Chuanqi Tan

38 papers and 1.4k indexed citations i.

About

Chuanqi Tan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Chuanqi Tan has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Chuanqi Tan’s work include Topic Modeling (34 papers), Natural Language Processing Techniques (30 papers) and Multimodal Machine Learning Applications (10 papers). Chuanqi Tan is often cited by papers focused on Topic Modeling (34 papers), Natural Language Processing Techniques (30 papers) and Multimodal Machine Learning Applications (10 papers). Chuanqi Tan collaborates with scholars based in China, United States and United Kingdom. Chuanqi Tan's co-authors include Ming Zhou, Furu Wei, Duyu Tang, Ke Xu, Li Dong, Fei Huang, Ningyu Zhang, Huajun Chen, Songfang Huang and Shumin Deng and has published in prestigious journals such as ACM Computing Surveys, Knowledge-Based Systems and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Co-authorship network of co-authors of Chuanqi Tan i

Fields of papers citing papers by Chuanqi Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chuanqi Tan

Since Specialization
Citations

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