Pew-Thian Yap

16 papers and 627 indexed citations i.

About

Pew-Thian Yap is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Pew-Thian Yap has authored 16 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Computational Mechanics. Recurrent topics in Pew-Thian Yap’s work include Advanced Neuroimaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Pew-Thian Yap is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Pew-Thian Yap collaborates with scholars based in United States, China and South Korea. Pew-Thian Yap's co-authors include Dinggang Shen, Feng Shi, Weili Lin, Guorong Wu, Hongjun Jia, John H. Gilmore, Jian Cheng, Guy G. Potter, Lihong Wang and Jeffrey N. Browndyke and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Frontiers in Human Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Pew-Thian Yap i

Fields of papers citing papers by Pew-Thian Yap

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Pew-Thian Yap. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Pew-Thian Yap may publish in the future.

Countries citing papers authored by Pew-Thian Yap

Since Specialization
Citations

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

Rankless by CCL
2025