S. Hui

1.5k citations
35 papers · 1.0k indexed · h-index 13

S. Hui

31 papers receiving 985 citations

Peers

S. Hui
Comparison fields: 5 of 89
  • Control and Systems Engineering 466
  • Artificial Intelligence 421
  • Computer Vision and Pattern Recognition 170
  • Computer Networks and Communications 180
  • Statistical and Nonlinear Physics 64
Replace M.M. Bayoumi with:
M.M. Bayoumi Canada
Yinggan Tang China
Lunan Zheng China
Shaohua Tan Singapore
Tamer Inanc United States
Jaime Pacheco Mexico
Jerónimo Arenas‐García Spain
Howard M. Schwartz Canada
Lei Yu China
S. Hui relative to M.M. Bayoumi Canada M.M. Bayoumi's profile →
Citations per field
00.5×7.3×
M.M. Bayoumi · 1×
Citations per year

Countries citing papers authored by S. Hui

Since Specialization
Citations

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

Fields of papers citing papers by S. Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside S. Hui, 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. Hui Line = papers co-authored together S. Hui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20236
4 202316
5 202364
6 20225
7 20193
8
SLIDING MODE WHEEL SLIP CONTROLLER FOR AN ANTILOCK BRAKING SYSTEM
20148
9 20020
10 20025
11 19959
12 199584
13
Gaussian Mixture Models for Acoustic Interference
19942
14
Adaptive Locally Optimum Processing for Interference Suppression from Communication and Undersea Surveillance Signals
19941
15 19949
16 199440
17 1993178
18 199399
19 199271
20 19918

About S. Hui

S. Hui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Computer Graphics and Computer-Aided Design and Algebra and Number Theory, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Advanced Image Processing Techniques (8 papers), Generative Adversarial Networks and Image Synthesis (7 papers), Adaptive Control of Nonlinear Systems (6 papers), Neural dynamics and brain function (4 papers), Guidance and Control Systems (4 papers), Stability and Control of Uncertain Systems (3 papers) and Control Systems and Identification (3 papers). The work is most often cited by research in Control and Systems Engineering (466 citations), Artificial Intelligence (421 citations), Computer Vision and Pattern Recognition (170 citations), Computer Networks and Communications (180 citations) and Statistical and Nonlinear Physics (64 citations). S. Hui has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Stanisław H. Żak, Edwin K. P. Chong, Jinjun Wang, Sanping Zhou, Yen‐Chang Chen, Fi‐John Chang, Yang Wu, David C. Miller, Deyu Meng and Martin Böhner. Their work appears in journals such as IEEE Transactions on Automatic Control, Bulletin of the Polish Academy of Sciences Technical Sciences, Remote Sensing, International Journal of Vehicle Design and Hydrological Processes.

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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