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:

Using machine learning to improve survival prediction after heart transplantation
Brian Ayers, Tüomas Sandholm, Igor Gošev, et al.
Journal of Cardiac Surgery (2021) Vol. 36, Iss. 11, pp. 4113-4120
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Machine learning and artificial intelligence in cardiac transplantation: A systematic review
Vinci Naruka, Arian Arjomandi Rad, Hariharan Subbiah Ponniah, et al.
Artificial Organs (2022) Vol. 46, Iss. 9, pp. 1741-1753
Open Access | Times Cited: 31

How Will Artificial Intelligence Shape the Future of Decision-Making in Congenital Heart Disease?
Alice Pozza, Luca Zanella, Biagio Castaldi, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 10, pp. 2996-2996
Open Access | Times Cited: 7

Artificial intelligence in cardiac surgery: A systematic review
Ralf Martz Sulague, Francis Joshua Beloy, Jillian Reeze Medina, et al.
World Journal of Surgery (2024) Vol. 48, Iss. 9, pp. 2073-2089
Open Access | Times Cited: 5

The Emerging and Important Role of Artificial Intelligence in Cardiac Surgery
Rashmi Nedadur, Nitish Bhatt, Tom Liu, et al.
Canadian Journal of Cardiology (2024) Vol. 40, Iss. 10, pp. 1865-1879
Closed Access | Times Cited: 5

Prediction of Cardiovascular Disease on Self-Augmented Datasets of Heart Patients Using Multiple Machine Learning Models
Sumaira Ahmed, Salahuddin Shaikh, Farwa Ikram, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-21
Open Access | Times Cited: 20

Artificial intelligence, big data and heart transplantation: Actualities
Vittorio Palmieri, Andrea Montisci, Maria Teresa Vietri, et al.
International Journal of Medical Informatics (2023) Vol. 176, pp. 105110-105110
Open Access | Times Cited: 10

Survival machine learning methods for mortality prediction after heart transplantation in the contemporary era
Lathan Liou, Elizabeth Mostofsky, Laura L. Lehman, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0313600-e0313600
Open Access

Mortality prediction of heart transplantation using machine learning models: a systematic review and meta-analysis
Ida Mohammadi, Setayesh Farahani, Amin Karimi, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access

Artificial Intelligence Approaches for Predicting the Risks of Durable Mechanical Circulatory Support Therapy and Cardiac Transplantation
Chloe Grzyb, Dongping Du, Nandini Nair
Journal of Clinical Medicine (2024) Vol. 13, Iss. 7, pp. 2076-2076
Open Access | Times Cited: 3

Artificial intelligence guidance of advanced heart failure therapies: A systematic scoping review
Mohammad Al‐Ani, Chen Bai, Amal Hashky, et al.
Frontiers in Cardiovascular Medicine (2023) Vol. 10
Open Access | Times Cited: 8

Machine learning in medicine: It has arrived, let's embrace it
Scott Pappada
Journal of Cardiac Surgery (2021) Vol. 36, Iss. 11, pp. 4121-4124
Open Access | Times Cited: 15

Big Data in cardiac surgery: real world and perspectives
Andrea Montisci, Vittorio Palmieri, Maria Teresa Vietri, et al.
Journal of Cardiothoracic Surgery (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 11

Comparison and use of explainable machine learning-based survival models for heart failure patients
Tao Shi, Jianping Yang, Ningli Zhang, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2

Extracorporeal membrane oxygenation as a bridge to advanced heart failure therapies
Deepak Acharya, Nabin Manandhar-Shrestha, Marzia Leacche, et al.
The Journal of Heart and Lung Transplantation (2023) Vol. 42, Iss. 8, pp. 1059-1071
Closed Access | Times Cited: 5

Feature Importance of Acute Rejection among Black Kidney Transplant Recipients by Utilizing Random Forest Analysis: An Analysis of the UNOS Database
Charat Thongprayoon, Caroline C. Jadlowiec, Napat Leeaphorn, et al.
Medicines (2021) Vol. 8, Iss. 11, pp. 66-66
Open Access | Times Cited: 11

Artificial Intelligence and the Medicine of the Future
Richard Woodman, Arduino A Mangoni
Practical issues in geriatrics (2023), pp. 175-204
Closed Access | Times Cited: 4

Impact of artificial intelligence in medical imaging
Milagi Pandian S. Atheena, Murugan Rashika, Manoj Kumar N. Sri, et al.
i-manager’s Journal on Image Processing (2024) Vol. 11, Iss. 1, pp. 34-34
Closed Access | Times Cited: 1

Artificial intelligence's role in vascular surgery decision-making
Devin S. Zarkowsky, David P. Stonko
Seminars in Vascular Surgery (2021) Vol. 34, Iss. 4, pp. 260-267
Closed Access | Times Cited: 9

Postoperative high-sensitivity troponin T predicts 1-year mortality and days alive and out of hospital after orthotopic heart transplantation
René M’Pembele, Sebastian Roth, Anthony Nucaro, et al.
European journal of medical research (2023) Vol. 28, Iss. 1
Open Access | Times Cited: 3

Different Routes or Methods of Application for Dimensionality Reduction in Multicenter Studies Databases
Nisa Boukichou-Abdelkader, Miguel Ángel Montero Alonso, Alberto Muñoz-García
Mathematics (2022) Vol. 10, Iss. 5, pp. 696-696
Open Access | Times Cited: 4

Artificial Intelligence in Cardiac Surgery: A Systematic Review
Ralf Martz Sulague, Francis Joshua Beloy, Jillian Reeze Medina, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2

The current and future role of artificial intelligence in optimizing donor organ utilization and recipient outcomes in heart transplantation
Samuel F. Carlson, Mohammed A. Kamalia, Michael T. Zimermann, et al.
Heart Vessels and Transplantation (2022) Vol. 6, Iss. Issue 4, pp. 195-195
Open Access | Times Cited: 3

Survival Machine Learning Methods for Mortality Prediction After Heart Transplantation
Lathan Liou, Elizabeth Mostofsky, Laura L. Lehman, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1

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