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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 in Neuro-Oncology, Epilepsy, Alzheimer’s Disease, and Schizophrenia
Mason English, Chitra Kumar, Bonnie Legg Ditterline, et al.
Acta neurochirurgica. Supplementum (2021), pp. 349-361
Closed Access | Times Cited: 12

Showing 12 citing articles:

Machine Learning and Deep Learning Applications in Multiple Myeloma Diagnosis, Prognosis, and Treatment Selection
Alessandro Allegra, Alessandro Tonacci, Raffaele Sciaccotta, et al.
Cancers (2022) Vol. 14, Iss. 3, pp. 606-606
Open Access | Times Cited: 48
Machine learning in clinical diagnosis, prognostication, and management of acute traumatic spinal cord injury (SCI): A systematic review
Nicholas Dietz, Vaitheesh L. Jaganathan, Victoria Alkin, et al.
Journal of Clinical Orthopaedics and Trauma (2022) Vol. 35, pp. 102046-102046
Open Access | Times Cited: 32
Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals
G. Sudha, N. Saravanan, M. Muthalakshmi, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 3
An evolving machine-learning-based algorithm to early predict response to anti-CGRP monoclonal antibodies in patients with migraine
Giorgio Dalla Volta, Ammar Lokhandwala, Catello Vollono, et al.
Cephalalgia (2024) Vol. 44, Iss. 12
Closed Access | Times Cited: 3
Machine Learning in Clinical Neuroscience

Acta neurochirurgica. Supplementum (2021)
Closed Access | Times Cited: 14
Postoperative One Year Prediction for Patients with Cervical Spinal Cord Injury Based on Deep Learning and Radiomics
Fabin Lin, Kaifeng Wang, Ruxian Wang, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Comment on Fu et al. (2024) ‘Risk prediction models for deep venous thrombosis in patients with acute stroke: A systematic review and meta-analysis’
Wei Wang, Limei Chi, Ruiying Peng, et al.
International Journal of Nursing Studies (2024) Vol. 153, pp. 104731-104731
Closed Access
Natural language processing augments comorbidity documentation in neurosurgical inpatient admissions
Rahul A. Sastry, Aayush Setty, David D. Liu, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0303519-e0303519
Open Access
Identification of male schizophrenia patients using brain morphology based on machine learning algorithms
Tao Yu, Wenzhi Pei, Chunyuan Xu, et al.
World Journal of Psychiatry (2024) Vol. 14, Iss. 6, pp. 804-811
Open Access
Scoping review of robotics technology in spinal surgery with highlights of the Annual Seattle Science Foundation Course
Nicholas Dietz, Victoria Alkin, Isador H. Lieberman, et al.
Annals of Translational Medicine (2024) Vol. 12, Iss. 6, pp. 118-118
Open Access
The Use of Artificial Intelligence in the Management of Intracranial Aneurysms
Luis A. Marín-Castañeda, Fernanda de Leon-Mendoza, Héctor Eduardo Valdéz-Ruvalcaba
IntechOpen eBooks (2023)
Open Access
Aplicación de Técnicas de Machine Learning en la Predicción de Hospitalizaciones y Reingresos de pacientes con Esquizofrenia en Castilla y León
Susel Góngora Alonso
(2023)
Open Access
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