Zhijing Jin

26 papers and 663 indexed citations i.

About

Zhijing Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Zhijing Jin has authored 26 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Sociology and Political Science. Recurrent topics in Zhijing Jin’s work include Topic Modeling (14 papers), Natural Language Processing Techniques (11 papers) and Advanced Text Analysis Techniques (4 papers). Zhijing Jin is often cited by papers focused on Topic Modeling (14 papers), Natural Language Processing Techniques (11 papers) and Advanced Text Analysis Techniques (4 papers). Zhijing Jin collaborates with scholars based in United States, Switzerland and Germany. Zhijing Jin's co-authors include Di Jin, Peter Szolovits, Joey Tianyi Zhou, Rada Mihalcea, Olga Vechtomova, Zhiting Hu, Enrico Santus, Mrinmaya Sachan, Yujie Qian and Jonas Mueller and has published in prestigious journals such as Journal of Pain and Symptom Management, Nature Human Behaviour and Computational Linguistics.

In The Last Decade

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

Fields of papers citing papers by Zhijing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zhijing Jin

Since Specialization
Citations

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