Siew-Choo Lim

474 citations
10 papers · 388 · h-index 7

Impact in

Papers in

Siew-Choo Lim

10 papers receiving 369 citations

Peers

Siew-Choo Lim
Comparison fields: 5 of 33
  • Computer Vision and Pattern Recognition 298
  • Statistical and Nonlinear Physics 85
  • Computational Theory and Mathematics 100
  • Mathematical Physics 40
  • Artificial Intelligence 139
Replace Xuedong Zheng with:
Xuedong Zheng China
Rodrigo Henao Colombia
Kunshu Wang China
Xingbin Liu China
Ji Xu China
Yurong Wang China
A.Z. Shang Canada
Jonathan Ashley United States
Xinshuai Liang China
Isha Mehra India
Siew-Choo Lim relative to Xuedong Zheng China Xuedong Zheng's profile →
Citations per field
00.5×1.7×
Xuedong Zheng · 1×
Citations per year

Countries citing papers authored by Siew-Choo Lim

Since Specialization
Citations

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

Fields of papers citing papers by Siew-Choo Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siew-Choo Lim. 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 Siew-Choo Lim. The network helps show where Siew-Choo Lim may publish in the future.

Co-authors

The 8 scholars most cited alongside Siew-Choo Lim, 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 Siew-Choo Lim Line = papers co-authored together Siew-Choo Lim links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2012166
2 2013158
3 200212
4 200012
5 201011
6 19988
7 20066
8 19976
9 19995
10 20074

About Siew-Choo Lim

Siew-Choo Lim is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Condensed Matter Physics, having authored 10 papers that have together received 388 indexed citations. Recurring topics across this work include Magneto-Optical Properties and Applications (3 papers), Chaos-based Image/Signal Encryption (3 papers), Acoustic Wave Resonator Technologies (2 papers), Physics of Superconductivity and Magnetism (2 papers), Mechanical and Optical Resonators (2 papers), Magnetic properties of thin films (2 papers), Chaos control and synchronization (2 papers) and Nonlinear Photonic Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (298 citations), Statistical and Nonlinear Physics (85 citations), Computational Theory and Mathematics (100 citations), Mathematical Physics (40 citations) and Artificial Intelligence (139 citations). Siew-Choo Lim has collaborated with scholars based in Malaysia, United Kingdom and Iran. Frequent co-authors include Z. Hassan, A. Akhshani, Amir Akhavan, Akbar Mobaraki, Junaidah Osman, D. R. Tilley, S. Behnia and Y. Ishibashi. Their work appears in journals such as Journal of Physics Condensed Matter, Communications in Nonlinear Science and Numerical Simulation, Journal of Physics D Applied Physics, International Journal of Modern Physics C and Journal of the Optical Society of America B.

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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