Zeqi Tan

12 papers and 216 indexed citations i.

About

Zeqi Tan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Zeqi Tan has authored 12 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 2 papers in Computational Theory and Mathematics and 2 papers in Management Science and Operations Research. Recurrent topics in Zeqi Tan’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Zeqi Tan is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (10 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Zeqi Tan collaborates with scholars based in China, United States and Cayman Islands. Zeqi Tan's co-authors include Yongliang Shen, Weiming Lü, Shuai Zhang, Wen Wang, Xinyin Ma, Shuai Zhang, Yueting Zhuang, Weiming Lü, Yiquan Wu and Pengjun Xie 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 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

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

Fields of papers citing papers by Zeqi Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zeqi Tan

Since Specialization
Citations

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