Jing Mei
- Artificial Intelligence top 10%
- Social Psychology top 10%
- Health Information Management top 2%
- Molecular Biology
- Experimental and Cognitive Psychology
- Topics
- Machine Learning in Healthcare (14 papers)Biomedical Text Mining and Ontologies (11 papers)Semantic Web and Ontologies (10 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jing Mei
51 papers receiving 420 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 200
- Social Psychology 103
- Health Information Management 72
- Molecular Biology 62
- Experimental and Cognitive Psychology 58
Countries citing papers authored by Jing Mei
This map shows the geographic impact of Jing 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 Jing Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Mei more than expected).
Fields of papers citing papers by Jing Mei
This network shows the impact of papers produced by Jing 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 Jing Mei. The network helps show where Jing Mei may publish in the future.
Co-authorship network of co-authors of Jing Mei
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Mei. A scholar is included among the top collaborators of Jing 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 Jing Mei. Jing 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 | 2 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 7 | |
| 12 | 34 | |
| 13 | 13 | |
| 14 | 8 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | UMRR: towards an enterprise-wide web of models | 2 |
About Jing Mei
Jing Mei is a scholar working on Health Information Management, Computational Mathematics and Artificial Intelligence, having authored 58 papers that have together received 434 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (14 papers), Biomedical Text Mining and Ontologies (11 papers) and Semantic Web and Ontologies (10 papers). The work is most often cited by research in Health Information Management (72 citations), Computational Mathematics (8 citations) and Applied Psychology (54 citations). Jing Mei has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Pengwei Hu, Shaochun Li, Hui Su, Chenhao Lin, Henry W. C. Leung, Jie Zhou, Harold Boley, Zhaomeng Niu, Guotong Xie and Tingting Wang. Their work appears in journals such as Journal of Medicinal Chemistry, Aquaculture and European Journal of Pharmacology.
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.