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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:

Interpretation and Classification of Arrhythmia Using Deep Convolutional Network
Prateek Singh, Ambalika Sharma
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 37

Showing 26-50 of 37 citing articles:

Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly?
Leonardo Arrighi, Sylvio Barbon, Felice Andrea Pellegrino, et al.
Communications in computer and information science (2023), pp. 420-432
Closed Access | Times Cited: 4
A survey of internet of medical things: technology, application and future directions
Peng He, Dexiu Huang, Dapeng Wu, et al.
Digital Communications and Networks (2024)
Open Access
Intelligent algorithms powered smart devices for atrial fibrillation discrimination
Liping Xie, Lindong Wang, Delin Mo, et al.
Biomedical Signal Processing and Control (2024) Vol. 103, pp. 107480-107480
Closed Access
Fusion of automatically learned rhythm and morphology features matches diagnostic criteria and enhances AI explainability
Alexander Hammer, Marc Goettling, Hagen Malberg, et al.
Research Square (Research Square) (2024)
Open Access
Accurate Model for Arrhythmia Classification Using Hybrid “Attention-based Convolutional Neural Network (ACNN) and Gated Recurrent Units (GRU)” with Explainable Artificial Intelligence (XAI)
Arda Ardiyansyah, Satria Mandala
(2024), pp. 57-64
Closed Access
Enhancing Arrhythmia Classification and Prediction using Deep Learning
S. Nagini, C. P. Suresh, V. Divya
(2024), pp. 1-8
Closed Access
GeneAI 3.0: Powerful, Novel, Generalized Hybrid and Ensemble Deep Learning Frameworks for miRNA Classification of species-specific Stationary Patterns from Nucleotides
Jaskaran Singh, Narendra N. Khanna, Ranjeet Kumar Rout, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access | Times Cited: 1
ClusteredSHAP: Faster GradientExplainer based on K-means Clustering and Selections of Gradients in Explaining 12-Lead ECG Classification Model
Bo-Yu Mo, Sirapop Nuannimnoi, Angger Baskoro, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 1
Recurrent Ascendancy Feature Subset Training Model using Deep CNN Model for ECG based Arrhythmia Classification
Shaik Janbhasha, S Nagakishore Bhavanam
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access
A Review of Evaluation Approaches for Explainable AI With Applications in Cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
(2023)
Open Access
Exploring ECG Signal Analysis Techniques for Arrhythmia Detection: A Review
Et al. Sandhya Samant
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 9, pp. 4881-4896
Open Access
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