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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.

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Showing 20 citing articles:

Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends
J. M. Górriz, I. Álvarez, Agustín Álvarez-Marquina, et al.
Information Fusion (2023) Vol. 100, pp. 101945-101945
Open Access | Times Cited: 99
A Meta-Heuristic Multi-Objective Optimization Method for Alzheimer’s Disease Detection Based on Multi-Modal Data
Walaa N. Ismail, Fathimathul Rajeena P. P., Mona A. S. Ali
Mathematics (2023) Vol. 11, Iss. 4, pp. 957-957
Open Access | Times Cited: 29
Increased functional connectivity patterns in mild Alzheimer’s disease: A rsfMRI study
Lucía Penalba‐Sánchez, Patrícia Oliveira‐Silva, Alexander Sumich, et al.
Frontiers in Aging Neuroscience (2023) Vol. 14
Open Access | Times Cited: 23
Comparison of the diagnostic accuracy of resting-state fMRI driven machine learning algorithms in the detection of mild cognitive impairment
Gergo Bolla, Dalida Borbála Berente, Anita Andrássy, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Atrophy of the cholinergic regions advances from early to late mild cognitive impairment
Ying-Liang Larry Lai, Fei‐Ting Hsu, Shu-Yi Yeh, et al.
Neuroradiology (2024) Vol. 66, Iss. 4, pp. 543-556
Closed Access | Times Cited: 2
Multivariate pattern analysis of medical imaging-based Alzheimer's disease
Maitha Alarjani, Badar Almarri
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 2
Functional Brain Network Measures for Alzheimer’s Disease Classification
Luyun Wang, Jinhua Sheng, Qiao Zhang, et al.
IEEE Access (2023) Vol. 11, pp. 111832-111845
Open Access | Times Cited: 5
Diagnosis of early mild cognitive impairment using a multiobjective optimization algorithm based on T1-MRI data
Jafar Zamani, Ali Sadr, Amir‐Homayoun Javadi
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 8
Alteration in amygdala subfield volumes and their association with cognition in mild cognitive impairment
Sadhana Singh, Palash Kumar Malo, Albert Stezin, et al.
Journal of Neurology (2024) Vol. 271, Iss. 8, pp. 5460-5467
Closed Access | Times Cited: 1
fMRI-based Alzheimer’s disease detection via functional connectivity analysis: a systematic review
Maitha Alarjani, Badar Almarri
PeerJ Computer Science (2024) Vol. 10, pp. e2302-e2302
Open Access | Times Cited: 1
TSP-GNN: a novel neuropsychiatric disorder classification framework based on task-specific prior knowledge and graph neural network
Jinwei Lang, Lizhuang Yang, Hai Li
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 2
Convolutional Neural Networks for Early Detection and Classification of Alzheimer's disease from MRI Images
Pranoti Mane
Deleted Journal (2024) Vol. 20, Iss. 3s, pp. 654-662
Open Access
Application of Convolutional Neural Networks for Early Detection and Classification of Alzheimer's disease from MRI Images
Suman Kumar Swarnkar
Deleted Journal (2024) Vol. 20, Iss. 3s, pp. 645-653
Open Access
Predicting the Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Graph Frequency Bands and Functional Connectivity-Based Features
Jafar Zamani, Alireza Talesh Jafadideh
Research Square (Research Square) (2024)
Open Access
Resting-State fMRI and Machine Learning as Diagnostic Tools for Alzheimer's Disease
Sajjad Iraji, Fateme Darvishzadeh Mahani, Hojjat M Dikdaragh, et al.
Annals of Military and Health Sciences Research (2024) Vol. 22, Iss. 2
Open Access
Exploring cortical morphology biomarkers of amnesic mild cognitive impairment using novel fractal dimension‐based structural MRI analysis
Chi‐Wen Jao, Yu‐Te Wu, Jiann‐Horng Yeh, et al.
European Journal of Neuroscience (2024)
Open Access
Hierarchical graph learning with convolutional network for brain disease prediction
Tong Liu, Fangqi Liu, Yingying Wan, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 46161-46179
Open Access | Times Cited: 1
Subject classification and cross-time prediction based on functional connectivity and white matter microstructure features in a rat model of Alzheimer’s using machine learning
Yujian Diao, Bernard Lanz, Ileana Jelescu
Alzheimer s Research & Therapy (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Early Diagnosis of Mild Cognitive Impairment Using Deep Neural Network with Single and Multi-input Analysis
Pouneh Abbasian, Hanif Zargarnezhad, Tracy Hammond
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2023), pp. 301-310
Closed Access | Times Cited: 1
Subject classification and cross-time prediction based on functional connectivity and white matter microstructure features in a rat model of Alzheimer’s using machine learning
Yujian Diao, Ileana Jelescu
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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