Jinquan Dai
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Bo HuangJie HuangShengsheng HuangTao XieYaozu DongHaibing GuanHung Keng PungYan Liu
- Topics
- Cloud Computing and Resource Management (7 papers)Parallel Computing and Optimization Techniques (7 papers)Software-Defined Networks and 5G (7 papers)
- Journals
- IEEE Transactions on Parallel and Distributed SystemsComputer CommunicationsACM SIGPLAN Notices
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Jinquan Dai
15 papers receiving 621 citations
Hit Papers
Peers
Comparison fields: 5 of 27
- Computer Networks and Communications 578
- Information Systems 504
- Hardware and Architecture 192
- Artificial Intelligence 94
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Jinquan Dai
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 11 | |
| 3 | 10 | |
| 4 | The HiBench benchmark suite: Characterization of the MapReduce-based data analysisbreakdown → | 488 |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 47 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 22 | |
| 12 | 9 | |
| 13 | 29 | |
| 14 | 3 | |
| 15 | 2 |
About Jinquan Dai
Jinquan Dai is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 15 papers that have together received 651 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (7 papers), Parallel Computing and Optimization Techniques (7 papers) and Software-Defined Networks and 5G (7 papers). The work is most often cited by research in Hardware and Architecture (192 citations), Computer Networks and Communications (578 citations) and Information Systems (504 citations). Jinquan Dai has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Bo Huang, Jie Huang, Shengsheng Huang, Tao Xie, Yaozu Dong, Haibing Guan, Hung Keng Pung, Yan Liu, Xin Li and Jianhui Li. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Computer Communications and ACM SIGPLAN Notices.
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.