Qingyu Yin

79 total papers · 669 total citations
30 papers, 233 citations indexed

About

Qingyu Yin is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qingyu Yin has authored 30 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qingyu Yin's work include Topic Modeling (17 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (5 papers). Qingyu Yin is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (14 papers) and Multimodal Machine Learning Applications (5 papers). Qingyu Yin collaborates with scholars based in United States, China and Hong Kong. Qingyu Yin's co-authors include Weinan Zhang, Ting Liu, Ting Liu, Zhang Yu, William Yang Wang, Yu Zhang, Yu Zhang, Weinan Zhang, Bing Yin and Xuxiang Wang and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems and npj Digital Medicine.

In The Last Decade

Qingyu Yin

24 papers receiving 221 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Qingyu Yin 214 46 41 11 6 30 233
Arindam Mitra 234 1.1× 61 1.3× 38 0.9× 9 0.8× 4 0.7× 18 258
Eric Nalisnick 172 0.8× 41 0.9× 47 1.1× 9 0.8× 6 1.0× 19 213
Minh-Tien Nguyen 175 0.8× 20 0.4× 31 0.8× 6 0.5× 10 1.7× 47 210
Weiguang Qu 208 1.0× 21 0.5× 43 1.0× 9 0.8× 10 1.7× 36 226
Sho Takase 285 1.3× 52 1.1× 29 0.7× 12 1.1× 7 1.2× 31 314
Eric Malmi 225 1.1× 37 0.8× 40 1.0× 13 1.2× 6 1.0× 25 302
Sarah Zelikovitz 225 1.1× 45 1.0× 87 2.1× 7 0.6× 6 1.0× 21 272
Leshem Choshen 294 1.4× 41 0.9× 43 1.0× 9 0.8× 6 1.0× 30 329
Oyvind Tafjord 242 1.1× 77 1.7× 26 0.6× 17 1.5× 5 0.8× 16 266
Francesco Piccinno 198 0.9× 45 1.0× 39 1.0× 9 0.8× 29 4.8× 16 236

Countries citing papers authored by Qingyu Yin

Since Specialization
Citations

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

Fields of papers citing papers by Qingyu Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyu Yin

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

All Works

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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