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 for predicting levetiracetam treatment response in temporal lobe epilepsy
Pierpaolo Croce, Lorenzo Ricci, Patrizia Pulitano, et al.
Clinical Neurophysiology (2021) Vol. 132, Iss. 12, pp. 3035-3042
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Development and Validation of a Deep Learning Model for Predicting Treatment Response in Patients With Newly Diagnosed Epilepsy
Haris Hakeem, Wei Feng, Zhibin Chen, et al.
JAMA Neurology (2022) Vol. 79, Iss. 10, pp. 986-986
Open Access | Times Cited: 46

Seizure Cycles under Pharmacotherapy
Cecilia Friedrichs‐Maeder, Timothée Proix, Thomas K. Tcheng, et al.
Annals of Neurology (2024) Vol. 95, Iss. 4, pp. 743-753
Closed Access | Times Cited: 9

Quantitative High Density EEG Brain Connectivity Evaluation in Parkinson’s Disease: The Phase Locking Value (PLV)
Lazzaro di Biase, Lorenzo Ricci, Maria Letizia Caminiti, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 4, pp. 1450-1450
Open Access | Times Cited: 19

Machine Learning and Artificial Intelligence Applications to Epilepsy: a Review for the Practicing Epileptologist
Wesley T. Kerr, Katherine N. McFarlane
Current Neurology and Neuroscience Reports (2023) Vol. 23, Iss. 12, pp. 869-879
Closed Access | Times Cited: 19

Machine learning-based algorithm of drug-resistant prediction in newly diagnosed patients with temporal lobe epilepsy
Lingyan Mao, Gaoxing Zheng, Yang Cai, et al.
Clinical Neurophysiology (2025) Vol. 171, pp. 154-163
Closed Access

Evaluation of quantitative EEG markers for predicting outcome after the initial treatment with levetiracetam monotherapy in newly diagnosed epilepsy
Felix Zahnert, Pieter van Mierlo, Lena Habermehl, et al.
Epilepsy & Behavior (2025) Vol. 164, pp. 110284-110284
Open Access

Artificial intelligence applied to electroencephalography in epilepsy
Catalina Alvarado‐Rojas, Gilles Huberfeld
Revue Neurologique (2025)
Closed Access

Levetiracetam Modulates EEG Microstates in Temporal Lobe Epilepsy
Lorenzo Ricci, Pierpaolo Croce, Patrizia Pulitano, et al.
Brain Topography (2022) Vol. 35, Iss. 5-6, pp. 680-691
Open Access | Times Cited: 20

Prediction of patients with idiopathic generalized epilepsy from healthy controls using machine learning from scalp EEG recordings
Fredy A. Escobar-Ipuz, Alex Torres, M.A. García-Jiménez, et al.
Brain Research (2022) Vol. 1798, pp. 148131-148131
Closed Access | Times Cited: 18

Prognostic interictal electroencephalographic biomarkers and models to assess antiseizure medication efficacy for clinical practice: A scoping review
Ashley Reynolds, Michaela Vranic‐Peters, Alan Lai, et al.
Epilepsia (2023) Vol. 64, Iss. 5, pp. 1125-1174
Open Access | Times Cited: 10

Artificial intelligence for dementia prevention
Danielle Newby, Vasiliki Orgeta, Charles R. Marshall, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5952-5969
Open Access | Times Cited: 9

Quantitative EEG analysis of Brivaracetam in drug-resistant epilepsy: A pharmaco-EEG study
Lorenzo Ricci, Mario Tombini, Ersilia Savastano, et al.
Clinical Neurophysiology (2024) Vol. 163, pp. 152-159
Open Access | Times Cited: 3

Clinical prediction models for treatment outcomes in newly diagnosed epilepsy: A systematic review
Corey Ratcliffe, Vishnav Pradeep, Anthony G Marson, et al.
Epilepsia (2024) Vol. 65, Iss. 7, pp. 1811-1846
Open Access | Times Cited: 2

Increased coherence predicts medical refractoriness in patients with temporal lobe epilepsy on monotherapy
Sungeun Hwang, Youmin Shin, Jun‐Sang Sunwoo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

The Role of EEG Microstates in Predicting Oxcarbazepine Treatment Outcomes in Patients with Newly-Diagnosed Focal Epilepsy
Rong Rong, Runkai Zhang, Yun Xu, et al.
Seizure (2024) Vol. 119, pp. 63-70
Closed Access | Times Cited: 1

OxcarNet: Sinc convolutional network with temporal and channel attention for prediction of Oxcarbazepine monotherapy responses in patients with newly diagnosed epilepsy
Runkai Zhang, Rong Rong, Yang Xu, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 5, pp. 056019-056019
Closed Access | Times Cited: 1

Structural connectivity as a predictive factor for responsiveness to levetiracetam treatment in epilepsy
Dong Ah Lee, Ho‐Joon Lee, Kang Min Park
Neuroradiology (2023) Vol. 66, Iss. 1, pp. 93-100
Closed Access | Times Cited: 4

Understanding and managing the impact of the COVID-19 pandemic and lockdown on patients with epilepsy
Giovanni Assenza, Lorenzo Ricci, Jacopo Lanzone, et al.
Expert Review of Neurotherapeutics (2022) Vol. 22, Iss. 2, pp. 145-153
Closed Access | Times Cited: 5

Frontotemporal phase lag index correlates with seizure severity in patients with temporal lobe epilepsy
Lingyan Mao, Gaoxing Zheng, Yang Cai, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 5

Early prediction of drug-resistant epilepsy using clinical and EEG features based on convolutional neural network
Shijun Yang, Shanshan Li, Hanlin Wang, et al.
Seizure (2023) Vol. 114, pp. 98-104
Closed Access | Times Cited: 2

Combining MRI radiomics and clinical features for early identification of drug-resistant epilepsy in people with newly diagnosed epilepsy
Shijun Yang, Siying Chen, Ya-Ling Huang, et al.
Epilepsy & Behavior (2024) Vol. 162, pp. 110165-110165
Closed Access

Predicting medical refractoriness of patients with temporal lobe epilepsy: EEG-based parameter optimization and network analysis
Sungeun Hwang, Youmin Shin, Jun‐Sang Sunwoo, et al.
Research Square (Research Square) (2024)
Open Access

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