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:

Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke Through Machine Learning Approaches
Antonio Maria Chiarelli, Pierpaolo Croce, Giovanni Assenza, et al.
International Journal of Neural Systems (2020) Vol. 30, Iss. 12, pp. 2050067-2050067
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

MRI-based clinical-radiomics model predicts tumor response before treatment in locally advanced rectal cancer
Andrea Delli Pizzi, Antonio Maria Chiarelli, Piero Chiacchiaretta, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 79

A novel hybrid soft computing optimization framework for dynamic economic dispatch problem of complex non-convex contiguous constrained machines
Ijaz Ahmed, Um-E-Habiba Alvi, Abdul Basit, et al.
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0261709-e0261709
Open Access | Times Cited: 40

EEG Microstate-Specific Functional Connectivity and Stroke-Related Alterations in Brain Dynamics
Zexuan Hao, Xiaoxue Zhai, Dandan Cheng, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 30

Eeg Microstates and Balance Parameters for Stroke Discrimination: A Machine Learning Approach
Eloise de Oliveira Lima, José Maurício Ramos de Souza Neto, Francisco Enrique Vicente Castro, et al.
Brain Topography (2025) Vol. 38, Iss. 2
Closed Access

Clinical and Neurophysiological predictors of the functional outcome in right-hemisphere stroke
Francesco Di Gregorio, Giada Lullini, Silvia Orlandi, et al.
NeuroImage (2025), pp. 121059-121059
Open Access

CNN-Based Prognosis of BCI Rehabilitation Using EEG From First Session BCI Training
Ping-Ju Lin, Tianyu Jia, Chong Li, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1936-1943
Open Access | Times Cited: 31

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

Self-Adaptive Particle Swarm Optimization-Based Echo State Network for Time Series Prediction
Yu Xue, Qi Zhang, Ferrante Neri
International Journal of Neural Systems (2021) Vol. 31, Iss. 12
Open Access | Times Cited: 27

Radiomics-based machine learning differentiates “ground-glass” opacities due to COVID-19 from acute non-COVID-19 lung disease
Andrea Delli Pizzi, Antonio Maria Chiarelli, Piero Chiacchiaretta, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 26

Coherent neural oscillations inform early stroke motor recovery
Jessica M. Cassidy, Anirudh Wodeyar, Ramesh Srinivasan, et al.
Human Brain Mapping (2021) Vol. 42, Iss. 17, pp. 5636-5647
Open Access | Times Cited: 23

Motor Impairment in Stroke Patients Is Associated With Network Properties During Consecutive Motor Imagery
Minji Lee, Yun‐Hee Kim, Seong‐Whan Lee
IEEE Transactions on Biomedical Engineering (2022) Vol. 69, Iss. 8, pp. 2604-2615
Closed Access | Times Cited: 17

A Transferable Deep Learning Prognosis Model for Predicting Stroke Patients' Recovery in Different Rehabilitation Trainings
Ping-Ju Lin, Xiaoxue Zhai, Wei Li, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 12, pp. 6003-6011
Open Access | Times Cited: 17

Integrating EEG and Machine Learning to Analyze Brain Changes during the Rehabilitation of Broca’s Aphasia
Vanesa Močilnik, Veronika Rutar, Jakob Sajovic, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 329-329
Open Access | Times Cited: 3

MRI-Based Radiomics Approach Predicts Tumor Recurrence in ER + /HER2 − Early Breast Cancer Patients
Piero Chiacchiaretta, Domenico Mastrodicasa, Antonio Maria Chiarelli, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 1071-1080
Open Access | Times Cited: 8

Quantitative measures of the resting EEG in stroke: a systematic review on clinical correlation and prognostic value
Jacopo Lanzone, Francesco Motolese, Lorenzo Ricci, et al.
Neurological Sciences (2023) Vol. 44, Iss. 12, pp. 4247-4261
Closed Access | Times Cited: 8

Brain electrical microstate features as biomarkers of a stable motor output
Pierpaolo Croce, Franca Tecchio, Gabriella Tamburro, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 5, pp. 056042-056042
Open Access | Times Cited: 12

From data to decisions: AI and functional connectivity for diagnosis, prognosis, and recovery prediction in stroke
Alessia Cacciotti, Chiara Pappalettera, Francesca Miraglia, et al.
GeroScience (2024)
Closed Access | Times Cited: 2

Multimodal Machine Learning for Stroke Prognosis and Diagnosis: A Systematic Review
Saeed Shurrab, Alejandro Guerra-Manzanares, Amani Magid, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 11, pp. 6958-6973
Open Access | Times Cited: 2

Advancing research on odor-induced sweetness enhancement: A EEG local-global fusion transformer network for sweetness quantification combined with EEG technology
Xiuxin Xia, Yatao Cheng, Z.G. Zhang, et al.
Food Chemistry (2024) Vol. 463, pp. 141533-141533
Closed Access | Times Cited: 2

Effective Intracerebral Connectivity in Acute Stroke: A TMS–EEG Study
Franca Tecchio, Federica Giambattistelli, Camillo Porcaro, et al.
Brain Sciences (2023) Vol. 13, Iss. 2, pp. 233-233
Open Access | Times Cited: 6

Optimality Condition and Distributed Optimization for Economic Dispatch Using a Novel Weighted Incremental Cost Consensus Approach
Um-E-Habiba Alvi, Waqas Ahmed, Keum‐Shik Hong, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 7

Brain Network Organization Following Post-Stroke Neurorehabilitation
Antonino Naro, Loris Pignolo, Rocco Salvatore Calabrò
International Journal of Neural Systems (2022) Vol. 32, Iss. 04
Closed Access | Times Cited: 6

Detection of the Intention of Direction Changes During Gait Through EEG Signals
Paula Soriano-Segura, Eduardo Iáñez, Mario Ortíz, et al.
International Journal of Neural Systems (2021) Vol. 31, Iss. 11
Closed Access | Times Cited: 5

Electroencephalography oscillations can predict the cortical response following theta burst stimulation
Guiyuan Cai, Jiayue Xu, Qian Ding, et al.
Brain Research Bulletin (2024) Vol. 208, pp. 110902-110902
Open Access

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