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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:

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

Showing 1-25 of 32 citing articles:

Abnormal white matter changes in Alzheimer's disease based on diffusion tensor imaging: A systematic review
Yu Chen, Yifei Wang, Zeyu Song, et al.
Ageing Research Reviews (2023) Vol. 87, pp. 101911-101911
Closed Access | Times Cited: 51
Automated detection of Alzheimer’s disease: a multi-modal approach with 3D MRI and amyloid PET
Giovanna Castellano, Andrea Esposito, Eufemia Lella, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 12
DDEvENet: Evidence-based ensemble learning for uncertainty-aware brain parcellation using diffusion MRI
C. H. Li, Dian Yang, Shun Yao, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 120, pp. 102489-102489
Closed Access | Times Cited: 1
A review on Alzheimer’s disease classification from normal controls and mild cognitive impairment using structural MR images
Neha Garg, Mahipal Singh Choudhry, Rajesh M. Bodade
Journal of Neuroscience Methods (2022) Vol. 384, pp. 109745-109745
Closed Access | Times Cited: 35
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
Alzheimer’s Disease Detection from Fused PET and MRI Modalities Using an Ensemble Classifier
Amar Shukla, Rajeev Tiwari, Shamik Tiwari
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 512-538
Open Access | Times Cited: 17
Classification Study of Alzheimer’s Disease Based on Self-Attention Mechanism and DTI Imaging Using GCN
Y Sang, Wan Li
IEEE Access (2024) Vol. 12, pp. 24387-24395
Open Access | Times Cited: 5
DML-MFCM: A multimodal fine-grained classification model based on deep metric learning for Alzheimer's disease diagnosis
Heng Wang, Tiejun Yang, Jiacheng Fan, et al.
Journal of X-Ray Science and Technology (2025)
Closed Access
Classification of Early Moderate Cognitive Impairment Using Support Vector Machine Based LeNet Classifier
A. S. Shanthi, Biji Rose, Prashant Bachanna, et al.
Journal of Electrical Engineering and Technology (2025)
Closed Access
MORIX: Machine learning-aided framework for lethality detection and MORtality inference with eXplainable artificial intelligence in MAFLD subjects
Domenico Lofù, Paolo Sorino, Tommaso Colafiglio, et al.
Computer Methods and Programs in Biomedicine Update (2025), pp. 100176-100176
Open Access
Towards a Neurofeedback Tool For Emotion Recognition Using Brain Computer Interface
Carmelo Ardito, Tommaso Colafiglio, Tommaso Di Noia, et al.
Communications in computer and information science (2025), pp. 89-98
Closed Access
Integrating eXplainable AI in Healthcare: A Web Application Framework for Advancing the One Health Paradigm
Danilo Danese, Tommaso Di Noia, Angela Lombardi, et al.
Communications in computer and information science (2025), pp. 77-88
Closed Access
Multimodal magnetic resonance imaging for Alzheimer's disease diagnosis using hybrid features extraction and ensemble support vector machines
Latifa Houria, Noureddine Belkhamsa, Assia Cherfa, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 2, pp. 610-621
Closed Access | Times Cited: 17
Introducing the Monitoring Equipment Mask Environment
Andrea Pazienza, Daniele Monte
Sensors (2022) Vol. 22, Iss. 17, pp. 6365-6365
Open Access | Times Cited: 16
Single and Combined Neuroimaging Techniques for Alzheimer’s Disease Detection
Morteza Amini, Mir Mohsen Pedram, Alireza Moradi, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 19
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
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition
Carmelo Ardito, Ilaria Bortone, Tommaso Colafiglio, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2022), pp. 2689-2694
Open Access | Times Cited: 12
A connectome-based deep learning approach for Early MCI and MCI detection using structural brain networks
Shayan Kolahkaj, Hoda Zare
Neuroscience Informatics (2023) Vol. 3, Iss. 1, pp. 100118-100118
Open Access | Times Cited: 6
A Situation Awareness Computational Intelligent Model for Metabolic Syndrome Management
Domenico Lofù, Andrea Pazienza, Carmelo Ardito, et al.
(2022), pp. 118-124
Closed Access | Times Cited: 9
Combining Biomechanical Features and Machine Learning Approaches to Identify Fencers’ Levels for Training Support
Simona Aresta, Ilaria Bortone, Francesco Bottiglione, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12350-12350
Open Access | Times Cited: 8
Ensemble Learning-based Alzheimer’s Disease Diagnosis Using Magnetic Resonance Imaging
Hazim AlRawashdeh, Aminu Bello Usman, Ashit Kumar Dutta, et al.
Deleted Journal (2024) Vol. 3, Iss. 6
Closed Access | Times Cited: 1
Improving the Robustness of DNNs-based Network Intrusion Detection Systems through Adversarial Training
Eufemia Lella, Nicola Macchiarulo, Andrea Pazienza, et al.
2022 7th International Conference on Smart and Sustainable Technologies (SpliTech) (2023), pp. 1-6
Closed Access | Times Cited: 2
Detection of Dementia Through 3D Convolutional Neural Networks Based on Amyloid PET
Giovanna Castellano, Andrea Esposito, Marco Mirizio, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2021), pp. 1-6
Closed Access | Times Cited: 4
Multi-scale 3D-CNN for Alzheimer's Disease Classification
Hang Yan, Kunlun Fang, Hao Shang, et al.
2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2023), pp. 1-5
Closed Access | Times Cited: 1
Novel Computer-Aided Diagnosis System for the Early Detection of Alzheimer’s Disease
Meshal Alharbi, Shabana R. Ziyad
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 3, pp. 5483-5505
Open Access | Times Cited: 2
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