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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 graph super-resolution for boosting neurological disorder diagnosis using unsupervised multi-topology connectional brain template learning
Islem Mhiri, Anouar Ben Khalifa, Mohamed Ali Mahjoub, et al.
Medical Image Analysis (2020) Vol. 65, pp. 101768-101768
Closed Access | Times Cited: 16

Showing 16 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: 164
SR-RDFAN-LOG: Arbitrary-scale logging image super-resolution reconstruction based on residual dense feature aggregation
Yi Rong, Mingbin Jia, Yufei Zhan, et al.
Geoenergy Science and Engineering (2024) Vol. 240, pp. 213042-213042
Closed Access | Times Cited: 3
DMDF-Net: Dual multiscale dilated fusion network for accurate segmentation of lesions related to COVID-19 in lung radiographic scans
Muhammad Owais, Na Rae Baek, Kang Ryoung Park
Expert Systems with Applications (2022) Vol. 202, pp. 117360-117360
Open Access | Times Cited: 15
Brain graph synthesis by dual adversarial domain alignment and target graph prediction from a source graph
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
Medical Image Analysis (2020) Vol. 68, pp. 101902-101902
Closed Access | Times Cited: 19
AI-based chest CT semantic segmentation algorithm enables semi-automated lung cancer surgery planning by recognizing anatomical variants of pulmonary vessels
Xiuyuan Chen, Hao Xu, Qingyi Qi, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 12
Brain multigraph prediction using topology-aware adversarial graph neural network
Alaa Bessadok, Mohamed Ali Mahjoub, Islem Rekik
Medical Image Analysis (2021) Vol. 72, pp. 102090-102090
Open Access | Times Cited: 15
Brain graph super-resolution using adversarial graph neural network with application to functional brain connectivity
Megi Isallari, Islem Rekik
Medical Image Analysis (2021) Vol. 71, pp. 102084-102084
Open Access | Times Cited: 14
Multigraph classification using learnable integration network with application to gender fingerprinting
Nada Chaari, Mohammed Amine Gharsallaoui, Hatice Camgöz Akdağ, et al.
Neural Networks (2022) Vol. 151, pp. 250-263
Closed Access | Times Cited: 8
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes
Megi Isallari, Islem Rekik
Lecture notes in computer science (2020), pp. 139-149
Closed Access | Times Cited: 11
A Novel Public Database of Lymphoma for Whole Body Diffusion-Weighted MRI
Radhia Ferjaoui, Sana Boujnah, Nour El Houda Kraiem, et al.
(2023), pp. 209-216
Closed Access | Times Cited: 2
Strongly Topology-Preserving GNNs for Brain Graph Super-Resolution
Pragya Singh, Islem Rekik
Lecture notes in computer science (2024), pp. 124-136
Closed Access
Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation
Ece Çınar, Sinem Elif Haseki, Alaa Bessadok, et al.
Lecture notes in computer science (2022), pp. 89-98
Closed Access | Times Cited: 2
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functional Brain Connectomes
Megi Isallari, Islem Rekik
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 2
Inter-domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning
Başar Demir, Alaa Bessadok, Islem Rekik
Lecture notes in computer science (2021), pp. 203-215
Closed Access | Times Cited: 1
Person Identification with Voice and Ear-print in Degraded Conditions for Smart Home Access
Sana Boujnah, Radhia Ferjaoui, Anouar Ben Khalifa
(2023), pp. 417-423
Closed Access
Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning.
Basar Demir, Alaa Bessadok, Islem Rekik
arXiv (Cornell University) (2021)
Closed Access
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