Xiaoyuan Yi

14 total papers · 2.1k total citations
6 papers, 961 citations indexed

About

Xiaoyuan Yi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaoyuan Yi has authored 6 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Xiaoyuan Yi's work include Topic Modeling (5 papers), Natural Language Processing Techniques (2 papers) and Recommender Systems and Techniques (1 paper). Xiaoyuan Yi is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (2 papers) and Recommender Systems and Techniques (1 paper). Xiaoyuan Yi collaborates with scholars based in China, United States and Hong Kong. Xiaoyuan Yi's co-authors include Xing Xie, Yi Chang, Xu Wang, Cunxiang Wang, Hao Chen, Linyi Yang, Qiang Yang, Philip S. Yu, Wei Ye and Yuan Wu and has published in prestigious journals such as ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Big Data and Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

In The Last Decade

Xiaoyuan Yi

5 papers receiving 935 citations

Hit Papers

A Survey on Evaluation of... 2024 2026 2024 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Xiaoyuan Yi 515 153 78 77 76 6 961
Kaijie Zhu 530 1.0× 157 1.0× 81 1.0× 83 1.1× 78 1.0× 4 986
Hao Chen 527 1.0× 157 1.0× 79 1.0× 81 1.1× 80 1.1× 16 1.0k
Cunxiang Wang 605 1.2× 159 1.0× 79 1.0× 102 1.3× 76 1.0× 15 1.1k
Yuan Wu 511 1.0× 151 1.0× 78 1.0× 82 1.1× 76 1.0× 17 1.1k
Xu Wang 548 1.1× 163 1.1× 79 1.0× 82 1.1× 78 1.0× 21 1.1k
Kiran Khatter 437 0.8× 137 0.9× 101 1.3× 64 0.8× 62 0.8× 23 899
Yidong Wang 594 1.2× 161 1.1× 81 1.0× 105 1.4× 78 1.0× 26 1.2k
Eduardo M. Pereira 590 1.1× 54 0.4× 88 1.1× 87 1.1× 41 0.5× 8 998
Elior Sulem 595 1.2× 116 0.8× 39 0.5× 84 1.1× 34 0.4× 12 832
Linyi Yang 660 1.3× 173 1.1× 81 1.0× 108 1.4× 80 1.1× 24 1.2k

Countries citing papers authored by Xiaoyuan Yi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyuan Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyuan Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyuan Yi. A scholar is included among the top collaborators of Xiaoyuan Yi 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 Xiaoyuan Yi. Xiaoyuan Yi 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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