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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:

Classification and Visualization of Alzheimer’s Disease using Volumetric Convolutional Neural Network and Transfer Learning
Kanghan Oh, Young‐Chul Chung, Ko Woon Kim, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 269

Showing 1-25 of 269 citing articles:

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Yogesh Kumar, Apeksha Koul, Ruchi Singla, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 8459-8486
Open Access | Times Cited: 606
3D Deep Learning on Medical Images: A Review
Satya P. Singh, Lipo Wang, Sukrit Gupta, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5097-5097
Open Access | Times Cited: 437
A Transfer Learning Approach for Early Diagnosis of Alzheimer’s Disease on MRI Images
Atif Mehmood, Shuyuan Yang, Zhixi Feng, et al.
Neuroscience (2021) Vol. 460, pp. 43-52
Open Access | Times Cited: 215
Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review
Sergio Grueso, Raquel Viejo-Sobera
Alzheimer s Research & Therapy (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 178
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
Anees Abrol, Zening Fu, Mustafa S. Salman, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 160
Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances
Protima Khan, Md. Fazlul Kader, S. M. Riazul Islam, et al.
IEEE Access (2021) Vol. 9, pp. 37622-37655
Open Access | Times Cited: 158
Deep Learning for Smart Healthcare—A Survey on Brain Tumor Detection from Medical Imaging
Mahsa Arabahmadi, Reza Farahbakhsh, Javad Rezazadeh
Sensors (2022) Vol. 22, Iss. 5, pp. 1960-1960
Open Access | Times Cited: 144
Deep learning for Alzheimer's disease diagnosis: A survey
M. Khojaste-Sarakhsi, Seyedhamidreza Shahabi Haghighi, S.M.T. Fatemi Ghomi, et al.
Artificial Intelligence in Medicine (2022) Vol. 130, pp. 102332-102332
Closed Access | Times Cited: 99
Artificial intelligence in brain MRI analysis of Alzheimer’s disease over the past 12 years: A systematic review
Tory O. Frizzell, Margit Glashutter, Careesa C. Liu, et al.
Ageing Research Reviews (2022) Vol. 77, pp. 101614-101614
Closed Access | Times Cited: 84
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions
Renjie Li, Xinyi Wang, Katherine Lawler, et al.
Journal of Biomedical Informatics (2022) Vol. 127, pp. 104030-104030
Open Access | Times Cited: 80
VGG-TSwinformer: Transformer-based deep learning model for early Alzheimer’s disease prediction
Zhentao Hu, Zheng Wang, Yong Jin, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 229, pp. 107291-107291
Closed Access | Times Cited: 80
Deep Learning-Based Diagnosis of Alzheimer’s Disease
Tausifa Jan Saleem, Syed Rameem Zahra, Fan Wu, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 5, pp. 815-815
Open Access | Times Cited: 78
Applications of generative adversarial networks in neuroimaging and clinical neuroscience
Rongguang Wang, Vishnu Bashyam, Zhijian Yang, et al.
NeuroImage (2023) Vol. 269, pp. 119898-119898
Open Access | Times Cited: 53
A Transfer Learning Approach: Early Prediction of Alzheimer’s Disease on US Healthy Aging Dataset
C. Kishor Kumar Reddy, Aarti Rangarajan, Deepti Rangarajan, et al.
Mathematics (2024) Vol. 12, Iss. 14, pp. 2204-2204
Open Access | Times Cited: 15
Robust hybrid deep learning models for Alzheimer’s progression detection
Tamer Abuhmed, Shaker El–Sappagh, José M. Alonso
Knowledge-Based Systems (2020) Vol. 213, pp. 106688-106688
Open Access | Times Cited: 101
Alzheimer’s disease classification using pre-trained deep networks
Jayanthi Venkatraman Shanmugam, Baskar Duraisamy, Blessy C Simon, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103217-103217
Closed Access | Times Cited: 97
Detection of Parkinson’s Disease from 3T T1 Weighted MRI Scans Using 3D Convolutional Neural Network
Sabyasachi Chakraborty, Satyabrata Aich, Hee‐Cheol Kim
Diagnostics (2020) Vol. 10, Iss. 6, pp. 402-402
Open Access | Times Cited: 96
Detection of Mild Cognitive Impairment Using Convolutional Neural Network: Temporal-Feature Maps of Functional Near-Infrared Spectroscopy
Dalin Yang, Ruisen Huang, So-Hyeon Yoo, et al.
Frontiers in Aging Neuroscience (2020) Vol. 12
Open Access | Times Cited: 79
Volumetric Feature-Based Alzheimer’s Disease Diagnosis From sMRI Data Using a Convolutional Neural Network and a Deep Neural Network
Abol Basher, Byeong C. Kim, Kun Ho Lee, et al.
IEEE Access (2021) Vol. 9, pp. 29870-29882
Open Access | Times Cited: 78
Evaluation of Hyperparameter Optimization in Machine and Deep Learning Methods for Decoding Imagined Speech EEG
Ciaran Cooney, Attila Korik, Raffaella Folli, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4629-4629
Open Access | Times Cited: 76
Application of Artificial Intelligence techniques for the detection of Alzheimer’s disease using structural MRI images
Xinxing Zhao, Candice Ke En Ang, U. Rajendra Acharya, et al.
Journal of Applied Biomedicine (2021) Vol. 41, Iss. 2, pp. 456-473
Closed Access | Times Cited: 64
Diagnostic Classification and Biomarker Identification of Alzheimer’s Disease with Random Forest Algorithm
Minseok Song, Hyeyoom Jung, Seungyong Lee, et al.
Brain Sciences (2021) Vol. 11, Iss. 4, pp. 453-453
Open Access | Times Cited: 57
An experimental analysis of different Deep Learning based Models for Alzheimer’s Disease classification using Brain Magnetic Resonance Images
Ruhul Amin Hazarika, Debdatta Kandar, Arnab Kumar Maji
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 10, pp. 8576-8598
Open Access | Times Cited: 57
Transfer Learning for Alzheimer’s Disease through Neuroimaging Biomarkers: A Systematic Review
Deevyankar Agarwal, Gonçalo Marques, Isabel de la Torre Díez, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7259-7259
Open Access | Times Cited: 57
Deep Learning-Based Classification and Voxel-Based Visualization of Frontotemporal Dementia and Alzheimer’s Disease
Jingjing Hu, Qing Zhao, Renyuan Liu, et al.
Frontiers in Neuroscience (2021) Vol. 14
Open Access | Times Cited: 56
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