Jing Mei

41 papers and 237 indexed citations i.

About

Jing Mei is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Jing Mei has authored 41 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Molecular Biology and 10 papers in Health Information Management. Recurrent topics in Jing Mei’s work include Machine Learning in Healthcare (11 papers), Biomedical Text Mining and Ontologies (10 papers) and Semantic Web and Ontologies (7 papers). Jing Mei is often cited by papers focused on Machine Learning in Healthcare (11 papers), Biomedical Text Mining and Ontologies (10 papers) and Semantic Web and Ontologies (7 papers). Jing Mei collaborates with scholars based in China, United States and Canada. Jing Mei's co-authors include Pengwei Hu, Zhaomeng Niu, Tingting Wang, Guotong Xie, Haifeng Liu, Harold Boley, Xuejun Li, Bibo Hao, Shaochun Li and Yanfei Wang and has published in prestigious journals such as Journal of Medicinal Chemistry, European Journal of Pharmacology and Aquaculture.

In The Last Decade

Co-authorship network of co-authors of Jing Mei i

Fields of papers citing papers by Jing Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Jing Mei

Since Specialization
Citations

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).

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.

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2025