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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:

Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104697-104697
Open Access | Times Cited: 139

Showing 51-75 of 139 citing articles:

Aleatory-aware deep uncertainty quantification for transfer learning
H M Dipu Kabir, Sadia Khanam, Fahime Khozeimeh, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105246-105246
Closed Access | Times Cited: 16
Autonomous Convoying: A Survey on Current Research and Development
Saeid Nahavandi, Shady Mohamed, Ibrahim Hossain, et al.
IEEE Access (2022) Vol. 10, pp. 13663-13683
Open Access | Times Cited: 14
An overview of data integration in neuroscience with focus on Alzheimer's Disease
Rosanna Turrisi, Margherita Squillario, Giulia Abate, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1824-1835
Open Access | Times Cited: 8
EFFICIENT SEGMENTATION MODEL USING MRI IMAGES AND DEEP LEARNING TECHNIQUES FOR MULTIPLE SCLEROSIS CLASSIFICATION
GILBERT langat, Beiji Zou, Xiaoyan Kui, et al.
International Journal for Multiscale Computational Engineering (2024) Vol. 22, Iss. 5, pp. 61-98
Closed Access | Times Cited: 2
Mapping Coniferous Forest Distribution in a Semi-Arid Area Based on Multi-Classifier Fusion and Google Earth Engine Combining Gaofen-1 and Sentinel-1 Data: A Case Study in Northwestern Liaoning, China
Lizhi Liu, Qiuliang Zhang, Ying Guo, et al.
Forests (2024) Vol. 15, Iss. 2, pp. 288-288
Open Access | Times Cited: 2
AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans
Mohamed G. Khattap, Mohamed Abd Elaziz, Hend Galal Eldeen Mohamed Ali Hassan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability
John D. Mayfield, Ryan Murtagh, John R. Ciotti, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 2
An analytical review on the use of artificial intelligence and machine learning in diagnosis, prediction, and risk factor analysis of multiple sclerosis
Shima Pilehvari, Yasser Morgan, Wei Peng
Multiple Sclerosis and Related Disorders (2024) Vol. 89, pp. 105761-105761
Closed Access | Times Cited: 2
Integrating large language models in care, research, and education in multiple sclerosis management
Hernán Inojosa, Isabel Voigt, Judith Wenk, et al.
Multiple Sclerosis Journal (2024)
Closed Access | Times Cited: 2
An age-dependent Connectivity-based computer aided diagnosis system for Autism Spectrum Disorder using Resting-state fMRI
Hossein Haghighat, Mitra Mirzarezaee, Babak Nadjar Araabi, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103108-103108
Closed Access | Times Cited: 19
A robust algorithm for white blood cell nuclei segmentation
Mimosette Makem, Alain Tiedeu, Guillaume Kom, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 13, pp. 17849-17874
Closed Access | Times Cited: 13
A new steganographic algorithm based on coupled chaotic maps and a new chaotic S-box
Nafiseh Hematpour, Sodeif Ahadpour, Iman Golbaz Sourkhani, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 27, pp. 39753-39784
Closed Access | Times Cited: 12
Graph-Based Analysis of Brain Connectivity in Multiple Sclerosis Using Functional MRI: A Systematic Review
Sara Hejazi, Waldemar Karwowski, Farzad V. Farahani, et al.
Brain Sciences (2023) Vol. 13, Iss. 2, pp. 246-246
Open Access | Times Cited: 7
Artificial Intelligence and Multiple Sclerosis: Up-to-Date Review
Yahya Naji, Mohamed Mahdaoui, Raymond Klevor, et al.
Cureus (2023)
Open Access | Times Cited: 7
CycleFormer: Brain tissue segmentation in the presence of Multiple Sclerosis lesions and Intensity Non-Uniformity artifact
Zahra Mohammadi, Atefe Aghaei, Mohsen Ebrahimi Moghaddam
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106153-106153
Closed Access | Times Cited: 2
Intelligent Deep Learning Based Multi-Retinal Disease Diagnosis and Classification Framework
Thavavel Vaiyapuri, S. Sujatha, Mohamed Yacin Sikkandar, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 3, pp. 5543-5557
Open Access | Times Cited: 11
Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome
Berardino Barile, Pooya Ashtari, Claudio Stamile, et al.
Frontiers in Robotics and AI (2022) Vol. 9
Open Access | Times Cited: 11
Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection
Sujatha Krishnamoorthy, Yaxi Zhang, Seifedine Kadry, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 6
Application of medical imaging methods and artificial intelligence in tissue engineering and organ-on-a-chip
Wanying Gao, Chunyan Wang, Qiwei Li, et al.
Frontiers in Bioengineering and Biotechnology (2022) Vol. 10
Open Access | Times Cited: 10
Skeletal Muscle Dysfunction in People With Multiple Sclerosis: A Physiological Target for Improving Physical Function and Mobility
T. Bradley Willingham, Kevin K. McCully, Deborah Backus
Archives of Physical Medicine and Rehabilitation (2022) Vol. 104, Iss. 4, pp. 694-706
Closed Access | Times Cited: 9
Diagnostic effectiveness of deep learning-based MRI in predicting multiple sclerosis: A meta-analysis
Tareef S. Daqqaq, Ayman S. Alhasan, Hadeel A. Ghunaim
Neurosciences (2024) Vol. 29, Iss. 2, pp. 77-89
Open Access | Times Cited: 1
Deep Attention V-Net Architecture for Enhanced Multiple Sclerosis Segmentation
V. P. Nasheeda, Vijayarajan Rajangam
IEEE Access (2024) Vol. 12, pp. 110550-110562
Open Access | Times Cited: 1
Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review
Hibba Yousef, Brigitta Malagurski Tortei, Filippo Castiglione
Journal of Neurology (2024)
Open Access | Times Cited: 1
Identification and classification of musculoskeletal conditions using artificial intelligence and machine learning
Ritesh Bhat, V. Santhanam, K. Sekar, et al.
Elsevier eBooks (2024), pp. 21-37
Closed Access | Times Cited: 1
Correlation Between Smoking Paradox and Heart Rhythm Outcomes in Patients With Coronary Artery Disease Receiving Percutaneous Coronary Intervention
Han‐Ping Wu, Sheng‐Ling Jan, Shih‐Lin Chang, et al.
Frontiers in Cardiovascular Medicine (2022) Vol. 9
Open Access | Times Cited: 8

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