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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:

A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression With MEG Brain Networks
Mengjia Xu, David López Sanz, Pilar Garcés, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 68, Iss. 5, pp. 1579-1588
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review
Sergio Grueso, Raquel Viejo-Sobera
Alzheimer s Research & Therapy (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 185
Understanding Graph Embedding Methods and Their Applications
Mengjia Xu
SIAM Review (2021) Vol. 63, Iss. 4, pp. 825-853
Open Access | Times Cited: 118
A review of artificial intelligence methods for Alzheimer's disease diagnosis: Insights from neuroimaging to sensor data analysis
Ikram Bazarbekov, Abdul Razaque, Madina Ipalakova, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106023-106023
Closed Access | Times Cited: 22
Learned Image Compression With Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules
Haisheng Fu, Feng Liang, Jianping Lin, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 2063-2076
Open Access | Times Cited: 27
Topological Network Analysis of Early Alzheimer’s Disease Based on Resting-State EEG
Feng Duan, Zihao Huang, Zhe Sun, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2020) Vol. 28, Iss. 10, pp. 2164-2172
Closed Access | Times Cited: 57
Scalable algorithms for physics-informed neural and graph networks
Khemraj Shukla, Mengjia Xu, Nathaniel Trask, et al.
Data-Centric Engineering (2022) Vol. 3
Open Access | Times Cited: 32
Contrastive Graph Pooling for Explainable Classification of Brain Networks
Jiaxing Xu, Qingtian Bian, Xinhang Li, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 9, pp. 3292-3305
Open Access | Times Cited: 7
Temporal and Spatial Analysis of Alzheimer’s Disease Based on an Improved Convolutional Neural Network and a Resting-State FMRI Brain Functional Network
Haijing Sun, Anna Wang, Shanshan He
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 8, pp. 4508-4508
Open Access | Times Cited: 21
NADG-GAM: Neighbor aggregation-based neurological disease-gene identification via optimal generative adjacency matrix
Mengyuan Jin, Ziyi Deng, Yin Zhang, et al.
Applied Soft Computing (2025), pp. 112756-112756
Closed Access
AI-powered model for accurate prediction of MCI-to-AD progression
Ahmed Abdelhameed, Jingna Feng, Xinyue Hu, et al.
Acta Pharmaceutica Sinica B (2025)
Open Access
Aim-based choice of strategy for MEG-based brain state classification
Irina Saranskaia, Boris Gutkin, Denis Zakharov
The European Physical Journal Special Topics (2025)
Closed Access
Changes in information segregation and integration of aMCI based on low- and high-order functional connectivity
Rui Su, Haibo Yang, Yaru Zhao, et al.
Cerebral Cortex (2025) Vol. 35, Iss. 4
Closed Access
Ensemble deep learning approach for early diagnosis of Alzheimer's disease
Rajasekhar Butta, Mastan Sharif Shaik, G. L. N. Murthy
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3
Motico: An attentional mechanism network model for smart aging disease risk prediction based on image data classification
Feng Zhou, Shijing Hu, Xin Du, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108763-108763
Closed Access | Times Cited: 3
Connectome Graph Attention Network (CGAT): A Multimodal approach for enhanced classification of Alzheimer's disease
P. Udayakumar, R. Subhashini
Results in Engineering (2025), pp. 105200-105200
Open Access
Brain network analysis for the discrimination of dementia disorders using electrophysiology signals: A systematic review
Abdulyekeen T. Adebisi, Kalyana C. Veluvolu
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 7
Disease-grading networks with ordinal regularization for medical imaging
Wenqiang Tang, Zhouwang Yang, Yanzhi Song
Neurocomputing (2023) Vol. 545, pp. 126245-126245
Closed Access | Times Cited: 7
An F-ratio-based method for estimating the number of active sources in MEG
Amita Giri, John C. Mosher, Amir Adler, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 5
Hyperbolic graph embedding of MEG brain networks to study brain alterations in individuals with subjective cognitive decline
Cole Baker, Isabel Suárez-Méndez, Grace Smith, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 5
Unified topological inference for brain networks in temporal lobe epilepsy using the Wasserstein distance
Moo K. Chung, Camille Garcia Ramos, Felipe Branco De Paiva, et al.
NeuroImage (2023) Vol. 284, pp. 120436-120436
Open Access | Times Cited: 4
Topological state-space estimation of functional human brain networks
Moo K. Chung, Shih-Gu Huang, Ian C. Carroll, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 5, pp. e1011869-e1011869
Open Access | Times Cited: 1
Deep Forest With Multi-Channel Message Passing and Neighborhood Aggregation Mechanisms for Brain Network Classification
Junzhong Ji, Junwei Li
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 11, pp. 5608-5618
Closed Access | Times Cited: 7
DynG2G: An Efficient Stochastic Graph Embedding Method for Temporal Graphs
Mengjia Xu, Apoorva Vikram Singh, George Em Karniadakis
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 1, pp. 985-998
Open Access | Times Cited: 6
New Therapeutics in Alzheimer’s Disease Longitudinal Cohort study (NTAD): study protocol
Juliette H Lanskey, Ece Kocagöncü, Andrew J. Quinn, et al.
BMJ Open (2022) Vol. 12, Iss. 12, pp. e055135-e055135
Open Access | Times Cited: 6
Individual-specific networks for prediction modelling – A scoping review of methods
Mariella Gregorich, Federico Melograna, Martina Sunqvist, et al.
BMC Medical Research Methodology (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 5
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