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:
Early Detection of Alzheimer’s Disease Based on Laplacian Re-Decomposition and XGBoosting
Hala Ahmed, H.M. Soliman, Shaker El–Sappagh, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 2773-2795
Open Access | Times Cited: 10
Hala Ahmed, H.M. Soliman, Shaker El–Sappagh, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 2773-2795
Open Access | Times Cited: 10
Showing 10 citing articles:
Explainable Artificial Intelligence of Multi-Level Stacking Ensemble for Detection of Alzheimer’s Disease Based on Particle Swarm Optimization and the Sub-Scores of Cognitive Biomarkers
Abdulaziz AlMohimeed, Redhwan M. A. Saad, Sherif Mostafa, et al.
IEEE Access (2023) Vol. 11, pp. 123173-123193
Open Access | Times Cited: 15
Abdulaziz AlMohimeed, Redhwan M. A. Saad, Sherif Mostafa, et al.
IEEE Access (2023) Vol. 11, pp. 123173-123193
Open Access | Times Cited: 15
Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review
Milad Yousefi, Masih Akhbari, Zhina Mohamadi, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 4
Milad Yousefi, Masih Akhbari, Zhina Mohamadi, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 4
LSTM deep learning model for Alzheimer’s disease prediction based on cost-effective time series cognitive scores
Hager Saleh, Nora El-Rashidy, Tamer Abuhmed, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 5
Hager Saleh, Nora El-Rashidy, Tamer Abuhmed, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 5
Explainability of random survival forests in predicting conversion risk from mild cognitive impairment to Alzheimer’s disease
Alessia Sarica, Federica Aracri, Maria Giovanna Bianco, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Alessia Sarica, Federica Aracri, Maria Giovanna Bianco, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Accelerating Alzheimer's Research with Machine Learning Models for Improved Detection
G. Kavitha, K. Sudha, D. Jayasutha, et al.
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2023), pp. 855-862
Closed Access | Times Cited: 3
G. Kavitha, K. Sudha, D. Jayasutha, et al.
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2023), pp. 855-862
Closed Access | Times Cited: 3
Prediction of Alzheimer's disease - A Machine Learning Perspective with Ensemble Learning
Akhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakarabarti, et al.
(2023), pp. 2308-2313
Closed Access | Times Cited: 1
Akhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakarabarti, et al.
(2023), pp. 2308-2313
Closed Access | Times Cited: 1
Genetic algorithms based optimized hybrid deep learning model for explainable Alzheimer's prediction based on temporal multimodal cognitive data
Hager Saleh, Nora El-Rashidy, Mohamed Abd Elaziz, et al.
Research Square (Research Square) (2023)
Open Access
Hager Saleh, Nora El-Rashidy, Mohamed Abd Elaziz, et al.
Research Square (Research Square) (2023)
Open Access
Cerebral Cortex Segmentation from MR Brain Images based on Contouring Technique to Detect Alzheimer’s Disease
Sivanesan Rajangam, P. Kalavathi
International Journal of Computing and Digital Systems (2023) Vol. 14, Iss. 1, pp. 791-801
Open Access
Sivanesan Rajangam, P. Kalavathi
International Journal of Computing and Digital Systems (2023) Vol. 14, Iss. 1, pp. 791-801
Open Access
Alzheimer Detection Using Tuner Optimization with Deep Learning Algorithm
Sanchit Vashisht, Bhanu Sharma, Shweta Lamba
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access
Sanchit Vashisht, Bhanu Sharma, Shweta Lamba
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access
Alzheimer Disease Detection Using Deep Learning Algorithm
Sanchit Vashisht, Bhanu Sharma, Rahul Chauhan, et al.
(2023), pp. 1-5
Closed Access
Sanchit Vashisht, Bhanu Sharma, Rahul Chauhan, et al.
(2023), pp. 1-5
Closed Access
