Brian Mak

86 papers and 898 indexed citations i.

About

Brian Mak is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Brian Mak has authored 86 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Signal Processing, 63 papers in Artificial Intelligence and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Brian Mak’s work include Speech and Audio Processing (59 papers), Speech Recognition and Synthesis (59 papers) and Music and Audio Processing (40 papers). Brian Mak is often cited by papers focused on Speech and Audio Processing (59 papers), Speech Recognition and Synthesis (59 papers) and Music and Audio Processing (40 papers). Brian Mak collaborates with scholars based in Hong Kong, United States and Singapore. Brian Mak's co-authors include Tom Ko, Etienne Barnard, Daniel Povey, David Snyder, J.-C. Junqua, Enrico Bocchieri, James T. Kwok, Roger Hsiao, Robert W. Blanning and Wilson Tam and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Signal Processing Letters and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

In The Last Decade

Co-authorship network of co-authors of Brian Mak i

Fields of papers citing papers by Brian Mak

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

Countries citing papers authored by Brian Mak

Since Specialization
Citations

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

Rankless by CCL
2025