Kai Peng

1.3k total citations · 1 hit paper
17 papers, 923 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 17 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 12 papers in Information Systems and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Kai Peng's work include IoT and Edge/Fog Computing (16 papers), Cloud Computing and Resource Management (9 papers) and Blockchain Technology Applications and Security (6 papers). Kai Peng is often cited by papers focused on IoT and Edge/Fog Computing (16 papers), Cloud Computing and Resource Management (9 papers) and Blockchain Technology Applications and Security (6 papers). Kai Peng collaborates with scholars based in China, Canada and United States. Kai Peng's co-authors include Victor C. M. Leung, Qingjia Huang, Xiaolong Xu, Lianyong Qi, Lixin Zheng, Xuyun Zhang, Shunmei Meng, Qingxiang Liu, Yun Luo and Yuan Xue and has published in prestigious journals such as IEEE Access, Future Generation Computer Systems and Journal of Network and Computer Applications.

In The Last Decade

Kai Peng

17 papers receiving 896 citations

Hit Papers

align trajectories

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.

A computation offloading method over big data for IoT-enabled cloud-edge computing

2019 251 citations Xiaolong Xu, Qingxiang Liu et al. Future Generation Computer Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Peng China	11	702	328	290	191	137	17	923
Xuanxia Yao China	15	654 0.9×	446 1.4×	456 1.6×	297 1.6×	145 1.1×	40	1.1k
Xiaochun Yin China	12	411 0.6×	214 0.7×	271 0.9×	121 0.6×	123 0.9×	29	718
Jie Yuan China	14	737 1.0×	414 1.3×	201 0.7×	188 1.0×	108 0.8×	46	1.0k
Étienne Rivière Switzerland	15	1.1k 1.6×	471 1.4×	252 0.9×	168 0.9×	205 1.5×	75	1.4k
Sara Ayoubi Canada	13	1.1k 1.6×	244 0.7×	410 1.4×	485 2.5×	145 1.1×	33	1.4k
Xiaoshuang Xing China	15	816 1.2×	198 0.6×	202 0.7×	542 2.8×	79 0.6×	51	1.1k
Rakesh Matam India	14	802 1.1×	309 0.9×	164 0.6×	301 1.6×	138 1.0×	69	966
Ivan Farris Italy	15	902 1.3×	282 0.9×	108 0.4×	320 1.7×	78 0.6×	28	1.0k
Baek‐Young Choi United States	19	868 1.2×	301 0.9×	221 0.8×	298 1.6×	90 0.7×	112	1.1k
Zahra Pooranian Italy	20	755 1.1×	333 1.0×	253 0.9×	286 1.5×	98 0.7×	37	1.1k

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

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17 of 17 papers shown

Peng, Kai, et al.. (2024). Cache-assisted computation offloading for workflow applications in industrial internet of things. Discover Computing. 27(1). 1 indexed citations

Peng, Kai, et al.. (2020). Energy- and Resource-Aware Computation Offloading for Complex Tasks in Edge Environment. Complexity. 2020. 1–14. 14 indexed citations

Zhang, Yiwen, et al.. (2020). A novel edge server selection method based on combined genetic algorithm and simulated annealing algorithm. Automatika. 62(1). 32–43. 13 indexed citations

Peng, Kai, et al.. (2020). Energy- and Time-Efficient Tasks Offloading and Dynamic Resource Allocation in Smart City. 35. 705–712. 2 indexed citations

Peng, Kai, et al.. (2020). Joint optimisation for time consumption and energy consumption of multi‐application and load balancing of cloudlets in mobile edge computing. IET Cyber-Physical Systems Theory & Applications. 5(2). 196–206. 10 indexed citations

Peng, Kai, et al.. (2020). A New Cloudlet Placement Method Based on Affinity Propagation for Cyber-Physical-Social Systems in Wireless Metropolitan Area Networks. IEEE Access. 8. 34313–34325. 13 indexed citations

Peng, Kai, et al.. (2020). End-edge-cloud collaborative computation offloading for multiple mobile users in heterogeneous edge-server environment. Wireless Networks. 30(5). 3495–3506. 50 indexed citations

Xu, Xiaolong, Yuancheng Li, Tao Huang, et al.. (2019). An energy-aware computation offloading method for smart edge computing in wireless metropolitan area networks. Journal of Network and Computer Applications. 133. 75–85. 139 indexed citations

Xu, Xiaolong, Qingxiang Liu, Yun Luo, et al.. (2019). A computation offloading method over big data for IoT-enabled cloud-edge computing. Future Generation Computer Systems. 95. 522–533. 251 indexed citations breakdown →

10.

Peng, Kai, et al.. (2019). A Multi-Objective Computation Offloading Method for Workflow Applications in Mobile Edge Computing. 135–141. 1 indexed citations

11.

Peng, Kai, Yiwen Zhang, Lingxia Liu, et al.. (2019). An energy- and cost-aware computation offloading method for workflow applications in mobile edge computing. EURASIP Journal on Wireless Communications and Networking. 2019(1). 72 indexed citations

12.

Zhang, Wenming, et al.. (2019). Mobility-Enabled Edge Server Selection for Multi-User Composite Services. Future Internet. 11(9). 184–184. 7 indexed citations

13.

Peng, Kai, Victor C. M. Leung, Xiaolong Xu, et al.. (2018). A Survey on Mobile Edge Computing: Focusing on Service Adoption and Provision. Wireless Communications and Mobile Computing. 2018(1). 69 indexed citations

14.

Peng, Kai, Victor C. M. Leung, Lixin Zheng, et al.. (2018). Intrusion Detection System Based on Decision Tree over Big Data in Fog Environment. Wireless Communications and Mobile Computing. 2018(1). 106 indexed citations

15.

Peng, Kai, Victor C. M. Leung, & Qingjia Huang. (2018). Clustering Approach Based on Mini Batch Kmeans for Intrusion Detection System Over Big Data. IEEE Access. 6. 11897–11906. 171 indexed citations

16.

Xu, Xiaolong, Yuancheng Li, Yuan Yuan, et al.. (2018). An Energy-Aware Virtual Machine Scheduling Method for Cloudlets in Wireless Metropolitan Area Networks. 517–523. 2 indexed citations

17.

Xu, Xiaolong, et al.. (2018). A Multi-Objective Data Placement Method for IoT Applications Over Big Data Using NSGA-II. 503–509. 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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