Kun Suo

506 total citations
43 papers, 305 citations indexed

About

Kun Suo is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Kun Suo has authored 43 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Networks and Communications, 21 papers in Information Systems and 12 papers in Artificial Intelligence. Recurrent topics in Kun Suo's work include Cloud Computing and Resource Management (19 papers), IoT and Edge/Fog Computing (11 papers) and Software System Performance and Reliability (8 papers). Kun Suo is often cited by papers focused on Cloud Computing and Resource Management (19 papers), IoT and Edge/Fog Computing (11 papers) and Software System Performance and Reliability (8 papers). Kun Suo collaborates with scholars based in United States, China and Israel. Kun Suo's co-authors include Jia Rao, Yong Zhao, Wei Chen, Yong Shi, Dazhao Cheng, Sabur Baidya, Yong Shi, Wei Chen, Song Wu and Junggab Son and has published in prestigious journals such as IEEE Transactions on Computers, Future Generation Computer Systems and IEEE Transactions on Mobile Computing.

In The Last Decade

Kun Suo

38 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kun Suo United States 10 241 169 52 40 36 43 305
Jingpu Duan China 8 204 0.8× 53 0.3× 59 1.1× 52 1.3× 30 0.8× 32 264
Michael Le United States 8 276 1.1× 144 0.9× 61 1.2× 115 2.9× 23 0.6× 19 334
Zahid Ghaffar Taiwan 11 174 0.7× 166 1.0× 80 1.5× 73 1.8× 17 0.5× 21 282
Yuebin Bai China 9 129 0.5× 73 0.4× 86 1.7× 70 1.8× 74 2.1× 33 251
Jimmy Kjällman Finland 4 244 1.0× 182 1.1× 28 0.5× 45 1.1× 35 1.0× 9 282
Chengzhi Lu China 7 331 1.4× 298 1.8× 64 1.2× 19 0.5× 27 0.8× 14 383
Mohsen Amini Salehi United States 10 132 0.5× 149 0.9× 71 1.4× 36 0.9× 14 0.4× 25 233
Zhiming Hu Singapore 11 292 1.2× 202 1.2× 67 1.3× 56 1.4× 22 0.6× 15 338
Hao Jin China 8 255 1.1× 166 1.0× 68 1.3× 44 1.1× 23 0.6× 20 281
Anshul Jindal Germany 11 262 1.1× 235 1.4× 37 0.7× 27 0.7× 12 0.3× 26 325

Countries citing papers authored by Kun Suo

Since Specialization
Citations

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

Fields of papers citing papers by Kun Suo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Suo

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Suo. A scholar is included among the top collaborators of Kun Suo 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 Kun Suo. Kun Suo 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
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Suo, Kun, et al.. (2024). A Systematic Investigation of Hardware and Software in Electric Vehicular Platform. 9–17. 1 indexed citations
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Hu, Chuang, et al.. (2024). Incendio: Priority-Based Scheduling for Alleviating Cold Start in Serverless Computing. IEEE Transactions on Computers. 73(7). 1780–1794. 5 indexed citations
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Rao, Jia, et al.. (2024). vKernel: Enhancing Container Isolation via Private Code and Data. IEEE Transactions on Computers. 73(7). 1711–1723. 2 indexed citations
8.
Shahriar, Hossain, et al.. (2023). Quantum Machine Learning for Security Data Analysis. 460–465. 1 indexed citations
9.
Wang, Kun, et al.. (2022). Characterizing and optimizing Kernel resource isolation for containers. Future Generation Computer Systems. 141. 218–229. 5 indexed citations
10.
Rao, Jia, et al.. (2022). Adapt Burstable Containers to Variable CPU Resources. IEEE Transactions on Computers. 72(3). 614–626. 8 indexed citations
11.
Suo, Kun, et al.. (2022). An empirical analysis of image augmentation against model inversion attack in federated learning. Cluster Computing. 26(1). 349–366. 4 indexed citations
12.
Shi, Yong, et al.. (2022). Optimizing Resource Allocation in Cloud. 465–470.
13.
Le, Linh, et al.. (2022). 5G network slicing and drone-assisted applications. 109–114. 2 indexed citations
14.
Suo, Kun, Junggab Son, Dazhao Cheng, Wei Chen, & Sabur Baidya. (2021). Tackling Cold Start of Serverless Applications by Efficient and Adaptive Container Runtime Reusing. 433–443. 20 indexed citations
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Cheng, Dazhao, et al.. (2020). Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning. 11. 392–398. 2 indexed citations
18.
Suo, Kun, et al.. (2019). Tackling Parallelization Challenges of Kernel Network Stack for Container Overlay Networks. 4 indexed citations
19.
Suo, Kun, Yong Zhao, Wei Chen, & Jia Rao. (2018). vNetTracer: Efficient and Programmable Packet Tracing in Virtualized Networks. 165–175. 18 indexed citations
20.
Suo, Kun, Yong Zhao, Wei Chen, & Jia Rao. (2018). An Analysis and Empirical Study of Container Networks. 189–197. 65 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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