Zhaolin Chen
Impact in
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- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Neurology top 5%
Papers in
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- Advanced MRI Techniques and Applications 43
- Medical Imaging Techniques and Applications 37
- Advanced Neuroimaging Techniques and Applications 13
- Radiomics and Machine Learning in Medical Imaging 10
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- Acoustic Wave Phenomena Research 13
- Co-authors
- Gary F. Egan (53 shared papers)Munawar Hayat (4 shared papers)Mehrtash Harandi (9 shared papers)Kamlesh Pawar (14 shared papers)Zhichun Yang (13 shared papers)Himashi Peiris (7 shared papers)Hongtao Zhang (3 shared papers)Sharna D. Jamadar (13 shared papers)
In The Last Decade
Zhaolin Chen
141 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 156
- Radiology, Nuclear Medicine and Imaging 676
- Neurology 199
- Biomedical Engineering 927
- Water Science and Technology 288
- Computer Vision and Pattern Recognition 372
Countries citing papers authored by Zhaolin Chen
This map shows the geographic impact of Zhaolin 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 Zhaolin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaolin Chen more than expected).
Fields of papers citing papers by Zhaolin Chen
This network shows the impact of papers produced by Zhaolin 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 Zhaolin Chen. The network helps show where Zhaolin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhaolin 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 150 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 151 | |
| 2 | 2022 | 148 | |
| 3 | 2010 | 145 | |
| 4 | 2022 | 115 | |
| 5 | 2020 | 103 | |
| 6 | 2023 | 100 | |
| 7 | 2018 | 94 | |
| 8 | 2020 | 87 | |
| 9 | 2020 | 80 | |
| 10 | 2018 | 78 | |
| 11 | 2023 | 68 | |
| 12 | 2015 | 59 | |
| 13 | 2021 | 56 | |
| 14 | 2022 | 54 | |
| 15 | 2023 | 54 | |
| 16 | 2019 | 52 | |
| 17 | 2021 | 52 | |
| 18 | 2018 | 50 | |
| 19 | 2023 | 46 | |
| 20 | 2018 | 46 |
About Zhaolin Chen
Zhaolin Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Computational Mechanics and Mechanical Engineering, having authored 150 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (43 papers), Medical Imaging Techniques and Applications (37 papers), Medical Image Segmentation Techniques (14 papers), Acoustic Wave Phenomena Research (13 papers), Advanced Neuroimaging Techniques and Applications (13 papers), Advanced Neural Network Applications (12 papers), Functional Brain Connectivity Studies (10 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (676 citations), Neurology (199 citations), Biomedical Engineering (927 citations), Water Science and Technology (288 citations) and Computer Vision and Pattern Recognition (372 citations). Zhaolin Chen has collaborated with scholars based in Australia, China and Germany. Frequent co-authors include Gary F. Egan, Munawar Hayat, Mehrtash Harandi, Kamlesh Pawar, Zhichun Yang, Himashi Peiris, Hongtao Zhang, Sharna D. Jamadar, N. Jon Shah and Liyun Cao. Their work appears in journals such as NeuroImage, Thin-Walled Structures, Desalination, Medical Image Analysis and Applied Mathematical Modelling.
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.