Chee‐Kong Chui

157 papers receiving 2.8k citations

Peers

Chee‐Kong Chui
Comparison fields: 5 of 167
  • Health Informatics 60
  • Computer Graphics and Computer-Aided Design 133
  • Computer Vision and Pattern Recognition 779
  • Numerical Analysis 178
  • Human-Computer Interaction 164
Replace Andreas Weber⋆ with:
Andreas Weber⋆ Germany
Hong Qin United States
Rajni V. Patel Canada
Septimiu E. Salcudean Canada
Hassan Ugail United Kingdom
Nojun Kwak South Korea
Shuqiang Wang China
Kevin L. Moore United States
Kenneth E. Barner United States
Hongkai Zhao China
Chee‐Kong Chui relative to Andreas Weber⋆ Germany Andreas Weber⋆'s profile →
Citations per field
00.5×4.3×
Andreas Weber⋆ · 1×
Citations per year

Countries citing papers authored by Chee‐Kong Chui

Since Specialization
Citations

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

Fields of papers citing papers by Chee‐Kong Chui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee‐Kong 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 Chee‐Kong Chui. The network helps show where Chee‐Kong Chui may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Approximation Theory II,
1976258
2 1985161
3 2019153
4 2004120
5 2010100
6 201587
7 201485
8 201683
9 198875
10 201573
11 201862
12
Approximation theory XI : Gatlinburg 2004
200551
13 200244
14 199842
15 201941
16 201839
17 201039
18 201236
19 201236
20 201434

About Chee‐Kong Chui

Chee‐Kong Chui is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Surgery, Computational Mechanics and Mechanical Engineering, having authored 162 papers that have together received 2.9k indexed citations. Recurring topics across this work include Soft Robotics and Applications (25 papers), Augmented Reality Applications (24 papers), Surgical Simulation and Training (23 papers), 3D Shape Modeling and Analysis (14 papers), Medical Image Segmentation Techniques (11 papers), Computer Graphics and Visualization Techniques (11 papers), Advanced Numerical Analysis Techniques (9 papers) and Robotics and Sensor-Based Localization (9 papers). The work is most often cited by research in Health Informatics (60 citations), Computer Graphics and Computer-Aided Design (133 citations), Computer Vision and Pattern Recognition (779 citations), Numerical Analysis (178 citations) and Human-Computer Interaction (164 citations). Chee‐Kong Chui has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Larry L. Schumaker, Binh P. Nguyen, Chin-Boon Chng, Sim Heng Ong, J. D. Ward, Agus Pratondo, Yiyu Cai, Rong Wen, Matthew Chin Heng Chua and Sim‐Heng Ong. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Computers in Biology and Medicine, Mathematics of Computation, Computer Aided Surgery and Expert Systems with Applications.

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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