Kai Cheng

408 citations
23 papers · 328 · h-index 6

Impact in

  • Software top 10%
    • Software Testing and Debugging Techniques
    • Caching and Content Delivery
    • Advanced Database Systems and Queries
    • IoT and Edge/Fog Computing
    • Network Security and Intrusion Detection

Papers in

Kai Cheng

21 papers receiving 316 citations

Peers

Kai Cheng
Comparison fields: 5 of 43
  • Software 38
  • Computer Networks and Communications 109
  • Artificial Intelligence 132
  • Information Systems 43
  • Signal Processing 13
Replace Ziyang Li with:
Ziyang Li China
Sara M. Hassan Egypt
Jian Dong China
Yichen Qian China
Barbara Strug Poland
Arne Lie Norway
Dazhi Huang China
Tomoyuki Ohta Japan
Kai Cheng relative to Ziyang Li China Ziyang Li's profile →
Citations per field
00.5×2×3×4.3×
Ziyang Li · 1×
Citations per year

Countries citing papers authored by Kai Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Kai Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Cheng, 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 Cheng Line = papers co-authored together Kai Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021128
2 201868
3 200542
4 200238
5 20028
6 20136
7 20226
8 20226
9 20165
10 20143
11 20173
12 20223
13
Using Database Technology to Improve Performance of Web Proxy Servers.
20012
14 20022
15 20222
16 20021
17
Capacity Bound-free Web Warehouse
20031
18 20051
19 20161
20 20211

About Kai Cheng

Kai Cheng is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Software and Signal Processing, having authored 23 papers that have together received 328 indexed citations. Recurring topics across this work include Caching and Content Delivery (6 papers), Advanced Database Systems and Queries (3 papers), Algorithms and Data Compression (2 papers), Access Control and Trust (2 papers), Security and Verification in Computing (2 papers), Blockchain Technology Applications and Security (2 papers), Technology and Security Systems (1 paper) and Privacy-Preserving Technologies in Data (1 paper). The work is most often cited by research in Software (38 citations), Computer Networks and Communications (109 citations), Artificial Intelligence (132 citations), Information Systems (43 citations) and Signal Processing (13 citations). Kai Cheng has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xuehua Zhao, Huiling Chen, Fangjun Kuang, Mengxiang Chen, Chao Ma, Caiyang Yu, Limin Sun, Mukesh Mohania, Yaowen Zheng and Zhenkai Liang. Their work appears in journals such as Knowledge and Information Systems, Engineering With Computers, Lecture notes in computer science, Journal of Physics Conference Series and International Conference on Network-Based Information Systems.

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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