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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:

Voxel-based morphometry analysis and machine learning based classification in pediatric mesial temporal lobe epilepsy with hippocampal sclerosis
Shihui Chen, Jian Zhang, Xiaolei Ruan, et al.
Brain Imaging and Behavior (2019) Vol. 14, Iss. 5, pp. 1945-1954
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Artificial intelligence in epilepsy — applications and pathways to the clinic
Alfredo Lucas, Andrew Y. Revell, Kathryn A. Davis
Nature Reviews Neurology (2024) Vol. 20, Iss. 6, pp. 319-336
Closed Access | Times Cited: 18
Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis
Jernej Završnik, Peter Kokol, Bojan Žlahtič, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 512-512
Open Access | Times Cited: 10
Machine learning for classification and prediction of brain diseases: recent advances and upcoming challenges
Ninon Burgos, Olivier Colliot
Current Opinion in Neurology (2020) Vol. 33, Iss. 4, pp. 439-450
Open Access | Times Cited: 42
A deep learning framework for 18F-FDG PET imaging diagnosis in pediatric patients with temporal lobe epilepsy
Qinming Zhang, Yi‐Chu Liao, Xiawan Wang, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 48, Iss. 8, pp. 2476-2485
Open Access | Times Cited: 38
Clinical Application of Machine Learning Models for Brain Imaging in Epilepsy: A Review
Daichi Sone, Iman Beheshti
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 30
AI and Neurology
Julian Bösel, Rohan Mathur, Lin Cheng, et al.
Neurological Research and Practice (2025) Vol. 7, Iss. 1
Open Access
Artificial intelligence applied to epilepsy imaging: Current status and future perspectives
M. Berger, Roxane Licandro, K Nenning, et al.
Revue Neurologique (2025)
Open Access
Innovating pediatric epilepsy: transforming diagnosis and treatment with AI
Giovanni Battista Dell’Isola, Antonella Fattorusso, Gianmarco Villano, et al.
World Journal of Pediatrics (2025)
Closed Access
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
Artificial Intelligence and Pediatrics: Synthetic Knowledge Synthesis
Jernej Završnik, Peter Kokol, Bojan Žlahtič, et al.
(2024)
Open Access | Times Cited: 3
Machine learning techniques based on 18F-FDG PET radiomics features of temporal regions for the classification of temporal lobe epilepsy patients from healthy controls
Kai Liao, Huanhua Wu, Yuanfang Jiang, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 3
Characterizing thalamic and basal ganglia nuclei in medically intractable focal epilepsy by MR fingerprinting
Yingying Tang, Ting‐Yu Su, Joon Yul Choi, et al.
Epilepsia (2022) Vol. 63, Iss. 8, pp. 1998-2010
Closed Access | Times Cited: 12
Interpretable deep learning‐based hippocampal sclerosis classification
Dohyun Kim, Jung‐Tae Lee, Jangsup Moon, et al.
Epilepsia Open (2022) Vol. 7, Iss. 4, pp. 747-757
Open Access | Times Cited: 12
Voxel-Based Morphometry—from Hype to Hope. A Study on Hippocampal Atrophy in Mesial Temporal Lobe Epilepsy
Franz Riederer, René Seiger, Rupert Lanzenberger, et al.
American Journal of Neuroradiology (2020) Vol. 41, Iss. 6, pp. 987-993
Open Access | Times Cited: 14
Identifying juvenile myoclonic epilepsy via diffusion tensor imaging using machine learning analysis
Dong Ah Lee, Junghae Ko, Hyung Chan Kim, et al.
Journal of Clinical Neuroscience (2021) Vol. 91, pp. 327-333
Closed Access | Times Cited: 12
Identification of focal epilepsy by diffusion tensor imaging using machine learning
Dong Ah Lee, Ho‐Joon Lee, Byung Joon Kim, et al.
Acta Neurologica Scandinavica (2021) Vol. 143, Iss. 6, pp. 637-645
Open Access | Times Cited: 10
Accurate lateralization and classification of MRI-negative 18F-FDG-PET-positive temporal lobe epilepsy using double inversion recovery and machine-learning
Iman Beheshti, Daichi Sone, Norihide Maikusa, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104805-104805
Closed Access | Times Cited: 10
Artificial Intelligence: Its Critical Role in the Diagnosis, Prophylaxis, and Therapy of Epilepsy
Lacey Marshall, Graham Lynn, Suhrud Pathak, et al.
(2024), pp. 87-106
Closed Access | Times Cited: 1
Structural and functional abnormalities and cognitive profiles in older adults with early-onset and late-onset focal epilepsy
Xinyue Wan, Yanwei Zeng, Jianhong Wang, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 7
Closed Access | Times Cited: 1
Deep learning-based diagnosis of temporal lobe epilepsy associated with hippocampal sclerosis: An MRI study
Yosuke Ito, Masafumi Fukuda, H Matsuzawa, et al.
Epilepsy Research (2021) Vol. 178, pp. 106815-106815
Closed Access | Times Cited: 8
Voxel‐based diktiometry: Combining convolutional neural networks with voxel‐based analysis and its application in diffusion tensor imaging for Parkinson's disease
Alfonso Estudillo-Romero, Claire Haegelen, Pierre Jannin, et al.
Human Brain Mapping (2022) Vol. 43, Iss. 16, pp. 4835-4851
Open Access | Times Cited: 4
Reorganization of brain networks in patients with temporal lobe epilepsy and comorbid headache
Shengyu Yang, Ying Wu, Lanfeng Sun, et al.
Epilepsy & Behavior (2023) Vol. 140, pp. 109101-109101
Closed Access | Times Cited: 2
Voxel-Based Diktiometry - Combining convolutional neural networks with voxel-based analysis and its application in diffusion tensor imaging for Parkinson’s disease
Alfonso Estudillo-Romero, Claire Haegelen, Pierre Jannin, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 3
Machine learning for filtering out false positive grey matter atrophies in single subject voxel based morphometry: A simulation based study
Hernán C. Külsgaard, José Ignacio Orlando, Mariana Bendersky, et al.
Journal of the Neurological Sciences (2020) Vol. 420, pp. 117220-117220
Open Access | Times Cited: 3
Localization of epileptic focus by gray matter reduction analysis from brain MR images for temporal lobe epilepsy patients
Cansel Fıçıcı, Ziya Telatar, Osman Eroğul
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104716-104716
Closed Access | Times Cited: 1
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