Joy Chen
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Neurology top 2%
- Brain Tumor Detection and Classification
Papers in
- Surgery 10
- Transplantation: Methods and Outcomes 8
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- Historical Economic and Social Studies 3
- Taxation and Compliance Studies 3
- COVID-19 Pandemic Impacts 3
- Co-authors
- Xiaopeng Zhang (1 shared paper)Yueyue Wang (1 shared paper)Qi Tian (1 shared paper)Dongsheng Jiang (1 shared paper)Hu Cao (1 shared paper)Manning Wang (1 shared paper)Dean W. Felsher (4 shared papers)Jinlin Li (3 shared papers)
- Journals
- American Journal of Otolaryngology (2 papers)Blood (1 paper)American Journal of Transplantation (1 paper)China Economic Review (1 paper)Anesthesia & Analgesia (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Joy Chen
40 papers receiving 2.6k citations
Joy Chen's Hit Papers
Peers
Comparison fields: 5 of 166
- Computer Vision and Pattern Recognition 1.0k
- Neurology 312
- Radiology, Nuclear Medicine and Imaging 566
- Media Technology 240
- Artificial Intelligence 532
Countries citing papers authored by Joy Chen
This map shows the geographic impact of Joy Chen'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 Joy Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy Chen more than expected).
Fields of papers citing papers by Joy Chen
This network shows the impact of papers produced by Joy Chen. 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 Joy Chen. The network helps show where Joy Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Joy Chen, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation Hit paper breakdown → | 2023 | 1998 |
| 2 | 2012 | 80 | |
| 3 | 2008 | 76 | |
| 4 | 2007 | 48 | |
| 5 | 2008 | 44 | |
| 6 | 2022 | 39 | |
| 7 | 2008 | 36 | |
| 8 | 2011 | 35 | |
| 9 | 2023 | 29 | |
| 10 | 2020 | 25 | |
| 11 | 2013 | 25 | |
| 12 | 2015 | 24 | |
| 13 | 2020 | 21 | |
| 14 | 2020 | 18 | |
| 15 | 2021 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2008 | 14 | |
| 18 | 2019 | 12 | |
| 19 | 2020 | 10 | |
| 20 | 2020 | 10 |
About Joy Chen
Joy Chen is a scholar working on Surgery, Economics and Econometrics, Sociology and Political Science, Pulmonary and Respiratory Medicine and Oncology, having authored 42 papers that have together received 2.6k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (8 papers), Historical Economic and Social Studies (3 papers), Culture, Economy, and Development Studies (3 papers), Taxation and Compliance Studies (3 papers), COVID-19 Pandemic Impacts (3 papers), Corruption and Economic Development (2 papers), Tracheal and airway disorders (2 papers) and Anesthesia and Sedative Agents (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Neurology (312 citations), Radiology, Nuclear Medicine and Imaging (566 citations), Media Technology (240 citations) and Artificial Intelligence (532 citations). Joy Chen has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Xiaopeng Zhang, Yueyue Wang, Qi Tian, Dongsheng Jiang, Hu Cao, Manning Wang, Dean W. Felsher, Jinlin Li, Phuoc T. Tran and Alice C. Fan. Their work appears in journals such as American Journal of Otolaryngology, Blood, American Journal of Transplantation, China Economic Review and Anesthesia & Analgesia.
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.