Charles K. Chui

9.6k citations
111 papers · 6.5k indexed · 3 hit papers · h-index 30

Charles K. Chui

110 papers receiving 6.0k citations

Hit Papers

A universal noise removal algorithm with an impulse d...442199220262003201450010001.5k

Peers

Charles K. Chui
Comparison fields: 5 of 148
  • Computer Vision and Pattern Recognition 4.3k
  • Applied Mathematics 983
  • Computer Graphics and Computer-Aided Design 286
  • Media Technology 696
  • Signal Processing 744
Replace Emad Fatemi with:
Emad Fatemi United States
Antonin Chambolle France
L. Rudin United States
Gabriel Peyré France
Zuowei Shen Singapore
Jean‐Luc Starck France
Amir Beck Israel
Thomas Pock Austria
Marc Teboulle Israel
Wotao Yin United States
Charles K. Chui relative to Emad Fatemi United States Emad Fatemi's profile →
Citations per field
00.5×3.0×
Emad Fatemi · 1×
Citations per year

Countries citing papers authored by Charles K. Chui

Since Specialization
Citations

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

Fields of papers citing papers by Charles K. Chui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles K. Chui. 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 Charles K. Chui. The network helps show where Charles K. Chui may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202232
3 201712
4 201416
5 20118
6 2007212
7
Computational error and complexity in science and engineering: computational error and complexity
20051
8
Approximation theory X : wavelets, splines, and applications
2002123
9 20009
10 19993
11 199463
12
Wavelets : theory, algorithms, and applications
1994146
13 19931
14 19935
15 199298
16 1992269
17 199239
18 1991107
19 199139
20 197517

About Charles K. Chui

Charles K. Chui is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics and Signal Processing, having authored 111 papers that have together received 6.5k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (57 papers), Mathematical Analysis and Transform Methods (25 papers), Advanced Numerical Analysis Techniques (20 papers), Advanced Image Fusion Techniques (13 papers), Digital Filter Design and Implementation (12 papers), Machine Fault Diagnosis Techniques (10 papers), Blind Source Separation Techniques (8 papers) and Advanced machining processes and optimization (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.3k citations), Applied Mathematics (983 citations) and Computer Graphics and Computer-Aided Design (286 citations). Charles K. Chui has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Guanrong Chen, Yaobin Mao, Jianzhong Wang, Jian‐ao Lian, Seungyong Lee, Wenjie He, Roman Garnett, Qingtang Jiang, Joachim Stöckler and Henry Kang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and International Journal of Radiation Oncology*Biology*Physics.

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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2026