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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:

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

Showing 26-50 of 41 citing articles:

Similarities Between Pediatric and General Hospitals Based on Fundamental Attributes of Surgery Including Cases Per Surgeon Per Workday
Richard H. Epstein, Franklin Dexter, Christian Diez, et al.
Cureus (2022)
Open Access | Times Cited: 5
Feasibility of Anesthesiologists Giving Nurse Anesthetists 30-Minute Lunch Breaks and 15-Minute Morning Breaks at a University’s Facilities
Sarah S. Titler, Franklin Dexter
Cureus (2022)
Open Access | Times Cited: 5
Impact of anesthesia resident staff assignment decisions on nurse anesthetist and anesthesia resident staff scheduling and productivity: Tutorial using data from a pediatric hospital
Sarah S. Titler, Franklin Dexter, Richard H. Epstein
Perioperative Care and Operating Room Management (2021) Vol. 24, pp. 100182-100182
Closed Access | Times Cited: 4
Implementation and prospective performance evaluation of an intraoperative duration prediction model using high throughput real-time data
York Jiao, Thomas Kannampallil
BJA Open (2024) Vol. 10, pp. 100285-100285
Open Access
Predicting nursing workload in digestive wards based on machine learning: A prospective study
Yulei Song, Xueqing Zhang, Dan Luo, et al.
Research Square (Research Square) (2024)
Open Access
Multimodal Feature Analysis for Surgery Duration Predication
Xiuwen Li, Yibing Zhan, Jun Ni, et al.
(2024), pp. 188-195
Closed Access
Artificial neural networks and machine learning in anesthesia and perioperative medicine: Reflections on the 2024 Nobel prize in physics
Yahui Xu, N. Zhang
Journal of Clinical Anesthesia (2024) Vol. 101, pp. 111737-111737
Closed Access
Predicting Robotic Hysterectomy Incision Time: Optimizing Surgical Scheduling with Machine Learning
Vaishali Shah, Halley C Yung, Jie Chi Yang, et al.
JSLS Journal of the Society of Laparoscopic & Robotic Surgeons (2024) Vol. 28, Iss. 4, pp. e2024.00040-e2024.00040
Open Access
Development and validation of an artificial intelligence system for surgical case length prediction
Adhitya Ramamurthi, Bijay Neupane, Priya Deshpande, et al.
Surgery (2024), pp. 108942-108942
Closed Access
Technological Trend Analysis for Surgical Operation Duration Estimation
Ziya Karakaya, Bahadır TATAR
The Eurasia Proceedings of Science Technology Engineering and Mathematics (2023) Vol. 23, pp. 349-360
Open Access | Times Cited: 1
Linguistic Pattern–Infused Dual-Channel Bidirectional Long Short-term Memory With Attention for Dengue Case Summary Generation From the Program for Monitoring Emerging Diseases–Mail Database: Algorithm Development Study
Yung‐Chun Chang, Yu-Wen Chiu, Ting-Wu Chuang
JMIR Public Health and Surveillance (2022) Vol. 8, Iss. 7, pp. e34583-e34583
Open Access | Times Cited: 2
Scoring Rule Nets: Beyond Mean Target Prediction in Multivariate Regression
Daan Roordink, Sibylle Hess
Lecture notes in computer science (2023), pp. 190-205
Closed Access
Using Operative Reports to Predict Heart Transplantation Survival
Marcus Klang, D. Díaz, Dennis Medved, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 2258-2261
Open Access
Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study (Preprint)
Samir Kendale, Andrew Bishara, Michael Burns, et al.
(2022)
Open Access
Summary Generation of Dengue Outbreaks from ProMED-mail Database using a Linguistic Pattern-infused Dual-channel BiLSTM (Preprint)
Yung‐Chun Chang, Yu-Wen Chiu, Ting-Wu Chuang
(2021)
Closed Access
How New Mexico Leveraged a COVID-19 Case Forecasting Model to Preemptively Address the Health Care Needs of the State: Quantitative Analysis (Preprint)
Lauren Castro, Courtney D. Shelley, Dave Osthus, et al.
(2021)
Open Access
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