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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:

Deep Convolutional Neural Networks and Learning ECG Features for Screening Paroxysmal Atrial Fibrillation Patients
Bahareh Pourbabaee, Mehrsan Javan, K. Khorasani
IEEE Transactions on Systems Man and Cybernetics Systems (2017) Vol. 48, Iss. 12, pp. 2095-2104
Closed Access | Times Cited: 387

Showing 1-25 of 387 citing articles:

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Awni Hannun, Pranav Rajpurkar, Masoumeh Haghpanahi, et al.
Nature Medicine (2018) Vol. 25, Iss. 1, pp. 65-69
Open Access | Times Cited: 2243
Deep learning for sensor-based activity recognition: A survey
Jindong Wang, Yiqiang Chen, Shuji Hao, et al.
Pattern Recognition Letters (2018) Vol. 119, pp. 3-11
Open Access | Times Cited: 1675
Deep learning for healthcare applications based on physiological signals: A review
Oliver Faust, Yuki Hagiwara, Jen Hong Tan, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 161, pp. 1-13
Closed Access | Times Cited: 899
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
Shenda Hong, Yuxi Zhou, Junyuan Shang, et al.
Computers in Biology and Medicine (2020) Vol. 122, pp. 103801-103801
Open Access | Times Cited: 356
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices
Saeed Saadatnejad, Mohammadhosein Oveisi, Matin Hashemi
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 2, pp. 515-523
Open Access | Times Cited: 353
A review on deep learning methods for ECG arrhythmia classification
Zahra Ebrahimi, Mohammad Loni, Masoud Daneshtalab, et al.
Expert Systems with Applications X (2020) Vol. 7, pp. 100033-100033
Open Access | Times Cited: 347
Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study
Mikel Cañizo, Isaac Triguero, Ángel Conde, et al.
Neurocomputing (2019) Vol. 363, pp. 246-260
Open Access | Times Cited: 322
A survey on wearable sensor modality centred human activity recognition in health care
Yan Wang, Shuang Cang, Hongnian Yu
Expert Systems with Applications (2019) Vol. 137, pp. 167-190
Open Access | Times Cited: 314
Multiscaled Fusion of Deep Convolutional Neural Networks for Screening Atrial Fibrillation From Single Lead Short ECG Recordings
Xiaomao Fan, Qihang Yao, Yunpeng Cai, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 22, Iss. 6, pp. 1744-1753
Open Access | Times Cited: 285
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review
Fatma Murat, Özal Yıldırım, Muhammed Talo, et al.
Computers in Biology and Medicine (2020) Vol. 120, pp. 103726-103726
Open Access | Times Cited: 266
Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets
Georgios Petmezas, Kostas Haris, Leandros Stefanopoulos, et al.
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102194-102194
Closed Access | Times Cited: 258
Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy
Karoline Freeman, Julia Geppert, Chris Stinton, et al.
BMJ (2021), pp. n1872-n1872
Open Access | Times Cited: 245
Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview
Wesllen Sousa Lima, Eduardo Souto, Khalil El‐Khatib, et al.
Sensors (2019) Vol. 19, Iss. 14, pp. 3213-3213
Open Access | Times Cited: 220
Automated arrhythmia classification based on a combination network of CNN and LSTM
Chen Chen, Zhengchun Hua, Ruiqi Zhang, et al.
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101819-101819
Closed Access | Times Cited: 219
Human Digital Twin for Fitness Management
Barbara Rita Barricelli, Elena Casiraghi, Jessica Gliozzo, et al.
IEEE Access (2020) Vol. 8, pp. 26637-26664
Open Access | Times Cited: 190
Precision Medicine and Artificial Intelligence: A Pilot Study on Deep Learning for Hypoglycemic Events Detection based on ECG
Mihaela Porumb, Saverio Stranges, Antonio Pescapè, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 174
Deep Learning in the Biomedical Applications: Recent and Future Status
Ryad Zemouri, Noureddine Zerhouni, Daniel Racoceanu
Applied Sciences (2019) Vol. 9, Iss. 8, pp. 1526-1526
Open Access | Times Cited: 161
Clustering-based anomaly detection in multivariate time series data
Jingbo Li, Hesam Izakian, Witold Pedrycz, et al.
Applied Soft Computing (2020) Vol. 100, pp. 106919-106919
Closed Access | Times Cited: 153
Deep Multi-Scale Fusion Neural Network for Multi-Class Arrhythmia Detection
Ruxin Wang, Jianping Fan, Ye Li
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 9, pp. 2461-2472
Open Access | Times Cited: 145
Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning
Nusrat Jahan Prottasha, Abdullah As Sami, Md. Kowsher, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 4157-4157
Open Access | Times Cited: 129
Driver stress detection via multimodal fusion using attention-based CNN-LSTM
Luntian Mou, Chao Zhou, Pengfei Zhao, et al.
Expert Systems with Applications (2021) Vol. 173, pp. 114693-114693
Closed Access | Times Cited: 122
Densely Knowledge-Aware Network for Multivariate Time Series Classification
Zhiwen Xiao, Huanlai Xing, Rong Qu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 4, pp. 2192-2204
Open Access | Times Cited: 89
A review of machine learning-based human activity recognition for diverse applications
Farzana Kulsoom, Sanam Narejo, Zahid Mehmood, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 21, pp. 18289-18324
Closed Access | Times Cited: 76
Hardware implementation of 1D-CNN architecture for ECG arrhythmia classification
Viraj Rawal, Priyank H. Prajapati, Anand D. Darji
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104865-104865
Closed Access | Times Cited: 42
Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations
Hakan Gündüz, Yusuf Yaslan, Zehra Çataltepe
Knowledge-Based Systems (2017) Vol. 137, pp. 138-148
Closed Access | Times Cited: 165
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