Ke Mei
Impact in
-
- AI in cancer detection
Papers in
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- AI in cancer detection 3
- Co-authors
- Chuang Zhu (3 shared papers)Jun Liu (3 shared papers)Bao Dong (1 shared paper)Hongxia Shi (1 shared paper)Lei Jiang (1 shared paper)Li Zuo (1 shared paper)Wenkai Chen (1 shared paper)Gongwei Wang (1 shared paper)
- Journals
- Carbohydrate Research (1 paper)Environmental Research (1 paper)American Journal Of Pathology (1 paper)Neurocomputing (1 paper)Sensors (1 paper)
- Partner nations
- China
In The Last Decade
Ke Mei
15 papers receiving 115 citations
Peers
Comparison fields: 5 of 39
- Health Informatics 3
- Artificial Intelligence 54
- Radiology, Nuclear Medicine and Imaging 28
- Computer Vision and Pattern Recognition 25
- Biophysics 6
Countries citing papers authored by Ke Mei
This map shows the geographic impact of Ke 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 Ke Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Mei more than expected).
Fields of papers citing papers by Ke Mei
This network shows the impact of papers produced by Ke 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 Ke Mei. The network helps show where Ke Mei may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Mei, 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 | 50 | |
| 2 | 2021 | 20 | |
| 3 | 2022 | 11 | |
| 4 | 2020 | 9 | |
| 5 | 2020 | 7 | |
| 6 | 2022 | 3 | |
| 7 | 2025 | 3 | |
| 8 | 2020 | 3 | |
| 9 | 2025 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2020 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | Steganalysis for MP3 based on modified Markov and joint density features | 2012 | 1 |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Ke Mei
Ke Mei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Inorganic Chemistry and Civil and Structural Engineering, having authored 19 papers that have together received 118 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (3 papers), AI in cancer detection (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Colorectal Cancer Screening and Detection (2 papers), Music and Audio Processing (2 papers), Nanoplatforms for cancer theranostics (2 papers), Cancer-related molecular mechanisms research (2 papers) and Engineering Diagnostics and Reliability (1 paper). The work is most often cited by research in Health Informatics (3 citations), Artificial Intelligence (54 citations), Radiology, Nuclear Medicine and Imaging (28 citations), Computer Vision and Pattern Recognition (25 citations) and Biophysics (6 citations). Ke Mei has collaborated with scholars based in China. Frequent co-authors include Chuang Zhu, Jun Liu, Bao Dong, Hongxia Shi, Lei Jiang, Li Zuo, Wenkai Chen, Gongwei Wang, Mulan Jin and Ying Wang. Their work appears in journals such as Carbohydrate Research, Environmental Research, American Journal Of Pathology, Neurocomputing and Sensors.
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.