Qijun Tan

1.1k total citations
5 papers, 174 citations indexed

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 174 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, Serbia and Germany. Qijun Tan's co-authors include David Grangier, Markus Freitag, Wolfgang Macherey, Viresh Ratnakar, George Foster, Markus Freitag, Bowen Liang, Jilin Chen, George Foster and Nicholas Blumm and has published in prestigious journals such as Transactions of the Association for Computational Linguistics and arXiv (Cornell University).

In The Last Decade

Qijun Tan

5 papers receiving 160 citations

Peers

Qijun Tan
Khalid Almubarak Saudi Arabia
Satish Golla India
Johnny Tian-Zheng Wei United States
Divyanshu Kakwani India
Catherine Kobus France
Sarguna Janani Padmanabhan United States
Didier Schwab France
Mohammad Sadegh Rasooli United States
Daniel Deutsch United States
Thiago Castro Ferreira Brazil
Khalid Almubarak Saudi Arabia
Qijun Tan
Citations per year, relative to Qijun Tan Qijun Tan (= 1×) peers Khalid Almubarak

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).

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.

Co-authorship network of co-authors of Qijun Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Qijun Tan. A scholar is included among the top collaborators of Qijun Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qijun Tan. Qijun Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Lahoti, Preethi, Nicholas Blumm, Qijun Tan, et al.. (2023). Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting. 10383–10405. 7 indexed citations
2.
Freitag, Markus, David Grangier, Qijun Tan, & Bowen Liang. (2022). High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics. Transactions of the Association for Computational Linguistics. 10. 811–825. 17 indexed citations
3.
Foster, George, et al.. (2022). Toward More Effective Human Evaluation for Machine Translation. 3 indexed citations
4.
Freitag, Markus, George Foster, David Grangier, et al.. (2021). Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation. Transactions of the Association for Computational Linguistics. 9. 1460–1474. 145 indexed citations
5.
Sellam, Thibault, Hyung Won Chung, Sebastian Gehrmann, et al.. (2020). Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task. arXiv (Cornell University). 921–927. 2 indexed citations

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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2026