Kay‐Soon Low

5.0k citations
188 papers · 3.8k · h-index 32

Impact in

Papers in

Kay‐Soon Low

174 papers receiving 3.6k citations

Peers

Kay‐Soon Low
Comparison fields: 5 of 114
  • Renewable Energy, Sustainability and the Environment 660
  • Control and Systems Engineering 885
  • Electrical and Electronic Engineering 2.1k
  • Automotive Engineering 319
  • Aerospace Engineering 596
Replace Juntao Fei with:
Juntao Fei China
Éric Monmasson France
Zhiqiang Gao United States
Ming Xu United States
Tyrone Fernando Australia
Filippo Attivissimo Italy
James F. Whidborne United Kingdom
V. Feliú Spain
Guangjun Liu Canada
Changliang Xia China
Kay‐Soon Low relative to Juntao Fei China Juntao Fei's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kay‐Soon Low

Since Specialization
Citations

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

Fields of papers citing papers by Kay‐Soon Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay‐Soon Low. 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 Kay‐Soon Low. The network helps show where Kay‐Soon Low may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 188 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010295
2 2012236
3 2006181
4 2006153
5 2014125
6 201095
7 200986
8 200885
9 200982
10 200078
11 201575
12 200872
13 201167
14 201163
15 201161
16 201560
17 201059
18 201555
19 200052
20 201551

About Kay‐Soon Low

Kay‐Soon Low is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Biomedical Engineering, Control and Systems Engineering and Ocean Engineering, having authored 188 papers that have together received 3.8k indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (27 papers), Iterative Learning Control Systems (21 papers), Indoor and Outdoor Localization Technologies (21 papers), Microwave Imaging and Scattering Analysis (17 papers), Spacecraft Design and Technology (17 papers), Advanced DC-DC Converters (16 papers), Space Satellite Systems and Control (15 papers) and Geophysical Methods and Applications (14 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (660 citations), Control and Systems Engineering (885 citations), Electrical and Electronic Engineering (2.1k citations), Automotive Engineering (319 citations) and Aerospace Engineering (596 citations). Kay‐Soon Low has collaborated with scholars based in Singapore, China and Australia. Frequent co-authors include Jing Jun Soon, Erry Gunawan, C.B. Soh, Shu Ting Goh, Runzi Cao, Htet Htet Aung, Hao Guo, Shoushun Chen, Keliang Zhou and Arash Maskooki. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Industrial Electronics, IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Power Electronics and IEEE Transactions on Antennas and Propagation.

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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