Yingqi Qu

5 papers and 245 indexed citations i.

About

Yingqi Qu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yingqi Qu has authored 5 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Information Systems. Recurrent topics in Yingqi Qu’s work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Multimodal Machine Learning Applications (2 papers). Yingqi Qu is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Multimodal Machine Learning Applications (2 papers). Yingqi Qu collaborates with scholars based in China and United Kingdom. Yingqi Qu's co-authors include Jing Liu, Wayne Xin Zhao, Haifeng Wang, Ruiyang Ren, Hua Wu, Kai Liu, Daxiang Dong, Qiaoqiao She, Ji-Rong Wen and Hua Wu and has published in prestigious journals such as arXiv (Cornell University), Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Co-authorship network of co-authors of Yingqi Qu i

Fields of papers citing papers by Yingqi Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yingqi Qu

Since Specialization
Citations

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