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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:

Arrhythmia detection and classification using ECG and PPG techniques: a review
Neha Neha, H. K. Sardana, R. Kanwade, et al.
Physical and Engineering Sciences in Medicine (2021) Vol. 44, Iss. 4, pp. 1027-1048
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Identification of Coronary Artery Diseases Using Photoplethysmography Signals and Practical Feature Selection Process
Amjed Al Fahoum, Ansam Omar Abu Al-Haija, Hussam Alshraideh
Bioengineering (2023) Vol. 10, Iss. 2, pp. 249-249
Open Access | Times Cited: 40
Publication guidelines for human heart rate and heart rate variability studies in psychophysiology—Part 1: Physiological underpinnings and foundations of measurement
Karen S. Quigley, Peter J. Gianaros, Greg J. Norman, et al.
Psychophysiology (2024) Vol. 61, Iss. 9
Open Access | Times Cited: 21
Smart photonic wristband for pulse wave monitoring
Renfei Kuang, Zhuo Wang, Lin Ma, et al.
Opto-Electronic Science (2024) Vol. 3, Iss. 12, pp. 240009-240009
Open Access | Times Cited: 17
Deep Learning and Recurrence Information Analysis for the Automatic Detection of Obstructive Sleep Apnea
Daniele Padovano, Arturo Martínez‐Rodrigo, J.M. Pastor, et al.
Applied Sciences (2025) Vol. 15, Iss. 1, pp. 433-433
Open Access | Times Cited: 1
Multi-Scale and Multi-Channel Information Fusion for Exercise Electrocardiogram Feature Extraction and Classification
Jutao Wang, Fuchun Zhang, Meng Li, et al.
IEEE Access (2024) Vol. 12, pp. 36670-36679
Open Access | Times Cited: 5
Res-BiANet: A Hybrid Deep Learning Model for Arrhythmia Detection Based on PPG Signal
Yankun Wu, Qunfeng Tang, Weizong Zhan, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 665-665
Open Access | Times Cited: 4
Recent Advances in Materials and Flexible Sensors for Arrhythmia Detection
Matthew Guess, Nathan Zavanelli, Woon‐Hong Yeo
Materials (2022) Vol. 15, Iss. 3, pp. 724-724
Open Access | Times Cited: 19
MSFT: A multi-scale feature-based transformer model for arrhythmia classification
Xin Zhang, Mingjun Lin, Yong Hong, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106968-106968
Closed Access | Times Cited: 3
PPG2ECGps: An End-to-End Subject-Specific Deep Neural Network Model for Electrocardiogram Reconstruction from Photoplethysmography Signals without Pulse Arrival Time Adjustments
Qunfeng Tang, Zhencheng Chen, Rabab Ward, et al.
Bioengineering (2023) Vol. 10, Iss. 6, pp. 630-630
Open Access | Times Cited: 9
Automated Heart Rate Detection in Seismocardiograms Using Electrocardiogram-Based Algorithms—A Feasibility Study
Evgenii Pustozerov, Ulf Kulau, Urs‐Vito Albrecht
Bioengineering (2024) Vol. 11, Iss. 6, pp. 596-596
Open Access | Times Cited: 2
Feasibility of evaluation of Polar H10 chest-belt ECG in patients with a broad range of heart conditions
Tomáš Skála, Marek Vícha, Martín Rada, et al.
Cor et Vasa (2022) Vol. 64, Iss. 4, pp. 411-422
Open Access | Times Cited: 11
Detection of atrial fibrillation using a nonlinear Lorenz Scattergram and deep learning in primary care
Yi Yao, Jia Yu, Miaomiao Wu, et al.
BMC Primary Care (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
An improved ECG data compression scheme based on ensemble empirical mode decomposition
Siqi Zhao, Xien Gui, Jiacheng Zhang, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107134-107134
Closed Access | Times Cited: 1
A novel 1D generative adversarial network-based framework for atrial fibrillation detection using restored wrist photoplethysmography signals
Faizul Rakib Sayem, Mosabber Uddin Ahmed, Saadia Binte Alam, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107233-107233
Closed Access | Times Cited: 1
Automated Multi-Wavelength Quality Assessment of Photoplethysmography Signals Using Modulation Spectrum Shape Features
Abhishek Tiwari, Gordon Gray, Parker Bondi, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5606-5606
Open Access | Times Cited: 4
Automatic Detection of Atrial Fibrillation from ECG Signal Using Hybrid Deep Learning Techniques
Saroj Kumar Pandey, Gaurav Kumar, Shubham Shukla, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 6
A robust multiple heartbeats classification with weight-based loss based on convolutional neural network and bidirectional long short-term memory
Mengting Yang, Weichao Liu, Henggui Zhang
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 6
Photoplethysmograph based arrhythmia detection using morphological features
Neha Neha, H. K. Sardana, Rajesh Kanawade, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104422-104422
Closed Access | Times Cited: 6
TRCCBP: Transformer Network for Radar-Based Contactless Continuous Blood Pressure Monitoring
Xikang Jiang, Jinhui Zhang, Wenyao Mu, et al.
Sensors (2023) Vol. 23, Iss. 24, pp. 9680-9680
Open Access | Times Cited: 3
An automatic risk assessment system for sudden cardiac death using look ahead pattern
Amit Singhal, Megha Agarwal
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27243-27258
Closed Access | Times Cited: 2
Machine learning based hybrid anomaly detection technique for automatic diagnosis of cardiovascular diseases using cardiac sympathetic nerve activity and electrocardiogram
Merve Begüm Terzı, Orhan Arıkan
Biomedical Engineering / Biomedizinische Technik (2023) Vol. 69, Iss. 1, pp. 79-109
Closed Access | Times Cited: 2
Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring
Zhangdaihong Liu, Tingting Zhu, Lei Lü, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 3, pp. 1321-1330
Open Access | Times Cited: 2
A hybrid deep learning model for multiclass arrhythmia detection and classification using photoplethysmography signals
Ashok Kumar, V Praveen
Research Square (Research Square) (2024)
Open Access
Abnormalities analysis of electrocardiogram signals by using artificial intelligence
Sanjib Kumar Dhara, Nilankar Bhanja, Prabodh Khampariya
Multimedia Tools and Applications (2024)
Closed Access
Multiview Outlier Filtered Pediatric Heart Sound Classification
Sagnik Dakshit
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access
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