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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:

A new strategy for the early detection of alzheimer disease stages using multifractal geometry analysis based on K-Nearest Neighbor algorithm
Yasmina M. Elgammal, M. A. Zahran, Mohamed M. Abdelsalam
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Application of machine learning in measurement of ageing and geriatric diseases: a systematic review
A. Das, Preeti Dhillon
BMC Geriatrics (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 11
Evolution of lipid nanoparticles as charioteers of Alzheimer's disease therapeutics
Brati Chakraborty, Gayatri Patel, Bandana Padhan, et al.
Applied Materials Today (2024) Vol. 41, pp. 102442-102442
Closed Access | Times Cited: 4
The application of brain–computer interface in Alzheimer’s disease studies based on machine learning algorithms
Helia Givian
Elsevier eBooks (2025), pp. 121-143
Closed Access
Electrochemical biosensors for early detection of Alzheimer’s disease
Sanoeva Matlyuba Jakhonkulovna, Gulnoz Bahodirova Kamolovna, Muzaffar Zokirov, et al.
Clinica Chimica Acta (2025), pp. 120278-120278
Closed Access
Improved Alzheimer Disease Diagnosis With a Machine Learning Approach and Neuroimaging: Case Study Development
Lilia Lazli
JMIRx Med (2025) Vol. 6, pp. e60866-e60866
Open Access
Machine-learning classification with additivity and diverse multifractal pathways in multiplicativity
Madhur Mangalam, Henrik Seckler, Damian G. Kelty‐Stephen
Physical Review Research (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 3
Prediction of 30-day in-hospital mortality in older UGIB patients using a simplified risk score and comparison with AIMS65 score
Zaiyao Xue, Hebin Che, Deyou Xie, et al.
BMC Geriatrics (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Patch-Based Siamese 3D Convolutional Neural Network for Early Alzheimer's Disease Using Multi-Modal Approach
Rashmi Kumari, Subhranil Das, Akriti Nigam, et al.
IETE Journal of Research (2023) Vol. 70, Iss. 4, pp. 3804-3822
Closed Access | Times Cited: 6
Alzheimer’s disease: new insight in assessing of amyloid plaques morphologies using multifractal geometry based on Naive Bayes optimized by random forest algorithm
E. Amin, Yasmina M. Elgammal, M. A. Zahran, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
A multi‐omics study to monitor senescence‐associated secretory phenotypes of Alzheimer's disease
Jingzhi Yang, Yinge Zhou, Tianjiao Wang, et al.
Annals of Clinical and Translational Neurology (2024) Vol. 11, Iss. 5, pp. 1310-1324
Open Access | Times Cited: 1
HHO optimized support vector machine classifier for traditional Chinese medicine syndrome differentiation of diabetic retinopathy
Li Xiao, Ying Deng, Yijing Yang, et al.
International Journal of Ophthalmology (2024) Vol. 17, Iss. 6, pp. 991-1000
Open Access | Times Cited: 1
Future perspectives on the clinics of Alzheimer's disease
Pradeep Kumar Mishra, Krishna Kumar Singh, Shampa Ghosh, et al.
Elsevier eBooks (2024), pp. 217-232
Closed Access | Times Cited: 1
Identification of mild cognitive impairment using multimodal 3D imaging data and graph convolutional networks
Shengbin Liang, Tingting Chen, Jinfeng Ma, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 23, pp. 235002-235002
Closed Access | Times Cited: 1
A novel dynamic adaptive ensemble learning framework enhanced by harmony search optimization for mild cognitive impairment detection (Preprint)
Aoyu Li, Jingwen Li, Yishan Hu, et al.
JMIR Medical Informatics (2024) Vol. 13, pp. e60250-e60250
Open Access | Times Cited: 1
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
Early Detection of Alzheimer's disease by using the Latest Techniques
Shmmon Ahmad, Moh Aijaz, Mumtaz Ahmad, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 2
Differing patterns of cortical grey matter pathology identified by multifractal analysis in UMN-predominant ALS patients with and without corticospinal tract hyperintensity
Venkateswaran Rajagopalan, Erik P. Pioro
Journal of the Neurological Sciences (2024) Vol. 459, pp. 122945-122945
Open Access
Multifractal characterization of nystagmus eye movements
Marcos M. Meo, Irene Sánchez, Cristina D. Duarte, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 4
Closed Access
A Siamese network optimization using genetic algorithm for brain diseases
Amal Saif, Rawan Ghnemat, Qasem Abu Al‐Haija
IET Image Processing (2024) Vol. 18, Iss. 12, pp. 3231-3240
Open Access
C.elegans coding and non-coding zones classification using multifractal features and support vector machine
Nadia Selmi, Zeineb Chebbi Babchia, Afef Elloumi Oueslati
(2024), pp. 371-375
Closed Access
The effects of machine learning algorithms in magnetic resonance imaging (MRI), and biomarkers on early detection of Alzheimer's disease
Shinali Shah, Manan Shah
Advances in Biomarker Sciences and Technology (2024) Vol. 6, pp. 191-208
Open Access
Machine Learning driven by MRI for the classification of Alzheimer's disease progression: systematic review and meta-analysis (Preprint)
Gopi Battineni, Nalini Chintalapudi, Francesco Amenta
(2024)
Closed Access
Comparing the Artificial Intelligence Detection Models to Standard Diagnostic Methods and Alternative Models in Identifying Alzheimer’s Disease in At-Risk or Early Symptomatic Individuals: A Scoping Review
B. Surendra Babu, Gauri Parvathy, Fathima S Mohideen Bawa, et al.
Cureus (2024)
Open Access
Risk prediction of integrated traditional Chinese and western medicine for diabetes retinopathy based on optimized gradient boosting classifier model
Li Xiao, Lixuan Tang, Wenxuan Kuang, et al.
Medicine (2024) Vol. 103, Iss. 51, pp. e40896-e40896
Open Access
Machine Learning Driven by Magnetic Resonance Imaging for the Classification of Alzheimer Disease Progression: Systematic Review and Meta-Analysis
Gopi Battineni, Nalini Chintalapudi, Francesco Amenta
JMIR Aging (2024) Vol. 7, pp. e59370-e59370
Open Access
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