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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:

Deep-Learning-Based Diagnosis and Prognosis of Alzheimer’s Disease: A Comprehensive Review
Rahul Sharma, Tripti Goel, M. Tanveer, et al.
IEEE Transactions on Cognitive and Developmental Systems (2023) Vol. 15, Iss. 3, pp. 1123-1138
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A hybrid multimodal machine learning model for Detecting Alzheimer's disease
Jinhua Sheng, Qian Zhang, Qiao Zhang, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 108035-108035
Closed Access | Times Cited: 14
Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges
M. Tanveer, M. Sajid, Mushir Akhtar, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 10, pp. 5477-5492
Closed Access | Times Cited: 12
A coupled-GAN architecture to fuse MRI and PET image features for multi-stage classification of Alzheimer’s disease
Chandrajit Choudhury, Tripti Goel, M. Tanveer
Information Fusion (2024) Vol. 109, pp. 102415-102415
Closed Access | Times Cited: 7
A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer’s Disease involving data synthesis
Ke Chen, Ying Weng, Akram A. Hosseini, et al.
Neural Networks (2023) Vol. 169, pp. 442-452
Open Access | Times Cited: 15
Dual-stream Representation Fusion Learning for accurate medical image segmentation
Rongtao Xu, Changwei Wang, Shibiao Xu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106402-106402
Closed Access | Times Cited: 14
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern
M. Sajid, Rahul Sharma, Iman Beheshti, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2024) Vol. 14, Iss. 5
Closed Access | Times Cited: 5
Enhanced detection of mild cognitive impairment in Alzheimer’s disease: a hybrid model integrating dual biomarkers and advanced machine learning
John Sahaya Rani Alex, R. Roshini, Gummadivelli Maneesha, et al.
BMC Geriatrics (2025) Vol. 25, Iss. 1
Open Access
Multimodal Cross-Scale Context Clusters for Classification of Mental Disorders Using Functional and Structural MRI
Shuqi Yang, Qing Lan, Lijuan Zhang, et al.
Neural Networks (2025), pp. 107209-107209
Closed Access
A Graph Structure-Feature Learning Network for Diagnosing Alzheimer’s Disease Based on Multi-modal Brain Biometric Feature
Dongxu Shang, Huabin Wang, Mengxin Zhang, et al.
Lecture notes in computer science (2025), pp. 282-291
Closed Access
Interpretable 2.5D network by hierarchical attention and consistency learning for 3D MRI classification
S.L.A. Pang, Yidi Chen, Xiaoshuang Shi, et al.
Pattern Recognition (2025), pp. 111539-111539
Closed Access
A memory failure computational model in Alzheimer-like disease via continuous delayed Hopfield network with Lurie control system based healing
Rafael Fernandes Pinheiro, Diego Colón, Rui Fonseca-Pinto
Neurocomputing (2025), pp. 129967-129967
Closed Access
Alzheimer’s disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier
Tripti Goel, Shradha Verma, M. Tanveer, et al.
Information Fusion (2025), pp. 102917-102917
Closed Access
Inspired by pathogenic mechanisms: A novel gradual multi-modal fusion framework for mild cognitive impairment diagnosis
Xu Tian, Hong‐Dong Li, Hanhe Lin, et al.
Neural Networks (2025) Vol. 187, pp. 107343-107343
Closed Access
A Custom Convolutional Neural Network Model-Based Bioimaging Technique for Enhanced Accuracy of Alzheimer’s Disease Detection
G. Pradeep Reddy, Duppala Rohan, Shaik Mohammed Abdul Kareem, et al.
(2025), pp. 47-47
Open Access
Classification of Developmental and Brain Disorders via Graph Convolutional Aggregation
Ibrahim Salim, A. Ben Hamza
Cognitive Computation (2023) Vol. 16, Iss. 2, pp. 701-716
Closed Access | Times Cited: 10
Universum twin support vector machine with truncated pinball loss
Anuradha Kumari, M. Tanveer
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106427-106427
Open Access | Times Cited: 9
Dynamically stabilized recurrent neural network optimized with Artificial Gorilla Troops espoused Alzheimer’s disorder detection using EEG signals
G. Sudha, N. Saravanan, M. Muthalakshmi, et al.
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 3
Multi-Task Learning for Alzheimer's Disease Diagnosis and Mini-Mental State Examination Score Prediction
Jin Liu, Xu Tian, Hanhe Lin, et al.
Big Data Mining and Analytics (2024) Vol. 7, Iss. 3, pp. 828-842
Open Access | Times Cited: 2
Multi-scale multimodal deep learning framework for Alzheimer's disease diagnosis
M. Abdel-Aziz, Tianfu Wang, Waqas Anwaar, et al.
Computers in Biology and Medicine (2024) Vol. 184, pp. 109438-109438
Closed Access | Times Cited: 2
Role of Artificial Intelligence Techniques and Neuroimaging Modalities in Detection of Parkinson’s Disease: A Systematic Review
Nikita Aggarwal, Barjinder Singh Saini, Savita Gupta
Cognitive Computation (2023) Vol. 16, Iss. 4, pp. 2078-2115
Closed Access | Times Cited: 6
Alzheimer’s Disease Prediction Using Deep Feature Extraction and Optimization
Farah Mohammad, Saad Al-Ahmadi
Mathematics (2023) Vol. 11, Iss. 17, pp. 3712-3712
Open Access | Times Cited: 6
Predicting changes in brain metabolism and progression from mild cognitive impairment to dementia using multitask Deep Learning models and explainable AI
Fernando García‐Gutiérrez, Laura Hernández‐Lorenzo, María Nieves Cabrera‐Martín, et al.
NeuroImage (2024) Vol. 297, pp. 120695-120695
Open Access | Times Cited: 1
Reviewing the Impact of Machine Learning on Disease Diagnosis and Prognosis: A Comprehensive Analysis
Radha Raman Chandan, Jagendra Singh, Vinayakumar Ravi, et al.
The Open Pain Journal (2024) Vol. 17, Iss. 1
Open Access
EMPOWERING SELF-DETECTION: A GRAPHICAL USER INTERFACE POWERED BY MACHINE LEARNING FOR EARLY DIAGNOSIS OF ALZHEIMER'S DISEASE
Abdullah Talha Kabakuş, Pakize Erdoğmuş
İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi (2024)
Open Access
A novel dual-branch Alzheimer’s disease diagnostic model based on distinguishing atrophic patch localization
Yue Tu, Shukuan Lin, Jianzhong Qiao, et al.
Applied Intelligence (2024) Vol. 54, Iss. 19, pp. 9067-9087
Closed Access
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