Jie Wei
- Radiation top 5%
- Advanced Radiotherapy Techniques 18
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- Advanced Vision and Imaging 11
- Image Retrieval and Classification Techniques 7
- Medical Image Segmentation Techniques 6
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- Medical Imaging Techniques and Applications 9
- Radiomics and Machine Learning in Medical Imaging 9
- Media Technology top 10%
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- Lung Cancer Diagnosis and Treatment 11
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- Advanced Measurement and Detection Methods 7
- Co-authors
- Ze-Nian LiGuang LiMark S. DrewYong XiaYanning ZhangJames MechalakosJoseph O. DeasyAmy Yuan
- Journals
- Medical Physics (10 papers)Pattern Recognition Letters (5 papers)International Journal of Radiation Oncology*Biology*Physics (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jie Wei
61 papers receiving 543 citations
Peers
Comparison fields: 5 of 76
- Radiation 173
- Computer Vision and Pattern Recognition 235
- Radiology, Nuclear Medicine and Imaging 218
- Media Technology 54
- Orthopedics and Sports Medicine 32
Countries citing papers authored by Jie Wei
This map shows the geographic impact of Jie 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 Jie Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Wei more than expected).
Fields of papers citing papers by Jie Wei
This network shows the impact of papers produced by Jie 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 Jie Wei. The network helps show where Jie Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jie 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 17 | |
| 3 | 2021 | 18 | |
| 4 | 2019 | 3 | |
| 5 | 2018 | 6 | |
| 6 | 2018 | 5 | |
| 7 | 2017 | 30 | |
| 8 | 2017 | 2 | |
| 9 | 2017 | 6 | |
| 10 | 2016 | 39 | |
| 11 | 2016 | 13 | |
| 12 | 2016 | 18 | |
| 13 | 2016 | 11 | |
| 14 | 2015 | 12 | |
| 15 | 2015 | 17 | |
| 16 | 2015 | 2 | |
| 17 | 2014 | 4 | |
| 18 | 2014 | 18 | |
| 19 | 2014 | 17 | |
| 20 | 2012 | 1 |
About Jie Wei
Jie Wei is a scholar working on Radiation, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 66 papers that have together received 565 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (18 papers), Lung Cancer Diagnosis and Treatment (11 papers), Advanced Vision and Imaging (11 papers), Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced Measurement and Detection Methods (7 papers), Image Retrieval and Classification Techniques (7 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Radiation (173 citations), Computer Vision and Pattern Recognition (235 citations) and Radiology, Nuclear Medicine and Imaging (218 citations). Jie Wei has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ze-Nian Li, Guang Li, Mark S. Drew, Yong Xia, Yanning Zhang, James Mechalakos, Joseph O. Deasy, Amy Yuan, Hailiang Huang and Kristen L. Zakian. Their work appears in journals such as Medical Physics, Pattern Recognition Letters, International Journal of Radiation Oncology*Biology*Physics, Pattern Recognition and Journal of Bone and Mineral Research.
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.