Zehui Lin
Impact in
- Health Informatics top 10%
-
- Electromagnetic wave absorption materials
- Metamaterials and Metasurfaces Applications
Papers in
-
- AI in cancer detection 5
- Natural Language Processing Techniques 2
- Topic Modeling 2
-
- Ferroelectric and Piezoelectric Materials 2
- Co-authors
- Yang Zhao (1 shared paper)Kang Jiang (1 shared paper)Ji Liu (1 shared paper)Ming Peng (1 shared paper)Wei Peng (1 shared paper)Yongwen Tan (1 shared paper)Dong Ni (7 shared papers)Mingxuan Wang (2 shared papers)
- Journals
- Medical Image Analysis (5 papers)Seismological Research Letters (2 papers)Clinical Breast Cancer (1 paper)ACS Nano (1 paper)Journal of Non-Crystalline Solids (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Zehui Lin
18 papers receiving 629 citations
Peers
Comparison fields: 5 of 80
- Health Informatics 17
- Electronic, Optical and Magnetic Materials 175
- Artificial Intelligence 261
- Radiology, Nuclear Medicine and Imaging 139
- Computer Vision and Pattern Recognition 108
Countries citing papers authored by Zehui Lin
This map shows the geographic impact of Zehui Lin'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 Zehui Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zehui Lin more than expected).
Fields of papers citing papers by Zehui Lin
This network shows the impact of papers produced by Zehui Lin. 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 Zehui Lin. The network helps show where Zehui Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Zehui Lin, 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 | 2020 | 243 | |
| 2 | 2019 | 93 | |
| 3 | 2022 | 63 | |
| 4 | 2020 | 56 | |
| 5 | 2021 | 40 | |
| 6 | 2021 | 39 | |
| 7 | 2022 | 26 | |
| 8 | 2022 | 22 | |
| 9 | 2021 | 20 | |
| 10 | 2022 | 11 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 |
About Zehui Lin
Zehui Lin is a scholar working on Artificial Intelligence, Materials Chemistry, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Electrical and Electronic Engineering, having authored 18 papers that have together received 641 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Microwave Dielectric Ceramics Synthesis (3 papers), Natural Language Processing Techniques (2 papers), Ferroelectric and Piezoelectric Materials (2 papers), Seismic Waves and Analysis (2 papers), Multimodal Machine Learning Applications (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Health Informatics (17 citations), Electronic, Optical and Magnetic Materials (175 citations), Artificial Intelligence (261 citations), Radiology, Nuclear Medicine and Imaging (139 citations) and Computer Vision and Pattern Recognition (108 citations). Zehui Lin has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Yang Zhao, Kang Jiang, Ji Liu, Ming Peng, Wei Peng, Yongwen Tan, Dong Ni, Mingxuan Wang, Ruobing Huang and Xin Yang. Their work appears in journals such as Medical Image Analysis, Seismological Research Letters, Clinical Breast Cancer, ACS Nano and Journal of Non-Crystalline Solids.
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.