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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:

Two-stage deep learning model for Alzheimer’s disease detection and prediction of the mild cognitive impairment time
Shaker El–Sappagh, Hager Saleh, Farman Ali, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 17, pp. 14487-14509
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

An adaptive multiscale fully convolutional network for bearing fault diagnosis under noisy environments
Fan Li, Liping Wang, Decheng Wang, et al.
Measurement (2023) Vol. 216, pp. 112993-112993
Closed Access | Times Cited: 49
A deep learning framework for early diagnosis of Alzheimer’s disease on MRI images
Doaa Ahmed Arafa, Hossam El-Din Moustafa, Hesham Ali, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 3767-3799
Open Access | Times Cited: 44
Automatic detection of Alzheimer’s disease progression: An efficient information fusion approach with heterogeneous ensemble classifiers
Shaker El–Sappagh, Farman Ali, Tamer Abuhmed, et al.
Neurocomputing (2022) Vol. 512, pp. 203-224
Closed Access | Times Cited: 63
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data
Nasir Rahim, Shaker El–Sappagh, Sajid Ali, et al.
Information Fusion (2022) Vol. 92, pp. 363-388
Closed Access | Times Cited: 58
Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey
Omer Asghar Dara, José Manuel López-Guede, Hasan Issa Raheem, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8298-8298
Open Access | Times Cited: 26
Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Shaker El–Sappagh, José M. Alonso, Tamer Abuhmed, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 11149-11296
Closed Access | Times Cited: 25
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
A multiview-slice feature fusion network for early diagnosis of Alzheimer’s disease with structural MRI images
Hesheng Huang, Witold Pedrycz, Kaoru Hirota, et al.
Information Fusion (2025) Vol. 119, pp. 103010-103010
Closed Access | Times Cited: 1
RETRACTED ARTICLE: Deep learning and image processing-based early detection of Alzheimer disease in cognitively normal individuals
Pradnya Borkar, Wankhede Vishal Ashok, Deepak Mane, et al.
Soft Computing (2023) Vol. 28, Iss. S2, pp. 637-637
Closed Access | Times Cited: 18
Alzheimer's disease diagnosis in the metaverse
Jalal Safari Bazargani, Nasir Rahim, Abolghasem Sadeghi‐Niaraki, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 255, pp. 108348-108348
Closed Access | Times Cited: 7
Information fusion-based Bayesian optimized heterogeneous deep ensemble model based on longitudinal neuroimaging data
Nasir Rahim, Shaker El–Sappagh, Haytham Rizk, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111749-111749
Closed Access | Times Cited: 6
Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients
Firuz Juraev, Shaker El–Sappagh, Eldor Abdukhamidov, et al.
Journal of Biomedical Informatics (2022) Vol. 135, pp. 104216-104216
Open Access | Times Cited: 25
Multitask Deep Learning for Cost-Effective Prediction of Patient's Length of Stay and Readmission State Using Multimodal Physical Activity Sensory Data
Sajid Ali, Shaker El–Sappagh, Farman Ali, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 12, pp. 5793-5804
Closed Access | Times Cited: 24
SBERO: Skill Al‐Biruni Earth Radius Optimization for Alzheimer's Disease Classification Using Magnetic Resonance Image
P. Gowsikraja, K. Geetha, C. Rajan
NMR in Biomedicine (2025) Vol. 38, Iss. 3
Closed Access
Alzheimer’s Prediction Methods with Harris Hawks Optimization (HHO) and Deep Learning-Based Approach Using an MLP-LSTM Hybrid Network
Raheleh Ghadami, Javad Rahebi
Diagnostics (2025) Vol. 15, Iss. 3, pp. 377-377
Open Access
Alzheimer's Disease detection and classification using optimized neural network
Nair Bini Balakrishnan, Anitha S. Pillai, Jisha Jose Panackal, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109810-109810
Closed Access
Conversion-aware forecasting of Alzheimer’s disease via featurewise attention
Elvan Karasu, İnci M. Baytaş
Pattern Analysis and Applications (2025) Vol. 28, Iss. 2
Open Access
Enhancing dementia diagnosis with Dual-Swarm optimisation and Opposition-Based learning: the DSO-OBL approach
D. Kavitha, A. Murugan
Journal of Experimental & Theoretical Artificial Intelligence (2025), pp. 1-26
Closed Access
Time-series visual explainability for Alzheimer’s disease progression detection for smart healthcare
Nasir Rahim, Tamer Abuhmed, Seyedali Mirjalili, et al.
Alexandria Engineering Journal (2023) Vol. 82, pp. 484-502
Open Access | Times Cited: 11
Machine learning-based prediction of mild cognitive impairment among individuals with normal cognitive function
Xia Wei Zhu, Sibo Liu, Chen Hua Ji, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 4
Residual-Based Multi-Stage Deep Learning Framework for Computer-Aided Alzheimer’s Disease Detection
Najmul Hassan, Abu Saleh Musa Miah, Jungpil Shin
Journal of Imaging (2024) Vol. 10, Iss. 6, pp. 141-141
Open Access | Times Cited: 4
Alzheimer’s Disease Detection via Multiscale Feature Modelling Using Improved Spatial Attention Guided Depth Separable CNN
Santosh Kumar Tripathy, Rudra Kalyan Nayak, Kartik Shankar Gadupa, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 3
A Modified Bio-Inspired Optimizer with Capsule Network for Diagnosis of Alzheimer Disease
Praveena Ganesan, G. P. Ramesh, C. Puttamdappa, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6798-6798
Open Access | Times Cited: 3
Early Alzheimer’s Disease Detection: A Review of Machine Learning Techniques for Forecasting Transition from Mild Cognitive Impairment
Soraisam Gobinkumar Singh, Dulumani Das, Utpal Barman, et al.
Diagnostics (2024) Vol. 14, Iss. 16, pp. 1759-1759
Open Access | Times Cited: 3
Real-world prediction of preclinical Alzheimer’s disease with a deep generative model
Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, et al.
Artificial Intelligence in Medicine (2023) Vol. 144, pp. 102654-102654
Open Access | Times Cited: 7
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