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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:

Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Diagnostics (2021) Vol. 11, Iss. 6, pp. 1071-1071
Open Access | Times Cited: 176

Showing 1-25 of 176 citing articles:

Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare
Pandiaraj Manickam, Siva Ananth Mariappan, Sindhu Monica Murugesan, et al.
Biosensors (2022) Vol. 12, Iss. 8, pp. 562-562
Open Access | Times Cited: 344
Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion
Kiran Jabeen, Muhammad Attique Khan, Majed Alhaisoni, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 807-807
Open Access | Times Cited: 197
An Intelligent System for Early Recognition of Alzheimer’s Disease Using Neuroimaging
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius
Sensors (2022) Vol. 22, Iss. 3, pp. 740-740
Open Access | Times Cited: 97
Machine Learning for Dementia Prediction: A Systematic Review and Future Research Directions
Ashir Javeed, Ana Luiza Dallora, Johan Berglund, et al.
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Open Access | Times Cited: 83
A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier
Javeria Amin, Muhammad Almas Anjum, Muhammad Sharif, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 73
Early diagnosis of Alzheimer's disease based on deep learning: A systematic review
Sina Fathi, Maryam Ahmadi, Afsaneh Dehnad
Computers in Biology and Medicine (2022) Vol. 146, pp. 105634-105634
Closed Access | Times Cited: 69
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review
Zhen Zhao, Joon Huang Chuah, Khin Wee Lai, et al.
Frontiers in Computational Neuroscience (2023) Vol. 17
Open Access | Times Cited: 62
fMRI-Based Alzheimer’s Disease Detection Using the SAS Method with Multi-Layer Perceptron Network
C. Aarthi, Dayanand Lal Narayan, B D Parameshachari, et al.
Brain Sciences (2023) Vol. 13, Iss. 6, pp. 893-893
Open Access | Times Cited: 44
Explainable Deep-Learning-Based Diagnosis of Alzheimer’s Disease Using Multimodal Input Fusion of PET and MRI Images
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Journal of Medical and Biological Engineering (2023) Vol. 43, Iss. 3, pp. 291-302
Open Access | Times Cited: 41
Machine and deep learning approaches for alzheimer disease detection using magnetic resonance images: An updated review
M. Menagadevi, Somasundaram Devaraj, Nirmala Madian, et al.
Measurement (2024) Vol. 226, pp. 114100-114100
Closed Access | Times Cited: 15
Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning
Abdulaziz Alorf, Muhammad Usman Ghani Khan
Computers in Biology and Medicine (2022) Vol. 151, pp. 106240-106240
Closed Access | Times Cited: 65
Brain Tumor Detection and Classification on MR Images by a Deep Wavelet Auto-Encoder Model
Isselmou Abd El Kader, Guizhi Xu, Shuai Zhang, et al.
Diagnostics (2021) Vol. 11, Iss. 9, pp. 1589-1589
Open Access | Times Cited: 61
Current Understanding of the Physiopathology, Diagnosis and Therapeutic Approach to Alzheimer’s Disease
Victoria García‐Morales, Anabel González‐Acedo, Lucia Melguizo‐Rodríguez, et al.
Biomedicines (2021) Vol. 9, Iss. 12, pp. 1910-1910
Open Access | Times Cited: 57
Early prediction of Alzheimer's disease using convolutional neural network: a review
Vijeeta Patil, Manohar Madgi, Ajmeera Kiran
The Egyptian Journal of Neurology Psychiatry and Neurosurgery (2022) Vol. 58, Iss. 1
Open Access | Times Cited: 57
Local Pattern Transformation Based Feature Extraction for Recognition of Parkinson’s Disease Based on Gait Signals
S. Jeba Priya, P. Arockia Jansi Rani, M. S. P. Subathra, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1395-1395
Open Access | Times Cited: 56
A Novel Data Augmentation Convolutional Neural Network for Detecting Malaria Parasite in Blood Smear Images
David Opeoluwa Oyewola, Emmanuel Gbenga Dada, Sanjay Misra, et al.
Applied Artificial Intelligence (2022) Vol. 36, Iss. 1
Open Access | Times Cited: 55
Deep learning for neurodegenerative disorder (2016 to 2022): A systematic review
Jyotismita Chaki, Marcin Woźniak
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104223-104223
Closed Access | Times Cited: 51
Traditional machine learning algorithms for breast cancer image classification with optimized deep features
Furkan Atban, Ekin Ekıncı, Zeynep Garip
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104534-104534
Closed Access | Times Cited: 51
Current trends in blood biomarker detection and imaging for Alzheimer’s disease
Shun Hu, Changwen Yang, Haiming Luo
Biosensors and Bioelectronics (2022) Vol. 210, pp. 114278-114278
Closed Access | Times Cited: 48
Early-Stage Alzheimer’s Disease Categorization Using PET Neuroimaging Modality and Convolutional Neural Networks in the 2D and 3D Domains
Ahsan Bin Tufail, Nazish Anwar, Mohamed Tahar Ben Othman, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4609-4609
Open Access | Times Cited: 42
ADD-Net: An Effective Deep Learning Model for Early Detection of Alzheimer Disease in MRI Scans
Mian Muhammad Sadiq Fareed, Shahid Zikria, Gulnaz Ahmed, et al.
IEEE Access (2022) Vol. 10, pp. 96930-96951
Open Access | Times Cited: 37
Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia
Elizabeth Ford, Richard Milne, Keegan Curlewis
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 3
Open Access | Times Cited: 26
Should artificial intelligence be used in conjunction with Neuroimaging in the diagnosis of Alzheimer’s disease?
Sophia Mirkin, Benedict C. Albensi
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 25
Predicting Alzheimer’s Disease Using Deep Neuro-Functional Networks with Resting-State fMRI
S. Sambath Kumar, Nandhini Malaiyappan, Rajakumar Ramalingam, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 1031-1031
Open Access | Times Cited: 24
Automatic Analysis of MRI Images for Early Prediction of Alzheimer’s Disease Stages Based on Hybrid Features of CNN and Handcrafted Features
Khalid Ahmed, Ebrahim Mohammed Senan, Khalil AL-Wagih, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1654-1654
Open Access | Times Cited: 24
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