Md-Billal Hossain

720 total citations
32 papers, 489 citations indexed

About

Md-Billal Hossain is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Biomedical Engineering. According to data from OpenAlex, Md-Billal Hossain has authored 32 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 11 papers in Cognitive Neuroscience and 8 papers in Biomedical Engineering. Recurrent topics in Md-Billal Hossain's work include ECG Monitoring and Analysis (13 papers), Heart Rate Variability and Autonomic Control (11 papers) and EEG and Brain-Computer Interfaces (10 papers). Md-Billal Hossain is often cited by papers focused on ECG Monitoring and Analysis (13 papers), Heart Rate Variability and Autonomic Control (11 papers) and EEG and Brain-Computer Interfaces (10 papers). Md-Billal Hossain collaborates with scholars based in United States, Bangladesh and Australia. Md-Billal Hossain's co-authors include Ki H. Chon, Syed Khairul Bashar, Hugo F. Posada–Quintero, David D. McManus, Jesús Lázaro, Allan J. Walkey, Yeonsik Noh, Nataša Reljin, Youngsun Kong and Pablo Laguna and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Md-Billal Hossain

28 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md-Billal Hossain United States 13 242 162 157 41 40 32 489
Radovan Smíšek Czechia 17 667 2.8× 218 1.3× 181 1.2× 33 0.8× 48 1.2× 54 819
Ewaryst Tkacz Poland 11 203 0.8× 213 1.3× 70 0.4× 33 0.8× 18 0.5× 64 484
F. Clariá Spain 11 174 0.7× 80 0.5× 114 0.7× 35 0.9× 31 0.8× 36 465
Chungkeun Lee South Korea 12 210 0.9× 258 1.6× 58 0.4× 17 0.4× 32 0.8× 53 562
Anurag Nishad India 7 73 0.3× 98 0.6× 167 1.1× 33 0.8× 36 0.9× 13 348
Michael Lau United States 11 103 0.4× 82 0.5× 151 1.0× 12 0.3× 19 0.5× 31 418
Iοannis Kakkos Greece 12 113 0.5× 87 0.5× 378 2.4× 36 0.9× 129 3.2× 42 679
Md Aktaruzzaman Bangladesh 11 108 0.4× 151 0.9× 133 0.8× 65 1.6× 51 1.3× 31 536
Munna Khan India 12 96 0.4× 144 0.9× 43 0.3× 38 0.9× 36 0.9× 65 444
Fernando Vaquerizo-Villar Spain 15 121 0.5× 224 1.4× 194 1.2× 19 0.5× 86 2.1× 44 651

Countries citing papers authored by Md-Billal Hossain

Since Specialization
Citations

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

Fields of papers citing papers by Md-Billal Hossain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md-Billal Hossain. 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 Md-Billal Hossain. The network helps show where Md-Billal Hossain may publish in the future.

Co-authorship network of co-authors of Md-Billal Hossain

This figure shows the co-authorship network connecting the top 25 collaborators of Md-Billal Hossain. A scholar is included among the top collaborators of Md-Billal Hossain 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 Md-Billal Hossain. Md-Billal Hossain 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.
2.
Gazi, Md. Abu Issa, et al.. (2025). Halal tourism research in Indonesian context: a bibliometric analysis. Discover Sustainability. 6(1). 1 indexed citations
3.
Kong, Youngsun, et al.. (2024). Automatic motion artifact detection in electrodermal activity signals using 1D U-net architecture. Computers in Biology and Medicine. 182. 109139–109139. 1 indexed citations
4.
Freiberger, John J., Ki H. Chon, Md-Billal Hossain, et al.. (2024). Does Heart Rate Variability Predict Impairment of Operational Performance in Divers?. Sensors. 24(23). 7726–7726.
5.
Hossain, Md-Billal, Youngsun Kong, Richard E. Moon, et al.. (2024). Prediction of central nervous system oxygen toxicity symptoms using electrodermal activity and machine learning. Journal of Applied Biomedicine. 44(2). 304–311. 2 indexed citations
6.
Kong, Youngsun, et al.. (2024). Sex differences in autonomic functions and cognitive performance during cold-air exposure and cold-water partial immersion. Frontiers in Physiology. 15. 1463784–1463784. 2 indexed citations
7.
8.
Posada–Quintero, Hugo F., Md-Billal Hossain, Fernando Marmolejo‐Ramos, et al.. (2023). Autism spectrum disorder detection using variable frequency complex demodulation of the electroretinogram. Research in autism spectrum disorders. 109. 102258–102258. 9 indexed citations
9.
Hossain, Md-Billal, Paul A. Constable, Dorothy Thompson, et al.. (2023). Spectral analysis of Electroretinography to differentiate autism spectrum disorder and attention deficit hyperactivity disorder.. 1–4. 4 indexed citations
10.
Asaduzzaman, Mohammad, Md-Billal Hossain, Matthew Kelly, et al.. (2022). Partnerships in the introduction of new routine vaccines in Bangladesh: evidence from a prospective process evaluation. BMJ Open. 12(9). e061742–e061742. 1 indexed citations
11.
Hossain, Md-Billal, Paul A. Constable, Dorothy Thompson, et al.. (2022). Detecting Autism Spectrum Disorder Using Spectral Analysis of Electroretinogram and Machine Learning: Preliminary results. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 3435–3438. 25 indexed citations
12.
Hossain, Md-Billal, et al.. (2021). A Preliminary Study on Automatic Motion Artifact Detection in Electrodermal Activity Data Using Machine Learning. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 6920–6923. 11 indexed citations
13.
Bashar, Syed Khairul, Md-Billal Hossain, Jesús Lázaro, et al.. (2021). Feasibility of atrial fibrillation detection from a novel wearable armband device. SHILAP Revista de lepidopterología. 2(3). 179–191. 13 indexed citations
14.
Bashar, Syed Khairul, Md-Billal Hossain, Eric Ding, et al.. (2020). Atrial Fibrillation Detection During Sepsis: Study on MIMIC III ICU Data. IEEE Journal of Biomedical and Health Informatics. 24(11). 3124–3135. 45 indexed citations
15.
Hossain, Md-Billal, et al.. (2020). Estimation of ARMA Model Order via Artificial Neural Network for Modeling Physiological Systems. IEEE Access. 8. 186813–186820. 13 indexed citations
16.
Lázaro, Jesús, Nataša Reljin, Md-Billal Hossain, et al.. (2020). Wearable Armband Device for Daily Life Electrocardiogram Monitoring. IEEE Transactions on Biomedical Engineering. 67(12). 3464–3473. 60 indexed citations
17.
Hossain, Md-Billal, Jesús Lázaro, Yeonsik Noh, & Ki H. Chon. (2020). Denoising Wearable Armband ECG Data Using the Variable Frequency Complex Demodulation Technique. PubMed. 2020. 592–595. 10 indexed citations
18.
19.
Hossain, Md-Billal, Syed Khairul Bashar, Jesús Lázaro, et al.. (2020). A robust ECG denoising technique using variable frequency complex demodulation. Computer Methods and Programs in Biomedicine. 200. 105856–105856. 41 indexed citations
20.
Hossain, Md-Billal, et al.. (2020). Identifying peak breeding season and estimating size at first maturity of mud crab (Scylla olivacea) from a coastal region of Bangladesh. Heliyon. 6(6). e04318–e04318. 21 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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