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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:

Machine learning approaches in predicting ambulatory same day discharge patients after total hip arthroplasty
Haoyan Zhong, Jashvant Poeran, Alex Gu, et al.
Regional Anesthesia & Pain Medicine (2021) Vol. 46, Iss. 9, pp. 779-783
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

A Systematic Review of the Application of Artificial Intelligence in Nursing Care: Where are We, and What’s Next?
Suebsarn Ruksakulpiwat, Sutthinee Thorngthip, Atsadaporn Niyomyart, et al.
Journal of Multidisciplinary Healthcare (2024) Vol. Volume 17, pp. 1603-1616
Open Access | Times Cited: 19
Sentiment of Nurses Towards Artificial Intelligence and Resistance to Change in Healthcare Organisations: A Mixed‐Method Study
Shaimaa Mohamed Amin, Heba Emad El‐Gazar, Mohamed Ali Zoromba, et al.
Journal of Advanced Nursing (2024)
Closed Access | Times Cited: 9
A Machine Learning-Based Online Prediction Tool for Predicting Short-Term Postoperative Outcomes Following Spinal Tumor Resections
Mert Karabacak, Konstantinos Margetis
Cancers (2023) Vol. 15, Iss. 3, pp. 812-812
Open Access | Times Cited: 16
Prediction of suitable outpatient candidates following revision total knee arthroplasty using machine learning
Teja Yeramosu, Waleed Ahmad, Jibanananda Satpathy, et al.
Bone & Joint Open (2023) Vol. 4, Iss. 6, pp. 399-407
Open Access | Times Cited: 13
Machine Learning Model Developed to Aid in Patient Selection for Outpatient Total Joint Arthroplasty
Cesar D. Lopez, Jessica Ding, David P. Trofa, et al.
Arthroplasty Today (2021) Vol. 13, pp. 13-23
Open Access | Times Cited: 27
The impact of hypoalbuminemia on postoperative outcomes after outpatient surgery: a national analysis of the NSQIP database
Sean Curran, Patricia Apruzzese, Mark C. Kendall, et al.
Canadian Journal of Anesthesia/Journal canadien d anesthésie (2022) Vol. 69, Iss. 9, pp. 1099-1106
Open Access | Times Cited: 20
Daring discourse: artificial intelligence in pain medicine, opportunities and challenges
Meredith C B Adams, Ariana M. Nelson, Samer Narouze
Regional Anesthesia & Pain Medicine (2023) Vol. 48, Iss. 9, pp. 439-442
Open Access | Times Cited: 11
Developing a decision support tool to predict delayed discharge from hospitals using machine learning
Mahsa Pahlevani, Enayat Rajabi, Majid Taghavi, et al.
BMC Health Services Research (2025) Vol. 25, Iss. 1
Open Access
Artificial Intelligence for Regional Anesthesiology and Acute Pain Medicine in the 21st Century
Kristopher M. Schroeder, Monika Nanda, Edward R. Mariano, et al.
Anesthesiology Clinics (2025)
Closed Access
Concerns surrounding application of artificial intelligence in hip and knee arthroplasty
Teja S. Polisetty, Samagra Jain, Michael Pang, et al.
The Bone & Joint Journal (2022) Vol. 104-B, Iss. 12, pp. 1292-1303
Closed Access | Times Cited: 18
Predicting 30-day unplanned hospital readmission after revision total knee arthroplasty: machine learning model analysis of a national patient cohort
Tony Lin‐Wei Chen, Michelle Riyo Shimizu, Anirudh Buddhiraju, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 7, pp. 2073-2086
Closed Access | Times Cited: 3
Machine Learning Models Based on a National-Scale Cohort Identify Patients at High Risk for Prolonged Lengths of Stay Following Primary Total Hip Arthroplasty
Tony Lin‐Wei Chen, Anirudh Buddhiraju, Timothy Costales, et al.
