Meijing Li

19 papers and 184 indexed citations i.

About

Meijing Li is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Meijing Li has authored 19 papers receiving a total of 184 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Artificial Intelligence and 3 papers in Oncology. Recurrent topics in Meijing Li’s work include Biomedical Text Mining and Ontologies (6 papers), Topic Modeling (4 papers) and Peptidase Inhibition and Analysis (3 papers). Meijing Li is often cited by papers focused on Biomedical Text Mining and Ontologies (6 papers), Topic Modeling (4 papers) and Peptidase Inhibition and Analysis (3 papers). Meijing Li collaborates with scholars based in China, South Korea and Vietnam. Meijing Li's co-authors include Keun Ho Ryu, Tsendsuren Munkhdalai, Lkhagvadorj Munkhdalai, Khuyagbaatar Batsuren, Qi Dai, Lei Chen, Yujuan Han, Jun Yao, Qiu-Wen Wang and Yi Zheng and has published in prestigious journals such as Scientific Reports, Acta Biomaterialia and Cell Reports.

In The Last Decade

Co-authorship network of co-authors of Meijing Li i

Fields of papers citing papers by Meijing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meijing Li. 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 Meijing Li. The network helps show where Meijing Li may publish in the future.

Countries citing papers authored by Meijing Li

Since Specialization
Citations

This map shows the geographic impact of Meijing Li'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 Meijing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meijing Li 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