Peijin Cong

892 total citations
26 papers, 653 citations indexed

About

Peijin Cong is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Peijin Cong has authored 26 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 12 papers in Information Systems and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Peijin Cong's work include Cloud Computing and Resource Management (11 papers), IoT and Edge/Fog Computing (7 papers) and Caching and Content Delivery (4 papers). Peijin Cong is often cited by papers focused on Cloud Computing and Resource Management (11 papers), IoT and Edge/Fog Computing (7 papers) and Caching and Content Delivery (4 papers). Peijin Cong collaborates with scholars based in China, United States and United Kingdom. Peijin Cong's co-authors include Tongquan Wei, Junlong Zhou, Mingsong Chen, Shiyan Hu, Kun Cao, Liying Li, Tian Wang, Xinli Huang, Xiumin Zhou and Jin Sun and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and ACM Computing Surveys.

In The Last Decade

Peijin Cong

25 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peijin Cong China 13 431 318 147 110 88 26 653
Jean‐Marc Pierson France 16 655 1.5× 553 1.7× 227 1.5× 87 0.8× 147 1.7× 57 872
Laiping Zhao China 14 529 1.2× 422 1.3× 203 1.4× 103 0.9× 75 0.9× 68 807
Ermeson Andrade Brazil 14 345 0.8× 278 0.9× 93 0.6× 90 0.8× 56 0.6× 94 602
Awadhesh Kumar Singh India 14 478 1.1× 296 0.9× 108 0.7× 95 0.9× 61 0.7× 95 681
Christophe Cérin France 11 499 1.2× 251 0.8× 148 1.0× 73 0.7× 59 0.7× 84 634
Zoltán Ádám Mann Germany 16 755 1.8× 555 1.7× 186 1.3× 130 1.2× 208 2.4× 75 994
Rakesh Kumar Lenka India 13 366 0.8× 241 0.8× 126 0.9× 91 0.8× 24 0.3× 57 615
Sara Alspaugh United States 11 808 1.9× 744 2.3× 145 1.0× 104 0.9× 133 1.5× 14 1.0k
Fung Po Tso United Kingdom 21 887 2.1× 395 1.2× 334 2.3× 139 1.3× 60 0.7× 72 1.1k
Filipe Araújo Portugal 14 393 0.9× 176 0.6× 57 0.4× 101 0.9× 31 0.4× 69 543

Countries citing papers authored by Peijin Cong

Since Specialization
Citations

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

Fields of papers citing papers by Peijin Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijin Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Peijin Cong. A scholar is included among the top collaborators of Peijin Cong 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 Peijin Cong. Peijin Cong 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.
Shi, Yifei, Liying Li, Yue Zeng, Peijin Cong, & Junlong Zhou. (2025). Joint DNN Partition and Thread Allocation Optimization for Energy-Harvesting MEC Systems. 1–7.
2.
3.
Cong, Peijin, et al.. (2023). Learning-Based Cloud Server Configuration for Energy Minimization Under Reliability Constraint. IEEE Transactions on Reliability. 73(1). 203–215. 5 indexed citations
4.
5.
Cong, Peijin, et al.. (2022). Multiserver configuration for cloud service profit maximization in the presence of soft errors based on grouped grey wolf optimizer. Journal of Systems Architecture. 127. 102512–102512. 5 indexed citations
6.
Cong, Peijin, Junlong Zhou, Weiming Jiang, et al.. (2022). Improving Reliability and Sustainability of Hazard-Aware Cyber-Physical Systems. IEEE Transactions on Sustainable Computing. 9(3). 271–282. 7 indexed citations
7.
Cong, Peijin, Junlong Zhou, Liying Li, et al.. (2020). A Survey of Hierarchical Energy Optimization for Mobile Edge Computing. ACM Computing Surveys. 53(2). 1–44. 38 indexed citations
8.
Cong, Peijin, et al.. (2020). Personality- and Value-Aware Scheduling of User Requests in Cloud for Profit Maximization. IEEE Transactions on Cloud Computing. 10(3). 1991–2004. 11 indexed citations
9.
Cong, Peijin, Junlong Zhou, Mingsong Chen, & Tongquan Wei. (2020). Personality-Guided Cloud Pricing via Reinforcement Learning. IEEE Transactions on Cloud Computing. 10(2). 925–943. 13 indexed citations
10.
Cong, Peijin, et al.. (2020). Utilizing Textual Information in Knowledge Graph Embedding: A Survey of Methods and Applications. IEEE Access. 1–1. 18 indexed citations
11.
Zhou, Junlong, Jin Sun, Peijin Cong, et al.. (2019). Security-Critical Energy-Aware Task Scheduling for Heterogeneous Real-Time MPSoCs in IoT. IEEE Transactions on Services Computing. 13(4). 745–758. 114 indexed citations
12.
Zhou, Junlong, Peijin Cong, Jin Sun, et al.. (2019). Throughput Maximization for Multicore Energy-Harvesting Systems Suffering Both Transient and Permanent Faults. IEEE Access. 7. 98462–98473. 2 indexed citations
13.
Huang, Xinli, et al.. (2018). A Survey of Deployment Solutions and Optimization Strategies for Hybrid SDN Networks. IEEE Communications Surveys & Tutorials. 21(2). 1483–1507. 66 indexed citations
14.
Huang, Xinli, et al.. (2018). Queueing Theoretic Approach for Performance-Aware Modeling of Sustainable SDN Control Planes. IEEE Transactions on Sustainable Computing. 5(1). 121–133. 6 indexed citations
15.
Cong, Peijin, Liying Li, Junlong Zhou, et al.. (2018). Developing User Perceived Value Based Pricing Models for Cloud Markets. IEEE Transactions on Parallel and Distributed Systems. 29(12). 2742–2756. 46 indexed citations
16.
Cao, Kun, Junlong Zhou, Peijin Cong, et al.. (2018). Affinity-Driven Modeling and Scheduling for Makespan Optimization in Heterogeneous Multiprocessor Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(7). 1189–1202. 41 indexed citations
17.
Li, Liying, Peijin Cong, Kun Cao, et al.. (2018). Game Theoretic Feedback Control for Reliability Enhancement of EtherCAT-Based Networked Systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38(9). 1599–1610. 9 indexed citations
18.
Zhou, Junlong, Kun Cao, Peijin Cong, et al.. (2017). Reliability and temperature constrained task scheduling for makespan minimization on heterogeneous multi-core platforms. Journal of Systems and Software. 133. 1–16. 42 indexed citations
19.
Wei, Tongquan, Junlong Zhou, Kun Cao, et al.. (2017). Cost-Constrained QoS Optimization for Approximate Computation Real-Time Tasks in Heterogeneous MPSoCs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(9). 1733–1746. 31 indexed citations
20.
Yang, Yufan, et al.. (2016). SHSA: A Method of Network Verification with Stateful Header Space Analysis. 232–238. 2 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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