Daniel D.E. Wong

1.6k citations
27 papers · 1.1k · h-index 15

Impact in

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

Papers in

    • Hearing Loss and Rehabilitation 12
    • Neural dynamics and brain function 5
    • EEG and Brain-Computer Interfaces 4
    • Neuroscience and Music Perception 4
    • Speech and Audio Processing 8
    • Blind Source Separation Techniques 6
    • Music and Audio Processing 4

Daniel D.E. Wong

24 papers receiving 1.0k citations

Peers

Daniel D.E. Wong
Comparison fields: 5 of 66
  • Cognitive Neuroscience 851
  • Sensory Systems 156
  • Signal Processing 235
  • Speech and Hearing 65
  • Experimental and Cognitive Psychology 111
Replace Joshua M. Alexander with:
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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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013174
2 2018138
3 201197
4 201892
5 201167
6 201864
7 202057
8 201055
9 201153
10 201052
11 200946
12 201940
13 200839
14 201724
15 201022
16 201712
17 20257
18 20246
19 20155
20 20233

About Daniel D.E. Wong

Daniel D.E. Wong is a scholar working on Cognitive Neuroscience, Signal Processing, Artificial Intelligence, Experimental and Cognitive Psychology and Computational Mechanics, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (12 papers), Speech and Audio Processing (8 papers), Blind Source Separation Techniques (6 papers), Neural dynamics and brain function (5 papers), Speech Recognition and Synthesis (5 papers), Music and Audio Processing (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Neuroscience and Music Perception (4 papers). The work is most often cited by research in Cognitive Neuroscience (851 citations), Sensory Systems (156 citations), Signal Processing (235 citations), Speech and Hearing (65 citations) and Experimental and Cognitive Psychology (111 citations). Daniel D.E. Wong has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Karen A. Gordon, Blake C. Papsin, Alain de Cheveigné, Jens Hjortkjær, Giovanni M. Di Liberto, Malcolm Slaney, Søren A. Fuglsang, Enea Ceolini, Edmund C. Lalor and Sarang S. Dalal. Their work appears in journals such as NeuroImage, Clinical Neurophysiology, IEEE Transactions on Biomedical Engineering, Brain Topography and Ear and Hearing.

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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