Xinyang Yi

39 total papers · 2.4k total citations
18 papers, 1.3k citations indexed

About

Xinyang Yi is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xinyang Yi has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 11 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xinyang Yi's work include Recommender Systems and Techniques (13 papers), Advanced Bandit Algorithms Research (8 papers) and Topic Modeling (8 papers). Xinyang Yi is often cited by papers focused on Recommender Systems and Techniques (13 papers), Advanced Bandit Algorithms Research (8 papers) and Topic Modeling (8 papers). Xinyang Yi collaborates with scholars based in United States, Canada and China. Xinyang Yi's co-authors include Lichan Hong, Ed H., Zhe Zhao, Jilin Chen, Jiaqi Ma, Derek Zhiyuan Cheng, Tiansheng Yao, Wei Li, Ji Yang and Maheswaran Sathiamoorthy and has published in prestigious journals such as Small, arXiv (Cornell University) and Proceedings of the ACM Web Conference 2022.

In The Last Decade

Xinyang Yi

18 papers receiving 1.2k citations

Hit Papers

Modeling Task Relationshi... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Xinyang Yi 782 762 351 229 108 18 1.3k
Shuai Zhang 756 1.0× 775 1.0× 325 0.9× 177 0.8× 153 1.4× 45 1.4k
Changhua Pei 974 1.2× 1.2k 1.6× 368 1.0× 332 1.4× 217 2.0× 29 1.6k
James Davidson 588 0.8× 490 0.6× 530 1.5× 130 0.6× 156 1.4× 14 1.3k
Yanru Qu 771 1.0× 469 0.6× 469 1.3× 77 0.3× 85 0.8× 15 1.2k
Junqi Jin 714 0.9× 966 1.3× 684 1.9× 240 1.0× 172 1.6× 12 1.5k
Huan Zhao 1.0k 1.3× 967 1.3× 339 1.0× 143 0.6× 226 2.1× 46 1.6k
Jinoh Oh 660 0.8× 811 1.1× 324 0.9× 133 0.6× 153 1.4× 30 1.1k
Todd Phillips 528 0.7× 417 0.5× 228 0.6× 183 0.8× 204 1.9× 17 1.2k
Dietmar Ebner 532 0.7× 420 0.6× 215 0.6× 184 0.8× 207 1.9× 12 1.1k
Huifeng Guo 737 0.9× 852 1.1× 302 0.9× 215 0.9× 139 1.3× 77 1.2k

Countries citing papers authored by Xinyang Yi

Since Specialization
Citations

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

Fields of papers citing papers by Xinyang Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinyang Yi

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