Penghao Sun

826 total citations
37 papers, 574 citations indexed

About

Penghao Sun is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Penghao Sun has authored 37 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Networks and Communications, 11 papers in Electrical and Electronic Engineering and 10 papers in Information Systems. Recurrent topics in Penghao Sun's work include Software-Defined Networks and 5G (25 papers), Cloud Computing and Resource Management (9 papers) and Network Security and Intrusion Detection (7 papers). Penghao Sun is often cited by papers focused on Software-Defined Networks and 5G (25 papers), Cloud Computing and Resource Management (9 papers) and Network Security and Intrusion Detection (7 papers). Penghao Sun collaborates with scholars based in China, Switzerland and United States. Penghao Sun's co-authors include Yuxiang Hu, Julong Lan, Zehua Guo, Junfei Li, Min Chen, Le Tian, Yang Xu, Yiming Jiang, Gang Wang and Peng Yi and has published in prestigious journals such as IEEE Access, IEEE/ACM Transactions on Networking and Future Generation Computer Systems.

In The Last Decade

Penghao Sun

33 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Penghao Sun China 15 501 213 115 71 48 37 574
Min Luo United States 13 952 1.9× 440 2.1× 157 1.4× 130 1.8× 40 0.8× 20 1.0k
Ala’ Darabseh Jordan 11 477 1.0× 91 0.4× 207 1.8× 80 1.1× 61 1.3× 18 577
Junjie Xie China 15 522 1.0× 186 0.9× 225 2.0× 72 1.0× 42 0.9× 63 666
Zhijing Qin United States 8 470 0.9× 156 0.7× 64 0.6× 43 0.6× 38 0.8× 15 542
Luca Cominardi Spain 13 445 0.9× 286 1.3× 59 0.5× 33 0.5× 41 0.9× 40 563
Meitian Huang Australia 15 714 1.4× 252 1.2× 225 2.0× 42 0.6× 17 0.4× 20 744
Philippe Bertin France 11 437 0.9× 317 1.5× 52 0.5× 54 0.8× 17 0.4× 34 539
Fabio Giust Spain 14 705 1.4× 471 2.2× 121 1.1× 49 0.7× 17 0.4× 24 784
Pascal Berthou France 9 635 1.3× 242 1.1× 89 0.8× 56 0.8× 28 0.6× 42 713

Countries citing papers authored by Penghao Sun

Since Specialization
Citations

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

Fields of papers citing papers by Penghao Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Penghao Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Penghao Sun. A scholar is included among the top collaborators of Penghao Sun 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 Penghao Sun. Penghao Sun 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.
Hu, Yuxiang, et al.. (2025). CoDDoS: Detecting and mitigating diverse DDoS attacks with programmable switches. Computer Communications. 240. 108215–108215.
2.
Hu, Yuxiang, et al.. (2025). One sketch for all super hosts: Large-scale network monitoring with UnivCar. Future Generation Computer Systems. 174. 107952–107952.
3.
Sun, Penghao, et al.. (2024). Enabling efficient routing for traffic engineering in SDN with Deep Reinforcement Learning. Computer Networks. 241. 110220–110220. 10 indexed citations
4.
Sun, Penghao, et al.. (2024). Multi-resource interleaving for task scheduling in cloud-edge system by deep reinforcement learning. Future Generation Computer Systems. 160. 522–536. 1 indexed citations
5.
Sun, Penghao, Julong Lan, Yuxiang Hu, et al.. (2024). Realizing the Carbon-Aware Service Provision in ICT System. IEEE Transactions on Network and Service Management. 21(4). 4090–4103. 1 indexed citations
6.
Yi, Haisheng, et al.. (2024). GALNT2 targeted by miR-139-5p promotes proliferation of clear cell renal cell carcinoma via inhibition of LATS2 activation. Discover Oncology. 15(1). 73–73. 1 indexed citations
7.
Chen, Hongchang, et al.. (2022). Virtual self-adaptive bitmap for online cardinality estimation. Information Systems. 114. 102160–102160. 1 indexed citations
8.
Wang, Mingzhi, Tao Wu, Xiaochen Fan, et al.. (2021). TPD: Temporal and Positional Computation Offloading with Dynamic and Dependent Tasks. Wireless Communications and Mobile Computing. 2021(1). 1 indexed citations
9.
Sun, Penghao, Zehua Guo, Junfei Li, et al.. (2021). Enabling Scalable Routing in Software-Defined Networks With Deep Reinforcement Learning on Critical Nodes. IEEE/ACM Transactions on Networking. 30(2). 629–640. 41 indexed citations
10.
Chen, Bo, et al.. (2021). Traffic engineering based on deep reinforcement learning in hybrid IP/SR network. China Communications. 18(10). 204–213. 8 indexed citations
11.
Sun, Penghao, Julong Lan, Junfei Li, et al.. (2020). A Scalable Deep Reinforcement Learning Approach for Traffic Engineering Based on Link Control. IEEE Communications Letters. 25(1). 171–175. 7 indexed citations
12.
Sun, Penghao, Julong Lan, Junfei Li, Zehua Guo, & Yuxiang Hu. (2020). Combining Deep Reinforcement Learning With Graph Neural Networks for Optimal VNF Placement. IEEE Communications Letters. 25(1). 176–180. 56 indexed citations
13.
Sun, Penghao, Julong Lan, Zehua Guo, et al.. (2020). DeepMigration: Flow Migration for NFV with Graph-based Deep Reinforcement Learning. 1–6. 10 indexed citations
14.
Sun, Penghao, Zehua Guo, Sen Liu, et al.. (2020). SmartFCT: Improving power-efficiency for data center networks with deep reinforcement learning. Computer Networks. 179. 107255–107255. 32 indexed citations
15.
Sun, Penghao, Zehua Guo, Gang Wang, Julong Lan, & Yuxiang Hu. (2020). MARVEL: Enabling controller load balancing in software-defined networks with multi-agent reinforcement learning. Computer Networks. 177. 107230–107230. 46 indexed citations
16.
Sun, Penghao, Yuxiang Hu, Julong Lan, Le Tian, & Min Chen. (2019). TIDE: Time-relevant deep reinforcement learning for routing optimization. Future Generation Computer Systems. 99. 401–409. 83 indexed citations
17.
Lan, Julong, et al.. (2018). Online Load Balancing for Distributed Control Plane in Software-Defined Data Center Network. IEEE Access. 6. 18184–18191. 34 indexed citations
18.
Sun, Penghao, et al.. (2018). RNN Deep Reinforcement Learning for Routing Optimization. 285–289. 12 indexed citations
19.
Duan, Tong, Julong Lan, Yuxiang Hu, & Penghao Sun. (2017). Separating VNF and Network Control for Hardware-Acceleration of SDN/NFV Architecture. ETRI Journal. 39(4). 525–534. 2 indexed citations
20.
Xiong, Gang, Penghao Sun, Yuxiang Hu, Julong Lan, & Kan Li. (2016). An Optimized Deployment Mechanism for Virtual Middleboxes in NFV- and SDN-Enabling Network. KSII Transactions on Internet and Information Systems. 10(8). 4 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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