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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:

Machine Learning for the Classification of Alzheimer’s Disease and Its Prodromal Stage Using Brain Diffusion Tensor Imaging Data: A Systematic Review
Lucia Billeci, Asia Badolato, Lorenzo Bachi, et al.
Processes (2020) Vol. 8, Iss. 9, pp. 1071-1071
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Alzheimer's disease prediction using machine learning techniques and principal component analysis (PCA)
M. Sudharsan, G. Thailambal
Materials Today Proceedings (2021) Vol. 81, pp. 182-190
Closed Access | Times Cited: 60
The performance of artificial intelligence-driven technologies in diagnosing mental disorders: an umbrella review
Alaa Abd‐Alrazaq, Dari Alhuwail, Jens Schneider, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 57
Diagnosis and Detection of Alzheimer's Disease Using Learning Algorithm
Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, et al.
Big Data Mining and Analytics (2023) Vol. 6, Iss. 4, pp. 504-512
Open Access | Times Cited: 27
Deep learning methods for early detection of Alzheimer’s disease using structural MR images: a survey
Sonia Ben Hassen, Mohamed Néji, Zain Hussain, et al.
Neurocomputing (2024) Vol. 576, pp. 127325-127325
Closed Access | Times Cited: 10
Multi-modality MRI for Alzheimer’s disease detection using deep learning
Latifa Houria, Noureddine Belkhamsa, Assia Cherfa, et al.
Physical and Engineering Sciences in Medicine (2022) Vol. 45, Iss. 4, pp. 1043-1053
Closed Access | Times Cited: 34
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: 7
Machine learning, artificial intelligence and the prediction of dementia
Alexander Merkin, Rita Krishnamurthi, Oleg N. Medvedev
Current Opinion in Psychiatry (2021) Vol. 35, Iss. 2, pp. 123-129
Closed Access | Times Cited: 40
An Ensemble Learning Approach Based on Diffusion Tensor Imaging Measures for Alzheimer’s Disease Classification
Eufemia Lella, Andrea Pazienza, Domenico Lofù, et al.
Electronics (2021) Vol. 10, Iss. 3, pp. 249-249
Open Access | Times Cited: 32
Utilizing Siamese 4D-AlzNet and Transfer Learning to Identify Stages of Alzheimer’s Disease
Atif Mehmood, Farah Shahid, Rizwan Khan, et al.
Neuroscience (2024) Vol. 545, pp. 69-85
Closed Access | Times Cited: 4
A review of the applications of generative adversarial networks to structural and functional MRI based diagnostic classification of brain disorders
Nguyen Huynh, Gopikrishna Deshpande
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 4
Multimodal dementia identification using lifestyle and brain lesions, a machine learning approach
Ahmad Akbarifar, Adel Maghsoudpour, Fatemeh Mohammadian, et al.
AIP Advances (2024) Vol. 14, Iss. 6
Open Access | Times Cited: 4
Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights
J. Deepa Anbarasi, Radha Kumari, Malvika Ganesh, et al.
BMC Neurology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Vitamin D and Folate as Predictors of MMSE in Alzheimer’s Disease: A Machine Learning Analysis
Giuseppe Murdaca, Sara Banchero, Alessandro Tonacci, et al.
Diagnostics (2021) Vol. 11, Iss. 6, pp. 940-940
Open Access | Times Cited: 26
Early detection of dementia using artificial intelligence and multimodal features with a focus on neuroimaging: A systematic literature review
Ovidijus Grigas, Rytis Maskeliūnas, Robertas Damaševičius
Health and Technology (2024) Vol. 14, Iss. 2, pp. 201-237
Closed Access | Times Cited: 3
Image processing: an early detection tool for Alzheimer’s disease
Sangeeta Ballav, Bini Biswas, Saurabh Dey, et al.
Elsevier eBooks (2023), pp. 99-136
Closed Access | Times Cited: 8
A comprehensive review on detection and classification of dementia using neuroimaging and machine learning
Nikhil Pateria, Dilip Kumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 17, pp. 52365-52403
Closed Access | Times Cited: 5
Association of longitudinal cognitive decline with diffusion MRI in Gray Matter, Amyloid, and Tau deposition
Wei‐en Wang, Rob Chen, Robin Perry Mayrand, et al.
Neurobiology of Aging (2022) Vol. 121, pp. 166-178
Open Access | Times Cited: 8
Neuroimaging Analysis for Early Diagnosis of ADNI Progression with EfficientNet
J. Jeyalakshmi, J Lokesh Kumar, S Vishnu
(2024), pp. 1555-1560
Closed Access | Times Cited: 1
Application of artificial intelligence in clinical diagnosis and treatment: an overview of systematic reviews
Shouyuan Wu, Jianjian Wang, Qiangqiang Guo, et al.
Intelligent Medicine (2021) Vol. 2, Iss. 2, pp. 88-96
Open Access | Times Cited: 9
An Recognition of Alzheimer Disease using Brain MRI Images with DPNMM through Adaptive Model
M. Sudharsan, G. Thailambal
2022 International Conference on Edge Computing and Applications (ICECAA) (2022), pp. 952-959
Closed Access | Times Cited: 6
Classification of neuroimaging data in Alzheimer’s disease using particle swarm optimization: A systematic review
Suhail Ahmad Dar, Nasheed Imtiaz
Applied Neuropsychology Adult (2023), pp. 1-12
Closed Access | Times Cited: 3
Deep Learning techniques for effective diagnosis of Alzheimer's disease using MRI images
Prajakta Tambe, Rutuja Saigaonkar, Nidhi Devadiga, et al.
ITM Web of Conferences (2021) Vol. 40, pp. 03021-03021
Open Access | Times Cited: 6
Pre-training and ensembling based Alzheimer’s disease detection
Fan Xu, Qihang Zheng, Jia Shi, et al.
Technology and Health Care (2023) Vol. 32, Iss. 1, pp. 379-395
Closed Access | Times Cited: 2
Progression Analysis and Facial Emotion Recognition in Dementia Patients Using Machine Learning
Afrin Siddiqui, Pooja Khanna, Sachin Kumar, et al.
Lecture notes in networks and systems (2023), pp. 489-500
Closed Access | Times Cited: 2
Trial Analysis of Brain Activity Information for the Presymptomatic Disease Detection of Rheumatoid Arthritis
Keisuke Maeda, Takahiro Ogawa, Tasuku Kayama, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 523-523
Open Access
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