Daniel D.E. Wong

1.6k total citations
24 papers, 991 citations indexed

About

Daniel D.E. Wong is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Daniel D.E. Wong has authored 24 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 12 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Daniel D.E. Wong's work include Hearing Loss and Rehabilitation (12 papers), Neural dynamics and brain function (7 papers) and Speech and Audio Processing (7 papers). Daniel D.E. Wong is often cited by papers focused on Hearing Loss and Rehabilitation (12 papers), Neural dynamics and brain function (7 papers) and Speech and Audio Processing (7 papers). Daniel D.E. Wong collaborates with scholars based in Canada, France and United States. Daniel D.E. Wong's 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, Adrian G. Guggisberg and Edmund C. Lalor and has published in prestigious journals such as NeuroImage, Brain and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Daniel D.E. Wong

24 papers receiving 977 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel D.E. Wong Canada 15 873 265 243 122 116 24 991
Emma Holmes United Kingdom 15 589 0.7× 198 0.7× 94 0.4× 182 1.5× 190 1.6× 40 809
Ning Zhou United States 19 947 1.1× 611 2.3× 346 1.4× 113 0.9× 436 3.8× 49 1.0k
Dorothea Wendt Denmark 18 1.1k 1.2× 175 0.7× 177 0.7× 315 2.6× 576 5.0× 37 1.2k
Alexander J. Billig United Kingdom 12 470 0.5× 204 0.8× 57 0.2× 97 0.8× 149 1.3× 16 582
M.C. Pérez-Abalo Cuba 8 513 0.6× 329 1.2× 80 0.3× 36 0.3× 131 1.1× 20 591
Patricia Van Roon Canada 15 1.2k 1.3× 510 1.9× 159 0.7× 139 1.1× 234 2.0× 19 1.2k
Stefan Bleeck United Kingdom 14 888 1.0× 166 0.6× 359 1.5× 165 1.4× 133 1.1× 48 993
Cynthia King United States 11 1.0k 1.2× 315 1.2× 69 0.3× 397 3.3× 81 0.7× 17 1.1k
Hidehiko Okamoto Japan 20 1.1k 1.3× 588 2.2× 66 0.3× 237 1.9× 136 1.2× 61 1.3k
Lauren Calandruccio United States 20 970 1.1× 281 1.1× 497 2.0× 293 2.4× 425 3.7× 60 1.1k

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-authorship network of co-authors of Daniel D.E. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel D.E. Wong. A scholar is included among the top collaborators of Daniel D.E. Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel D.E. Wong. Daniel D.E. Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hjortkjær, Jens, Daniel D.E. Wong, Enea Ceolini, et al.. (2025). Real-time control of a hearing instrument with EEG-based attention decoding. Journal of Neural Engineering. 22(1). 16027–16027. 4 indexed citations
2.
Neff, Patrick, Sabine Leske, Daniel D.E. Wong, et al.. (2024). Cochlear implantation in adults with acquired single-sided deafness improves cortical processing and comprehension of speech presented to the non-implanted ears: a longitudinal EEG study. Brain Communications. 7(1). fcaf001–fcaf001. 1 indexed citations
3.
Pandey, Ashutosh, et al.. (2024). Towards Explainable Monaural Speaker Separation with Auditory-based Training. 572–576. 1 indexed citations
4.
Pandey, Ashutosh, et al.. (2024). Leveraging Sound Localization to Improve Continuous Speaker Separation. 621–625. 5 indexed citations
5.
Pandey, Ashutosh, et al.. (2023). Multi-input Multi-output Complex Spectral Mapping for Speaker Separation. 1070–1074. 3 indexed citations
6.
Ceolini, Enea, Jens Hjortkjær, Daniel D.E. Wong, et al.. (2020). Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception. NeuroImage. 223. 117282–117282. 51 indexed citations
7.
Liberto, Giovanni M. Di, et al.. (2019). Low-frequency cortical responses to natural speech reflect probabilistic phonotactics. NeuroImage. 196. 237–247. 40 indexed citations
8.
Cheveigné, Alain de, Giovanni M. Di Liberto, Dorothée Arzounian, et al.. (2018). Multiway canonical correlation analysis of brain data. NeuroImage. 186. 728–740. 59 indexed citations
9.
Wong, Daniel D.E., Søren A. Fuglsang, Jens Hjortkjær, et al.. (2018). A Comparison of Regularization Methods in Forward and Backward Models for Auditory Attention Decoding. Frontiers in Neuroscience. 12. 531–531. 87 indexed citations
10.
Cheveigné, Alain de, Daniel D.E. Wong, Giovanni M. Di Liberto, et al.. (2018). Decoding the auditory brain with canonical component analysis. NeuroImage. 172. 206–216. 127 indexed citations
11.
Ceolini, Enea, et al.. (2017). WHISPER: Wirelessly Synchronized Distributed Audio Sensor Platform. Zurich Open Repository and Archive (University of Zurich). 35–43. 12 indexed citations
12.
Gordon, Karen A., Daniel D.E. Wong, & Blake C. Papsin. (2013). Bilateral input protects the cortex from unilaterally-driven reorganization in children who are deaf. Brain. 136(5). 1609–1625. 166 indexed citations
13.
Guggisberg, Adrian G., Sarang S. Dalal, Johanna M. Zumer, et al.. (2011). Localization of cortico-peripheral coherence with electroencephalography. NeuroImage. 57(4). 1348–1357. 50 indexed citations
14.
Gordon, Karen A., et al.. (2011). Use It or Lose It? Lessons Learned from the Developing Brains of Children Who are Deaf and Use Cochlear Implants to Hear. Brain Topography. 24(3-4). 204–219. 61 indexed citations
15.
Dalal, Sarang S., Johanna M. Zumer, Adrian G. Guggisberg, et al.. (2011). MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG. Computational Intelligence and Neuroscience. 2011. 1–17. 95 indexed citations
16.
Valero, Jerome, et al.. (2010). Lateralization of Interimplant Timing and Level Differences in Children Who Use Bilateral Cochlear Implants. Ear and Hearing. 31(4). 441–456. 53 indexed citations
17.
Gordon, Karen A., S. Tanaka, Daniel D.E. Wong, et al.. (2010). Multiple effects of childhood deafness on cortical activity in children receiving bilateral cochlear implants simultaneously. Clinical Neurophysiology. 122(4). 823–833. 19 indexed citations
18.
Gordon, Karen A., Daniel D.E. Wong, & Blake C. Papsin. (2010). Cortical Function in Children Receiving Bilateral Cochlear Implants Simultaneously or After a Period of Interimplant Delay. Otology & Neurotology. 31(8). 1293–1299. 49 indexed citations
19.
Wong, Daniel D.E. & Karen A. Gordon. (2009). Beamformer Suppression of Cochlear Implant Artifacts in an Electroencephalography Dataset. IEEE Transactions on Biomedical Engineering. 56(12). 2851–2857. 44 indexed citations
20.
Gordon, Karen A., S. Tanaka, Daniel D.E. Wong, & Blake C. Papsin. (2008). Characterizing responses from auditory cortex in young people with several years of cochlear implant experience. Clinical Neurophysiology. 119(10). 2347–2362. 37 indexed citations

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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