Jinchi Wei
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Retinal Imaging and Analysis
Papers in
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- Retinal Imaging and Analysis 3
- Radiomics and Machine Learning in Medical Imaging 2
- Advanced MRI Techniques and Applications 2
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- Advanced biosensing and bioanalysis techniques 2
- Glutathione Transferases and Polymorphisms 1
- Co-authors
- Paul H. Yi (12 shared papers)Gregory D. Hager (7 shared papers)Haris I. Sair (6 shared papers)Ferdinand Hui (8 shared papers)Tae Kyung Kim (5 shared papers)Jan Fritz (5 shared papers)Julius K. Oni (1 shared paper)Jiwon Shin (2 shared papers)
- Journals
- Emergency Radiology (2 papers)Journal of Digital Imaging (2 papers)Skeletal Radiology (2 papers)The Knee (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Jinchi Wei
20 papers receiving 324 citations
Peers
Comparison fields: 5 of 64
- Health Informatics 76
- Radiology, Nuclear Medicine and Imaging 111
- Ophthalmology 33
- Family Practice 3
- Surgery 64
Countries citing papers authored by Jinchi Wei
This map shows the geographic impact of Jinchi Wei'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 Jinchi Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinchi Wei more than expected).
Fields of papers citing papers by Jinchi Wei
This network shows the impact of papers produced by Jinchi Wei. 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 Jinchi Wei. The network helps show where Jinchi Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinchi Wei, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 63 | |
| 2 | 2020 | 43 | |
| 3 | 2019 | 34 | |
| 4 | 2019 | 30 | |
| 5 | 2019 | 26 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 21 | |
| 8 | 2019 | 21 | |
| 9 | 2007 | 16 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 5 | |
| 15 | 2022 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2007 | 1 |
About Jinchi Wei
Jinchi Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biomedical Engineering, Surgery and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 329 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Graphene and Nanomaterials Applications (2 papers), Advanced MRI Techniques and Applications (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Glutathione Transferases and Polymorphisms (1 paper), Medical Image Segmentation Techniques (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Health Informatics (76 citations), Radiology, Nuclear Medicine and Imaging (111 citations), Ophthalmology (33 citations), Family Practice (3 citations) and Surgery (64 citations). Jinchi Wei has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Paul H. Yi, Gregory D. Hager, Haris I. Sair, Ferdinand Hui, Tae Kyung Kim, Jan Fritz, Julius K. Oni, Jiwon Shin, Cheng Ting Lin and Xinning Li. Their work appears in journals such as Emergency Radiology, Journal of Digital Imaging, Skeletal Radiology, The Knee and Advanced Functional Materials.
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.