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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:

Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning
Yanwu Yang, Chenfei Ye, Xutao Guo, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 108-121
Closed Access | Times Cited: 22

Showing 22 citing articles:

Alzheimer’s Disease Prediction via Brain Structural-Functional Deep Fusing Network
Qiankun Zuo, Yanyan Shen, Na Zhong, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4601-4612
Open Access | Times Cited: 20
Electrode Domain Adaptation Network: Minimizing the Difference Across Electrodes in Single-Source to Single-Target Motor Imagery Classification
Zhige Chen, Rui Yang, Mengjie Huang, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 2, pp. 1994-2008
Closed Access | Times Cited: 6
Advancing brain tumor segmentation and grading through integration of FusionNet and IBCO-based ALCResNet
Abbas Rehman, Naijie Gu, Asma Aldrees, et al.
Image and Vision Computing (2025), pp. 105432-105432
Closed Access
Multimodal fusion model for diagnosing mild cognitive impairment in unilateral middle cerebral artery steno-occlusive disease
Ziyi Yuan, Zhaodi Huang, Chaojun Li, et al.
Frontiers in Aging Neuroscience (2025) Vol. 17
Open Access
Interpretable modality-specific and interactive graph convolutional network on brain functional and structural connectomes
Jing Xia, Yi Hao Chan, Deepank Girish, et al.
Medical Image Analysis (2025) Vol. 102, pp. 103509-103509
Closed Access
Deep graph learning of multimodal brain networks defines treatment-predictive signatures in major depression
Yong Jiao, Kanhao Zhao, Xinxu Wei, et al.
Molecular Psychiatry (2025)
Open Access
Adaptive composing augmentations on multi-modal graph convolutional network for disease prediction
Longfei Han, M W Wang, Xiangsen Zhang, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110277-110277
Closed Access
Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification
Qi Zhu, Shengrong Li, Xiangshui Meng, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 6, pp. 2381-2394
Closed Access | Times Cited: 3
Multi-Task Heterogeneous Ensemble Learning-Based Cross-Subject EEG Classification Under Stroke Patients
Minji Lee, Hyeong-Yeong Park, Wanjoo Park, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1767-1778
Open Access | Times Cited: 3
RT-NeuroDDSM: Real-Time EEG-Driven Diagnostic Decision Support Model for Neurological Disorders Using Deep Learning
Ruchi Mittal, John Martin, Hamdan Alshehri, et al.
IEEE Access (2024) Vol. 12, pp. 116711-116726
Open Access | Times Cited: 2
TGNet: tensor-based graph convolutional networks for multimodal brain network analysis
Zhaoming Kong, Rong Zhou, Xinwei Luo, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
Topology-Regularized Self-Knowledge Distillation for Transductive-Inductive Learning of Brain Disorder Diagnosis
Yanwu Yang, Xutao Guo, Guoqing Cai, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 4045-4049
Closed Access
Adaptive Composing Augmentations on Multi-Modal Graph Convolutional Network for Disease Prediction
Longfei Han, Mengzhan Wang, Wenxin Li, et al.
(2024)
Closed Access
Siamese Graph Convolutional Network quantifies increasing structure-function discrepancy over the cognitive decline continuum
Gurur Gamgam, Zerrin Yıldırım, Alkan Kabakçıoğlu, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 254, pp. 108290-108290
Closed Access
PD-ARnet: a deep learning approach for Parkinson's disease diagnosis from resting-state fMRI
Guangyao Li, Yalin Song, Mingyang Liang, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 5, pp. 056016-056016
Closed Access
MGDR: Multi-modal Graph Disentangled Representation for Brain Disease Prediction
Bo Jiang, Yapeng Li, Xixi Wan, et al.
Lecture notes in computer science (2024), pp. 302-312
Closed Access
Knowledge-driven multi-graph convolutional network for brain network analysis and potential biomarker discovery
Xianhua Zeng, Jianhua Gong, Weisheng Li, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103368-103368
Closed Access
SMART: Self-Weighted Multimodal Fusion for Diagnostics of Neurodegenerative Disorders
Qiu-hui Chen, Yi Hong
(2024), pp. 4426-4435
Closed Access
Multimodal Hyperbolic Graph Learning for Alzheimer's Disease Detection
C. Xie, Wenhao Zhou, Ciyuan Peng, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Modeling Brain Functional Networks Using Graph Neural Networks: A Review and Clinical Application
Wei Zhang, Qian Hong
IECE transactions on intelligent systematics. (2024) Vol. 1, Iss. 2, pp. 58-68
Closed Access
A hypergraph transformer method for brain disease diagnosis
Xiangmin Han, J. H. Feng, Heming Xu, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Multimodal Hyperbolic Graph Learning for Alzheimer’s Disease Detection
C. Xie, Wenhao Zhou, Ciyuan Peng, et al.
Lecture notes in computer science (2024), pp. 390-403
Closed Access
Exploring the impact of APOE ɛ4 on functional connectivity in Alzheimer’s disease across cognitive impairment levels
Kangli Dong, Wei Liang, Ting Hou, et al.
NeuroImage (2024) Vol. 305, pp. 120951-120951
Open Access
Multi-modal cross-domain self-supervised pre-training for fMRI and EEG fusion
Xinxu Wei, Kanhao Zhao, Yong Jiao, et al.
Neural Networks (2024), pp. 107066-107066
Closed Access
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