Tong Lim

14 papers receiving 340 citations

Peers

Tong Lim
Comparison fields: 5 of 36
  • Signal Processing 133
  • Computational Mechanics 127
  • Statistics, Probability and Uncertainty 29
  • Computer Networks and Communications 92
  • Statistics and Probability 31
Replace A.G.J. Holt with:
A.G.J. Holt United Kingdom
F. Hill United States
S. Appadwedula United States
D. Kershaw United Kingdom
Marco Dalai Italy
Galen Reeves United States
Saeid Haghighatshoar Germany
Dimitrios Katselis Sweden
Alex Dytso United States
Babak Hassibi United States
Tong Lim relative to A.G.J. Holt United Kingdom A.G.J. Holt's profile →
Citations per field
00.5×6.2×
A.G.J. Holt · 1×
Citations per year

Countries citing papers authored by Tong Lim

Since Specialization
Citations

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

Fields of papers citing papers by Tong Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Tong 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 Tong Lim Line = papers co-authored together Tong Lim links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1984140
2 197783
3 198168
4 198023
5 197815
6 197810
7 20049
8 19816
9 19835
10 19824
11 19782
12 19802
13
6 A STRUCTURED OVERVIEW OF DIGITAL COMMUNICATIONS-A
19831
14 19841
15 20050

About Tong Lim

Tong Lim is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Signal Processing, Civil and Structural Engineering and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 369 indexed citations. Recurring topics across this work include Advanced Adaptive Filtering Techniques (5 papers), Structural Health Monitoring Techniques (3 papers), Blind Source Separation Techniques (3 papers), Speech and Audio Processing (2 papers), Image and Signal Denoising Methods (2 papers), Advanced Wireless Communication Techniques (2 papers), Probabilistic and Robust Engineering Design (2 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Signal Processing (133 citations), Computational Mechanics (127 citations), Statistics, Probability and Uncertainty (29 citations), Computer Networks and Communications (92 citations) and Statistics and Probability (31 citations). Tong Lim has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include A. Gersho, S.A. Kassam, Richard D. Gitlin, E. Biglieri, Leonard J. Cimini, J. K. Omura, Sung‐Hee Shin, Victor B. Lawrence, Masato Ofuji and Chong Soo Lee. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Aerospace and Electronic Systems, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Information Theory and IEEE Transactions on Geoscience and Remote Sensing.

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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