T.H. Liew

1.2k citations
36 papers · 862 · h-index 13

Impact in

Papers in

T.H. Liew

34 papers receiving 745 citations

Peers

T.H. Liew
Comparison fields: 5 of 21
  • Computer Networks and Communications 699
  • Electrical and Electronic Engineering 763
  • Artificial Intelligence 218
  • Signal Processing 33
  • Computational Theory and Mathematics 45
Replace S. Chennakeshu with:
S. Chennakeshu United States
Changhua He United States
Dmitry Kogan United States
Qifu Tyler Sun China
S.J. Simmons Canada
Ralf Kötter United States
B.L. Yeap United Kingdom
N. Wiberg Sweden
Philippe Godlewski France
T.H. Liew relative to S. Chennakeshu United States S. Chennakeshu's profile →
Citations per field
00.5×1.5×2.3×
S. Chennakeshu · 1×
Citations per year

Countries citing papers authored by T.H. Liew

Since Specialization
Citations

This map shows the geographic impact of T.H. Liew'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 T.H. Liew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.H. Liew more than expected).

Fields of papers citing papers by T.H. Liew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.H. Liew. 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 T.H. Liew. The network helps show where T.H. Liew may publish in the future.

Co-authors

The 9 scholars most cited alongside T.H. Liew, 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 T.H. Liew Line = papers co-authored together T.H. Liew 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 2002335
2
Turbo Coding, Turbo Equalisation and Space-Time Coding: EXIT-Chart-Aided Near-Capacity Designs for Wireless Channels
201185
3 200267
4 200254
5 200051
6 200222
7 200219
8 200218
9 200618
10 200216
11 200614
12 200213
13 200213
14 200412
15 200211
16 200311
17
Block Turbo Coded Burst-by-Burst Adaptive Modems
199911
18 200610
19 20029
20 20028

About T.H. Liew

T.H. Liew is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Information Systems and Computational Mechanics, having authored 36 papers that have together received 862 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (34 papers), Wireless Communication Networks Research (24 papers), Error Correcting Code Techniques (12 papers), PAPR reduction in OFDM (12 papers), Coding theory and cryptography (10 papers), Cooperative Communication and Network Coding (5 papers), Cryptography and Residue Arithmetic (4 papers) and Advanced Adaptive Filtering Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (699 citations), Electrical and Electronic Engineering (763 citations), Artificial Intelligence (218 citations), Signal Processing (33 citations) and Computational Theory and Mathematics (45 citations). T.H. Liew has collaborated with scholars based in United Kingdom. Frequent co-authors include B.L. Yeap, Soon Xin Ng, Lajos Hanzo, Lie‐Liang Yang, Thomas Keller, C.H. Wong, B.J. Choi, Fuchun Guo and Mohamad Yusoff Alias. Their work appears in journals such as IEEE Transactions on Communications, IEEE Transactions on Vehicular Technology, Proceedings of the IEEE, IEEE Transactions on Wireless Communications and IEEE Journal on Selected Areas in Communications.

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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