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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:

Recent Outcomes and Challenges of Artificial Intelligence, Machine Learning, and Deep Learning in Neurosurgery
Wireko Andrew Awuah, Favour Tope Adebusoye, Jack Wellington, et al.
World Neurosurgery X (2024) Vol. 23, pp. 100301-100301
Open Access | Times Cited: 17

Showing 17 citing articles:

Enhancing EfficientNetv2 with global and efficient channel attention mechanisms for accurate MRI-Based brain tumor classification
İshak Paçal, Ömer Çelik, Bilal Bayram, et al.
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 11187-11212
Open Access | Times Cited: 18
The Future of Artificial Intelligence in Surgery
Allan J. Hamilton
Cureus (2024)
Open Access | Times Cited: 5
Artificial Intelligence and Deep Learning in Revolutionizing Brain Tumor Diagnosis and Treatment: A Narrative Review
Shobha Mandal, Subhadeep Chakraborty, Muhammad Ayaz Tariq, et al.
Cureus (2024)
Open Access | Times Cited: 2
Letter: Chat-GPT on brain tumors: An examination of Artificial Intelligence/Machine Learning’s ability to provide diagnoses and treatment plans for example neuro-oncology cases
Francisco Zarra, Dhruv Nihal Gandhi, Aakriti Karki, et al.
Clinical Neurology and Neurosurgery (2024) Vol. 240, pp. 108270-108270
Closed Access | Times Cited: 1
Machine Learning-Based Prediction of Clinical Outcomes in Microsurgical Clipping Treatments of Cerebral Aneurysms
Corneliu Toader, Felix-Mircea Brehar, Mugurel Petrinel Radoi, et al.
Diagnostics (2024) Vol. 14, Iss. 19, pp. 2156-2156
Open Access | Times Cited: 1
Large language models in neurosurgery: a systematic review and meta-analysis
Advait Patil, Paul Serrato, Nathan Chisvo, et al.
Acta Neurochirurgica (2024) Vol. 166, Iss. 1
Closed Access | Times Cited: 1
Machine Learning Algorithms for Neurosurgical Preoperative Planning: A Comprehensive Scoping Review
Jhon E. Bocanegra‐Becerra, Julia Sader Neves Ferreira, Gabriel Simoni, et al.
World Neurosurgery (2024)
Open Access | Times Cited: 1
The influence of artificial intelligence on neurological surgery and patient outcome
Muhammad Kashif, Ahmed Muthana, Abdullah Al Qudah, et al.
Surgical Neurology International (2024) Vol. 15, pp. 211-211
Open Access
Artificial Intelligence in Surgery: Transforming the Future of Operative Care
Masood Rashid
Developmental medico-life-sciences (2024) Vol. 1, Iss. 3, pp. 1-4
Open Access
The Future of Sustainable Neurosurgery: Is a Moonshot Plan for Artificial Intelligence and Robot-Assisted Surgery Possible in Japan?
Shuhei Morita, Shunji Asamoto, Haruki Sawada, et al.
World Neurosurgery (2024) Vol. 192, pp. 15-20
Closed Access
Harnessing artificial intelligence to improve surgical precision in Chiari malformation
Mayur Wanjari, Gaurav Mittal, Roshan Prasad
Neurosurgical Review (2024) Vol. 47, Iss. 1
Closed Access
Artificial intelligence enhancements in the neurosurgical treatment of tuberous sclerosis
Mayur Wanjari, Gaurav Mittal, Roshan Prasad
Neurosurgical Review (2024) Vol. 47, Iss. 1
Closed Access
Machine Learning Algorithms for Neurosurgical Preoperative Planning: A Comprehensive Scoping Review of the Literature
Jhon E. Bocanegra‐Becerra, Julia Sader Neves Ferreira, Gabriel Simoni, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
“Enhancing post-craniotomy recovery: leveraging AI and network analysis for improved outcomes”
Zahra Ali Haque, Sarah Shaheen
Neurosurgical Review (2024) Vol. 47, Iss. 1
Closed Access
7 T and beyond: toward a synergy between fMRI-based presurgical mapping at ultrahigh magnetic fields, AI, and robotic neurosurgery
Mohamed L. Seghier
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access
Knowledge, interest and perspectives on Artificial Intelligence in Neurosurgery. A global survey
Alessandro Boaro, Elisabetta Mezzalira, Francesca Siddi, et al.
Brain and Spine (2024) Vol. 5, pp. 104156-104156
Open Access
Artificial intelligence and machine learning in neurosurgery: A review of diagnostic significance and treatment planning efficiency
Rani Ahmad
West African journal of radiology (2023) Vol. 30, Iss. 2, pp. 29-40
Closed Access
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