Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 and DWI Brain Communicability Networks for Alzheimer’s Disease Detection
Eufemia Lella, Angela Lombardi, Nicola Amoroso, et al.
Applied Sciences (2020) Vol. 10, Iss. 3, pp. 934-934
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances
Protima Khan, Md. Fazlul Kader, S. M. Riazul Islam, et al.
IEEE Access (2021) Vol. 9, pp. 37622-37655
Open Access | Times Cited: 158
MADGAN: unsupervised medical anomaly detection GAN using multiple adjacent brain MRI slice reconstruction
Changhee Han, Leonardo Rundo, Kohei Murao, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. S2
Open Access | Times Cited: 150
Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia
Golrokh Mirzaei, Hojjat Adeli
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103293-103293
Closed Access | Times Cited: 143
Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Michele Avanzo, M. Porzio, Leda Lorenzon, et al.
Physica Medica (2021) Vol. 83, pp. 221-241
Closed Access | Times Cited: 66
Diagnosis and classification of Alzheimer's disease by using a convolution neural network algorithm
Mosleh Hmoud Al-Adhaileh
Soft Computing (2022) Vol. 26, Iss. 16, pp. 7751-7762
Open Access | Times Cited: 30
Deep Learning for Alzheimer’s Disease Prediction: A Comprehensive Review
Isra Malik, Ahmed Iqbal, Yeong Hyeon Gu, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1281-1281
Open Access | Times Cited: 6
Machine Learning-Based Alzheimer’s Disease Stage Diagnosis Utilizing Blood Gene Expression and Clinical Data: A Comparative Investigation
M Manju Sarma, Subarna Chatterjee
Diagnostics (2025) Vol. 15, Iss. 2, pp. 211-211
Open Access
Advanced Implementation of Convolutional Neural Networks for Alzheimer's Diseases Diagnosis
Vivek Gondalia, Kalpesh Popat
SN Computer Science (2025) Vol. 6, Iss. 4
Closed Access
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
Deep and hybrid learning of MRI diagnosis for early detection of the progression stages in Alzheimer’s disease
Ibrahim Abunadi
Connection Science (2022) Vol. 34, Iss. 1, pp. 2395-2430
Open Access | Times Cited: 19
A novel approach to perform linear discriminant analyses for a 4-way alzheimer’s disease diagnosis based on an integration of pearson’s correlation coefficients and empirical cumulative distribution function
Besma Mabrouk, Ahmed Ben Hamida, Noura Mabrouki, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 31, pp. 76687-76703
Closed Access | Times Cited: 4
Analysing various algorithms applied to Alzheimer’s disease dataset to help the Future Generation
S. Athinarayanan, K. Navaz, P. Tamilselvi, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 3
Re-transfer learning and multi-modal learning assisted early diagnosis of Alzheimer’s disease
Meie Fang, Zhuxin Jin, Feiwei Qin, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 20, pp. 29159-29175
Closed Access | Times Cited: 12
Communicability distance reveals hidden patterns of Alzheimer’s disease
Eufemia Lella, Ernesto Estrada
Network Neuroscience (2020) Vol. 4, Iss. 4, pp. 1007-1029
Open Access | Times Cited: 17
Association between Structural Connectivity and Generalized Cognitive Spectrum in Alzheimer’s Disease
Angela Lombardi, Nicola Amoroso, Domenico Diacono, et al.
Brain Sciences (2020) Vol. 10, Iss. 11, pp. 879-879
Open Access | Times Cited: 15
Fully Connected Multi-Kernel Convolutional Neural Network Based on Alzheimer’s Disease Diagnosis
Lan Deng, Yuanjun Wang
Journal of Alzheimer s Disease (2023) Vol. 92, Iss. 1, pp. 209-228
Closed Access | Times Cited: 4
A Study on Datasets, Risk Factors and Machine Learning Methods Associated with Alzheimer’s Disease
Vivek Gondalia, Kalpesh Popat
Communications in computer and information science (2024), pp. 421-432
Closed Access | Times Cited: 1
Etiology of Late-Onset Alzheimer’s Disease, Biomarker Efficacy, and the Role of Machine Learning in Stage Diagnosis
M Manju Sarma, Subarna Chatterjee
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2640-2640
Open Access | Times Cited: 1
A Hierarchical Fuzzy System for Risk Assessment of Cardiovascular Disease
Gabriella Casalino, Riccardo Grassi, Marco Iannotta, et al.
(2020), pp. 1-7
Closed Access | Times Cited: 10
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
Alessio Bottrighi, Marzio Pennisi
Information (2023) Vol. 14, Iss. 9, pp. 513-513
Open Access | Times Cited: 3
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of Italian Research Community
Alessio Bottrighi, Marzio Pennisi
(2023)
Open Access | Times Cited: 3
Tau deposition and structural connectivity demonstrate differential association patterns with neurocognitive tests
Zack Hall, Billy Chien, Yi Zhao, et al.
Brain Imaging and Behavior (2021) Vol. 16, Iss. 2, pp. 702-714
Open Access | Times Cited: 6
Towards an early diagnosis of Alzheimer disease: a precise and parallel image segmentation approach via derived hybrid cross entropy thresholding method
Soha Rawas, Ali El‐Zaart
Multimedia Tools and Applications (2022) Vol. 81, Iss. 9, pp. 12619-12642
Closed Access | Times Cited: 4
Communicability distance reveals hidden patterns of Alzheimer disease
Eufemia Lella, Ernesto Estrada
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 5
Design of Intelligent Alzheimer Disease Diagnosis Model on CIoT Environment
Anwer Mustafa Hilal, Fahd N. Al‐Wesabi, Mohamed Tahar Ben Othman, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 71, Iss. 3, pp. 5979-5994
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top