Huy Phan

69 papers receiving 2.3k citations

Hit Papers

SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification 2022 · 170 citations
1700+2+5Years since publication100200300

Peers

Huy Phan
Comparison fields: 5 of 111
  • Cognitive Neuroscience 1.6k
  • Signal Processing 671
  • Human-Computer Interaction 234
  • Experimental and Cognitive Psychology 531
  • Physiology 581
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Citations per year

Countries citing papers authored by Huy Phan

Since Specialization
Citations

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

Fields of papers citing papers by Huy Phan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huy Phan. 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 Huy Phan. The network helps show where Huy Phan may publish in the future.

Co-authors

The 25 scholars most cited alongside Huy Phan, 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 Huy Phan Line = papers co-authored together Huy Phan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
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2019375
2
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
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2018329
3
SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification
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2022170
4
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging
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2021170
5 2021110
6 2020110
7 201899
8 201484
9 202281
10 201872
11 201866
12 201744
13 201341
14 202039
15 202332
16 202226
17 202125
18 201724
19 202223
20 201623

About Huy Phan

Huy Phan is a scholar working on Signal Processing, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Physiology and Biomedical Engineering, having authored 70 papers that have together received 2.4k indexed citations. Recurring topics across this work include Music and Audio Processing (28 papers), Speech and Audio Processing (28 papers), EEG and Brain-Computer Interfaces (26 papers), Obstructive Sleep Apnea Research (12 papers), Speech Recognition and Synthesis (10 papers), Sleep and Wakefulness Research (10 papers), Music Technology and Sound Studies (9 papers) and Muscle activation and electromyography studies (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Signal Processing (671 citations), Human-Computer Interaction (234 citations), Experimental and Cognitive Psychology (531 citations) and Physiology (581 citations). Huy Phan has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Maarten De Vos, Oliver Y. Chén, Fernando Andreotti, Navin Cooray, Alfred Mertins, Kaare B. Mikkelsen, Philipp Koch, Radoslaw Mazur, Marco Maaß and Minh C. Tran. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE/ACM Transactions on Audio Speech and Language Processing and Biomedical Signal Processing and Control.

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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