Chenhong Cao

434 citations
37 papers · 229 · h-index 10

Impact in

Papers in

Chenhong Cao

33 papers receiving 229 citations

Peers

Chenhong Cao
Comparison fields: 5 of 54
  • Computer Networks and Communications 97
  • Computational Mathematics 2
  • Information Systems 66
  • Signal Processing 29
  • Artificial Intelligence 61
Replace Marcus Nolte with:
Marcus Nolte Germany
Alfan Presekal Netherlands
Makhlouf Hadji France
Muhammad M. Roomi Singapore
Mark Looi Australia
Zhen Gao China
Jiangtao Ou China
Farrukh Zeeshan Khan Pakistan
Shaila Afrin Bangladesh
Abdullah Basuhail Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Chenhong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Chenhong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202129
2 202122
3 202219
4 201814
5 202413
6 201612
7 202312
8 202010
9 20239
10 20239
11 20169
12 20238
13 20236
14 20235
15 20225
16 20235
17 20255
18 20244
19 20244
20 20254

About Chenhong Cao

Chenhong Cao is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 229 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (9 papers), Energy Efficient Wireless Sensor Networks (5 papers), Caching and Content Delivery (4 papers), Blockchain Technology Applications and Security (3 papers), IoT and Edge/Fog Computing (3 papers), Image and Video Quality Assessment (3 papers), Advanced Malware Detection Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). The work is most often cited by research in Computer Networks and Communications (97 citations), Computational Mathematics (2 citations), Information Systems (66 citations), Signal Processing (29 citations) and Artificial Intelligence (61 citations). Chenhong Cao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiangtao Li, Wei Dong, Yi Gao, Guobing Zou, Bofeng Zhang, Kwok‐Yan Lam, Yanglan Gan, Yixin Chen, Tengfei Li and Ming Jiang. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Internet of Things Journal, Computers & Security, IEEE/ACM Transactions on Networking and Construction and Building Materials.

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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