Qijun Tan

About

Qijun Tan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences. According to data from OpenAlex, Qijun Tan has authored 5 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in General Social Sciences. Recurrent topics in Qijun Tan’s work include Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (2 papers). Qijun Tan is often cited by papers focused on Natural Language Processing Techniques (5 papers), Topic Modeling (5 papers) and Multimodal Machine Learning Applications (2 papers). Qijun Tan collaborates with scholars based in United States and Germany. Qijun Tan's co-authors include David Grangier, Wolfgang Macherey, Viresh Ratnakar, Markus Freitag, George Foster, Markus Freitag, Bowen Liang, George Foster, Thibault Sellam and Hansa Srinivasan and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, 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 Qijun Tan i

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Fields of papers citing papers by Qijun Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qijun Tan

Since Specialization

Citations

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