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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:

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

Showing 1-25 of 39 citing articles:

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
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
Fundamentals of operating room allocation and case scheduling to minimize the inefficiency of use of the time
Franklin Dexter, Richard H. Epstein
Perioperative Care and Operating Room Management (2024) Vol. 35, pp. 100379-100379
Closed Access | Times Cited: 7
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
Digital health in surgery
Kyle Lam, James Kinross
Elsevier eBooks (2025), pp. 323-338
Closed Access
Inhalational Agent Dosing Behaviors of Anesthesia Practitioners Cause Variability in End-Tidal Concentrations at the End of Surgery and Prolonged Times to Tracheal Extubation
Franklin Dexter, Richard H. Epstein, Vivian Ip, et al.
Cureus (2024)
Open Access | Times Cited: 3
Larger anesthesia practitioner per operating room ratios are needed to prevent unnecessary non-operative time than to mitigate patient risk: A narrative review
Franklin Dexter, Richard H. Epstein, Sarah S. Titler
Journal of Clinical Anesthesia (2024) Vol. 96, pp. 111498-111498
Closed Access | Times Cited: 2
Machine learning-augmented interventions in perioperative care: a systematic review and meta-analysis
Divya Mehta, Xiomara T. Gonzalez, Grace Huang, et al.
British Journal of Anaesthesia (2024)
Open Access | Times Cited: 2
Tool-tissue force segmentation and pattern recognition for evaluating neurosurgical performance
Amir Baghdadi, Sanju Lama, Rahul Singh, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
An Intraoperative Telemedicine Program to Improve Perioperative Quality Measures
Christopher R. King, Stephen H. Gregory, Bradley A. Fritz, et al.
JAMA Network Open (2023) Vol. 6, Iss. 9, pp. e2332517-e2332517
Open Access | Times Cited: 6
Modular stochastic configuration network based prediction model for NOx emissions in municipal solid waste incineration process
Ranran Wang, Fangyu Li, Aijun Yan
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107315-107315
Closed Access | Times Cited: 6
Operating Room Usage Time Estimation with Machine Learning Models
Justin Chu, Chung-Ho Hsieh, Yi-Nuo Shih, et al.
Healthcare (2022) Vol. 10, Iss. 8, pp. 1518-1518
Open Access | Times Cited: 10
Relationship between circulating senescence‐associated secretory phenotype levels and severity of type 2 diabetes‐associated periodontitis: A cross‐sectional study
Xiuxiu Song, Ziqi Yue, Linli Fan, et al.
Journal of Periodontology (2023) Vol. 94, Iss. 8, pp. 986-996
Closed Access | Times Cited: 5
Improving case duration accuracy of orthopedic surgery using bidirectional encoder representations from Transformers (BERT) on Radiology Reports
William Zhong, Phil Y. Yao, Sri Harsha Boppana, et al.
Journal of Clinical Monitoring and Computing (2023) Vol. 38, Iss. 1, pp. 221-228
Open Access | Times Cited: 5
Evaluation of the start of surgical closure as a milestone for forecasting the time remaining to exit the operating room: A retrospective, observational cohort study
Richard H. Epstein, Franklin Dexter, Joni M. Maga, et al.
Perioperative Care and Operating Room Management (2022) Vol. 29, pp. 100280-100280
Closed Access | Times Cited: 8
Prediction of remaining surgery duration in laparoscopic videos based on visual saliency and the transformer network
Constantinos Loukas, Ioannis Seimenis, Konstantina Prevezanou, et al.
International Journal of Medical Robotics and Computer Assisted Surgery (2024) Vol. 20, Iss. 2
Closed Access | Times Cited: 1
Application of Machine Learning in Predicting Perioperative Outcomes in Patients with Cancer: A Narrative Review for Clinicians
Garry Brydges, Abhineet Uppal, Vijaya Gottumukkala
Current Oncology (2024) Vol. 31, Iss. 5, pp. 2727-2747
Open Access | Times Cited: 1
Machine learning models to predict surgical case duration compared to current industry standards: scoping review
Christopher Spence, Owais A. Shah, A Cebula, et al.
BJS Open (2023) Vol. 7, Iss. 6
Open Access | Times Cited: 4
Nonlinear regression of remaining surgery duration from videos via Bayesian LSTM-based deep negative correlation learning
Junyang Wu, Xiaoyang Zou, Rong Tao, et al.
Computerized Medical Imaging and Graphics (2023) Vol. 110, pp. 102314-102314
Closed Access | Times Cited: 4
The Use of Artificial Intelligence for Orthopedic Surgical Backlogs Such as the One Following the COVID-19 Pandemic
H Adám, Paul Van Schuyver, Kostas J. Economopoulos, et al.
JBJS Open Access (2024) Vol. 9, Iss. 3
Open Access | Times Cited: 1
Case duration prediction and estimating time remaining in ongoing cases
Franklin Dexter, Richard H. Epstein, Anil A. Marian
British Journal of Anaesthesia (2022) Vol. 128, Iss. 5, pp. 751-755
Closed Access | Times Cited: 6
Does case-mix classification affect predictions? A machine learning algorithm for surgical duration estimation
Mari Ito, Kinju Hoshino, Ryuta Takashima, et al.
Healthcare Analytics (2022) Vol. 2, pp. 100119-100119
Open Access | Times Cited: 6
Assessing the Precision of Surgery Duration Estimation: A Retrospective Study
Afnan Aljaffary, Fatimah AlAnsari, Abdulaleem Alatassi, et al.
Journal of Multidisciplinary Healthcare (2023) Vol. Volume 16, pp. 1565-1576
Open Access | Times Cited: 3
Evolving with technology: Machine learning as an opportunity for operating room nurses to improve surgical care—A commentary
Cameron S. S. Irani, Charlene H. Chu
Journal of Nursing Management (2022) Vol. 30, Iss. 8, pp. 3802-3805
Closed Access | Times Cited: 4
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