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:

Emerging ECG methods for acute coronary syndrome detection: Recommendations & future opportunities
Salah S. Al‐Zaiti, Robert A. MacLeod, Peter van Dam, et al.
Journal of Electrocardiology (2022) Vol. 74, pp. 65-72
Closed Access | Times Cited: 14

Showing 14 citing articles:

Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction
Salah S. Al‐Zaiti, Christian Martin‐Gill, Jessica K. Zègre‐Hemsey, et al.
Nature Medicine (2023) Vol. 29, Iss. 7, pp. 1804-1813
Open Access | Times Cited: 111

Integrating multimodal information in machine learning for classifying acute myocardial infarction
Ran Xiao, Cheng Ding, Xiao Hu, et al.
Physiological Measurement (2023) Vol. 44, Iss. 4, pp. 044002-044002
Open Access | Times Cited: 13

Artificial Intelligence Detection of Occlusive Myocardial Infarction from Electrocardiograms Interpreted as “Normal” by Conventional Algorithms
Shifa R. Karim, Hans C. Helseth, Peter O. Baker, et al.
Journal of Personalized Medicine (2025) Vol. 15, Iss. 4, pp. 130-130
Open Access

Dual network conductive hydrogel for robust epidermal electrode patches
Ke Wu, Andeng Liu, Yangyang Chen, et al.
Materials Today Communications (2025), pp. 112096-112096
Closed Access

Incorporation of Serial 12-Lead Electrocardiogram With Machine Learning to Augment the Out-of-Hospital Diagnosis of Non-ST Elevation Acute Coronary Syndrome
Zeineb Bouzid, Ziad Faramand, Christian Martin‐Gill, et al.
Annals of Emergency Medicine (2022) Vol. 81, Iss. 1, pp. 57-69
Closed Access | Times Cited: 13

Advanced repeated structuring and learning procedure to detect acute myocardial ischemia in serial 12-lead ECGs
Agnese Sbrollini, C. Cato ter Haar, Chiara Leoni, et al.
Physiological Measurement (2023) Vol. 44, Iss. 8, pp. 084003-084003
Open Access | Times Cited: 4

Integrative review of electrocardiographic characteristics in patients with reduced, mildly reduced, and preserved heart failure
Sunita Pokhrel Bhattarai, Robert Block, Ying Xue, et al.
Heart & Lung (2023) Vol. 63, pp. 142-158
Closed Access | Times Cited: 4

Context-independent identification of myocardial ischemia in the prehospital ECG of chest pain patients
Cees A. Swenne, C. Cato ter Haar
Journal of Electrocardiology (2023) Vol. 82, pp. 34-41
Open Access | Times Cited: 3

Machine Learning for the ECG Diagnosis and Risk Stratification of Occlusion Myocardial Infarction at First Medical Contact
Salah S. Al‐Zaiti, Christian Martin‐Gill, Jessica K. Zègre‐Hemsey, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2

Survival outcomes correlate with the level of cell-free circulating DNA in ST-elevation myocardial infarction
Aiai Chu, Hanxiang Gao, Tingting Wu, et al.
Journal of Research in Medical Sciences (2024) Vol. 29, Iss. 1
Open Access

Advancements in Microwave Technology for Congestive Heart Failure Diagnosis
M. Abdel-Aleim M., Moath Alathbah, Fatma Taher, et al.
2022 International Telecommunications Conference (ITC-Egypt) (2024), pp. 774-780
Closed Access

Secondary electrocardiographic stratification of NSTEMI to identify an acutely occluded culprit artery
Dillon J. Dzikowicz, Mary G. Carey
Physiological Measurement (2023) Vol. 44, Iss. 7, pp. 07TR01-07TR01
Open Access | Times Cited: 1

Post hoc labeling an acute ECG as ischemic or non-ischemic based on clinical data: A necessary challenge
C. Cato ter Haar, Cees A. Swenne
Journal of Electrocardiology (2023) Vol. 81, pp. 75-79
Open Access | Times Cited: 1

ML for MI - Integrating Multimodal Information in Machine Learning for Predicting Acute Myocardial Infarction
Ran Xiao, Cheng Ding, Xiao Hu, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1

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