Jin Liu

336 papers and 3.4k indexed citations i.

About

Jin Liu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jin Liu has authored 336 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Artificial Intelligence, 69 papers in Electrical and Electronic Engineering and 63 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jin Liu’s work include Topic Modeling (24 papers), Natural Language Processing Techniques (20 papers) and Child and Adolescent Psychosocial and Emotional Development (14 papers). Jin Liu is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (20 papers) and Child and Adolescent Psychosocial and Emotional Development (14 papers). Jin Liu collaborates with scholars based in China, United States and Australia. Jin Liu's co-authors include Christine DiStefano, Ning Jiang, Dexin Shi, Xiaofeng Lin, Jin Wang, John C. Conboy, Ruochen Liu, Prashanta Dutta, Jing Liu and Yihe Yang and has published in prestigious journals such as Environmental Science & Technology, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

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

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Fields of papers citing papers by Jin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jin Liu

Since Specialization

Citations

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