Weibo Chen
Impact in
-
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Medical Imaging Techniques and Applications
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
Papers in
-
- MRI in cancer diagnosis 35
- Advanced MRI Techniques and Applications 31
- Advanced Neuroimaging Techniques and Applications 28
- Radiomics and Machine Learning in Medical Imaging 14
- Co-authors
- Guangbin WangQueenie ChanChengyan WangFei GaoRichard A.E. EddenJian HeZhengyang ZhouDechun Zheng
- Journals
- Journal of Magnetic Resonance Imaging (19 papers)European Radiology (11 papers)Scientific Reports (6 papers)Journal of Computer Assisted Tomography (3 papers)NMR in Biomedicine (3 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Weibo Chen
104 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 155
- Radiology, Nuclear Medicine and Imaging 899
- Otorhinolaryngology 96
- Hepatology 123
- Sensory Systems 71
- Neurology 119
Countries citing papers authored by Weibo Chen
This map shows the geographic impact of Weibo 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 Weibo Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weibo Chen more than expected).
Fields of papers citing papers by Weibo Chen
This network shows the impact of papers produced by Weibo 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 Weibo Chen. The network helps show where Weibo Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weibo 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 25 | |
| 12 | 2020 | 31 | |
| 13 | 2019 | 34 | |
| 14 | 2018 | 23 | |
| 15 | 2018 | 4 | |
| 16 | 2017 | 36 | |
| 17 | 2017 | 20 | |
| 18 | 2016 | 24 | |
| 19 | 2016 | 45 | |
| 20 | 2016 | 2 |
About Weibo Chen
Weibo Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Hepatology, Obstetrics and Gynecology and Orthopedics and Sports Medicine, having authored 109 papers that have together received 1.8k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (35 papers), Advanced MRI Techniques and Applications (31 papers), Advanced Neuroimaging Techniques and Applications (28 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Liver Disease Diagnosis and Treatment (10 papers), Salivary Gland Disorders and Functions (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Bone and Joint Diseases (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (899 citations), Otorhinolaryngology (96 citations), Hepatology (123 citations), Sensory Systems (71 citations) and Neurology (119 citations). Weibo Chen has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Guangbin Wang, Queenie Chan, Chengyan Wang, Fei Gao, Richard A.E. Edden, Jian He, Zhengyang Zhou, Dechun Zheng, Bin Zhao and Yunbin Chen. Their work appears in journals such as Journal of Magnetic Resonance Imaging, European Radiology, Scientific Reports, Journal of Computer Assisted Tomography and NMR in Biomedicine.
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.