Chee‐Kong Chui
Impact in
- Health Informatics top 1%
-
- Medical Image Segmentation Techniques
- Augmented Reality Applications
Papers in
-
- Computer Graphics and Visualization Techniques 17
-
- Augmented Reality Applications 28
- Medical Image Segmentation Techniques 17
- Co-authors
- Larry L. SchumakerSim Heng OngStephen ChangBing Nan LiBinh P. NguyenChin-Boon ChngJ. D. WardAgus Pratondo
In The Last Decade
Chee‐Kong Chui
195 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Health Informatics 110
- Computer Vision and Pattern Recognition 1.2k
- Computer Graphics and Computer-Aided Design 150
- Human-Computer Interaction 200
- Numerical Analysis 178
Countries citing papers authored by Chee‐Kong Chui
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2019 | 139 | |
| 6 | 2019 | 119 | |
| 7 | 2019 | 24 | |
| 8 | 2018 | 59 | |
| 9 | 2017 | 3 | |
| 10 | 2015 | 2 | |
| 11 | 2014 | 32 | |
| 12 | 2013 | 1 | |
| 13 | 2013 | 12 | |
| 14 | 2010 | 7 | |
| 15 | 2010 | 3 | |
| 16 | Topology Independent Model for Medical Robotic Simulation | 2007 | 3 |
| 17 | 1998 | 30 | |
| 18 | 1998 | 42 | |
| 19 | 1994 | 2 | |
| 20 | Approximation Theory II, | 1976 | 258 |
About Chee‐Kong Chui
Chee‐Kong Chui is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Biomedical Engineering, Computational Mechanics and Surgery, having authored 202 papers that have together received 3.9k indexed citations. Recurring topics across this work include Soft Robotics and Applications (36 papers), Surgical Simulation and Training (31 papers), Augmented Reality Applications (28 papers), 3D Shape Modeling and Analysis (20 papers), Computer Graphics and Visualization Techniques (17 papers), Medical Image Segmentation Techniques (17 papers), Advanced Numerical Analysis Techniques (13 papers) and Elasticity and Material Modeling (12 papers). The work is most often cited by research in Health Informatics (110 citations), Computer Vision and Pattern Recognition (1.2k citations), Computer Graphics and Computer-Aided Design (150 citations), Human-Computer Interaction (200 citations) and Numerical Analysis (178 citations). Chee‐Kong Chui has collaborated with scholars based in Singapore, China and Japan. Frequent co-authors include Larry L. Schumaker, Sim Heng Ong, Stephen Chang, Bing Nan Li, Binh P. Nguyen, Chin-Boon Chng, J. D. Ward, Agus Pratondo, Yiyu Cai and Rong Wen. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, Computers in Biology and Medicine, Expert Systems with Applications, Applied Energy and Computer Aided Surgery.
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.