Cheng Guan Koay
- Radiology, Nuclear Medicine and Imaging top 1%
- Pediatrics, Perinatology and Child Health top 5%
- Cognitive Neuroscience top 10%
- Nuclear and High Energy Physics top 10%
- Orthopedics and Sports Medicine top 5%
- Co-authors
- Peter J. BasserEvren ÖzarslanCarlo PierpaoliLin‐Ching ChangJohn D. CarewMichal E. KomloshAndrew L. AlexanderM. Okan İrfanoğlu
- Topics
- Advanced Neuroimaging Techniques and Applications (28 papers)Advanced MRI Techniques and Applications (19 papers)MRI in cancer diagnosis (11 papers)
- Cited by
- Computational MathematicsRadiology, Nuclear Medicine and ImagingOrthopedics and Sports Medicine
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Cheng Guan Koay
36 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 105
- Radiology, Nuclear Medicine and Imaging 1.4k
- Pediatrics, Perinatology and Child Health 196
- Cognitive Neuroscience 174
- Nuclear and High Energy Physics 174
- Orthopedics and Sports Medicine 165
Countries citing papers authored by Cheng Guan Koay
This map shows the geographic impact of Cheng Guan Koay'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 Cheng Guan Koay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Guan Koay more than expected).
Fields of papers citing papers by Cheng Guan Koay
This network shows the impact of papers produced by Cheng Guan Koay. 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 Cheng Guan Koay. The network helps show where Cheng Guan Koay may publish in the future.
Co-authorship network of co-authors of Cheng Guan Koay
This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Guan Koay. A scholar is included among the top collaborators of Cheng Guan Koay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cheng Guan Koay. Cheng Guan Koay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 7 | |
| 4 | 23 | |
| 5 | 28 | |
| 6 | 55 | |
| 7 | 16 | |
| 8 | 15 | |
| 9 | 3 | |
| 10 | 11 | |
| 11 | 44 | |
| 12 | 57 | |
| 13 | 117 | |
| 14 | 26 | |
| 15 | 7 | |
| 16 | 22 | |
| 17 | 34 | |
| 18 | 179 | |
| 19 | 58 | |
| 20 | Advances in data analysis of diffusion tensor imaging | 1 |
About Cheng Guan Koay
Cheng Guan Koay is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Numerical Analysis, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (28 papers), Advanced MRI Techniques and Applications (19 papers) and MRI in cancer diagnosis (11 papers). The work is most often cited by research in Computational Mathematics (80 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Orthopedics and Sports Medicine (165 citations). Cheng Guan Koay has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Peter J. Basser, Evren Özarslan, Carlo Pierpaoli, Lin‐Ching Chang, John D. Carew, Michal E. Komlosh, Andrew L. Alexander, M. Okan İrfanoğlu, Timothy M. Shepherd and Steven Kecskemeti. Their work appears in journals such as NeuroImage, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.
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.