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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:

Patient-specific seizure prediction based on heart rate variability and recurrence quantification analysis
Lucia Billeci, Daniela Marino, Laura Insana, et al.
PLoS ONE (2018) Vol. 13, Iss. 9, pp. e0204339-e0204339
Open Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

The connection between heart rate variability (HRV), neurological health, and cognition: A literature review
Xianghong Arakaki, Rebecca J. Arechavala, Elizabeth H. Choy, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 86
Machine learning and wearable devices of the future
Sándor Beniczky, Philippa J. Karoly, Ewan S. Nurse, et al.
Epilepsia (2020) Vol. 62, Iss. S2
Open Access | Times Cited: 124
Forecasting cycles of seizure likelihood
Philippa J. Karoly, Mark Cook, Matias I. Maturana, et al.
Epilepsia (2020) Vol. 61, Iss. 4, pp. 776-786
Open Access | Times Cited: 103
Automatic detection of epileptic seizure based on approximate entropy, recurrence quantification analysis and convolutional neural networks
Xiaozeng Gao, Xiaoyan Yan, Ping Gao, et al.
Artificial Intelligence in Medicine (2019) Vol. 102, pp. 101711-101711
Closed Access | Times Cited: 100
Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic
Benjamin H. Brinkmann, Philippa J. Karoly, Ewan S. Nurse, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 97
Seizure forecasting and cyclic control of seizures
Rachel E. Stirling, Mark Cook, David B. Grayden, et al.
Epilepsia (2020) Vol. 62, Iss. S1
Open Access | Times Cited: 90
Forecasting Seizure Likelihood With Wearable Technology
Rachel E. Stirling, David B. Grayden, Wendyl D’Souza, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 65
Predicting cardiovascular events with deep learning approach in the context of the internet of things
Sina Dami, Mahtab Yahaghizadeh
Neural Computing and Applications (2021) Vol. 33, Iss. 13, pp. 7979-7996
Closed Access | Times Cited: 49
A new epileptic seizure prediction model based on maximal overlap discrete wavelet packet transform, homogeneity index, and machine learning using ECG signals
Andrea V. Perez-Sanchez, Juan P. Amézquita-Sánchez, Martin Valtierra‐Rodriguez, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105659-105659
Closed Access | Times Cited: 21
Recent Developments and Future Directions of Wearable Skin Biosignal Sensors
Dohyung Kim, JinKi Min, Seung Hwan Ko
Advanced Sensor Research (2023) Vol. 3, Iss. 2
Open Access | Times Cited: 20
Wearable Epileptic Seizure Prediction System with Machine-Learning-Based Anomaly Detection of Heart Rate Variability
Toshitaka Yamakawa, Miho Miyajima, Koichi Fujiwara, et al.
Sensors (2020) Vol. 20, Iss. 14, pp. 3987-3987
Open Access | Times Cited: 47
Wearable Epileptic Seizure Prediction System Based on Machine Learning Techniques Using ECG, PPG and EEG Signals
David Zambrana-Vinaroz, José María Vicente-Samper, Juliana Manrique-Córdoba, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9372-9372
Open Access | Times Cited: 27
ECG-Based Semi-Supervised Anomaly Detection for Early Detection and Monitoring of Epileptic Seizures
Apostolos Karasmanoglou
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 6, pp. 5000-5000
Open Access | Times Cited: 14
Forecasting seizure likelihood from cycles of self-reported events and heart rate: a prospective pilot study
Wenjuan Xiong, Rachel E. Stirling, Daniel E. Payne, et al.
EBioMedicine (2023) Vol. 93, pp. 104656-104656
Open Access | Times Cited: 14
Heart Rate Variability as a Tool for Seizure Prediction: A Scoping Review
Federico Mason, Anna Scarabello, Lisa Taruffi, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 3, pp. 747-747
Open Access | Times Cited: 5
An approach to detect and predict epileptic seizures with high accuracy using convolutional neural networks and single-lead-ECG signal
Mostafa Ghaempour, Kourosh Hassanli, Ebrahim Abiri
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 2, pp. 025041-025041
Closed Access | Times Cited: 5
The Interplay of Sports and Nutrition in Neurological Health and Recovery
Vicente Javier Clemente‐Suárez, Laura Redondo-Flórez, Ana Isabel Beltrán-Velasco, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 7, pp. 2065-2065
Open Access | Times Cited: 5
Wearable Sensors for Assessing the Role of Olfactory Training on the Autonomic Response to Olfactory Stimulation
Alessandro Tonacci, Lucia Billeci, Irene Di Mambro, et al.
Sensors (2021) Vol. 21, Iss. 3, pp. 770-770
Open Access | Times Cited: 32
Wearable Sensors to Evaluate Autonomic Response to Olfactory Stimulation: The Influence of Short, Intensive Sensory Training
Lucia Billeci, Chiara Sanmartin, Alessandro Tonacci, et al.
Biosensors (2023) Vol. 13, Iss. 4, pp. 478-478
Open Access | Times Cited: 11
Autonomic biosignals, seizure detection, and forecasting
Gadi Miron, Mustafa Halimeh, Jesper Jeppesen, et al.
Epilepsia (2024)
Open Access | Times Cited: 4
Improving wearable-based seizure prediction by feature fusion using growing network
Tanuj Hasija, Maurice Kuschel, Michele Jackson, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy
Adriana Leal, Mauro F. Pinto, Fábio Lopes, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 25
The Challenging Path to Developing a Mobile Health Device for Epilepsy: The Current Landscape and Where We Go From Here
Ilona Hubbard, Sándor Beniczky, Philippe Ryvlin
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 25
Cross-Domain Transfer of EEG to EEG or ECG Learning for CNN Classification Models
Chia‐Yen Yang, Pin-Chen Chen, Wen-Chen Huang
Sensors (2023) Vol. 23, Iss. 5, pp. 2458-2458
Open Access | Times Cited: 10
Chemosensory analysis of emotional wines: Merging of explicit and implicit methods to measure emotions aroused by red wines
Alessandro Tonacci, Giulia Scalzini, Pierina Díaz-Guerrero, et al.
Food Research International (2024) Vol. 190, pp. 114611-114611
Closed Access | Times Cited: 3
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