Zekuan Yu
Impact in
- Health Informatics top 5%
-
- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 12
- Retinal Imaging and Analysis 11
-
- Advanced Neural Network Applications 10
- Medical Image Segmentation Techniques 9
- Co-authors
- Caixia Kou (4 shared papers)Shujin Zhu (3 shared papers)Yanye Lu (4 shared papers)Qiushi Ren (5 shared papers)Yinan Guo (4 shared papers)Zhi‐Ri Tang (5 shared papers)Jie Liu (8 shared papers)Qing Xiang (1 shared paper)
- Journals
- Computers in Biology and Medicine (4 papers)IEEE Journal of Biomedical and Health Informatics (3 papers)Expert Systems with Applications (3 papers)BioMedical Engineering OnLine (3 papers)Biomedical Signal Processing and Control (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Zekuan Yu
53 papers receiving 899 citations
Peers
Comparison fields: 5 of 110
- Health Informatics 29
- Radiology, Nuclear Medicine and Imaging 460
- Ophthalmology 137
- Computer Vision and Pattern Recognition 282
- Neurology 95
Countries citing papers authored by Zekuan Yu
This map shows the geographic impact of Zekuan Yu'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 Zekuan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zekuan Yu more than expected).
Fields of papers citing papers by Zekuan Yu
This network shows the impact of papers produced by Zekuan Yu. 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 Zekuan Yu. The network helps show where Zekuan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zekuan Yu, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 67 | |
| 2 | 2020 | 61 | |
| 3 | 2019 | 43 | |
| 4 | 2021 | 42 | |
| 5 | 2020 | 41 | |
| 6 | 2020 | 38 | |
| 7 | 2022 | 37 | |
| 8 | 2021 | 37 | |
| 9 | 2019 | 35 | |
| 10 | 2022 | 35 | |
| 11 | 2021 | 34 | |
| 12 | 2021 | 34 | |
| 13 | 2020 | 23 | |
| 14 | 2021 | 22 | |
| 15 | 2021 | 21 | |
| 16 | 2023 | 20 | |
| 17 | 2020 | 20 | |
| 18 | 2021 | 20 | |
| 19 | 2020 | 18 | |
| 20 | 2022 | 18 |
About Zekuan Yu
Zekuan Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology and Ophthalmology, having authored 63 papers that have together received 918 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Retinal Imaging and Analysis (11 papers), Advanced Neural Network Applications (10 papers), Brain Tumor Detection and Classification (9 papers), Medical Image Segmentation Techniques (9 papers), Advanced Image Fusion Techniques (5 papers), Biometric Identification and Security (4 papers) and Retinal Diseases and Treatments (4 papers). The work is most often cited by research in Health Informatics (29 citations), Radiology, Nuclear Medicine and Imaging (460 citations), Ophthalmology (137 citations), Computer Vision and Pattern Recognition (282 citations) and Neurology (95 citations). Zekuan Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Caixia Kou, Shujin Zhu, Yanye Lu, Qiushi Ren, Yinan Guo, Zhi‐Ri Tang, Jie Liu, Qing Xiang, Daoying Geng and Weifan Liu. Their work appears in journals such as Computers in Biology and Medicine, IEEE Journal of Biomedical and Health Informatics, Expert Systems with Applications, BioMedical Engineering OnLine and Biomedical Signal Processing and Control.
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.