Huy Phan

3.8k total citations · 4 hit papers
70 papers, 2.4k citations indexed

About

Huy Phan is a scholar working on Signal Processing, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Huy Phan has authored 70 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Signal Processing, 33 papers in Cognitive Neuroscience and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Huy Phan's work include Speech and Audio Processing (28 papers), Music and Audio Processing (28 papers) and EEG and Brain-Computer Interfaces (26 papers). Huy Phan is often cited by papers focused on Speech and Audio Processing (28 papers), Music and Audio Processing (28 papers) and EEG and Brain-Computer Interfaces (26 papers). Huy Phan collaborates with scholars based in United Kingdom, Germany and United States. Huy Phan's 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 Philipp Koch and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Huy Phan

69 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

2019 375 citations Huy Phan, Fernando Andreotti et al. IEEE Transactions on Neural Systems and Rehabilitation Engineering profile →
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

2018 329 citations Huy Phan, Fernando Andreotti et al. IEEE Transactions on Biomedical Engineering profile →
SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification

2022 170 citations Huy Phan, Kaare B. Mikkelsen et al. IEEE Transactions on Biomedical Engineering profile →
XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging

2021 170 citations Huy Phan, Oliver Y. Chén et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Huy Phan United Kingdom	20	1.6k	671	581	531	364	70	2.4k
Mohammed Imamul Hassan Bhuiyan Bangladesh	22	1.5k 1.0×	759 1.1×	239 0.4×	355 0.7×	425 1.2×	77	2.2k
Ahnaf Rashik Hassan Bangladesh	25	2.1k 1.3×	954 1.4×	560 1.0×	539 1.0×	613 1.7×	32	2.7k
Manish Sharma India	35	2.2k 1.4×	883 1.3×	383 0.7×	628 1.2×	693 1.9×	112	3.2k
Akara Supratak Thailand	8	1.1k 0.7×	284 0.4×	348 0.6×	387 0.7×	203 0.6×	22	1.4k
Stéphane Bonnet France	20	1.4k 0.9×	284 0.4×	121 0.2×	242 0.5×	392 1.1×	78	2.2k
Sazali Yaacob Malaysia	27	726 0.5×	594 0.9×	109 0.2×	834 1.6×	286 0.8×	150	2.4k
Rajesh Kumar Tripathy India	31	1.3k 0.8×	516 0.8×	181 0.3×	279 0.5×	647 1.8×	106	2.8k
Daniel Álvarez Spain	33	990 0.6×	258 0.4×	1.7k 2.9×	269 0.5×	1.0k 2.8×	129	3.1k
Alpo Värri Finland	22	1.1k 0.7×	227 0.3×	310 0.5×	432 0.8×	637 1.8×	105	1.9k
G. Castellanos-Domínguez Colombia	20	481 0.3×	490 0.7×	265 0.5×	118 0.2×	175 0.5×	195	1.8k

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-authorship network of co-authors of Huy Phan

This figure shows the co-authorship network connecting the top 25 collaborators of Huy Phan. A scholar is included among the top collaborators of Huy Phan 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 Huy Phan. Huy Phan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Phan, Huy, et al.. (2025). AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 33. 2695–2706. 4 indexed citations

Autthasan, Phairot, Rattanaphon Chaisaen, Huy Phan, Maarten De Vos, & Theerawit Wilaiprasitporn. (2024). MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification. IEEE Internet of Things Journal. 11(17). 28539–28554. 11 indexed citations

Chatzichristos, Christos, et al.. (2024). CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 32. 840–849. 8 indexed citations

Benetos, Emmanouil, et al.. (2024). ATGNN: Audio Tagging Graph Neural Network. IEEE Signal Processing Letters. 31. 825–829. 5 indexed citations

Wang, Jing, Xuehui Wang, Xiaojun Ning, et al.. (2024). Subject-Adaptation Salient Wave Detection Network for Multimodal Sleep Stage Classification. IEEE Journal of Biomedical and Health Informatics. 29(3). 2172–2184. 3 indexed citations

Phan, Huy, Oliver Y. Chén, Minh C. Tran, et al.. (2023). L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging. IEEE Journal of Biomedical and Health Informatics. 27(10). 4748–4757. 32 indexed citations

Chén, Oliver Y., Florian Lipsmeier, Huy Phan, et al.. (2023). Personalized Longitudinal Assessment of Multiple Sclerosis Using Smartphones. IEEE Journal of Biomedical and Health Informatics. 27(7). 3633–3644. 4 indexed citations

Phan, Huy, Alfred Mertins, & Mathias Baumert. (2022). Pediatric Automatic Sleep Staging: A Comparative Study of State-of-the-Art Deep Learning Methods. IEEE Transactions on Biomedical Engineering. 69(12). 3612–3622. 17 indexed citations

Phan, Huy & Kaare B. Mikkelsen. (2022). Automatic sleep staging of EEG signals: recent development, challenges, and future directions. Physiological Measurement. 43(4). 04TR01–04TR01. 81 indexed citations

10.

Phan, Huy, et al.. (2022). From unsupervised to semi-supervised adversarial domain adaptation in electroencephalography-based sleep staging. Journal of Neural Engineering. 19(3). 36044–36044. 26 indexed citations

11.

Phan, Huy, Kaare B. Mikkelsen, Oliver Y. Chén, et al.. (2022). SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification. IEEE Transactions on Biomedical Engineering. 69(8). 2456–2467. 170 indexed citations breakdown →

12.

Mikkelsen, Kaare B., Huy Phan, Mike Lind Rank, et al.. (2021). Sleep Monitoring Using Ear-Centered Setups: Investigating the Influence From Electrode Configurations. IEEE Transactions on Biomedical Engineering. 69(5). 1564–1572. 25 indexed citations

13.

Autthasan, Phairot, Rattanaphon Chaisaen, Thapanun Sudhawiyangkul, et al.. (2021). MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification. IEEE Transactions on Biomedical Engineering. 69(6). 2105–2118. 110 indexed citations

14.

Chén, Oliver Y., Florian Lipsmeier, Huy Phan, et al.. (2020). Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones. IEEE Transactions on Biomedical Engineering. 67(12). 3491–3500. 39 indexed citations

15.

Phan, Huy, Oliver Y. Chén, Philipp Koch, et al.. (2020). Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning. IEEE Transactions on Biomedical Engineering. 68(6). 1787–1798. 110 indexed citations

16.

McLoughlin, Ian, Zhipeng Xie, Yan Song, Huy Phan, & Ramaswamy Palaniappan. (2019). Time–Frequency Feature Fusion for Noise Robust Audio Event Classification. Circuits Systems and Signal Processing. 39(3). 1672–1687. 13 indexed citations

17.

Phan, Huy, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, & Maarten De Vos. (2019). SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(3). 400–410. 375 indexed citations breakdown →

18.

Phan, Huy, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, & Maarten De Vos. (2018). Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification. IEEE Transactions on Biomedical Engineering. 66(5). 1285–1296. 329 indexed citations breakdown →

19.

Andreotti, Fernando, Huy Phan, & Maarten De Vos. (2018). Visualising Convolutional Neural Network Decisions in Automatic Sleep Scoring. Kent Academic Repository (University of Kent). 70–81. 15 indexed citations

20.

Phan, Huy & Alfred Mertins. (2014). Exploring superframe co-occurrence for acoustic event recognition. Kent Academic Repository (University of Kent). 631–635. 4 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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