Jin Mao

49 papers and 449 indexed citations i.

About

Jin Mao is a scholar working on Artificial Intelligence, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Jin Mao has authored 49 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Molecular Biology and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Jin Mao’s work include Biomedical Text Mining and Ontologies (11 papers), Topic Modeling (11 papers) and scientometrics and bibliometrics research (10 papers). Jin Mao is often cited by papers focused on Biomedical Text Mining and Ontologies (11 papers), Topic Modeling (11 papers) and scientometrics and bibliometrics research (10 papers). Jin Mao collaborates with scholars based in China, United States and Hong Kong. Jin Mao's co-authors include Kun Lü, Gang Li, Zhichao Ba, Sijing Chen, Shiyun Wang, Lu Xiao, Gang Li, Gang Li, Yujie Cao and Ming Yi and has published in prestigious journals such as BMC Bioinformatics, Technological Forecasting and Social Change and Scientometrics.

In The Last Decade

Co-authorship network of co-authors of Jin Mao i

Fields of papers citing papers by Jin Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Mao

Since Specialization
Citations

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