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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:

Extraction of sulcal medial surface and classification of Alzheimer's disease using sulcal features
Maciej Plocharski, Lasse Riis Østergaard
Computer Methods and Programs in Biomedicine (2016) Vol. 133, pp. 35-44
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Machine Learning Techniques for the Diagnosis of Alzheimer’s Disease
M. Tanveer, Bharat Richhariya, Riyaj Uddin Khan, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2020) Vol. 16, Iss. 1s, pp. 1-35
Closed Access | Times Cited: 255
Transfer Learning Assisted Classification and Detection of Alzheimer’s Disease Stages Using 3D MRI Scans
Muazzam Maqsood, Faria Nazir, Umair Khan, et al.
Sensors (2019) Vol. 19, Iss. 11, pp. 2645-2645
Open Access | Times Cited: 179
Multi-class Alzheimer's disease classification using image and clinical features
Tooba Altaf, Syed Muhammad Anwar, Nadia Gul, et al.
Biomedical Signal Processing and Control (2018) Vol. 43, pp. 64-74
Closed Access | Times Cited: 146
A deep feature-based real-time system for Alzheimer disease stage detection
Hina Nawaz, Muazzam Maqsood, Sitara Afzal, et al.
Multimedia Tools and Applications (2020) Vol. 80, Iss. 28-29, pp. 35789-35807
Closed Access | Times Cited: 113
Brain Shape Changes Associated With Cerebral Atrophy in Healthy Aging and Alzheimer’s Disease
Yana Blinkouskaya, Johannes Weickenmeier
Frontiers in Mechanical Engineering (2021) Vol. 7
Open Access | Times Cited: 56
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
Multi-relation graph convolutional network for Alzheimer’s disease diagnosis using structural MRI
Jin Zhang, Xiaohai He, Linbo Qing, et al.
Knowledge-Based Systems (2023) Vol. 270, pp. 110546-110546
Closed Access | Times Cited: 18
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
Robust estimation of sulcal morphology
Christopher R. Madan
Brain Informatics (2019) Vol. 6, Iss. 1
Open Access | Times Cited: 54
A Survey on Classification Algorithms of Brain Images in Alzheimer’s Disease Based on Feature Extraction Techniques
Ruhul Amin Hazarika, Arnab Kumar Maji, Samarendra Nath Sur, et al.
IEEE Access (2021) Vol. 9, pp. 58503-58536
Open Access | Times Cited: 35
Multimodal fusion diagnosis of the Alzheimer’s disease via lightweight CNN-LSTM model using magnetic resonance imaging (MRI)
Ejaz Ul Haq, Yong Qin, Yuan Zhou, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107545-107545
Closed Access
A novel method and software for automatically classifying Alzheimer’s disease patients by magnetic resonance imaging analysis
Fabio Previtali, Paola Bertolazzi, Giovanni Felici, et al.
Computer Methods and Programs in Biomedicine (2017) Vol. 143, pp. 89-95
Closed Access | Times Cited: 46
Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis
C. Jiménez-Mesa, Javier Ramı́rez, Zhenghui Yi, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 5
Open Access | Times Cited: 3
Parieto-occipital sulcus widening differentiates posterior cortical atrophy from typical Alzheimer disease
Giorgio Fumagalli, Paola Basilico, Andrea Arighi, et al.
NeuroImage Clinical (2020) Vol. 28, pp. 102453-102453
Open Access | Times Cited: 22
PPAD: a deep learning architecture to predict progression of Alzheimer’s disease
Mohammad Al Olaimat, Jared Martinez, Fahad Saeed, et al.
Bioinformatics (2023) Vol. 39, Iss. Supplement_1, pp. i149-i157
Open Access | Times Cited: 7
Depth- and curvature-based quantitative susceptibility mapping analyses of cortical iron in Alzheimer’s disease
Jenna L. Merenstein, Jiayi Zhao, Devon Overson, et al.
Cerebral Cortex (2023) Vol. 34, Iss. 2
Closed Access | Times Cited: 6
Internet of Medical Things–based decision system for automated classification of Alzheimer’s using three-dimensional views of magnetic resonance imaging scans
Umair Khan, Armughan Ali, Salabat Khan, et al.
International Journal of Distributed Sensor Networks (2019) Vol. 15, Iss. 3, pp. 155014771983118-155014771983118
Open Access | Times Cited: 17
Characterization of Alzheimer conditions in MR images using volumetric and sagittal brainstem texture features
P. Rohini, S. Sundar, Ramakrishnan Swaminathan
Computer Methods and Programs in Biomedicine (2019) Vol. 173, pp. 147-155
Closed Access | Times Cited: 12
MCI Conversion Prediction Using 3D Zernike Moments and the Improved Dynamic Particle Swarm Optimization Algorithm
Pouya Bolourchi, Mohammadreza Gholami, Masoud Moradi, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4489-4489
Open Access | Times Cited: 4
A machine learning-based data-driven approach to Alzheimer’s disease diagnosis using statistical and harmony search methods
Pouya Bolourchi, Mohammadreza Gholami
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 3, pp. 6299-6312
Closed Access | Times Cited: 1
Longitudinal mapping of cortical surface changes in Huntington’s Disease
Brendan Tan, Rosita Shishegar, Alex Fornito, et al.
Brain Imaging and Behavior (2022) Vol. 16, Iss. 3, pp. 1381-1391
Closed Access | Times Cited: 7
A Segmentation-Less Efficient Alzheimer Detection Approach Using Hybrid Image Features
Sitara Afzal, Mubashir Javed, Muazzam Maqsood, et al.
Springer eBooks (2019), pp. 421-429
Closed Access | Times Cited: 10
Cortical morphometry and neural dysfunction in Huntington’s disease: a review
Brendan Tan, Rosita Shishegar, Govinda Poudel, et al.
European Journal of Neurology (2020) Vol. 28, Iss. 4, pp. 1406-1419
Closed Access | Times Cited: 9
Class imbalance learning–driven Alzheimer’s detection using hybrid features
Ran Baik
International Journal of Distributed Sensor Networks (2019) Vol. 15, Iss. 2, pp. 155014771982604-155014771982604
Open Access | Times Cited: 8
An MRI Study of Morphology, Asymmetry, and Sex Differences of Inferior Precentral Sulcus
Xinran Zhao, Yu Wang, Xiaokang Wu, et al.
Brain Topography (2024) Vol. 37, Iss. 5, pp. 748-763
Open Access
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