Daniel D.E. Wong

1.6k citations
24 papers · 991 · h-index 15

Impact in

    • Hearing, Cochlea, Tinnitus, Genetics
    • Hearing Loss and Rehabilitation
    • Neural dynamics and brain function
    • EEG and Brain-Computer Interfaces
    • Neuroscience and Music Perception
    • Functional Brain Connectivity Studies

Papers in

    • Hearing Loss and Rehabilitation 12
    • Neural dynamics and brain function 7
    • Neuroscience and Music Perception 6
    • EEG and Brain-Computer Interfaces 4
    • Speech and Audio Processing 7
    • Blind Source Separation Techniques 7

Daniel D.E. Wong

24 papers receiving 977 citations

Peers

Daniel D.E. Wong
Comparison fields: 5 of 64
  • Sensory Systems 265
  • Cognitive Neuroscience 873
  • Signal Processing 243
  • Speech and Hearing 116
  • Experimental and Cognitive Psychology 122
Replace Patricia Van Roon with:
Patricia Van Roon Canada
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Citations per field
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Citations per year

Countries citing papers authored by Daniel D.E. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Daniel D.E. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel D.E. Wong. 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 Daniel D.E. Wong. The network helps show where Daniel D.E. Wong may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel D.E. Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel D.E. Wong Line = papers co-authored together Daniel D.E. Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013166
2 2018127
3 201195
4 201887
5 201161
6 201859
7 201053
8 202051
9 201150
10 201049
11 200944
12 201940
13 200837
14 201721
15 201019
16 201712
17 20245
18 20254
19 20154
20 20233

About Daniel D.E. Wong

Daniel D.E. Wong is a scholar working on Cognitive Neuroscience, Signal Processing, Artificial Intelligence, Sensory Systems and Experimental and Cognitive Psychology, having authored 24 papers that have together received 991 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (12 papers), Speech and Audio Processing (7 papers), Blind Source Separation Techniques (7 papers), Neural dynamics and brain function (7 papers), Neuroscience and Music Perception (6 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Speech Recognition and Synthesis (4 papers). The work is most often cited by research in Sensory Systems (265 citations), Cognitive Neuroscience (873 citations), Signal Processing (243 citations), Speech and Hearing (116 citations) and Experimental and Cognitive Psychology (122 citations). Daniel D.E. Wong has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Karen A. Gordon, Blake C. Papsin, Alain de Cheveigné, Jens Hjortkjær, Giovanni M. Di Liberto, Malcolm Slaney, Enea Ceolini, Søren A. Fuglsang, Johanna M. Zumer and Sarang S. Dalal. Their work appears in journals such as NeuroImage, Clinical Neurophysiology, Ear and Hearing, Brain Communications and Computational Intelligence and Neuroscience.

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.

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