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:
Explaining deep learning for ECG analysis: Building blocks for auditing and knowledge discovery
Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108525-108525
Open Access | Times Cited: 7
Patrick Wagner, Temesgen Mehari, Wilhelm Haverkamp, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108525-108525
Open Access | Times Cited: 7
Showing 7 citing articles:
ECG Feature Importance Rankings: Cardiologists Vs. Algorithms
Temesgen Mehari, Ashish Sundar, Alen Bošnjaković, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2014-2024
Open Access | Times Cited: 5
Temesgen Mehari, Ashish Sundar, Alen Bošnjaković, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 4, pp. 2014-2024
Open Access | Times Cited: 5
Advancing cardiac diagnostics: Exceptional accuracy in abnormal ECG signal classification with cascading deep learning and explainability analysis
Wei Zeng, Liangmin Shan, Chengzhi Yuan, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112056-112056
Closed Access | Times Cited: 5
Wei Zeng, Liangmin Shan, Chengzhi Yuan, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112056-112056
Closed Access | Times Cited: 5
Deep Learning Applications in ECG Analysis and Disease Detection: An Investigation Study of Recent Advances
U. Sumalatha, Krishna Prakash, Srikanth Prabhu, et al.
IEEE Access (2024) Vol. 12, pp. 126258-126284
Open Access | Times Cited: 5
U. Sumalatha, Krishna Prakash, Srikanth Prabhu, et al.
IEEE Access (2024) Vol. 12, pp. 126258-126284
Open Access | Times Cited: 5
A review of evaluation approaches for explainable AI with applications in cardiology
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 4
Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 4
Prospects for artificial intelligence-enhanced electrocardiogram as a unified screening tool for cardiac and non-cardiac conditions: an explorative study in emergency care
Nils Strodthoff, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp
European Heart Journal - Digital Health (2024) Vol. 5, Iss. 4, pp. 454-460
Open Access | Times Cited: 1
Nils Strodthoff, Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp
European Heart Journal - Digital Health (2024) Vol. 5, Iss. 4, pp. 454-460
Open Access | Times Cited: 1
LORE4GroupRS: Explaining Group Recommendations Supported by a Local Rule-Based Approach
Raciel Yera, Luis Martı́nez
Lecture notes in computer science (2024), pp. 300-312
Closed Access
Raciel Yera, Luis Martı́nez
Lecture notes in computer science (2024), pp. 300-312
Closed Access
Towards explaining deep neural network-based heart age estimation
Philip Hempel, Theresa Bender, Keshav Gandhi, et al.
(2023), pp. 41-42
Closed Access | Times Cited: 1
Philip Hempel, Theresa Bender, Keshav Gandhi, et al.
(2023), pp. 41-42
Closed Access | Times Cited: 1
