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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.

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Showing 1-25 of 31 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: 14
Three-branch feature enhancement and fusion network for focal cortical dysplasia lesions segmentation using multimodal imaging
Manli Zhang, Hao Yu, Gongpeng Cao, et al.
Brain Research Bulletin (2025) Vol. 222, pp. 111268-111268
Open Access
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
Predicting Drug Treatment Outcomes in Children with Tuberous Sclerosis Complex–Related Epilepsy: A Clinical Radiomics Study
Zhanqi Hu, Dian Jiang, Xia Zhao, et al.
American Journal of Neuroradiology (2023) Vol. 44, Iss. 7, pp. 853-860
Open Access | Times Cited: 10
Multiparametric MRI
Akifumi Hagiwara, Shohei Fujita, Ryo Kurokawa, et al.
Investigative Radiology (2023)
Open Access | Times Cited: 9
Artificial intelligence for medical image analysis in epilepsy
John Sollee, Lei Tang, Aime Bienfait Igiraneza, et al.
Epilepsy Research (2022) Vol. 182, pp. 106861-106861
Closed Access | Times Cited: 14
Predicting postoperative delirium after hip arthroplasty for elderly patients using machine learning
Daiyu Chen, Weijia Wang, Siqi Wang, et al.
Aging Clinical and Experimental Research (2023) Vol. 35, Iss. 6, pp. 1241-1251
Closed Access | Times Cited: 8
Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma
Yong Tang, Chun Mei Yang, Song Su, et al.
BMC Cancer (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 19
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: 2
Role of radiomics in staging liver fibrosis: a meta-analysis
Xiaomin Wang, Xiaojing Zhang
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Preoperative MRI for postoperative seizure prediction: a radiomics study of dysembryoplastic neuroepithelial tumor and a systematic review
Jun Wang, Xinyi Luo, Chenghan Chen, et al.
Neurosurgical FOCUS (2022) Vol. 53, Iss. 4, pp. E7-E7
Open Access | Times Cited: 11
A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI
Michael Rebsamen, Piotr Radojewski, Richard McKinley, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 8
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
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: 9
Clinical Evaluation of a Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis
Michael Rebsamen, Baudouin Zongxin Jin, Tomas Klail, et al.
Clinical Neuroradiology (2023) Vol. 33, Iss. 4, pp. 1045-1053
Open Access | Times Cited: 3
MRI‐Based Radiomics Approach for Differentiating Juvenile Myoclonic Epilepsy from Epilepsy with Generalized Tonic–Clonic Seizures Alone
Yongsik Sim, Seung‐Koo Lee, Min Kyung Chu, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 60, Iss. 1, pp. 281-288
Open Access | Times Cited: 3
Extrahippocampal Radiomics Analysis Can Potentially Identify Laterality in Patients With MRI-Negative Temporal Lobe Epilepsy
E‐Nae Cheong, Ji Eun Park, Da Eun Jung, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 8
Radiomics features from 3D‐MPRAGE imaging can differentiate temporal‐plus epilepsy from temporal lobe epilepsy
Fangzhao Yin, Xiaoming Yan, Runshi Gao, et al.
Epileptic Disorders (2023) Vol. 25, Iss. 5, pp. 681-689
Closed Access | Times Cited: 3
Enhanced focal cortical dysplasia detection in pediatric frontal lobe epilepsy with asymmetric radiomic and morphological features
Manli Zhang, Hao Yu, Gongpeng Cao, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 3
Performance of hippocampal radiomics models based on T2-FLAIR images in mesial temporal lobe epilepsy with hippocampal sclerosis
Xiaoyu Wang, Xiaoting Luo, Haitao Pan, et al.
European Journal of Radiology (2023) Vol. 167, pp. 111082-111082
Open Access | Times Cited: 2
Machine learning techniques based on 18F-FDG PET radiomics features of temporal regions for classification of temporal lobe epilepsy patients from healthy controls
Kai Liao, Huanhua Wu, Yuanfang Jiang, et al.
Research Square (Research Square) (2024)
Open Access
A PET-based radiomics nomogram for individualized predictions of seizure outcomes after temporal lobe epilepsy surgery
Huanhua Wu, Kai Liao, Zhiqiang Tan, et al.
Seizure (2024) Vol. 119, pp. 17-27
Closed Access
A radiomics nomogram based on multiparametric MRI for diagnosing focal cortical dysplasia and initially identifying laterality
Shi-qi Chen, Liang Wei, Keng He, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
Radiomic detection of abnormal brain regions in tuberous sclerosis complex
Florent Tixier, Diana Rodriguez, Jeremy Jones, et al.
Medical Physics (2024)
Closed Access
Machine learning in neuroimaging of epilepsy: a narrative review
Teresa Perillo, Sandra Perillo, Antônio Germane Alves Pinto
Deleted Journal (2024) Vol. 11, Iss. 1
Open Access
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