S.H. Leung

2.9k citations
184 papers · 2.1k indexed · h-index 24

Impact in

Papers in

S.H. Leung

168 papers receiving 2.0k citations

Peers

S.H. Leung
Comparison fields: 5 of 95
  • Signal Processing 667
  • Computer Vision and Pattern Recognition 609
  • Electrical and Electronic Engineering 1.0k
  • Computational Mechanics 286
  • Computer Networks and Communications 310
Replace Tokunbo Ogunfunmi with:
Tokunbo Ogunfunmi United States
J. Vermaak United Kingdom
Chong Luo China
Fuliang Yin China
Jungwon Lee United States
Basheera M. Mahmmod Iraq
Sadiq H. Abdulhussain Iraq
Chong‐Ho Choi South Korea
Hassan Qjidaa Morocco
Qianhua He China
S.H. Leung relative to Tokunbo Ogunfunmi United States Tokunbo Ogunfunmi's profile →
Citations per field
00.5×3.5×
Tokunbo Ogunfunmi · 1×
Citations per year

Countries citing papers authored by S.H. Leung

Since Specialization
Citations

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

Fields of papers citing papers by S.H. Leung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20223
3 20215
4 20214
5 20204
6 20209
7 202012
8 201915
9 201914
10 201816
11 201854
12 201820
13 20185
14 20174
15 201723
16 200484
17 200460
18 200215
19
Improved performance analysis of recursive least squares algorithm
20011
20
Audio Signal Restoration Using Higher-order Spectra
19961

About S.H. Leung

S.H. Leung is a scholar working on Signal Processing, Computer Networks and Communications, Computer Vision and Pattern Recognition, Computational Mechanics and Electrical and Electronic Engineering, having authored 184 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (56 papers), Wireless Communication Networks Research (45 papers), Advanced MIMO Systems Optimization (39 papers), Speech and Audio Processing (36 papers), Advanced Adaptive Filtering Techniques (36 papers), Neural Networks and Applications (27 papers), Blind Source Separation Techniques (25 papers) and Cooperative Communication and Network Coding (21 papers). The work is most often cited by research in Signal Processing (667 citations), Computer Vision and Pattern Recognition (609 citations), Electrical and Electronic Engineering (1.0k citations), Computational Mechanics (286 citations) and Computer Networks and Communications (310 citations). S.H. Leung has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Alan Wee‐Chung Liew, W.H. Lau, C.F. So, Sin-Chun Ng, Rongfang Song, Xiangbin Yu, Hong Wang, Tharam S. Dillon, Jingwen Weng and Wing Shing Chan. Their work appears in journals such as Electronics Letters, IEEE Transactions on Vehicular Technology, IEEE Communications Letters, Wireless Personal Communications and IEEE Transactions on Signal Processing.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026