Kai Peng

681 total citations
44 papers, 413 citations indexed

About

Kai Peng is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Kai Peng has authored 44 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Networks and Communications, 11 papers in Information Systems and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Kai Peng's work include IoT and Edge/Fog Computing (25 papers), Age of Information Optimization (7 papers) and Blockchain Technology Applications and Security (6 papers). Kai Peng is often cited by papers focused on IoT and Edge/Fog Computing (25 papers), Age of Information Optimization (7 papers) and Blockchain Technology Applications and Security (6 papers). Kai Peng collaborates with scholars based in China, Canada and South Korea. Kai Peng's co-authors include Xiaolong Xu, Muhammad Bilal, Victor C. M. Leung, Shangguang Wang, Alireza Jolfaei, Jiangtian Nie, Yang Zhang, Neeraj Kumar, Jiawen Kang and Zehui Xiong and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal and Materials.

In The Last Decade

Kai Peng

36 papers receiving 396 citations

Peers

Kai Peng
Kai Peng
Citations per year, relative to Kai Peng Kai Peng (= 1×) peers P. Kuppusamy

Countries citing papers authored by Kai Peng

Since Specialization
Citations

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

Fields of papers citing papers by Kai Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Peng. A scholar is included among the top collaborators of Kai Peng 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 Kai Peng. Kai Peng 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.
Peng, Kai, et al.. (2025). Mobility-aware task offloading in UAV-MEC-assisted IoV: A two-stage approach. Ad Hoc Networks. 178. 103956–103956.
2.
Peng, Kai, et al.. (2025). An Online Computation Offloading Approach With Dual Stability Guarantee for Heterogeneous Tasks in MEC-Enabled IIoT. IEEE Transactions on Mobile Computing. 24(11). 12137–12148.
4.
Peng, Kai, et al.. (2025). SerFlow: A Multistage Service-Enhanced Mechanism for Workflow Applications in CPSs With End-Edge–Cloud Collaboration. IEEE Internet of Things Journal. 12(16). 33792–33813. 2 indexed citations
6.
Zhan, Wenhan, et al.. (2024). Optimal service caching, pricing and task partitioning in mobile edge computing federation. Future Generation Computer Systems. 159. 340–352. 1 indexed citations
9.
Peng, Kai, et al.. (2024). SCOF: Security-Aware Computation Offloading Using Federated Reinforcement Learning in Industrial Internet of Things With Edge Computing. IEEE Transactions on Services Computing. 17(4). 1780–1792. 15 indexed citations
10.
Peng, Kai, et al.. (2024). A Multi-Agent DRL-Based Computation Offloading and Resource Allocation Method With Attention Mechanism in MEC-Enabled IIoT. IEEE Transactions on Services Computing. 17(6). 3037–3051. 9 indexed citations
11.
Peng, Kai, et al.. (2023). A fairness‐aware task offloading method in edge‐enabled IIoT with multi‐constraints using AGE‐MOEA and weighted MMF. Concurrency and Computation Practice and Experience. 36(10). 1 indexed citations
12.
Peng, Kai, et al.. (2022). Intelligent Computation Offloading and Resource Allocation in IIoT With End-Edge-Cloud Computing Using NSGA-III. IEEE Transactions on Network Science and Engineering. 10(5). 3032–3046. 74 indexed citations
13.
Peng, Kai, et al.. (2022). Mobility and Privacy-Aware Offloading of AR Applications for Healthcare Cyber-Physical Systems in Edge Computing. IEEE Transactions on Network Science and Engineering. 10(5). 2662–2673. 17 indexed citations
14.
Peng, Kai, et al.. (2022). Intelligent computation offloading for educational virtual reality applications in smart campus using MoCell. Computational Intelligence. 39(1). 82–103. 1 indexed citations
17.
Peng, Kai, et al.. (2020). Collaborative Computation Offloading for Smart Cities in Mobile Edge Computing. 176–183. 6 indexed citations
18.
Yu, Longteng, Dabiao Liu, Kai Peng, & Yuming He. (2016). An improved torsion pendulum based on image processing for single fibers. Measurement Science and Technology. 27(7). 75601–75601. 12 indexed citations
19.
Huang, Binbin, Rongheng Lin, Kai Peng, Hua Zou, & Fangchun Yang. (2013). Minimizing Latency in Fetching Virtual Machine Images Based on Multi-point Collaborative Approach. 3 indexed citations
20.
Peng, Kai, et al.. (2007). Effects of Preparation Processing on Mechanical Properties of TiAl Intermetallic. Key engineering materials. 353-358. 1589–1592.

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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