Say Song Goh

38 papers and 263 indexed citations i.

About

Say Song Goh is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Say Song Goh has authored 38 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Applied Mathematics, 19 papers in Computer Vision and Pattern Recognition and 9 papers in Computational Mechanics. Recurrent topics in Say Song Goh’s work include Mathematical Analysis and Transform Methods (28 papers), Image and Signal Denoising Methods (19 papers) and Digital Filter Design and Implementation (8 papers). Say Song Goh is often cited by papers focused on Mathematical Analysis and Transform Methods (28 papers), Image and Signal Denoising Methods (19 papers) and Digital Filter Design and Implementation (8 papers). Say Song Goh collaborates with scholars based in Singapore, United Kingdom and Denmark. Say Song Goh's co-authors include Ole Christensen, Tim N.T. Goodman, Qingtang Jiang, Charles A. Micchelli, Zuowei Shen, S.L. Lee, Von Bing Yap, S. L. Lee, Bin Han and Zhiping Lin and has published in prestigious journals such as IEEE Transactions on Signal Processing, Mathematics of Computation and Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Say Song Goh i

Fields of papers citing papers by Say Song Goh

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 Say Song Goh. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Say Song Goh may publish in the future.

Countries citing papers authored by Say Song Goh

Since Specialization
Citations

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

Rankless by CCL
2025