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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:

A decision support system for multimodal brain tumor classification using deep learning
Muhammad Imran Sharif, Muhammad Attique Khan, Musaed Alhussein, et al.
Complex & Intelligent Systems (2021) Vol. 8, Iss. 4, pp. 3007-3020
Open Access | Times Cited: 187

Showing 1-25 of 187 citing articles:

Brain tumor detection and classification using machine learning: a comprehensive survey
Javeria Amin, Muhammad Sharif, Anandakumar Haldorai, et al.
Complex & Intelligent Systems (2021) Vol. 8, Iss. 4, pp. 3161-3183
Open Access | Times Cited: 262
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
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
A Survey of Brain Tumor Segmentation and Classification Algorithms
Erena Siyoum Biratu, Friedhelm Schwenker, Yehualashet Megersa Ayano, et al.
Journal of Imaging (2021) Vol. 7, Iss. 9, pp. 179-179
Open Access | Times Cited: 121
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm
Muhammad Attique Khan, Awais Khan, Majed Alhaisoni, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 2, pp. 572-587
Closed Access | Times Cited: 80
A hybrid deep CNN-Cov-19-Res-Net Transfer learning architype for an enhanced Brain tumor Detection and Classification scheme in medical image processing
K S Ananda Kumar, A. Prasad, Jyoti Metan
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103631-103631
Closed Access | Times Cited: 79
Glioma Tumors’ Classification Using Deep-Neural-Network-Based Features with SVM Classifier
Ghazanfar Latif, Ghassen Ben Brahim, D. N. F. Awang Iskandar, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 1018-1018
Open Access | Times Cited: 72
AI-Powered Diagnosis of Skin Cancer: A Contemporary Review, Open Challenges and Future Research Directions
Navneet Vinod Melarkode, Kathiravan Srinivasan, Saeed Mian Qaisar, et al.
Cancers (2023) Vol. 15, Iss. 4, pp. 1183-1183
Open Access | Times Cited: 63
Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model
Ayesha Jabbar, Shahid Naseem, Tariq Mahmood, et al.
IEEE Access (2023) Vol. 11, pp. 72518-72536
Open Access | Times Cited: 44
Self-attention based progressive generative adversarial network optimized with momentum search optimization algorithm for classification of brain tumor on MRI image
N. Nagarani, R. Karthick, M. Sandra Carmel Sophia, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105597-105597
Closed Access | Times Cited: 40
A novel Swin transformer approach utilizing residual multi-layer perceptron for diagnosing brain tumors in MRI images
İshak Paçal
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 9, pp. 3579-3597
Open Access | Times Cited: 39
Automated Brain Tumor Segmentation and Classification in MRI Using YOLO-Based Deep Learning
Maram Fahaad Almufareh, Muhammad Imran, Abdullah Khan, et al.
IEEE Access (2024) Vol. 12, pp. 16189-16207
Open Access | Times Cited: 23
Enhancing EfficientNetv2 with global and efficient channel attention mechanisms for accurate MRI-Based brain tumor classification
İshak Paçal, Ömer Çelik, Bilal Bayram, et al.
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 11187-11212
Open Access | Times Cited: 17
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
Performance of convolutional neural networks for the classification of brain tumors using magnetic resonance imaging
Daniel Reyes, Javier Sánchez
Heliyon (2024) Vol. 10, Iss. 3, pp. e25468-e25468
Open Access | Times Cited: 15
Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network
Rajesh Kumar Thangavel, Antony Allwyn Sundarraj, Jayabrabu Ramakrishnan, et al.
Electromagnetic Biology and Medicine (2025), pp. 1-18
Closed Access | Times Cited: 1
New Cognitive Computational Strategy for Optimizing Brain Tumour Classification using Magnetic Resonance Imaging Data
R. Kishore Kanna, Ayodeji Olalekan Salau
Intelligence-Based Medicine (2025), pp. 100215-100215
Open Access | Times Cited: 1
VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images
Muhammad Attique Khan, V. Rajinikanth, Suresh Chandra Satapathy, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2208-2208
Open Access | Times Cited: 99
A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis
Ahmad Naeem, Tayyaba Anees, Rizwan Ali Naqvi, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 275-275
Open Access | Times Cited: 59
BrainNet: Optimal Deep Learning Feature Fusion for Brain Tumor Classification
Usman Zahid, Imran Ashraf, Muhammad Attique Khan, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 53
A review on federated learning towards image processing
Fahad Ahmed Khokhar, Jamal Hussain Shah, Muhammad Attique Khan, et al.
Computers & Electrical Engineering (2022) Vol. 99, pp. 107818-107818
Closed Access | Times Cited: 50
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
M3BTCNet: multi model brain tumor classification using metaheuristic deep neural network features optimization
Muhammad Irfan Sharif, Jianping Li, Muhammad Attique Khan, et al.
Neural Computing and Applications (2022) Vol. 36, Iss. 1, pp. 95-110
Closed Access | Times Cited: 41
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
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