Quan Chen

4.8k total citations · 1 hit paper
143 papers, 2.8k citations indexed

About

Quan Chen is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Quan Chen has authored 143 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Computer Networks and Communications, 77 papers in Information Systems and 50 papers in Hardware and Architecture. Recurrent topics in Quan Chen's work include Cloud Computing and Resource Management (69 papers), Parallel Computing and Optimization Techniques (48 papers) and IoT and Edge/Fog Computing (29 papers). Quan Chen is often cited by papers focused on Cloud Computing and Resource Management (69 papers), Parallel Computing and Optimization Techniques (48 papers) and IoT and Edge/Fog Computing (29 papers). Quan Chen collaborates with scholars based in China, United States and Japan. Quan Chen's co-authors include Minyi Guo, Bingsheng He, Qinbin Li, Yiqun Diao, Jason Mars, Lingjia Tang, Jingwen Leng, Hailong Yang, Zhiyi Huang and Kaihua Fu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, ACM Computing Surveys and International Journal of Environmental Research and Public Health.

In The Last Decade

Quan Chen

133 papers receiving 2.8k citations

Hit Papers

Federated Learning on Non-IID Data Silos: An Experimental... 2022 2026 2023 2024 2022 100 200 300 400 500
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.

  1. Federated Learning on Non-IID Data Silos: An Experimental Study
    2022 557 citations Quan Chen et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Quan Chen China 26 1.3k 1.1k 1.0k 595 575 143 2.8k
Theodora Varvarigou Greece 28 1.4k 1.1× 1.2k 1.0× 658 0.6× 278 0.5× 537 0.9× 241 2.8k
Ge Yu China 30 1.1k 0.8× 721 0.6× 1.6k 1.6× 660 1.1× 636 1.1× 380 3.8k
Xiao Qin United States 26 2.0k 1.6× 1.7k 1.5× 660 0.7× 488 0.8× 256 0.4× 217 3.2k
Kashif Bilal Pakistan 31 1.9k 1.4× 1.4k 1.3× 616 0.6× 170 0.3× 438 0.8× 76 3.1k
Bin Yao China 27 1.7k 1.3× 1.3k 1.1× 794 0.8× 711 1.2× 397 0.7× 105 3.2k
Dejan Milojičić United States 31 2.9k 2.2× 1.8k 1.6× 603 0.6× 662 1.1× 373 0.6× 202 4.0k
Xiaomin Zhu China 29 2.2k 1.7× 1.5k 1.3× 656 0.6× 260 0.4× 373 0.6× 238 3.3k
Fang Liu China 30 1.4k 1.1× 1.2k 1.0× 1.2k 1.2× 129 0.2× 377 0.7× 162 3.3k
Joanna Kołodziej Poland 30 1.9k 1.5× 1.6k 1.4× 462 0.5× 437 0.7× 267 0.5× 131 2.9k
Zhe Liu China 31 854 0.7× 1.2k 1.1× 1.9k 1.9× 140 0.2× 640 1.1× 236 3.4k

Countries citing papers authored by Quan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Quan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Quan Chen. A scholar is included among the top collaborators of Quan Chen 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 Quan Chen. Quan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Quan, et al.. (2025). Improving GPU Sharing Performance through Adaptive Bubbleless Spatial-Temporal Sharing. 573–588. 2 indexed citations
2.
Zhou, Yangjie, Jingwen Leng, Zihan Liu, et al.. (2025). Voyager: Input-Adaptive Algebraic Transformations for High-Performance Graph Neural Networks. 247–263.
3.
Li, Chao, Yuancheng Li, Du Liu, et al.. (2025). EXIST: Enabling Extremely Efficient Intra-Service Tracing Observability in Datacenters. 355–372.
4.
Wang, Qiang, et al.. (2025). Ares: Fair and Efficient Scheduling of Deep Learning Jobs with Elastic Fair Queuing. ACM Transactions on Architecture and Code Optimization. 22(4). 1–21.
5.
Fu, Kaihua, et al.. (2024). Adaptive QoS-Aware Microservice Deployment With Excessive Loads via Intra- and Inter-Datacenter Scheduling. IEEE Transactions on Parallel and Distributed Systems. 35(9). 1565–1582. 6 indexed citations
6.
7.
Wang, Yao, et al.. (2024). Versatile Low-Frequency Magnetoelectric Antenna With Memory in Computing Ability and Internet of Underground Things Application. IEEE Internet of Things Journal. 11(19). 30648–30660. 1 indexed citations
8.
Chen, Quan, et al.. (2024). FedCA: Efficient Federated Learning with Client Autonomy. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 494–503. 1 indexed citations
9.
Zeng, Deze, et al.. (2024). PLAYS: Minimizing DNN Inference Latency in Serverless Edge Cloud for Artificial Intelligence of Things. IEEE Internet of Things Journal. 11(23). 37731–37740. 1 indexed citations
10.
Chen, Quan, et al.. (2024). FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture. 331–348. 6 indexed citations
11.
Zhou, Yangjie, Jingwen Leng, Zihan Liu, et al.. (2023). AdaptGear. 52–62. 2 indexed citations
12.
Li, Yuepeng, et al.. (2023). PASTO: Enabling Secure and Efficient Task Offloading in TrustZone-Enabled Edge Clouds. IEEE Transactions on Vehicular Technology. 72(6). 8234–8238. 8 indexed citations
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15.
Chen, Quan, et al.. (2023). Enhancing Innovation Management and Venture Capital Evaluation via Advanced Deep Learning Techniques. Journal of Organizational and End User Computing. 36(1). 1–22.
16.
Zeng, Deze, et al.. (2023). Enabling Efficient Spatio-Temporal GPU Sharing for Network Function Virtualization. IEEE Transactions on Computers. 72(10). 2963–2977. 5 indexed citations
17.
Liu, Zihan, Jingwen Leng, Zhihui Zhang, et al.. (2022). VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling. 388–401. 34 indexed citations
18.
Li, Yuepeng, Deze Zeng, Lin Gu, et al.. (2022). Efficient and Secure Deep Learning Inference in Trusted Processor Enabled Edge Clouds. IEEE Transactions on Parallel and Distributed Systems. 33(12). 4311–4325. 8 indexed citations
19.
Chen, Quan. (2009). Analysis on Accident Causation Factors and Hazard Theory. Zhongguo anquan kexue xuebao. 6 indexed citations
20.
Qiu, Jie, Hock Soon Seah, Feng Tian, Quan Chen, & Zhongke Wu. (2005). Enhanced auto coloring with hierarchical region matching: Image, Colour and Illumination in Animation. Computer Animation and Virtual Worlds. 16(3). 463–473. 1 indexed citations

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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