Jonathan Kua

831 citations
36 papers · 532 · h-index 10

Impact in

Papers in

Jonathan Kua

32 papers receiving 508 citations

Peers

Jonathan Kua
Comparison fields: 5 of 65
  • Computer Networks and Communications 262
  • Computer Vision and Pattern Recognition 216
  • Signal Processing 109
  • Industrial and Manufacturing Engineering 33
  • Electrical and Electronic Engineering 145
Replace Xiao Zhu with:
Xiao Zhu United States
Shahroz Tariq South Korea
Sinem Alturjman Canada
Seifeddine Messaoud Tunisia
Benjamín Molina Spain
Jyrki Huusko Finland
Miran Taha Spain
Krešimir Grgić Croatia
Jonathan Kua relative to Xiao Zhu United States Xiao Zhu's profile →
Citations per field
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Xiao Zhu · 1×
Citations per year

Countries citing papers authored by Jonathan Kua

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Kua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017220
2 202152
3 202148
4 202341
5 201738
6 202215
7 201915
8 202212
9 202311
10 201611
11 20219
12 20178
13 20206
14 20236
15 20245
16 20235
17 20215
18 20205
19 20213
20 20253

About Jonathan Kua

Jonathan Kua is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Information Systems, having authored 36 papers that have together received 532 indexed citations. Recurring topics across this work include Network Traffic and Congestion Control (11 papers), IoT and Edge/Fog Computing (8 papers), Image and Video Quality Assessment (6 papers), Caching and Content Delivery (4 papers), Digital Transformation in Industry (4 papers), Blockchain Technology Applications and Security (3 papers), AI in Service Interactions (3 papers) and Social Robot Interaction and HRI (3 papers). The work is most often cited by research in Computer Networks and Communications (262 citations), Computer Vision and Pattern Recognition (216 citations), Signal Processing (109 citations), Industrial and Manufacturing Engineering (33 citations) and Electrical and Electronic Engineering (145 citations). Jonathan Kua has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Grenville Armitage, Philip Branch, Chathurika Ranaweera, Seng W. Loke, Niroshinie Fernando, Chetan Arora, Jiong Jin, Ampalavanapillai Nirmalathas, Elaine Wong and Christina Lim. Their work appears in journals such as Future Internet, Sensors, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Mobile Computing and The International Journal of Advanced Manufacturing Technology.

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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