Jinquan Dai

24 total papers · 1.1k total citations
15 papers, 649 citations indexed

About

Jinquan Dai is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Jinquan Dai has authored 15 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 10 papers in Hardware and Architecture and 7 papers in Information Systems. Recurrent topics in Jinquan Dai's work include Parallel Computing and Optimization Techniques (7 papers), Cloud Computing and Resource Management (7 papers) and Software-Defined Networks and 5G (7 papers). Jinquan Dai is often cited by papers focused on Parallel Computing and Optimization Techniques (7 papers), Cloud Computing and Resource Management (7 papers) and Software-Defined Networks and 5G (7 papers). Jinquan Dai collaborates with scholars based in United States, China and Singapore. Jinquan Dai's co-authors include Bo Huang, Jie Huang, Shengsheng Huang, Tao Xie, Yaozu Dong, Haibing Guan, Yan Liu, Hung Keng Pung, Xin Li and Jianhui Li and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Computer Communications and ACM SIGPLAN Notices.

In The Last Decade

Jinquan Dai

15 papers receiving 619 citations

Hit Papers

The HiBench benchmark sui... 2010 2026 2015 2020 2010 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Jinquan Dai 577 504 191 94 53 15 649
Karan Gupta 617 1.1× 445 0.9× 166 0.9× 63 0.7× 28 0.5× 30 697
Neeraja J. Yadwadkar 561 1.0× 516 1.0× 79 0.4× 154 1.6× 80 1.5× 25 701
Alexander Wieder 511 0.9× 301 0.6× 249 1.3× 113 1.2× 75 1.4× 18 674
Adam Manzanares 632 1.1× 519 1.0× 232 1.2× 43 0.5× 46 0.9× 33 699
Zhenhuan Gong 538 0.9× 445 0.9× 77 0.4× 104 1.1× 49 0.9× 14 625
Tyler Harter 676 1.2× 542 1.1× 109 0.6× 56 0.6× 24 0.5× 11 713
Md. Wasi-ur-Rahman 618 1.1× 512 1.0× 171 0.9× 53 0.6× 83 1.6× 26 731
Prateek Sharma 505 0.9× 502 1.0× 69 0.4× 106 1.1× 45 0.8× 23 633
Eddy Caron 563 1.0× 350 0.7× 194 1.0× 88 0.9× 18 0.3× 32 683
Vignesh T. Ravi 469 0.8× 328 0.7× 435 2.3× 66 0.7× 60 1.1× 28 619

Countries citing papers authored by Jinquan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jinquan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinquan Dai

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