D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Social Sciences and Humanities D-index 32 Citations 3,634 78 World Ranking 3854 National Ranking 40

Research.com Recognitions

Awards & Achievements

1978 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Linguistics
  • Artificial intelligence
  • Phonology

His primary scientific interests are in Linguistics, Cognitive psychology, Process, Visual perception and Communication. Linguistics is represented through his Reading, Phonology, Lexicon, Phonological change and Phonological rule research. His Cognitive psychology study frequently draws connections to other fields, such as Chinese characters.

His Visual perception research is multidisciplinary, incorporating perspectives in Orthography, Dyslexia, Speech perception, Experimental psychology and Phonetic transcription. His study explores the link between Communication and topics such as Visual matching that cross with problems in Phonetics and Speech recognition. His biological study spans a wide range of topics, including Orthographic projection and Perception.

His most cited work include:

  • Competing Changes as a Cause of Residue (293 citations)
  • Individual differences in language ability and language behavior (261 citations)
  • Chemical looping processes for CO2 capture and carbonaceous fuel conversion – prospect and opportunity (220 citations)

What are the main themes of his work throughout his whole career to date?

William S.-Y. Wang spends much of his time researching Linguistics, Speech recognition, Artificial intelligence, Perception and Natural language processing. His study in Historical linguistics, Lexical diffusion, Language Experience Approach, Phonology and Computational linguistics is done as part of Linguistics. His work in Speech recognition tackles topics such as Mandarin Chinese which are related to areas like Tone.

His Artificial intelligence study integrates concerns from other disciplines, such as Grammar, Set and Pattern recognition. His Perception research includes elements of Acoustics, Context and Cognitive psychology. William S.-Y. Wang interconnects Chinese characters and Stroop effect in the investigation of issues within Cognitive psychology.

He most often published in these fields:

  • Linguistics (31.47%)
  • Speech recognition (22.84%)
  • Artificial intelligence (18.97%)

What were the highlights of his more recent work (between 2014-2021)?

  • Perception (17.67%)
  • Speech recognition (22.84%)
  • Linguistics (31.47%)

In recent papers he was focusing on the following fields of study:

William S.-Y. Wang mostly deals with Perception, Speech recognition, Linguistics, Cognitive psychology and Mandarin Chinese. His research integrates issues of Psycholinguistics and Written language in his study of Perception. His Speech recognition study combines topics in areas such as Deep linguistic processing, Speech perception, Semantic memory and Phonetics.

William S.-Y. Wang works mostly in the field of Phonetics, limiting it down to topics relating to Auditory perception and, in certain cases, Natural language processing and Artificial intelligence, as a part of the same area of interest. His Linguistics research incorporates elements of Linguistic relativity and Transition. His Cognitive psychology research is multidisciplinary, relying on both Test and Target arrow.

Between 2014 and 2021, his most popular works were:

  • Delta, theta, beta, and gamma brain oscillations index levels of auditory sentence processing. (48 citations)
  • Resting State EEG-based biometrics for individual identification using convolutional neural networks (43 citations)
  • Phonological Features of Tone (31 citations)

In his most recent research, the most cited papers focused on:

  • Linguistics
  • Artificial intelligence
  • Statistics

The scientist’s investigation covers issues in Speech recognition, Perception, Identification, Noise and Linguistics. His Speech recognition study combines topics from a wide range of disciplines, such as Deep linguistic processing and Phonetics. Natural language processing and Artificial intelligence are the subject areas of his Deep linguistic processing study.

His research on Phonetics often connects related topics like Auditory perception. He has included themes like Character, Chinese characters, Psycholinguistics and Written language in his Perception study. His work deals with themes such as Speech perception, P3b and Superior temporal sulcus, which intersect with Linguistics.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Competing Changes as a Cause of Residue

William S-Y. Wang.
Language (1969)

447 Citations

Individual differences in language ability and language behavior

Charles John Fillmore;Daniel Kempler;William S.-Y. Wang.
(1979)

403 Citations

Chemical looping processes for CO2 capture and carbonaceous fuel conversion – prospect and opportunity

Liang-Shih Fan;Liang Zeng;William Wang;Siwei Luo.
Energy and Environmental Science (2012)

310 Citations

Paternal population history of East Asia: sources, patterns, and microevolutionary processes.

Tatiana Karafet;Liping Xu;Ruofu Du;William Shi Yuan Wang.
American Journal of Human Genetics (2001)

299 Citations

Vocal Physiology: Voice Production, Mechanisms and Functions

William S-Y. Wang;Osamu Fujimura.
Language (1989)

286 Citations

Speech Recoding in Reading Chinese Characters.

Ovid J. Tzeng;Daisy L. Hung;William S-Y. Wang.
Journal of Experimental Psychology: Human Learning & Memory (1977)

254 Citations

Visual lateralisation effect in reading Chinese characters

Ovid J. L. Tzeng;Daisy L. Hung;Bill Cotton;William S-Y. Wang.
Nature (1979)

237 Citations

Brain size does not predict general cognitive ability within families

P. Thomas Schoenemann;Thomas F. Budinger;Vincent M. Sarich;William Shi Yuan Wang;William Shi Yuan Wang.
Proceedings of the National Academy of Sciences of the United States of America (2000)

172 Citations

Modelling endangered languages: The effects of bilingualism and social structure

James W. Minett;William Shi Yuan Wang.
Lingua (2008)

172 Citations

The First Two R's

Ovid J. L. Tzeng;William S. Y. Wang.
American Scientist (1983)

171 Citations

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