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:

An Interpretable Model for ECG Data Based on Bayesian Neural Networks
Hua Qiao, Yaqin Ye, Bo Wan, et al.
IEEE Access (2021) Vol. 9, pp. 57001-57009
Open Access | Times Cited: 6

Showing 6 citing articles:

A Review on Bayesian Deep Learning in Healthcare: Applications and Challenges
Abdullah A. Abdullah, Masoud Muhammed Hassan, Yaseen T. Mustafa
IEEE Access (2022) Vol. 10, pp. 36538-36562
Open Access | Times Cited: 66

Interpretable Machine Learning Techniques in ECG-Based Heart Disease Classification: A Systematic Review
Yehualashet Megersa Ayano, Friedhelm Schwenker, Bisrat Derebssa Dufera, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 111-111
Open Access | Times Cited: 58

Algorithms for automated diagnosis of cardiovascular diseases based on ECG data: A comprehensive systematic review
Hanna Vitaliyivna Denysyuk, Rui João Pinto, Pedro Miguel Silva, et al.
Heliyon (2023) Vol. 9, Iss. 2, pp. e13601-e13601
Open Access | Times Cited: 24

On Performance and Calibration of Natural Gradient Langevin Dynamics
Hanif Amal Robbani, Alhadi Bustamam, Risman Adnan, et al.
IEEE Access (2023) Vol. 11, pp. 53919-53931
Open Access

MBFRDH: Design of a Multimodal Bioinspired Feature Representation Deep Learning Model for Identification of Heart-Diseases
Komal S. Jaisinghani, Sandeep Malik
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 7s, pp. 691-700
Open Access

Machine Learning based Bayesian Network Models for Reverse Engineering Data Optimization
Hari Kishan Chapala, C Madhusudhana Rao, Pamulapati Satish Chandra, et al.
2022 International Conference on Edge Computing and Applications (ICECAA) (2022), pp. 1337-1340
Closed Access

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