Yingqi Qu

662 total citations · 1 hit paper
6 papers, 319 citations indexed

About

Yingqi Qu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yingqi Qu has authored 6 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yingqi Qu's work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers) and Multimodal Machine Learning Applications (2 papers). Yingqi Qu is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (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 Wayne Xin Zhao, Ruiyang Ren, Haifeng Wang, Jing Liu, Hua Wu, Daxiang Dong, Kai Liu, Qiaoqiao She, Ji-Rong Wen and Bing Xu and has published in prestigious journals such as Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.

In The Last Decade

Yingqi Qu

6 papers receiving 306 citations

Hit Papers

RocketQA: An Optimized Training Approach to Dense Passage... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Yingqi Qu
Comparison fields: 5 of 28
  • Artificial Intelligence 294
  • Computer Vision and Pattern Recognition 149
  • Information Systems 51
  • Management Science and Operations Research 10
  • Computer Networks and Communications 5
Replace Ruiying Geng with:
Ruiying Geng China
Wen-tau Yih United States
Scott Yih United States
Tanveer J. Siddiqui India
Qiaoqiao She China
Jon Saad-Falcon United States
Shuangzhi Wu China
Jingtao Zhan China
Jianshu Ji China
Ruiying Geng China View profile →
Citations per field, relative to Yingqi Qu
Yingqi Qu · 1×
Citations per year, relative to Yingqi Qu
Yingqi Qu · 1×

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).

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.

Co-authorship network of co-authors of Yingqi Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingqi Qu. A scholar is included among the top collaborators of Yingqi Qu 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 Yingqi Qu. Yingqi Qu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
# Work Indexed citations
1 6
2 2
3 5
4 3
5 99
6
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering breakdown →
204

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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