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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:

Brain MRI analysis using a deep learning based evolutionary approach
Hossein Shahamat, Mohammad Saniee Abadeh
Neural Networks (2020) Vol. 126, pp. 218-234
Closed Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden, Hugo J. Kuijf, Kenneth G. A. Gilhuijs, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102470-102470
Open Access | Times Cited: 654
Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review
Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104949-104949
Closed Access | Times Cited: 218
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects
Shuihua Wang‎, M. Emre Celebi, Yudong Zhang, et al.
Information Fusion (2021) Vol. 76, pp. 376-421
Open Access | Times Cited: 185
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review
Haomin Chen, Catalina Gómez, Chien‐Ming Huang, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 122
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, et al.
Frontiers in Molecular Neuroscience (2022) Vol. 15
Open Access | Times Cited: 78
Early diagnosis of Alzheimer’s disease using machine learning: a multi-diagnostic, generalizable approach
Vasco Diogo, Hugo Alexandre Ferreira, Diana Prata
Alzheimer s Research & Therapy (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 75
Diagnostic of autism spectrum disorder based on structural brain MRI images using, grid search optimization, and convolutional neural networks
H. Selçuk Noğay, Hojjat Adeli
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104234-104234
Closed Access | Times Cited: 74
Pre-trained deep learning models for brain MRI image classification
Srigiri Krishnapriya, Yepuganti Karuna
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 46
An evolutionary explainable deep learning approach for Alzheimer's MRI classification
Shakila Shojaei, Mohammad Saniee Abadeh, Zahra Momeni
Expert Systems with Applications (2023) Vol. 220, pp. 119709-119709
Closed Access | Times Cited: 44
Internet of things-enabled real-time health monitoring system using deep learning
Xingdong Wu, Chao Liu, Lijun Wang, et al.
Neural Computing and Applications (2021) Vol. 35, Iss. 20, pp. 14565-14576
Open Access | Times Cited: 77
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: 58
Improving brain tumor classification performance with an effective approach based on new deep learning model named 3ACL from 3D MRI data
Fatih Demir, Yaman Akbulut, Burak Taşçı, et al.
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104424-104424
Closed Access | Times Cited: 52
Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging
Reem Ahmed Bahathiq, Haneen Banjar, Ahmed K. Bamaga, et al.
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 38
Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review
Bart M. de Vries, Gerben J. C. Zwezerijnen, George L. Burchell, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 36
A classification framework for Autism Spectrum Disorder detection using sMRI: Optimizer based ensemble of deep convolution neural network with on-the-fly data augmentation
Mayank Mishra, Umesh Chandra Pati
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104686-104686
Closed Access | Times Cited: 35
Medical images classification using deep learning: a survey
Rakesh Kumar, Pooja Kumbharkar, Sandeep Vanam, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 19683-19728
Closed Access | Times Cited: 27
Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging
Jinzhao Qian, Hailong Li, Junqi Wang, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1571-1571
Open Access | Times Cited: 25
Yaru3DFPN: a lightweight modified 3D UNet with feature pyramid network and combine thresholding for brain tumor segmentation
Agus Subhan Akbar, Chastine Fatichah, Nanik Suciati, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 13, pp. 7529-7544
Closed Access | Times Cited: 10
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 10
Autism spectrum disorder diagnosis using graph attention network based on spatial-constrained sparse functional brain networks
Chunde Yang, Panyu Wang, Jia Huei Tan, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104963-104963
Closed Access | Times Cited: 53
Design of deep ensemble classifier with fuzzy decision method for biomedical image classification
Abhishek Das, Saumendra Kumar Mohapatra, Mihir Narayan Mohanty
Applied Soft Computing (2021) Vol. 115, pp. 108178-108178
Closed Access | Times Cited: 52
Brain MRI in Autism Spectrum Disorder: Narrative Review and Recent Advances
Faranak Rafiee, Roya Rezvani Habibabadi, Mina Motaghi, et al.
Journal of Magnetic Resonance Imaging (2021) Vol. 55, Iss. 6, pp. 1613-1624
Closed Access | Times Cited: 45
Brain imaging-based machine learning in autism spectrum disorder: methods and applications
Ming Xu, Vince D. Calhoun, Rongtao Jiang, et al.
Journal of Neuroscience Methods (2021) Vol. 361, pp. 109271-109271
Open Access | Times Cited: 43
Classifying ASD based on time-series fMRI using spatial–temporal transformer
Xin Deng, Jiahao Zhang, Rui Liu, et al.
Computers in Biology and Medicine (2022) Vol. 151, pp. 106320-106320
Closed Access | Times Cited: 37
FC–HAT: Hypergraph attention network for functional brain network classification
Junzhong Ji, Yating Ren, Minglong Lei
Information Sciences (2022) Vol. 608, pp. 1301-1316
Closed Access | Times Cited: 34
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