Zengchen Yu
Impact in
- Health Informatics top 10%
-
- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare 4
-
- Machine Learning in Healthcare 3
- Machine Learning and ELM 1
- Co-authors
- Zhihan Lv (8 shared papers)Shuxuan Xie (7 shared papers)Zhibo Wan (5 shared papers)Youqiang Dong (1 shared paper)Haibin Lv (1 shared paper)Syed Umar Amin (1 shared paper)Musaed Alhussein (1 shared paper)Atif Alamri (1 shared paper)
- Journals
- Computer Modeling in Engineering & Sciences (2 papers)Applied Sciences (1 paper)Frontiers in Neuroscience (1 paper)IEEE Access (1 paper)IEEE Consumer Electronics Magazine (1 paper)
- Partner nations
- ChinaSwedenSaudi Arabia
In The Last Decade
Zengchen Yu
9 papers receiving 459 citations
Peers
Comparison fields: 5 of 126
- Health Informatics 20
- Health Information Management 57
- Radiology, Nuclear Medicine and Imaging 121
- Neurology 37
- Artificial Intelligence 128
Countries citing papers authored by Zengchen Yu
This map shows the geographic impact of Zengchen 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 Zengchen Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zengchen Yu more than expected).
Fields of papers citing papers by Zengchen Yu
This network shows the impact of papers produced by Zengchen 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 Zengchen Yu. The network helps show where Zengchen Yu may publish in the future.
Co-authors
The 19 scholars most cited alongside Zengchen 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 122 | |
| 2 | 2021 | 110 | |
| 3 | 2021 | 73 | |
| 4 | 2022 | 68 | |
| 5 | 2022 | 64 | |
| 6 | 2021 | 29 | |
| 7 | 2022 | 11 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 0 |
About Zengchen Yu
Zengchen Yu is a scholar working on Health Information Management, Artificial Intelligence, Neurology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 491 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Brain Tumor Detection and Classification (4 papers), Machine Learning in Healthcare (3 papers), Industrial Vision Systems and Defect Detection (2 papers), Advanced Neural Network Applications (2 papers), Machine Learning and ELM (1 paper), COVID-19 diagnosis using AI (1 paper) and Advanced Technology in Applications (1 paper). The work is most often cited by research in Health Informatics (20 citations), Health Information Management (57 citations), Radiology, Nuclear Medicine and Imaging (121 citations), Neurology (37 citations) and Artificial Intelligence (128 citations). Zengchen Yu has collaborated with scholars based in China, Sweden and Saudi Arabia. Frequent co-authors include Zhihan Lv, Shuxuan Xie, Zhibo Wan, Youqiang Dong, Haibin Lv, Syed Umar Amin, Musaed Alhussein, Atif Alamri, Ke Wang and Sibo Qiao. Their work appears in journals such as Computer Modeling in Engineering & Sciences, Applied Sciences, Frontiers in Neuroscience, IEEE Access and IEEE Consumer Electronics Magazine.
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.