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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:

Alzheimer’s Disease stage identification using deep learning models
Santos Bringas, Sergio Salomón, Rafael Duque, et al.
Journal of Biomedical Informatics (2020) Vol. 109, pp. 103514-103514
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Convolutional neural networks for Alzheimer’s disease detection on MRI images
Amir Ebrahimi Ghahnavieh, Suhuai Luo, for the Alzheimer’s Disease Neuroimaging Initiative
Journal of Medical Imaging (2021) Vol. 8, Iss. 02
Open Access | Times Cited: 74
Diagnosis of Alzheimer’s disease via an attention-based multi-scale convolutional neural network
Zhenbing Liu, Haoxiang Lu, Xipeng Pan, et al.
Knowledge-Based Systems (2021) Vol. 238, pp. 107942-107942
Closed Access | Times Cited: 67
A Robust Distributed Deep Learning Approach to Detect Alzheimer’s Disease from MRI Images
Tapotosh Ghosh, Md Istakiak Adnan Palash, Mohammad Abu Yousuf, et al.
Mathematics (2023) Vol. 11, Iss. 12, pp. 2633-2633
Open Access | Times Cited: 23
Deep Learning Based Alzheimer Disease Diagnosis: A Comprehensive Review
S. Suganyadevi, A. Shiny Pershiya, K. Balasamy, et al.
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access | Times Cited: 8
Deep learning based computer aided diagnosis of Alzheimer’s disease: a snapshot of last 5 years, gaps, and future directions
Anish Bhandarkar, Pratham Naik, Kavita Vakkund, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 2
Open Access | Times Cited: 6
Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation Study
Bogyeom Park, Se Young Kim, Jinseok Park, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e54538-e54538
Open Access | Times Cited: 6
Deep learning for Alzheimer prediction using brain biomarkers
Nitika Goenka, Shamik Tiwari
Artificial Intelligence Review (2021) Vol. 54, Iss. 7, pp. 4827-4871
Closed Access | Times Cited: 36
Recent use of deep learning techniques in clinical applications based on gait: a survey
Yume Matsushita, Dinh Tuan Tran, Hirotake Yamazoe, et al.
Journal of Computational Design and Engineering (2021) Vol. 8, Iss. 6, pp. 1499-1532
Open Access | Times Cited: 32
Deep CNN-based Classification of Brain MRI Images for Alzheimer’s Disease Diagnosis
D. Dakshayani Himabindu, B. Pranalini, Mirtipati Satish Kumar, et al.
International Journal of experimental research and review (2024) Vol. 41, Iss. Spl Vol, pp. 43-54
Open Access | Times Cited: 5
Alzheimer stages prediction using swinnet for segmentation and transfer learning based CATNet approach with SBO algorithm
Bhuvaneshwari Jolad, Mala Rao, Subhash Y. Kamdi, et al.
Multiscale and Multidisciplinary Modeling Experiments and Design (2025) Vol. 8, Iss. 2
Closed Access
Optimized Alzheimer disorder classification with DACN-MFFN utilizing OBLDE-TDO enhanced deep neural network features
M. Karthiga, E. Suganya, S. Sountharrajan, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107729-107729
Closed Access
Machine Learning Framework for the Prediction of Alzheimer’s Disease Using Gene Expression Data Based on Efficient Gene Selection
Aliaa El-Gawady, M. A. Makhlouf, B. Tawfik, et al.
Symmetry (2022) Vol. 14, Iss. 3, pp. 491-491
Open Access | Times Cited: 19
Deep Learning-Based Prediction of Alzheimer’s Disease Using Microarray Gene Expression Data
Mahmoud M. Abdelwahab, Khamis A. Al-Karawi, H. E. Semary
Biomedicines (2023) Vol. 11, Iss. 12, pp. 3304-3304
Open Access | Times Cited: 12
Early detection of Alzheimer's disease using single nucleotide polymorphisms analysis based on gradient boosting tree
Hala Ahmed, Hassan Soliman, Mohammed Elmogy
Computers in Biology and Medicine (2022) Vol. 146, pp. 105622-105622
Closed Access | Times Cited: 18
Fine-Grained and Multiple Classification for Alzheimer's Disease With Wavelet Convolution Unit Network
Jinyu Wen, Yang Li, Meie Fang, et al.
IEEE Transactions on Biomedical Engineering (2023) Vol. 70, Iss. 9, pp. 2592-2603
Closed Access | Times Cited: 7
Alzheimer’s Disease in Lebanon: Exploring Genetic and Environmental Risk Factors—A Comprehensive Review
Mohamad A. Khaled, Hadi Al-Jamal, Layla Tajer, et al.
Journal of Alzheimer s Disease (2024) Vol. 99, Iss. 1, pp. 21-40
Closed Access | Times Cited: 2
CLADSI: Deep Continual Learning for Alzheimer's Disease Stage Identification using accelerometer data
Santos Bringas, Rafael Duque, Carmen Lage, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 6, pp. 3401-3410
Open Access | Times Cited: 2
Exploring the Multimodal Integration of VR and MRI Biomarkers for Enhanced Early Detection of Mild Cognitive Impairment
Bogyeom Park, Se Young Kim, Jinseok Park, et al.
(2024), pp. 1-8
Open Access | Times Cited: 2
Smartphone accelerometer data as a proxy for clinical data in modeling of bipolar disorder symptom trajectory
Casey C. Bennett, Mindy K. Ross, EuGene Baek, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 11
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score
Xuan Di, Yiqiao Yin, Yongjie Fu, et al.
Artificial Intelligence in Medicine (2023) Vol. 138, pp. 102510-102510
Open Access | Times Cited: 5
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: 5
Advanced pattern recognition tools for disease diagnosis
Abdülhamit Subaşı, Siba Smarak Panigrahi, Bhalchandra Sunil Patil, et al.
Elsevier eBooks (2022), pp. 195-229
Closed Access | Times Cited: 8
Early detection of neurological diseases using machine learning and deep learning techniques: A review
Kunal Singh, S. Dash
Elsevier eBooks (2022), pp. 1-24
Closed Access | Times Cited: 8
Alzheimer’s Disease Detection using Deep Learning Algorithm
F. Hussain, R. Kingsly Stephen, N.P. Aditya, et al.
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 1531-1536
Closed Access | Times Cited: 1
A systematic review on recent methods on deep learning for automatic detection of alzheimer’s disease
Radhakrishna Chamakuri, Hyma Janapana
Medicine in Novel Technology and Devices (2024), pp. 100343-100343
Open Access | Times Cited: 1
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