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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:

Development of machine learning algorithms for prediction of prolonged opioid prescription after surgery for lumbar disc herniation
Aditya V. Karhade, Paul T. Ogink, Quirina C. B. S. Thio, et al.
The Spine Journal (2019) Vol. 19, Iss. 11, pp. 1764-1771
Closed Access | Times Cited: 92

Showing 1-25 of 92 citing articles:

Artificial Intelligence-Driven Prediction Modeling and Decision Making in Spine Surgery Using Hybrid Machine Learning Models
Babak Saravi, Frank Hassel, Sara Ülkümen, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 4, pp. 509-509
Open Access | Times Cited: 94
Feature reduction for hepatocellular carcinoma prediction using machine learning algorithms
G. Mostafa, Hamdi A. Mahmoud, Tarek Abd El‐Hafeez, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 40
Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making
Alan Brnabic, Lisa M. Hess
BMC Medical Informatics and Decision Making (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 88
Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges
Xiaojie Cao, Xinqiao Liu
World Journal of Psychiatry (2022) Vol. 12, Iss. 10, pp. 1287-1297
Open Access | Times Cited: 45
Artificial Intelligence in Neurosurgery: A State-of-the-Art Review from Past to Future
Jonathan A. Tangsrivimol, Ethan Schonfeld, Michael Zhang, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2429-2429
Open Access | Times Cited: 33
Predicting prolonged opioid prescriptions in opioid-naïve lumbar spine surgery patients
Aditya V. Karhade, D. Thomas, Harold A. Fogel, et al.
The Spine Journal (2019) Vol. 20, Iss. 6, pp. 888-895
Closed Access | Times Cited: 59
Assessment of Probable Opioid Use Disorder Using Electronic Health Record Documentation
Sarah Palumbo, Kayleigh M. Adamson, Sarathbabu Krishnamurthy, et al.
JAMA Network Open (2020) Vol. 3, Iss. 9, pp. e2015909-e2015909
Open Access | Times Cited: 54
Large language model, AI and scientific research: why ChatGPT is only the beginning
Pietro Zangrossi, Massimo MARTINI, Francesco Guerrini, et al.
Journal of Neurosurgical Sciences (2024) Vol. 68, Iss. 2
Open Access | Times Cited: 6
Pushing the Limits of Minimally Invasive Spine Surgery—From Preoperative to Intraoperative to Postoperative Management
Peter N. Drossopoulos, Arnav Sharma, Favour C. Ononogbu-Uche, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 8, pp. 2410-2410
Open Access | Times Cited: 5
Classifying High-Risk Patients for Persistent Opioid Use After Major Spine Surgery: A Machine-Learning Approach
Sierra Simpson, William Zhong, Soraya Mehdipour, et al.
Anesthesia & Analgesia (2024) Vol. 139, Iss. 4, pp. 690-699
Closed Access | Times Cited: 5
A systematic review of machine learning applications in predicting opioid associated adverse events
Carlos R. Ramírez Medina, Jose Benitez-Aurioles, David Jenkins, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Predictive Modeling of Outcomes After Traumatic and Nontraumatic Spinal Cord Injury Using Machine Learning: Review of Current Progress and Future Directions
Omar Khan, Jetan H. Badhiwala, Jamie Wilson, et al.
Neurospine (2019) Vol. 16, Iss. 4, pp. 678-685
Open Access | Times Cited: 53
A Review on the Use of Artificial Intelligence in Spinal Diseases
Parisa Azimi, Taravat Yazdanian, Edward C. Benzel, et al.
Asian Spine Journal (2020) Vol. 14, Iss. 4, pp. 543-571
Open Access | Times Cited: 49
Can Machine-learning Algorithms Predict Early Revision TKA in the Danish Knee Arthroplasty Registry?
Anders El-Galaly, Clare Grazal, Andreas Kappel, et al.
Clinical Orthopaedics and Related Research (2020) Vol. 478, Iss. 9, pp. 2088-2101
Open Access | Times Cited: 44
Can Predictive Modeling Tools Identify Patients at High Risk of Prolonged Opioid Use After ACL Reconstruction?
Ashley B. Anderson, Clare Grazal, George C. Balazs, et al.
Clinical Orthopaedics and Related Research (2020) Vol. 478, Iss. 7, pp. 00-1618
Open Access | Times Cited: 42
Development and Internal Validation of Supervised Machine Learning Algorithms for Predicting Clinically Significant Functional Improvement in a Mixed Population of Primary Hip Arthroscopy
Kyle N. Kunze, Evan M. Polce, Benedict U. Nwachukwu, et al.
Arthroscopy The Journal of Arthroscopic and Related Surgery (2021) Vol. 37, Iss. 5, pp. 1488-1497
Closed Access | Times Cited: 35
A machine learning algorithm for predicting prolonged postoperative opioid prescription after lumbar disc herniation surgery. An external validation study using 1,316 patients from a Taiwanese cohort
Hung‐Kuan Yen, Paul T. Ogink, Chuan‐Ching Huang, et al.
The Spine Journal (2022) Vol. 22, Iss. 7, pp. 1119-1130
Closed Access | Times Cited: 26
Machine Learning for the Orthopaedic Surgeon
Daniel Alsoof, Christopher L. McDonald, Eren O. Kuris, et al.
Journal of Bone and Joint Surgery (2022) Vol. 104, Iss. 17, pp. 1586-1594
Closed Access | Times Cited: 26
Revolutionizing spinal interventions: a systematic review of artificial intelligence technology applications in contemporary surgery
Hao Han, Ran Li, Dongming Fu, et al.
BMC Surgery (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Applications of Machine Learning Using Electronic Medical Records in Spine Surgery
J Schwartz, Michael Gao, Eric Geng, et al.
Neurospine (2019) Vol. 16, Iss. 4, pp. 643-653
Open Access | Times Cited: 41
Prediction Models in Degenerative Spine Surgery: A Systematic Review
Daniel Lubelski, Andrew M. Hersh, Tej D. Azad, et al.
Global Spine Journal (2021) Vol. 11, Iss. 1_suppl, pp. 79S-88S
Open Access | Times Cited: 29
An Update on Postoperative Opioid Use and Alternative Pain Control Following Spine Surgery
Kevin Berardino, Austin H. Carroll, Alicia Kaneb, et al.
Orthopedic Reviews (2021) Vol. 13, Iss. 2
Open Access | Times Cited: 28
Development and internal validation of a clinical prediction model using machine learning algorithms for 90 day and 2 year mortality in femoral neck fracture patients aged 65 years or above
Jacobien H. F. Oosterhoff, Angelique Berit Marte Corlijn Savelberg, Aditya V. Karhade, et al.
European Journal of Trauma and Emergency Surgery (2022) Vol. 48, Iss. 6, pp. 4669-4682
Open Access | Times Cited: 21
Automated prediction of the Thoracolumbar Injury Classification and Severity Score from CT using a novel deep learning algorithm
Sophia A. Doerr, Carly Weber-Levine, Andrew M. Hersh, et al.
Neurosurgical FOCUS (2022) Vol. 52, Iss. 4, pp. E5-E5
Open Access | Times Cited: 19
Optimizing prediction accuracy for early recurrent lumbar disc herniation with a directional mutation-guided SVM model
Mengxian Jia, Jiaxin Lai, Kan Li, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108297-108297
Closed Access | Times Cited: 3
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