Xisen Jin

7 papers and 345 indexed citations i.

About

Xisen Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Xisen Jin has authored 7 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in Xisen Jin’s work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Multimodal Machine Learning Applications (2 papers). Xisen Jin is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Multimodal Machine Learning Applications (2 papers). Xisen Jin collaborates with scholars based in United States, China and Canada. Xisen Jin's co-authors include Xiang Ren, Woojeong Jin, Meng Qu, Zhaochun Ren, Xiangnan He, Dawei Yin, Wenqiang Lei, Min‐Yen Kan, Leonardo Neves and Francesco Barbieri and has published in prestigious journals such as Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

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

Fields of papers citing papers by Xisen Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xisen Jin

Since Specialization
Citations

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