Kai Peng

1.8k citations
84 papers · 1.2k · h-index 21

Impact in

Papers in

Kai Peng

74 papers receiving 1.2k citations

Peers

Kai Peng
Comparison fields: 5 of 91
  • Computer Networks and Communications 390
  • Industrial and Manufacturing Engineering 161
  • Computer Vision and Pattern Recognition 229
  • Aerospace Engineering 277
  • Information Systems 243
Replace Qiaozhi Hua with:
Qiaozhi Hua China
Yutong Wang China
Panagiotis Trakadas Greece
Abhishek Hazra India
Shen Wang Ireland
Bi Zeng China
Štěpán Hubálovský Czechia
Jiacheng Wang China
Jincai Huang China
Kai Peng relative to Qiaozhi Hua China Qiaozhi Hua's profile →
Citations per field
00.5×10×20×32.3×
Qiaozhi Hua · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Kai Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai Peng Line = papers co-authored together Kai Peng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019129
2 2021100
3 201884
4 201872
5 201960
6 202154
7 198135
8 201835
9 202433
10 202231
11 201530
12 201128
13 201827
14 201927
15 202323
16 202322
17 201621
18 201720
19 202220
20 202020

About Kai Peng

Kai Peng is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Aerospace Engineering, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (14 papers), Software-Defined Networks and 5G (14 papers), IoT and Edge/Fog Computing (12 papers), Software System Performance and Reliability (9 papers), Privacy-Preserving Technologies in Data (8 papers), Energy Efficient Wireless Sensor Networks (6 papers), Satellite Communication Systems (6 papers) and Interconnection Networks and Systems (6 papers). The work is most often cited by research in Computer Networks and Communications (390 citations), Industrial and Manufacturing Engineering (161 citations), Computer Vision and Pattern Recognition (229 citations), Aerospace Engineering (277 citations) and Information Systems (243 citations). Kai Peng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Menglan Hu, Chen Wang, Xiaoqiang Ma, Jiangchuan Liu, Gaoyang Liu, Haojun Huang, Shaohua Wan, Tianping Deng, Yan Dong and Wenqing Cheng. Their work appears in journals such as IEEE Internet of Things Journal, Applied Sciences, IEEE Transactions on Mobile Computing, IEEE Access and IEEE Transactions on Network and Service Management.

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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