakas, Arastoo Vossough, Mahbubul Alam and Rivka R. Colen. Their work appears in journals such as Scientific Reports, Scientific Data, Frontiers in Oncology, Biomedical Signal Processing and Control and Frontiers in Neuroscience.
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.