The Journal of Arthroplasty (2023) Vol. 38, Iss. 10, pp. 1967-1972
Closed Access | Times Cited: 8
Preoperative and Perioperative Predictors of Length of Hospital Stay after Primary Total Hip Arthroplasty—Our Experience on 743 Cases
Rocco Papalia, Biagio Zampogna, Guglielmo Torre, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 21, pp. 5053-5053
Open Access | Times Cited: 19
Development and benchmarking of machine learning models to classify patients suitable for outpatient lower extremity joint arthroplasty
Haoyu Jia, Sierra Simpson, Varshini Sathish, et al.
Journal of Clinical Anesthesia (2023) Vol. 88, pp. 111147-111147
Closed Access | Times Cited: 7
Artificial intelligence and nonoperating room anesthesia
Emmanuel Pardo, Elena Le Cam, Franck Verdonk
Current Opinion in Anaesthesiology (2024) Vol. 37, Iss. 4, pp. 413-420
Closed Access | Times Cited: 2
An Overview of Commonly Used Data Sources in Observational Research in Anesthesia
Haoyan Zhong, Pa Thor, Alex Illescas, et al.
Anesthesia & Analgesia (2022) Vol. 134, Iss. 3, pp. 548-558
Closed Access | Times Cited: 12
Bone metastasis risk and prognosis assessment models for kidney cancer based on machine learning
Lichen Ji, Wei Zhang, Jia-Qing Huang, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 12
A Surgeon’s Guide to Understanding Artificial Intelligence and Machine Learning Studies in Orthopaedic Surgery
Rohan Shah, Clarissa Wong, Nicholas C. Arpey, et al.
Current Reviews in Musculoskeletal Medicine (2022) Vol. 15, Iss. 2, pp. 121-132
Open Access | Times Cited: 9
Artificial intelligence and machine learning as a viable solution for hip implant failure diagnosis—Review of literature and in vitro case study
Remya Ampadi Ramachandran, Sheng‐Wei Chi, P. Srinivasa Pai, et al.
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 6, pp. 1239-1255
Closed Access | Times Cited: 5
Can machine learning models predict prolonged length of hospital stay following primary total knee arthroplasty based on a national patient cohort data?
Tony Lin‐Wei Chen, Anirudh Buddhiraju, Henry Hojoon Seo, et al.
Archives of Orthopaedic and Trauma Surgery (2023) Vol. 143, Iss. 12, pp. 7185-7193
Closed Access | Times Cited: 5
Elevated alkaline phosphatase independently predicts early postoperative complications in noninfectious revision total shoulder arthroplasty
Steven Liu, Christian J. Leonardo, Rachel A. Loyst, et al.
European Journal of Orthopaedic Surgery & Traumatology (2024) Vol. 34, Iss. 4, pp. 2081-2087
Closed Access | Times Cited: 1
A systematic literature review of predicting patient discharges using statistical methods and machine learning
Mahsa Pahlevani, Majid Taghavi, Peter T. Vanberkel
Health Care Management Science (2024) Vol. 27, Iss. 3, pp. 458-478
Open Access | Times Cited: 1
Relative Contribution of Outpatient Arthroplasty Risk Assessment Score Medical Comorbidities to Same-Day Discharge After Primary Total Joint Arthroplasty
Hanna House, Mary Ziemba-Davis, R. Michael Meneghini
The Journal of Arthroplasty (2021) Vol. 37, Iss. 3, pp. 438-443
Closed Access | Times Cited: 10
Artificial Intelligence, Deep Learning, and Machine Learning Applications in Total Hip Arthroplasty
Emre Tokgöz
Springer eBooks (2022), pp. 231-246
Closed Access | Times Cited: 5
Predicting conversion of ambulatory ACDF patients to inpatient: a machine learning approach
Lukas Schönnagel, Soji Tani, Tu‐Lan Vu‐Han, et al.
The Spine Journal (2023) Vol. 24, Iss. 4, pp. 563-571
Closed Access | Times Cited: 2
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