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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:

Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states
Ines Mahjoub, Mohamed Ali Mahjoub, Islem Rekik, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Graph Neural Networks in Network Neuroscience
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 5, pp. 5833-5848
Open Access | Times Cited: 165
Toward individualized connectomes of brain morphology
Jinhui Wang, Yong He
Trends in Neurosciences (2023) Vol. 47, Iss. 2, pp. 106-119
Open Access | Times Cited: 27
Unsupervised Manifold Learning Using High-Order Morphological Brain Networks Derived From T1-w MRI for Autism Diagnosis
Mayssa Soussia, Islem Rekik
Frontiers in Neuroinformatics (2018) Vol. 12
Open Access | Times Cited: 74
Neonatal morphometric similarity mapping for predicting brain age and characterizing neuroanatomic variation associated with preterm birth
Paola Galdi, Manuel Blesa, David Q. Stoye, et al.
NeuroImage Clinical (2020) Vol. 25, pp. 102195-102195
Open Access | Times Cited: 58
Joint Pairing and Structured Mapping of Convolutional Brain Morphological Multiplexes for Early Dementia Diagnosis
Anna Lisowska, Islem Rekik
Brain Connectivity (2018) Vol. 9, Iss. 1, pp. 22-36
Open Access | Times Cited: 52
Estimation of connectional brain templates using selective multi-view network normalization
Salma Dhifallah, Islem Rekik
Medical Image Analysis (2019) Vol. 59, pp. 101567-101567
Open Access | Times Cited: 50
Machine learning methods for brain network classification: Application to autism diagnosis using cortical morphological networks
İsmail Bilgen, Göktuğ Güvercin, Islem Rekik
Journal of Neuroscience Methods (2020) Vol. 343, pp. 108799-108799
Open Access | Times Cited: 47
Gender differences in cortical morphological networks
Ahmed Nebli, Islem Rekik
Brain Imaging and Behavior (2019) Vol. 14, Iss. 5, pp. 1831-1839
Open Access | Times Cited: 45
Single-subject cortical morphological brain networks: Phenotypic associations and neurobiological substrates
Zhen Li, Junle Li, Ningkai Wang, et al.
NeuroImage (2023) Vol. 283, pp. 120434-120434
Open Access | Times Cited: 14
Calibrated multi-view graph learning framework for infant cognitive abilities prediction
Tong Xiong, Xin Zhang, Jiale Cheng, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107605-107605
Closed Access
Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction
Oytun Demirbilek, Tingying Peng, Alaa Bessadok
Lecture notes in computer science (2025), pp. 23-32
Closed Access
Identifying the best data-driven feature selection method for boosting reproducibility in classification tasks
Nicolas Georges, Islem Mhiri, Islem Rekik
Pattern Recognition (2020) Vol. 101, pp. 107183-107183
Open Access | Times Cited: 32
Morphological Brain Age Prediction using Multi-View Brain Networks Derived from Cortical Morphology in Healthy and Disordered Participants
Joshua Corps, Islem Rekik
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 31
Predicting full-scale and verbal intelligence scores from functional Connectomic data in individuals with autism Spectrum disorder
Elizabeth Dryburgh, S.J. McKenna, Islem Rekik
Brain Imaging and Behavior (2019) Vol. 14, Iss. 5, pp. 1769-1778
Open Access | Times Cited: 30
Comparative survey of multigraph integration methods for holistic brain connectivity mapping
Nada Chaari, Hatice Camgöz Akdağ, Islem Rekik
Medical Image Analysis (2023) Vol. 85, pp. 102741-102741
Open Access | Times Cited: 10
Population-based GCN method for diagnosis of Alzheimer's disease using brain metabolic or volumetric features
Yanteng Zhang, Linbo Qing, Xiaohai He, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105162-105162
Open Access | Times Cited: 10
A comprehensive survey of complex brain network representation
Haoteng Tang, Guixiang Ma, Yanfu Zhang, et al.
Meta-Radiology (2023) Vol. 1, Iss. 3, pp. 100046-100046
Open Access | Times Cited: 10
Joint functional brain network atlas estimation and feature selection for neurological disorder diagnosis with application to autism
Islem Mhiri, Islem Rekik
Medical Image Analysis (2019) Vol. 60, pp. 101596-101596
Open Access | Times Cited: 27
Deep EvoGraphNet Architecture for Time-Dependent Brain Graph Data Synthesis from a Single Timepoint
Ahmed Nebli, Uğur Ali Kaplan, Islem Rekik
Lecture notes in computer science (2020), pp. 144-155
Open Access | Times Cited: 24
MGN-Net: A multi-view graph normalizer for integrating heterogeneous biological network populations
Mustafa Burak Gürbüz, Islem Rekik
Medical Image Analysis (2021) Vol. 71, pp. 102059-102059
Open Access | Times Cited: 21
Cooperative Correlational and Discriminative Ensemble Classifier Learning for Early Dementia Diagnosis Using Morphological Brain Multiplexes
Rory Raeper, Anna Lisowska, Islem Rekik
IEEE Access (2018) Vol. 6, pp. 43830-43839
Open Access | Times Cited: 26
Clustering-based multi-view network fusion for estimating brain network atlases of healthy and disordered populations
Salma Dhifallah, Islem Rekik
Journal of Neuroscience Methods (2018) Vol. 311, pp. 426-435
Open Access | Times Cited: 25
Multi-view learning-based data proliferator for boosting classification using highly imbalanced classes
Olfa Graa, Islem Rekik
Journal of Neuroscience Methods (2019) Vol. 327, pp. 108344-108344
Open Access | Times Cited: 25
Multiple sclerosis clinical forms classification with graph convolutional networks based on brain morphological connectivity
Enyi Chen, Berardino Barile, Françoise Durand‐Dubief, et al.
Frontiers in Neuroscience (2024) Vol. 17
Open Access | Times Cited: 2
Learning-Guided Infinite Network Atlas Selection for Predicting Longitudinal Brain Network Evolution from a Single Observation
Baha Eddine Ezzine, Islem Rekik
Lecture notes in computer science (2019), pp. 796-805
Closed Access | Times Cited: 20
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