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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:

The value of ECG changes in risk stratification of COVID‐19 patients
Luca Bergamaschi, Emanuela Concetta D’Angelo, Pasquale Paolisso, et al.
Annals of Noninvasive Electrocardiology (2021) Vol. 26, Iss. 3
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Glycated ACE2 receptor in diabetes: open door for SARS-COV-2 entry in cardiomyocyte
Nunzia D’Onofrio, Lucia Scisciola, Celestino Sardu, et al.
Cardiovascular Diabetology (2021) Vol. 20, Iss. 1
Open Access | Times Cited: 93
COVID-19 disease diagnosis from paper-based ECG trace image data using a novel convolutional neural network model
Emrah Irmak
Physical and Engineering Sciences in Medicine (2022) Vol. 45, Iss. 1, pp. 167-179
Open Access | Times Cited: 33
Effective prognostic and clinical risk stratification in COVID‐19 using multimodality biomarkers
Alexander Liu, Robert Hammond, Peter Donnelly, et al.
Journal of Internal Medicine (2023) Vol. 294, Iss. 1, pp. 21-46
Open Access | Times Cited: 15
Reshaping the healthcare world by AI-integrated wearable sensors following COVID-19
Bangul Khan, Rana Talha Khalid, Khair Ul Wara, et al.
Chemical Engineering Journal (2025) Vol. 505, pp. 159478-159478
Closed Access
Subtle changes on electrocardiogram in severe patients with COVID-19 may be predictors of treatment outcome
Illya Chaikovsky, Dmytro Dziuba, Olga Kryvova, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
Automated Detection of COVID-19 Using Deep Learning Approaches with Paper-Based ECG Reports
Mahmoud M. Bassiouni, Islam Hegazy, Nouhad Rizk, et al.
Circuits Systems and Signal Processing (2022) Vol. 41, Iss. 10, pp. 5535-5577
Open Access | Times Cited: 24
Electrocardiographic Changes in COVID-19 Patients: A Hospital-based Descriptive Study
K Deepalakshmi, Bhargavi Kumar, Karthikeyan Ramaraju, et al.
Indian Journal of Critical Care Medicine (2022) Vol. 26, Iss. 1, pp. 43-48
Open Access | Times Cited: 20
The usefulness of speckle tracking echocardiography in identifying subclinical myocardial dysfunction in young adults recovered from mild COVID‐19
Elisa Gherbesi, Luca Bergamaschi, Ignazio Cusmano, et al.
Echocardiography (2022) Vol. 39, Iss. 9, pp. 1190-1197
Open Access | Times Cited: 19
COVID-19’s influence on cardiac function: a machine learning perspective on ECG analysis
Juliana Carneiro Gomes, Maí­ra Araújo de Santana, Aras Ismael Masood, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 5, pp. 1057-1081
Open Access | Times Cited: 10
The association between coronary artery calcification and vectorcardiography in mechanically ventilated COVID-19 patients: the Maastricht Intensive Care COVID cohort
Eda Aydeniz, Frank van Rosmalen, Jip W T M de Kok, et al.
Intensive Care Medicine Experimental (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 3
Paintable Carbon Nanotube Coating-Based Textronics for Sustained Holter-Type Electrocardiography
Sławomir Boncel, Rafał G. Jędrysiak, Marek Czerw, et al.
ACS Applied Nano Materials (2022) Vol. 5, Iss. 10, pp. 15762-15774
Open Access | Times Cited: 17
Serial Assessment of Myocardial Injury Markers in Mechanically Ventilated Patients With SARS-CoV-2 (from the Prospective MaastrICCht Cohort)
Mohammed A. Ghossein, Rob Driessen, Frank van Rosmalen, et al.
The American Journal of Cardiology (2022) Vol. 170, pp. 118-127
Open Access | Times Cited: 14
Myocardial Ischemia in Patients with COVID-19 Infection: Between Pathophysiological Mechanisms and Electrocardiographic Findings
Ștefania-Teodora Duca, Adriana Chetran, Radu-Ștefan Miftode, et al.
Life (2022) Vol. 12, Iss. 7, pp. 1015-1015
Open Access | Times Cited: 14
Effects of COVID-19 on Arrhythmia
Yujia Zhan, Honghua Yue, Weitao Liang, et al.
Journal of Cardiovascular Development and Disease (2022) Vol. 9, Iss. 9, pp. 292-292
Open Access | Times Cited: 14
Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review
Jasjit S. Suri, Mahesh Maindarkar, Sudip Paul, et al.
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1543-1543
Open Access | Times Cited: 13
Electrocardiographic findings and prognostic values in patients hospitalised with COVID-19 in the World Heart Federation Global Study
Marcelo Martins Pinto Filho, Gabriela Miana de Mattos Paixão, Paulo R. Gomes, et al.
Heart (2022) Vol. 109, Iss. 9, pp. 668-673
Open Access | Times Cited: 13
Myocarditis and autoimmunity
Akira Matsumori
Expert Review of Cardiovascular Therapy (2023) Vol. 21, Iss. 6, pp. 437-451
Closed Access | Times Cited: 7
Electrocardiographic features of patients with COVID-19: One year of unexpected manifestations
Fabio Angeli, Gianpaolo Reboldi, Antonio Spanevello, et al.
European Journal of Internal Medicine (2021) Vol. 95, pp. 7-12
Open Access | Times Cited: 15
Cardiovascular complications and predictors of mortality in hospitalized patients with COVID-19: a cross-sectional study from the Indian subcontinent
Kanhai Lalani, Sneha Seshadri, Jyothi Samanth, et al.
Tropical Medicine and Health (2022) Vol. 50, Iss. 1
Open Access | Times Cited: 10
Guard Your Heart Silently
Yetong Cao, Fan Li, Huijie Chen, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2022) Vol. 6, Iss. 3, pp. 1-29
Closed Access | Times Cited: 10
Using Machine Learning Algorithms to Determine the Post-COVID State of a Person by Their Rhythmogram
Sergey V. Stasenko, Andrey Kovalchuk, E. V. Eremin, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5272-5272
Open Access | Times Cited: 5
Electrocardiographic Features and Outcome: Correlations in 124 Hospitalized Patients With COVID-19 and Cardiovascular Events
Pavani Nathala, Vidyulata Salunkhe, Harideep Samanapally, et al.
Journal of Cardiothoracic and Vascular Anesthesia (2022) Vol. 36, Iss. 8, pp. 2927-2934
Open Access | Times Cited: 9
Cardiovascular System during SARS-CoV-2 Infection
Maciej Koźlik, Adrianna Błahuszewska, Maciej Kaźmierski
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 3, pp. 1184-1184
Open Access | Times Cited: 9
A Novel Hybrid Vision Transformer CNN for COVID-19 Detection from ECG Images
Mohamed Rami Naidji, Zakaria Elberrichi
Computers (2024) Vol. 13, Iss. 5, pp. 109-109
Open Access | Times Cited: 1
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