Zihan Mei
- Biomedical Engineering
- Materials Chemistry
- Radiology, Nuclear Medicine and Imaging
- Artificial Intelligence top 10%
- Inorganic Chemistry top 10%
- Co-authors
- David Fairen‐JiménezSalame HaddadEmily LinnaneFrancesca MelleJianqiao ZhouYijie DongWenwen XuZehui Lin
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)AI in cancer detection (4 papers)Artificial Intelligence in Healthcare and Education (3 papers)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Zihan Mei
17 papers receiving 474 citations
Peers
Comparison fields: 5 of 101
- Biomedical Engineering 188
- Materials Chemistry 125
- Radiology, Nuclear Medicine and Imaging 107
- Artificial Intelligence 104
- Inorganic Chemistry 94
Countries citing papers authored by Zihan Mei
This map shows the geographic impact of Zihan Mei'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 Zihan Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zihan Mei more than expected).
Fields of papers citing papers by Zihan Mei
This network shows the impact of papers produced by Zihan Mei. 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 Zihan Mei. The network helps show where Zihan Mei may publish in the future.
Co-authorship network of co-authors of Zihan Mei
This figure shows the co-authorship network connecting the top 25 collaborators of Zihan Mei. A scholar is included among the top collaborators of Zihan Mei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zihan Mei. Zihan Mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 19 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 151 | |
| 12 | 20 | |
| 13 | 61 | |
| 14 | 39 | |
| 15 | 6 | |
| 16 | 40 | |
| 17 | 19 | |
| 18 | 93 | |
| 19 | 3 |
About Zihan Mei
Zihan Mei is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 19 papers that have together received 478 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), AI in cancer detection (4 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Health Informatics (28 citations), Inorganic Chemistry (94 citations) and Radiology, Nuclear Medicine and Imaging (107 citations). Zihan Mei has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include David Fairen‐Jiménez, Salame Haddad, Emily Linnane, Francesca Melle, Jianqiao Zhou, Yijie Dong, Jianqiao Zhou, Wenwen Xu, Zehui Lin and Xin Yang. Their work appears in journals such as Chemical Society Reviews, Biomaterials and Advanced Science.
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.