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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:

Deep Learning and Neurology: A Systematic Review
Aly Valliani, Daniel Ranti, Eric K. Oermann
Neurology and Therapy (2019) Vol. 8, Iss. 2, pp. 351-365
Open Access | Times Cited: 145

Showing 26-50 of 145 citing articles:

Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review
Liyuan Cui, Zhiyuan Fan, Yingjian Yang, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 29
Breaking Barriers—The Intersection of AI and Assistive Technology in Autism Care: A Narrative Review
Antonio Iannone, Daniele Giansanti
Journal of Personalized Medicine (2023) Vol. 14, Iss. 1, pp. 41-41
Open Access | Times Cited: 17
Toward Transparent AI for Neurological Disorders: A Feature Extraction and Relevance Analysis Framework
Mitchell D. Woodbright, Ahsan Morshed, Matthew Browne, et al.
IEEE Access (2024) Vol. 12, pp. 37731-37743
Open Access | Times Cited: 6
Deep learning for dermatologists: Part II. Current applications
Pranav Puri, Nneka I. Comfere, Lisa A. Drage, et al.
Journal of the American Academy of Dermatology (2020) Vol. 87, Iss. 6, pp. 1352-1360
Open Access | Times Cited: 47
Automatic multiclass intramedullary spinal cord tumor segmentation on MRI with deep learning
Andréanne Lemay, Charley Gros, Zhizheng Zhuo, et al.
NeuroImage Clinical (2021) Vol. 31, pp. 102766-102766
Open Access | Times Cited: 40
Deep learning for dermatologists: Part I. Fundamental concepts
Dennis H. Murphree, Pranav Puri, Huma Shamim, et al.
Journal of the American Academy of Dermatology (2020) Vol. 87, Iss. 6, pp. 1343-1351
Open Access | Times Cited: 39
WITHDRAWN: IoT-based Agriculture: Deep Learning in Detecting Apple Fruit Diseases
He Jiang, Xiaoru Li, Fatemeh Safara
Microprocessors and Microsystems (2021), pp. 104321-104321
Closed Access | Times Cited: 37
Multi-Layer Picture of Neurodegenerative Diseases: Lessons from the Use of Big Data through Artificial Intelligence
Andrea Termine, Carlo Fabrizio, Claudia Strafella, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 4, pp. 280-280
Open Access | Times Cited: 35
An Umbrella Review of the Fusion of fMRI and AI in Autism
Daniele Giansanti
Diagnostics (2023) Vol. 13, Iss. 23, pp. 3552-3552
Open Access | Times Cited: 15
A Comprehensive Review on Advancement in Deep Learning Techniques for Automatic Detection of Tuberculosis from Chest X-ray Images
Evans Kotei, Ramkumar Thirunavukarasu
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 1, pp. 455-474
Closed Access | Times Cited: 13
A review of ADHD detection studies with machine learning methods using rsfMRI data
Gürcan TAŞPINAR, Nalan Özkurt
NMR in Biomedicine (2024) Vol. 37, Iss. 8
Open Access | Times Cited: 5
A systematic review of Machine Learning and Deep Learning approaches in Mexico: challenges and opportunities
José Luis Uc Castillo, Ana Elizabeth Marín Celestino, Diego Armando Martínez Cruz, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Quantum deep learning in neuroinformatics: a systematic review
Nabil Anan Orka, Md. Abdul Awal, Píetro Lió, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Deep learning frameworks for MRI-based diagnosis of neurological disorders: a systematic review and meta-analysis
Syed Saad Azhar Ali, Khuhed Memon, Norashikin Yahya, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Towards Clinical Diagnoses: Classifying Alzheimer's Disease Using Single fMRI, Small Datasets, and Transfer Learning
Samuel L. Warren, Ahmed A. Moustafa
Brain and Behavior (2025) Vol. 15, Iss. 3
Open Access
Artificial intelligence in diabetes management: transformative potential, challenges, and opportunities in healthcare
Arnabjyoti Deva Sarma, Moitrayee Devi
HORMONES (2025)
Closed Access
Advancing Emotional State Recognition Using Multi-task Learning with Dual CNN-LSTM
Ching-Ping Wang, Hsiang-Chin Chien, Xin‐Yu Chen, et al.
IFMBE proceedings (2025), pp. 393-398
Closed Access
Artificial intelligence and deep learning in glaucoma: Current state and future prospects
Michaël J. A. Girard, Leopold Schmetterer
Progress in brain research (2020), pp. 37-64
Closed Access | Times Cited: 37
Voxel level dense prediction of acute stroke territory in DWI using deep learning segmentation models and image enhancement strategies
İlker Özgür Koska, M. Alper Selver, Fazıl Gelal, et al.
Japanese Journal of Radiology (2024) Vol. 42, Iss. 9, pp. 962-972
Closed Access | Times Cited: 4
Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights
J. Deepa Anbarasi, Radha Kumari, Malvika Ganesh, et al.
BMC Neurology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Application of Machine Learning to Stomatology: A Comprehensive Review
Maolei Sun, Yun Liu, Guomin Liu, et al.
IEEE Access (2020) Vol. 8, pp. 184360-184374
Open Access | Times Cited: 30
Machine learning models for decision support in epilepsy management: A critical review
Eliot D. Smolyansky, Haris Hakeem, Zongyuan Ge, et al.
Epilepsy & Behavior (2021) Vol. 123, pp. 108273-108273
Closed Access | Times Cited: 23
Anti-HER2 therapy response assessment for guiding treatment (de-)escalation in early HER2-positive breast cancer using a novel deep learning radiomics model
Yiwei Tong, Zhaoyu Hu, Haoyu Wang, et al.
European Radiology (2024) Vol. 34, Iss. 8, pp. 5477-5486
Open Access | Times Cited: 3
Detection and Classification of Neuro-Degenerative Disease via EfficientNetB7
R. Sathishkumar, M. Govindarajan, R. Dhivyasri
Lecture notes in networks and systems (2024), pp. 223-234
Closed Access | Times Cited: 3
A content-based image retrieval system for the diagnosis of lymphoma using blood micrographs: An incorporation of deep learning with a traditional learning approach
Reena M. Roy, P. M. Ameer
Computers in Biology and Medicine (2022) Vol. 145, pp. 105463-105463
Closed Access | Times Cited: 15

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