Jinchi Wei
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Retinal Imaging and Analysis
Papers in
-
- COVID-19 diagnosis using AI 5
- Retinal Imaging and Analysis 3
- Advanced MRI Techniques and Applications 2
- Surgery 7
- Orthopedic Infections and Treatments 6
- Total Knee Arthroplasty Outcomes 2
- 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
- Journal of Digital Imaging (2 papers)Emergency Radiology (2 papers)Skeletal Radiology (2 papers)Ophthalmology Retina (1 paper)The Knee (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Jinchi Wei
19 papers receiving 312 citations
Peers
Comparison fields: 5 of 72
- Health Informatics 99
- Radiology, Nuclear Medicine and Imaging 144
- Ophthalmology 44
- Family Practice 6
- Surgery 90
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 61 | |
| 2 | 2020 | 41 | |
| 3 | 2019 | 34 | |
| 4 | 2019 | 28 | |
| 5 | 2019 | 25 | |
| 6 | 2021 | 22 | |
| 7 | 2019 | 21 | |
| 8 | 2021 | 19 | |
| 9 | 2007 | 16 | |
| 10 | 2019 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 4 | |
| 15 | 2022 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2007 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2023 | 0 |
About Jinchi Wei
Jinchi Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology, Health Informatics and Biomedical Engineering, having authored 22 papers that have together received 316 indexed citations. Recurring topics across this work include Orthopedic Infections and Treatments (6 papers), COVID-19 diagnosis using AI (5 papers), Artificial Intelligence in Healthcare and Education (5 papers), Retinal Imaging and Analysis (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Glaucoma and retinal disorders (2 papers), Advanced MRI Techniques and Applications (2 papers) and Total Knee Arthroplasty Outcomes (2 papers). The work is most often cited by research in Health Informatics (99 citations), Radiology, Nuclear Medicine and Imaging (144 citations), Ophthalmology (44 citations), Family Practice (6 citations) and Surgery (90 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, Xinning Li and Cheng Ting Lin. Their work appears in journals such as Journal of Digital Imaging, Emergency Radiology, Skeletal Radiology, Ophthalmology Retina and The Knee.
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.