Jinquan Dai

1.1k total citations · 1 hit paper
15 papers, 651 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 651 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 Cloud Computing and Resource Management (7 papers), Parallel Computing and Optimization Techniques (7 papers) and Software-Defined Networks and 5G (7 papers). Jinquan Dai is often cited by papers focused on Cloud Computing and Resource Management (7 papers), Parallel Computing and Optimization Techniques (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, Hung Keng Pung, Yan Liu, 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 621 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The HiBench benchmark suite: Characterization of the MapReduce-based data analysis

2010 488 citations Shengsheng Huang, Jie Huang et al. profile →

Peers

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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15 of 15 papers shown

#	Work	Indexed citations
1	HYVI: A HYbrid VIrtualization Solution Balancing Performance and Manageability 2013 ·IEEE Transactions on Parallel and Distributed Systems ·Yaozu Dong, (unknown), Jinquan Dai, Haibing Guan	15
2	ReNIC 2012 ·ACM Transactions on Architecture and Code Optimization ·Yaozu Dong, (unknown), (unknown), Jinquan Dai, (unknown)	11
3	HiTune: dataflow-based performance analysis for big data cloud 2011 ·USENIX Annual Technical Conference ·Jinquan Dai, Jie Huang, Shengsheng Huang, Bo Huang, Yan Liu	10
4	The HiBench benchmark suite: Characterization of the MapReduce-based data analysis breakdown → 2010 ·Shengsheng Huang, Jie Huang, Jinquan Dai, Tao Xie, Bo Huang	488
5	Improving virtualization performance and scalability with advanced hardware accelerations 2010 ·Yaozu Dong, Xudong Zheng, (unknown), Jinquan Dai, Jianhui Li, Xin Li, (unknown), Haibing Guan	10
6	Browser workload characterization for an Ajax-based commercial online service 2009 ·Xu Shu, Bo Huang, (unknown), Jinquan Dai	1
7	Towards high-quality I/O virtualization 2009 ·Yaozu Dong, Jinquan Dai, (unknown), Haibing Guan, (unknown), (unknown)	47
8	Latency Hiding in Multi-Threading and Multi-Processing of Network Applications 2007 ·Xiaofeng Guo, Jinquan Dai, (unknown), (unknown), Prashant Chandra	1
9	Latency Hiding in Multi-Threading and Multi-Processing of Network Applications 2007 ·(unknown), Jinquan Dai, (unknown), (unknown), Prashant Chandra	1
10	Pipelined Execution of Critical Sections Using Software-Controlled Caching in Network Processors 2007 ·Jinquan Dai, (unknown), Bo Huang	2
11	Automatically partitioning packet processing applications for pipelined architectures 2005 ·Jinquan Dai, Bo Huang, (unknown), (unknown)	22
12	Automatic multithreading and multiprocessing of C programs for IXP 2005 ·(unknown), Bo Huang, Jinquan Dai, (unknown)	9
13	Automatically partitioning packet processing applications for pipelined architectures 2005 ·ACM SIGPLAN Notices ·Jinquan Dai, Bo Huang, (unknown), (unknown)	29
14	QROUTE: an QoS-guaranteed multicast routing 2003 ·Computer Communications ·Jinquan Dai, (unknown), Hung Keng Pung	3
15	A multicast routing protocol supporting multiple QoS constraints 2003 ·National University of Singapore ·Jinquan Dai, Hung Keng Pung, (unknown)	2

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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