Ke Mei
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Cancer Research
- Molecular Biology
- Co-authors
- Chuang ZhuJun LiuBao DongLei JiangLi ZuoWenkai ChenGongwei WangHongxia Shi
- Topics
- Metal-Organic Frameworks: Synthesis and Applications (3 papers)AI in cancer detection (3 papers)Colorectal Cancer Screening and Detection (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceLangmuirAmerican Journal Of Pathology
- Partner nations
- China
In The Last Decade
Ke Mei
15 papers receiving 108 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 52
- Radiology, Nuclear Medicine and Imaging 35
- Computer Vision and Pattern Recognition 29
- Cancer Research 15
- Molecular Biology 14
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-authorship network of co-authors of Ke Mei
This figure shows the co-authorship network connecting the top 25 collaborators of Ke Mei. A scholar is included among the top collaborators of Ke 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 Ke Mei. Ke 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 46 | |
| 13 | 19 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 9 | |
| 20 | Steganalysis for MP3 based on modified Markov and joint density features | 1 |
About Ke Mei
Ke Mei is a scholar working on Music, Computer Vision and Pattern Recognition and Inorganic Chemistry, having authored 21 papers that have together received 110 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (3 papers), AI in cancer detection (3 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Health Informatics (4 citations), Artificial Intelligence (52 citations) and Radiology, Nuclear Medicine and Imaging (35 citations). Ke Mei has collaborated with scholars based in China. Frequent co-authors include Chuang Zhu, Jun Liu, Bao Dong, Lei Jiang, Li Zuo, Wenkai Chen, Gongwei Wang, Hongxia Shi, Xinyi Liu and Ting Peng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Langmuir and American Journal Of Pathology.
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.