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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:

Artificial Intelligence in Intracoronary Imaging
Russell J. Fedewa, Rishi Puri, Eitan Fleischman, et al.
Current Cardiology Reports (2020) Vol. 22, Iss. 7
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

COVID-19: Specific and Non-Specific Clinical Manifestations and Symptoms: The Current State of Knowledge
Jacek Baj, Hanna Karakuła‐Juchnowicz, Grzegorz Teresiński, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 6, pp. 1753-1753
Open Access | Times Cited: 414
Impact of the Burden of COVID-19 in Italy: Results of Disability-Adjusted Life Years (DALYs) and Productivity Loss
Mario Cesare Nurchis, Domenico Pascucci, Martina Sapienza, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 12, pp. 4233-4233
Open Access | Times Cited: 163
Intravascular Imaging During Percutaneous Coronary Intervention
Alexander G. Truesdell, Mirvat Alasnag, Prashant Kaul, et al.
Journal of the American College of Cardiology (2023) Vol. 81, Iss. 6, pp. 590-605
Open Access | Times Cited: 90
Baseline Chronic Comorbidity and Mortality in Laboratory-Confirmed COVID-19 Cases: Results from the PRECOVID Study in Spain
Beatriz Poblador‐Plou, Jonás Carmona‐Pírez, Ignatios Ioakeim‐Skoufa, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 14, pp. 5171-5171
Open Access | Times Cited: 107
Sequential doxycycline and colchicine combination therapy in Covid-19: The salutary effects
Hayder M. Al‐kuraishy, Ali I. Al‐Gareeb, Naeem F. Qusty, et al.
Pulmonary Pharmacology & Therapeutics (2021) Vol. 67, pp. 102008-102008
Open Access | Times Cited: 61
Changes in GFR and Albuminuria in Routine Clinical Practice and the Risk of Kidney Disease Progression
Brendon L. Neuen, Misghina Weldegiorgis, William G. Herrington, et al.
American Journal of Kidney Diseases (2021) Vol. 78, Iss. 3, pp. 350-360.e1
Closed Access | Times Cited: 47
Automatic Detection of Atherosclerotic Plaque and Calcification From Intravascular Ultrasound Images by Using Deep Convolutional Neural Networks
Yi‐Chen Li, Thau‐Yun Shen, Chien‐Cheng Chen, et al.
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (2021) Vol. 68, Iss. 5, pp. 1762-1772
Closed Access | Times Cited: 43
Research Progress of Machine Learning and Deep Learning in Intelligent Diagnosis of the Coronary Atherosclerotic Heart Disease
Haoxuan Lu, Yudong Yao, Li Wang, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 32
Use of Artificial Intelligence Including Multimodal Systems to Improve the Management of Cardiovascular Disease
Biyanka Jaltotage, Juan Lü, Girish Dwivedi
Canadian Journal of Cardiology (2024) Vol. 40, Iss. 10, pp. 1804-1812
Open Access | Times Cited: 5
The role of Yoga in working from home during the COVID-19 global lockdown
Kanupriya Sharma, Akshay Anand, Raj Kumar
Work (2020) Vol. 66, Iss. 4, pp. 731-737
Open Access | Times Cited: 42
Deep learning-based intravascular ultrasound segmentation for the assessment of coronary artery disease
Takeshi Nishi, Rikiya Yamashita, Shinji Imura, et al.
International Journal of Cardiology (2021) Vol. 333, pp. 55-59
Closed Access | Times Cited: 40
Vulnerable Atherosclerotic Plaque: Is There a Molecular Signature?
Roxana Mihaela Chiorescu, Mihaela Mocan, Andreea-Ioana Inceu, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 21, pp. 13638-13638
Open Access | Times Cited: 26
Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging
Vasileios Nittas, Paola Daniore, Constantin Landers, et al.
PLOS Digital Health (2023) Vol. 2, Iss. 1, pp. e0000189-e0000189
Open Access | Times Cited: 12
Artificial Intelligence in Cardiology: An Australian Perspective
Biyanka Jaltotage, Abdul Rahman Ihdayhid, N. Lan, et al.
Heart Lung and Circulation (2023) Vol. 32, Iss. 8, pp. 894-904
Closed Access | Times Cited: 12
Accuracy of IVUS-Based Machine Learning Segmentation Assessment of Coronary Artery Dimensions and Balloon Sizing
Mitsuaki Matsumura, Gary S. Mintz, Tomotaka Dohi, et al.
JACC Advances (2023) Vol. 2, Iss. 7, pp. 100564-100564
Open Access | Times Cited: 11
Current State and Future Perspectives of Artificial Intelligence for Automated Coronary Angiography Imaging Analysis in Patients with Ischemic Heart Disease
Mitchel Molenaar, Jasper L. Selder, Johny Nicolas, et al.
Current Cardiology Reports (2022) Vol. 24, Iss. 4, pp. 365-376
Open Access | Times Cited: 17
Innovations in Intracoronary Imaging: Present Clinical Practices and Future Outlooks
Andreas Mitsis, Christos Eftychiou, Nikolaos P.E. Kadoglou, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 14, pp. 4086-4086
Open Access | Times Cited: 3
An Overview on the Epidemiology and Immunology of COVID-19
Maryam Meskini, Mina Rezghi Rami, Parang Maroofi, et al.
Journal of Infection and Public Health (2021) Vol. 14, Iss. 10, pp. 1284-1298
Open Access | Times Cited: 22
The Application and Development of Deep Learning in Radiotherapy: A Systematic Review
Danju Huang, Han Bai, Li Wang, et al.
Technology in Cancer Research & Treatment (2021) Vol. 20
Open Access | Times Cited: 21
Deep Learning Paradigm and Its Bias for Coronary Artery Wall Segmentation in Intravascular Ultrasound Scans: A Closer Look
Vandana Kumari, Naresh Kumar, Sampath Kumar K, et al.
Journal of Cardiovascular Development and Disease (2023) Vol. 10, Iss. 12, pp. 485-485
Open Access | Times Cited: 8
Deep Learning for Detecting Supraspinatus Calcific Tendinopathy on Ultrasound Images
Pei‐Hsin Chiu, Mathieu Boudier-Réverêt, Shu-Wei Chang, et al.
Journal of Medical Ultrasound (2022) Vol. 30, Iss. 3, pp. 196-202
Open Access | Times Cited: 12
Deep learning segmentation, classification, and risk prediction of complex vascular lesions on intravascular ultrasound images
Lingbo Meng, Mingfeng Jiang, Chao Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 82, pp. 104584-104584
Closed Access | Times Cited: 5
Morphologies and composition changes in nonculprit subclinical atherosclerosis in diabetic versus nondiabetic patients with acute coronary syndrome who underwent long-term statin therapy
Pei-na Meng, Jia-cong Nong, Yi Xu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
The Evolving Role of Artificial Intelligence in Cardiac Image Analysis
Pascal Thériault-Lauzier, Robert Avram, Damini Dey, et al.
Canadian Journal of Cardiology (2021) Vol. 38, Iss. 2, pp. 214-224
Closed Access | Times Cited: 12
MAPI-Net: A context and location fusion network for multi-lesion segmentation in intravascular OCT
Su Wang, Zhili Huang, Zixuan Wang, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106559-106559
Closed Access | Times Cited: 1
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