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Item

Count

PDF

149

HTML

1533

Figures (1-2)

310

Tables (1-10)

305

Sum=2297

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Count

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114

Download

470

Sum=584

Apr 26, 2025 (publication date) through Apr 10, 2026

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Times Cited (7)

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World Journal of Cardiology

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1949-8462

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Cited by in CrossRef

For:	Marzoog BA, Chomakhidze P, Gognieva D, Silantyev A, Suvorov A, Abdullaev M, Mozzhukhina N, Filippova DA, Kostin SV, Kolpashnikova M, Ershova N, Ushakov N, Mesitskaya D, Kopylov P. Development and validation of a machine learning model for diagnosis of ischemic heart disease using single-lead electrocardiogram parameters. World J Cardiol 2025; 17(4): 104396 [PMID: 40308623 DOI: 10.4330/wjc.v17.i4.104396]
URL:	https://www.wjgnet.com/1949-8462/full/v17/i4/104396.htm

For:

Marzoog BA, Chomakhidze P, Gognieva D, Silantyev A, Suvorov A, Abdullaev M, Mozzhukhina N, Filippova DA, Kostin SV, Kolpashnikova M, Ershova N, Ushakov N, Mesitskaya D, Kopylov P. Development and validation of a machine learning model for diagnosis of ischemic heart disease using single-lead electrocardiogram parameters. World J Cardiol 2025; 17(4): 104396 [PMID: 40308623 DOI: 10.4330/wjc.v17.i4.104396]

URL:

https://www.wjgnet.com/1949-8462/full/v17/i4/104396.htm

Number	Citing Articles
1	Philipp Kopylov, Irina V Poluboyarinova, Sevindzh M Ismailova, Valentin V Fadeev, Abromavich Syrkin, Natalia Kuznetsova, Daria Gognieva, Peter Chomakhidze, Alexander Suvorov, Anastasia Stroeva, Basheer Abdullah Marzoog, Anna Dmitrievna Karbovskaya. Machine learning-based detection of diabetes mellitus from single-lead electrocardiography: A phenotype-stratified approach. World Journal of Cardiology 2026; 18(3): 116217 doi: 10.4330/wjc.v18.i3.116217 Abstract(24) \| Core Tip(18) \| Full Article(HTML)(109) \| Full Article with Cover (PDF)-942K(43) \| Audio-3109K(4) \| Peer-Review Report-206K(11) \| Answering Reviewers-80K(16) \| Supplementary Material-183K(12) \| Full Article (PDF)-662K(30) \| Full Article (XML)-151K(12) \| Times Cited (0) \| Total Visits (808) \| Open
2	Wenhua Song, Runze Gao, Tong Liu. Artificial Intelligence‐Enabled Electrocardiogram for the Detection and Management of Cancer Therapy‐Related Cardiotoxicity. Cancer Innovation 2025; 4(6) doi: 10.1002/cai2.70042
3	Tong Liu, Kang-Yin Chen, Gary Tse, Wen-Hua Song. Artificial intelligence-enabled single-lead electrocardiogram in early detection of ischemic heart disease. World Journal of Cardiology 2025; 17(7): 108510 doi: 10.4330/wjc.v17.i7.108510 Abstract(232) \| Core Tip(255) \| Full Article(HTML)(1035) \| Full Article with Cover (PDF)-1391K(64) \| Audio-876K(15) \| Peer-Review Report-224K(45) \| Answering Reviewers-262K(46) \| Full Article (PDF)-1084K(122) \| Full Article (XML)-55K(49) \| Times Cited (0) \| Total Visits (2984) \| Open
4	Aditya Dave, Amartya Dave, Issam D. Moussa. The Evolving Role of Artificial Intelligence and Machine Learning in the Wearable Electrocardiogram: A Primer on Wearable-Enabled Prediction of Cardiac Dysfunction. Bioengineering 2026; 13(2): 167 doi: 10.3390/bioengineering13020167
5	Philipp Kopylov, Alexander Suvorov, Sevindzh M Ismailova, Irina V Poluboyarinova, Valentin V Fadeev, Abromavich Syrkin, Natalia Kuznetsova, Daria Gognieva, Peter Chomakhidze, Anastasia Stroeva, Basheer Abdullah Marzoog, Anna Dmitrievna Karbovskaya. Discriminating diabetes mellitus from single-lead electrocardiography using machine learning and multinomial regression. World Journal of Cardiology 2026; 18(3): 116115 doi: 10.4330/wjc.v18.i3.116115 Abstract(22) \| Core Tip(17) \| Full Article(HTML)(117) \| Full Article with Cover (PDF)-2761K(30) \| Audio-1186K(2) \| Peer-Review Report-511K(13) \| Answering Reviewers-282K(11) \| Supplementary Material-285K(8) \| Full Article (PDF)-2481K(27) \| Full Article (XML)-123K(15) \| Times Cited (0) \| Total Visits (862) \| Open