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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:

Improving Operating Room Efficiency: Machine Learning Approach to Predict Case-Time Duration
Matthew A. Bartek, Rajeev C. Saxena, Stuart Solomon, et al.
Journal of the American College of Surgeons (2019) Vol. 229, Iss. 4, pp. 346-354e3
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?
Andrew A. Gumbs, Isabella Frigerio, Gaya Spolverato, et al.
Sensors (2021) Vol. 21, Iss. 16, pp. 5526-5526
Open Access | Times Cited: 116
Artificial Intelligence in Operating Room Management
Valentina Bellini, Michele Russo, Tania Domenichetti, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 18
The Impact of Artificial Intelligence and Machine Learning in Organ Retrieval and Transplantation: A Comprehensive Review
David B. Olawade, Sheila Marinze, Nabeel Qureshi, et al.
Current Research in Translational Medicine (2025) Vol. 73, Iss. 2, pp. 103493-103493
Open Access | Times Cited: 2
Effect of a Predictive Model on Planned Surgical Duration Accuracy, Patient Wait Time, and Use of Presurgical Resources
Christopher T. B. Strömblad, Ryan G. Baxter-King, Amirhossein Meisami, et al.
JAMA Surgery (2021) Vol. 156, Iss. 4, pp. 315-315
Open Access | Times Cited: 59
Continuous real-time prediction of surgical case duration using a modular artificial neural network
York Jiao, Bing Xue, Chenyang Lu, et al.
British Journal of Anaesthesia (2022) Vol. 128, Iss. 5, pp. 829-837
Open Access | Times Cited: 39
Evolution of the digital operating room: the place of video technology in surgery
Samy Cheikh Youssef, Kaled Haram, Jonathan Noël, et al.
Langenbeck s Archives of Surgery (2023) Vol. 408, Iss. 1
Open Access | Times Cited: 23
Development of Predictive Model of Surgical Case Durations Using Machine Learning Approach
Jung‐Bin Park, Gyun-Ho Roh, Kwangsoo Kim, et al.
Journal of Medical Systems (2025) Vol. 49, Iss. 1
Open Access | Times Cited: 1
Machine Learning-Based Models Predicting Outpatient Surgery End Time and Recovery Room Discharge at an Ambulatory Surgery Center
Rodney A. Gabriel, Bhavya Harjai, Sierra Simpson, et al.
Anesthesia & Analgesia (2022)
Open Access | Times Cited: 32
Predicting surgical operative time in primary total knee arthroplasty utilizing machine learning models
Ingwon Yeo, Christian Klemt, Christopher M. Melnic, et al.
Archives of Orthopaedic and Trauma Surgery (2022) Vol. 143, Iss. 6, pp. 3299-3307
Closed Access | Times Cited: 32
A distributionally robust optimization approach for stochastic elective surgery scheduling with limited intensive care unit capacity
Karmel S. Shehadeh, Rema Padman
European Journal of Operational Research (2020) Vol. 290, Iss. 3, pp. 901-913
Closed Access | Times Cited: 47
Probabilistic forecasting of surgical case duration using machine learning: model development and validation
York Jiao, Anshuman Sharma, Arbi Ben Abdallah, et al.
Journal of the American Medical Informatics Association (2020) Vol. 27, Iss. 12, pp. 1885-1893
Open Access | Times Cited: 41
Stochastic optimization approaches for elective surgery scheduling with downstream capacity constraints: Models, challenges, and opportunities
Karmel S. Shehadeh, Rema Padman
Computers & Operations Research (2021) Vol. 137, pp. 105523-105523
Closed Access | Times Cited: 40
Künstliche Intelligenz im Endoskopiemanagement
Ulrike Denzer
Deleted Journal (2025)
Closed Access
Machine learning or traditional statistical methods for predictive modelling in perioperative medicine: A narrative review
Jason Mann, Mathew Lyons, John O’Rourke, et al.
Journal of Clinical Anesthesia (2025) Vol. 102, pp. 111782-111782
Closed Access
The Role of Machine Learning in Management of Operating Room: A Systematic Review
Alaa Merghani Abdelrazig Merghani, Abdullah Khaled Ahmed Esmail, Ahmed Osman, et al.
Cureus (2025)
Open Access
Can machine learning optimize the efficiency of the operating room in the era of COVID-19?
Natasha Rozario, Duncan Rozario
Canadian Journal of Surgery (2020) Vol. 63, Iss. 6, pp. E527-E529
Open Access | Times Cited: 35
Optimizing Operation Room Utilization—A Prediction Model
Benyamine Abbou, Orna Tal, Gil Frenkel, et al.
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 3, pp. 76-76
Open Access | Times Cited: 16
Feature‐driven robust surgery scheduling
Yu Wang, Yu Zhang, Minglong Zhou, et al.
Production and Operations Management (2023) Vol. 32, Iss. 6, pp. 1921-1938
Closed Access | Times Cited: 9
Genetic Algorithm for Solving the No-Wait Three-Stage Surgery Scheduling Problem
Yang-Kuei Lin, Chen-Hao Yen
Healthcare (2023) Vol. 11, Iss. 5, pp. 739-739
Open Access | Times Cited: 9
First Reported Series of Cerebral Angiography Performed at an Outpatient Center: Safety and Satisfaction Results
Tyler Scullen, Ming X. Lian, Vinay Jaikumar, et al.
Neurosurgery (2024)
Closed Access | Times Cited: 3
Forecasting a Crisis: Machine-Learning Models Predict Occurrence of Intraoperative Bradycardia Associated With Hypotension
Stuart Solomon, Rajeev C. Saxena, Moni B. Neradilek, et al.
Anesthesia & Analgesia (2020) Vol. 130, Iss. 5, pp. 1201-1210
Closed Access | Times Cited: 27
Artificial intelligence-enhanced care pathway planning and scheduling system: content validity assessment of required functionalities
Miia Jansson, Pasi Ohtonen, Timo Alalääkkölä, et al.
BMC Health Services Research (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 14
Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study
Samir Kendale, Andrew Bishara, Michael Burns, et al.
JMIR AI (2023) Vol. 2, pp. e44909-e44909
Open Access | Times Cited: 8
Artificial Intelligence Supports Decision Making during Open-Chest Surgery of Rare Congenital Heart Defects
Francesco Paolo Lo Muzio, Giacomo Rozzi, Stefano Rossi, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 22, pp. 5330-5330
Open Access | Times Cited: 19
Automatic Surgery and Anesthesia Emergence Duration Prediction Using Artificial Neural Networks
Li Huang, Xiaomin Chen, Wenzhi Liu, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 13
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