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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning
Christian Bock, Michael Moor, Catherine R. Jutzeler, et al.
Methods in molecular biology (2020), pp. 33-71
Closed Access | Times Cited: 20

Showing 20 citing articles:

The 2023 wearable photoplethysmography roadmap
Peter Charlton, John Allen, Raquel Bailón, et al.
Physiological Measurement (2023) Vol. 44, Iss. 11, pp. 111001-111001
Open Access | Times Cited: 42
A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications
Will Ke Wang, I.-Yuan Chen, Leeor Hershkovich, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 8016-8016
Open Access | Times Cited: 27
Oncoimmunology Meets Organs-on-Chip
Fabrizio Mattei, Sara Andreone, Arianna Mencattini, et al.
Frontiers in Molecular Biosciences (2021) Vol. 8
Open Access | Times Cited: 32
PA-NeRF, a neural radiance field model for 3D photoacoustic tomography reconstruction from limited Bscan data
Yun Zou, Yixiao Lin, Quing Zhu
Biomedical Optics Express (2024) Vol. 15, Iss. 3, pp. 1651-1651
Open Access | Times Cited: 4
Obstructive sleep apnea event detection using explainable deep learning models for a portable monitor
Ángel Serrano Alarcón, Natividad Martínez Madrid, Ralf Seepold, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 9
Improved Search in Neuroevolution Using a Neural Architecture Classifier With the CNN Architecture Encoding as Feature Vector
Jhon I. Pilataxi, Jorge E. Zambrano, Carlos A. Perez, et al.
IEEE Access (2024) Vol. 12, pp. 11987-12000
Open Access | Times Cited: 3
Predicting lethal courses in critically ill COVID-19 patients using a machine learning model trained on patients with non-COVID-19 viral pneumonia
Gregor Lichtner, Felix Balzer, Stefan Haufe, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 18
Prediction of adolescent depression from prenatal and childhood data from ALSPAC using machine learning
Arielle Yoo, Fangzhou Li, Jason Youn, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications
Will Ke Wang, I.-Yuan Chen, Leeor Hershkovich, et al.
(2022)
Open Access | Times Cited: 8
Enhanced Predictive Monitoring of Hypoglycemia in Type 1 Diabetes Using Shapelet-Based Analysis of Wearable Sensor Data
Jennifer I. Daniel Onwuchekwa, Daniel Claus, Christian Weber, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 1
Optimizing Siamese neural network with TensorRT on NVIDIA jetson nano
Abbas Aqeel Kareem, Dalal Abdulmohsin Hammood, Ruaa Ali Khamees
AIP conference proceedings (2023) Vol. 2804, pp. 020015-020015
Closed Access | Times Cited: 2
A Performance of Low-Cost NVIDIA Jetson Nano Embedded System in the Real-Time Siamese Single Object Tracking: A Comparison Study
Abbas Aqeel Kareem, Dalal Abdulmohsin Hammood, Ahmed Alchalaby, et al.
Communications in computer and information science (2022), pp. 296-310
Closed Access | Times Cited: 3
Facilitating time series classification by linear law-based feature space transformation
Marcell T. Kurbucz, Péter Pósfay, Antal Jakovác
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 3
Utranspa: Transformer-Based Network for Sparsely Viewed Photoacoustic Tomography
Zhengyan He, Qiu‐Ping Liu, Yuehua Ye, et al.
(2024)
Closed Access
Language task-based fMRI analysis using machine learning and deep learning
Elaine Kuan, Viktor Vegh, John Phamnguyen, et al.
Frontiers in Radiology (2024) Vol. 4
Open Access
Classification of the sleep-wake state through the development of a deep learning model
Ángel Serrano Alarcón, Maksym Gaiduk, Natividad Martínez Madrid, et al.
Procedia Computer Science (2024) Vol. 246, pp. 4636-4645
Open Access
LLT: An R package for linear law-based feature space transformation
Marcell T. Kurbucz, Péter Pósfay, Antal Jakovác
SoftwareX (2023) Vol. 25, pp. 101623-101623
Open Access | Times Cited: 1
Facilitating Time Series Classification by Linear Law-Based Feature Space Transformations
Marcell T. Kurbucz, Péter Pósfay, Antal Jakovác
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
Main requirements of end-to-end deep learning models for biomedical time series classification in healthcare environments
Ángel Serrano Alarcón, Natividad Martínez Madrid, Ralf Seepold, et al.
Procedia Computer Science (2022) Vol. 207, pp. 3038-3046
Open Access
Bibliography

De Gruyter eBooks (2022), pp. 413-460
Open Access
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