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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:

A Machine Learning Approach for Postoperative Outcome Prediction: Surgical Data Science Application in a Thoracic Surgery Setting
Michele Salati, Lucia Migliorelli, Sara Moccia, et al.
World Journal of Surgery (2021) Vol. 45, Iss. 5, pp. 1585-1594
Closed Access | Times Cited: 16

Showing 16 citing articles:

Unveiling the Influence of AI Predictive Analytics on Patient Outcomes: A Comprehensive Narrative Review
Diny Dixon, Hina Sattar, Natalia Moros, et al.
Cureus (2024)
Open Access | Times Cited: 34
Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery
Wireko Andrew Awuah, Favour Tope Adebusoye, Jack Wellington, et al.
World Neurosurgery X (2024) Vol. 23, pp. 100301-100301
Open Access | Times Cited: 17
Artificial Intelligence and Machine Learning in Prediction of Surgical Complications: Current State, Applications, and Implications
Abbas M. Hassan, Aashish Rajesh, Malke Asaad, et al.
The American Surgeon (2022) Vol. 89, Iss. 1, pp. 25-30
Closed Access | Times Cited: 35
Predicting postoperative complications after pneumonectomy using machine learning: a 10-year study
Yaxuan Wang, Shiyang Xie, Jiayun Liu, et al.
Annals of Medicine (2025) Vol. 57, Iss. 1
Open Access
Artificial intelligence in thoracic surgery: a narrative review
Valentina Bellini, Marina Valente, Paolo Del Rio, et al.
Journal of Thoracic Disease (2021) Vol. 13, Iss. 12, pp. 6963-6975
Open Access | Times Cited: 28
A novel machine-learning tool to identify community risk for firearm violence: The Firearm Violence Vulnerability Index
Ann Polcari, Lea Hoefer, Tanya L. Zakrison, et al.
Journal of Trauma and Acute Care Surgery (2023) Vol. 95, Iss. 1, pp. 128-136
Closed Access | Times Cited: 7
Artificial intelligence assisted display in thoracic surgery: development and possibilities
Zhuxing Chen, Yudong Zhang, Zeping Yan, et al.
Journal of Thoracic Disease (2021) Vol. 13, Iss. 12, pp. 6994-7005
Open Access | Times Cited: 12
Artificial Intelligence Applications for Thoracic Surgeons: “The Phenomenal Cosmic Powers of the Magic Lamp”
Giacomo Cusumano, Stefano D’Arrigo, Alberto Terminella, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 13, pp. 3750-3750
Open Access | Times Cited: 1
Transforming Otolaryngology—Head and Neck Surgery
Ross W. Green, Harvey Castro
Otolaryngologic Clinics of North America (2024) Vol. 57, Iss. 5, pp. 909-918
Closed Access | Times Cited: 1
Artificial Intelligence Application for Thoracic Surgeon: “Phe-Nomenal Cosmic Powers into the Magic Lamp”
Giacomo Cusumano, Stefano D’Arrigo, Alberto Terminella, et al.
(2024)
Open Access | Times Cited: 1
The role of the diaphragm in prediction of respiratory function in the immediate postoperative period in lung cancer patients using a machine learning model
Radomir Vešović, Milan Milosavljević, Marija Punt, et al.
World Journal of Surgical Oncology (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 2
Lung Cancer Surgery in Octogenarians: Implications and Advantages of Artificial Intelligence in the Preoperative Assessment
Massimiliano Bassi, Rita Vaz Sousa, Beatrice Zacchini, et al.
Healthcare (2024) Vol. 12, Iss. 7, pp. 803-803
Open Access
A Hierarchy-driven Multi-label Network with Label Constraints for Post-operative Complication Prediction of Lung Cancer*
Danqing Hu, Bing Liu, Xiang Li, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-6
Closed Access | Times Cited: 1
Prediction of postoperative cardiopulmonary complications after lung resection in a Chinese population: A machine learning-based study
Guanghua Huang, Lei Liu, Luyi Wang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 1
Automated image-based analysis unveils acute effects due to sub-lethal pesticide doses exposure*
Gianluca Manduca, Valeria Zeni, Sara Moccia, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-4
Closed Access
Protocol for Development and Validation of Multivariable Prediction Models for Chronic Postsurgical Pain Following Video-Assisted Thoracic Surgery
Jing-Hui Hu, Haijing Shi, Zhen-Yu Han, et al.
Journal of Pain Research (2023) Vol. Volume 16, pp. 2251-2256
Open Access
The development of machine learning in lung surgery: A narrative review
Anas Taha, Dominik Valentin Flury, Bassey Enodien, et al.
Frontiers in Surgery (2022) Vol. 9
Open Access
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