Quanyu Dai

96 total papers · 1.5k total citations
44 papers, 809 citations indexed

About

Quanyu Dai is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Quanyu Dai has authored 44 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 22 papers in Information Systems and 12 papers in Management Science and Operations Research. Recurrent topics in Quanyu Dai's work include Recommender Systems and Techniques (22 papers), Advanced Graph Neural Networks (18 papers) and Advanced Bandit Algorithms Research (10 papers). Quanyu Dai is often cited by papers focused on Recommender Systems and Techniques (22 papers), Advanced Graph Neural Networks (18 papers) and Advanced Bandit Algorithms Research (10 papers). Quanyu Dai collaborates with scholars based in China, Hong Kong and Sweden. Quanyu Dai's co-authors include Xiao Shen, Zhenhua Dong, Dan Wang, Dan Wang, Qiang Li, Jian Tang, Kup‐Sze Choi, Fu-Lai Chung, Jieming Zhu and Rui Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Information Sciences.

In The Last Decade

Quanyu Dai

39 papers receiving 795 citations

Author Peers

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

Author Last Decade Papers Cites
Quanyu Dai 611 288 160 139 107 44 809
Chanyoung Park 521 0.9× 354 1.2× 146 0.9× 140 1.0× 87 0.8× 52 764
Weiwen Liu 436 0.7× 354 1.2× 162 1.0× 59 0.4× 92 0.9× 54 726
Libin Yang 583 1.0× 303 1.1× 113 0.7× 77 0.6× 43 0.4× 69 865
Qing Cui 491 0.8× 144 0.5× 195 1.2× 208 1.5× 33 0.3× 36 872
Zaiqiao Meng 711 1.2× 337 1.2× 158 1.0× 254 1.8× 102 1.0× 68 1.0k
Fei Cai 541 0.9× 462 1.6× 117 0.7× 66 0.5× 106 1.0× 55 736
Yue Hu 594 1.0× 224 0.8× 276 1.7× 62 0.4× 57 0.5× 69 799
Xiangguo Sun 503 0.8× 221 0.8× 94 0.6× 162 1.2× 39 0.4× 35 715
Yuan Zuo 599 1.0× 209 0.7× 67 0.4× 159 1.1× 35 0.3× 39 766
Chaozhuo Li 680 1.1× 272 0.9× 201 1.3× 182 1.3× 43 0.4× 76 927

Countries citing papers authored by Quanyu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Quanyu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quanyu Dai

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