Zhen Yu
Impact in
- Health Informatics top 10%
- Building and Construction top 5%
- Structural Behavior of Reinforced Concrete
Papers in
-
- AI in cancer detection 7
- Co-authors
- Zhou Yu (1 shared paper)Baiying Lei (8 shared papers)Jun He (1 shared paper)Yuqing Liu (1 shared paper)Yaoxin Zhang (8 shared papers)Swee Ching Tan (5 shared papers)Jing Qin (3 shared papers)Tianfu Wang (4 shared papers)
In The Last Decade
Zhen Yu
84 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 139
- Health Informatics 18
- Building and Construction 172
- Surfaces, Coatings and Films 78
- Civil and Structural Engineering 196
- Artificial Intelligence 226
Countries citing papers authored by Zhen Yu
This map shows the geographic impact of Zhen 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 Zhen Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Yu more than expected).
Fields of papers citing papers by Zhen Yu
This network shows the impact of papers produced by Zhen 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 Zhen Yu. The network helps show where Zhen Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhen 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CARBON STORAGE AND BUDGET OF MAJOR CHINESE FOREST TYPES | 2000 | 153 |
| 2 | 2022 | 146 | |
| 3 | 2012 | 144 | |
| 4 | 2018 | 87 | |
| 5 | 2017 | 83 | |
| 6 | 2021 | 41 | |
| 7 | 2020 | 40 | |
| 8 | 2017 | 40 | |
| 9 | 2022 | 37 | |
| 10 | 2022 | 37 | |
| 11 | 2024 | 33 | |
| 12 | 2023 | 32 | |
| 13 | 2023 | 30 | |
| 14 | 2005 | 22 | |
| 15 | 2025 | 18 | |
| 16 | 2025 | 18 | |
| 17 | 2023 | 18 | |
| 18 | 2020 | 18 | |
| 19 | 2025 | 17 | |
| 20 | 2022 | 17 |
About Zhen Yu
Zhen Yu is a scholar working on Artificial Intelligence, Mechanical Engineering, Materials Chemistry, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 98 papers that have together received 1.4k indexed citations. Recurring topics across this work include Titanium Alloys Microstructure and Properties (8 papers), AI in cancer detection (7 papers), Cutaneous Melanoma Detection and Management (6 papers), Solar-Powered Water Purification Methods (5 papers), Orthopaedic implants and arthroplasty (5 papers), Distributed systems and fault tolerance (5 papers), Parallel Computing and Optimization Techniques (4 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Health Informatics (18 citations), Building and Construction (172 citations), Surfaces, Coatings and Films (78 citations), Civil and Structural Engineering (196 citations) and Artificial Intelligence (226 citations). Zhen Yu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Zhou Yu, Baiying Lei, Jun He, Yuqing Liu, Yaoxin Zhang, Swee Ching Tan, Jing Qin, Tianfu Wang, Dong Ni and Siping Chen. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Medical Internet Research, Sustainability, SAE technical papers on CD-ROM/SAE technical paper series and npj Digital Medicine.
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.