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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:

Differential Deep Convolutional Neural Network Model for Brain Tumor Classification
Isselmou Abd El Kader, Guizhi Xu, Shuai Zhang, et al.
Brain Sciences (2021) Vol. 11, Iss. 3, pp. 352-352
Open Access | Times Cited: 120

Showing 1-25 of 120 citing articles:

A Review on Machine Learning Styles in Computer Vision—Techniques and Future Directions
Supriya V. Mahadevkar, Bharti Khemani, Shruti Patil, et al.
IEEE Access (2022) Vol. 10, pp. 107293-107329
Open Access | Times Cited: 163
Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools
Ramin Ranjbarzadeh, Annalina Caputo, Erfan Babaee Tırkolaee, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106405-106405
Closed Access | Times Cited: 144
A deep learning approach for brain tumor classification using MRI images
Muhammad Aamir, Zia-ur Rahman, Zaheer Ahmed Dayo, et al.
Computers & Electrical Engineering (2022) Vol. 101, pp. 108105-108105
Open Access | Times Cited: 143
Brain Tumor Classification Using Dense Efficient-Net
Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, et al.
Axioms (2022) Vol. 11, Iss. 1, pp. 34-34
Open Access | Times Cited: 137
A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models
Nahid Ferdous Aurna, Mohammad Abu Yousuf, Kazi Abu Taher, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105539-105539
Closed Access | Times Cited: 112
Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives
Yuting Xie, Fulvio Zaccagna, Leonardo Rundo, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1850-1850
Open Access | Times Cited: 90
Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey
Andronicus A. Akinyelu, Fulvio Zaccagna, James T. Grist, et al.
Journal of Imaging (2022) Vol. 8, Iss. 8, pp. 205-205
Open Access | Times Cited: 77
A Novel Data Augmentation-Based Brain Tumor Detection Using Convolutional Neural Network
Haitham Alsaif, Ramzi Guesmi, Badr M. Alshammari, et al.
Applied Sciences (2022) Vol. 12, Iss. 8, pp. 3773-3773
Open Access | Times Cited: 69
An early detection and segmentation of Brain Tumor using Deep Neural Network
Mukul Aggarwal, Amod Kumar Tiwari, Parthasarathi Mangipudi, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 54
Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders—A Scoping Review
Chellammal Surianarayanan, John Jeyasekaran Lawrence, Pethuru Raj Chelliah, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3062-3062
Open Access | Times Cited: 53
Supervised Learning - A Systematic Literature Review
Salim Dridi
(2024)
Open Access | Times Cited: 18
An automated metaheuristic-optimized approach for diagnosing and classifying brain tumors based on a convolutional neural network
Mansourah Aljohani, Waleed M. Bahgat, Hossam Magdy Balaha, et al.
Results in Engineering (2024) Vol. 23, pp. 102459-102459
Open Access | Times Cited: 17
A Recent Investigation on Detection and Classification of Epileptic Seizure Techniques Using EEG Signal
Sani Saminu, Guizhi Xu, Shuai Zhang, et al.
Brain Sciences (2021) Vol. 11, Iss. 5, pp. 668-668
Open Access | Times Cited: 63
An efficient automatic brain tumor classification using optimized hybrid deep neural network
S. Shanthi, S. Saradha, J.A. Smitha, et al.
International Journal of Intelligent Networks (2022) Vol. 3, pp. 188-196
Open Access | Times Cited: 43
A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images
Amran Hossain, Mohammad Tariqul Islam, Sharul Kamal Abdul Rahim, et al.
Biosensors (2023) Vol. 13, Iss. 2, pp. 238-238
Open Access | Times Cited: 32
Combining the Transformer and Convolution for Effective Brain Tumor Classification Using MRI Images
Mohammed Aloraini, Asma Khan, Suliman Aladhadh, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3680-3680
Open Access | Times Cited: 31
Deep Learning and Neural Networks: Decision-Making Implications
Hamed Taherdoost
Symmetry (2023) Vol. 15, Iss. 9, pp. 1723-1723
Open Access | Times Cited: 31
Hybrid Optimization Algorithm Enabled Deep Learning Approach Brain Tumor Segmentation and Classification Using MRI
S. Deepa, J. Janet, S. Sumathi, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 847-868
Closed Access | Times Cited: 28
Enhancing Brain Tumor Classification with Transfer Learning across Multiple Classes: An In-Depth Analysis
Syed Ahmmed, Prajoy Podder, M. Rubaiyat Hossain Mondal, et al.
BioMedInformatics (2023) Vol. 3, Iss. 4, pp. 1124-1144
Open Access | Times Cited: 28
Dual Deep CNN for Tumor Brain Classification
Aya M. Al‐Zoghby, Esraa Mohamed K. Al-Awadly, Ahmad Moawad, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2050-2050
Open Access | Times Cited: 24
Interpretable features fusion with precision MRI images deep hashing for brain tumor detection
Erdal Özbay, Feyza Altunbey Özbay
Computer Methods and Programs in Biomedicine (2023) Vol. 231, pp. 107387-107387
Closed Access | Times Cited: 23
Logarithmic Learning Differential Convolutional Neural Network
Magombe Yasin, Mehmet Sarıgül, Mutlu Avcı
Neural Networks (2024) Vol. 172, pp. 106114-106114
Closed Access | Times Cited: 12
AI‐Enhanced Detection of Clinically Relevant Structural and Functional Anomalies in MRI: Traversing the Landscape of Conventional to Explainable Approaches
Pegah Khosravi, Saber Mohammadi, Fatemeh Zahiri, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 9
Deep Learning Model for Automatic Classification and Prediction of Brain Tumor
Sarang Sharma, Sheifali Gupta, Deepali Gupta, et al.
Journal of Sensors (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 34
The Sustainable Development of Psychological Education in Students’ Learning Concept in Physical Education Based on Machine Learning and the Internet of Things
Xingxing Zong, Mariusz Lipowski, Taofeng Liu, et al.
Sustainability (2022) Vol. 14, Iss. 23, pp. 15947-15947
Open Access | Times Cited: 28
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