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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:

Regional Brain Fusion: Graph Convolutional Network for Alzheimer's Disease Prediction and Analysis
Wenchao Li, Jiaqi Zhao, Chenyu Shen, et al.
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 18

Showing 18 citing articles:

Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Ahmed Elazab, Changmiao Wang, M. Abdel-Aziz, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124780-124780
Closed Access | Times Cited: 11
Natural product-based pharmacological studies for neurological disorders
Vivek Puri, Neha Kanojia, Ameya Sharma, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 23
A Convolutional Neural Network and Graph Convolutional Network Based Framework for AD Classification
Lan Lin, Min Xiong, Ge Zhang, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 1914-1914
Open Access | Times Cited: 15
Artificial intelligence for dementia research methods optimization
Magda Bucholc, Charlotte James, Ahmad Al Khleifat, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5934-5951
Open Access | Times Cited: 15
A multiscale model to explain the spatiotemporal progression of amyloid beta and tau pathology in Alzheimer's disease
Chunrui Xu, Enze Xu, Yang Xiao, et al.
International Journal of Biological Macromolecules (2025), pp. 142887-142887
Open Access
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
Hybrid multimodal fusion for graph learning in disease prediction
Ruomei Wang, Wei Guo, Yongjie Wang, et al.
Methods (2024) Vol. 229, pp. 41-48
Closed Access | Times Cited: 3
Comorbidity-based framework for Alzheimer’s disease classification using graph neural networks
Ferial Abuhantash, Mohd Khalil Abu Hantash, Aamna AlShehhi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
A feature-aware multimodal framework with auto-fusion for Alzheimer’s disease diagnosis
Meiwei Zhang, Qiushi Cui, Yang Lü, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108740-108740
Closed Access | Times Cited: 2
Chemical environment adaptive learning for optical band gap prediction of doped graphitic carbon nitride nanosheets
Chen Chen, Enze Xu, Defu Yang, et al.
Neural Computing and Applications (2024) Vol. 37, Iss. 5, pp. 3287-3301
Open Access | Times Cited: 2
Tau trajectory in Alzheimer’s disease: Evidence from the connectome-based computational models
Veera Raghavulu Bitra, Siva Reddy Challa, Paul C. Adiukwu, et al.
Brain Research Bulletin (2023) Vol. 203, pp. 110777-110777
Open Access | Times Cited: 6
A multimodal learning machine framework for Alzheimer’s disease diagnosis based on neuropsychological and neuroimaging data
Meiwei Zhang, Qiushi Cui, Yang Lü, et al.
Computers & Industrial Engineering (2024), pp. 110625-110625
Closed Access | Times Cited: 1
Pathology steered stratification network for subtype identification in Alzheimer's disease
Enze Xu, Jingwen Zhang, Jiadi Li, et al.
Medical Physics (2023) Vol. 51, Iss. 2, pp. 1190-1202
Open Access | Times Cited: 2
An Evolving Hypergraph Convolutional Network for the Diagnosis of Alzheimer’s Disease
Xinlei Wang, Junchang Xin, Zhongyang Wang, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2632-2632
Open Access | Times Cited: 4
Comorbidity-based framework for Alzheimer’sdisease classification using graph neural networks
Ferial Abuhantash, Mohd. K Abuhantash, Aamna AlShehhi
Research Square (Research Square) (2024)
Open Access
Multimodal feature fusion-based graph convolutional networks for Alzheimer’s disease stage classification using F-18 florbetaben brain PET images and clinical indicators
Gyu-Bin Lee, Young-Jin Jeong, Do‐Young Kang, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0315809-e0315809
Open Access
Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions
Hamed Mohammadi, Waldemar Karwowski
Brain Sciences (2024) Vol. 15, Iss. 1, pp. 17-17
Open Access
Advancing Alzheimer's Disease Detection Harnessing Graph Convolutional Networks For Enhanced Early Identification
Aafiya, Jeyachidra
Deleted Journal (2024) Vol. 2, Iss. 04, pp. 1019-1027
Open Access
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