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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 Comprehensive Survey on Brain Tumor Diagnosis Using Deep Learning and Emerging Hybrid Techniques with Multi-modal MR Image
Saqib Ali, Jianqiang Li, Yan Pei, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 4871-4896
Closed Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Medicina (2022) Vol. 58, Iss. 8, pp. 1090-1090
Open Access | Times Cited: 168
Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview
Shubhangi Solanki, Uday Pratap Singh, Siddharth Singh Chouhan, et al.
IEEE Access (2023) Vol. 11, pp. 12870-12886
Open Access | Times Cited: 96
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 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
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
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
Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images
K. Divya Lakshmi, Sibi Amaran, Subbulakshmi Ganesan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
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
Recent Advancements and Future Prospects in Active Deep Learning for Medical Image Segmentation and Classification
Tariq Mahmood, Amjad Rehman, Tanzila Saba, et al.
IEEE Access (2023) Vol. 11, pp. 113623-113652
Open Access | Times Cited: 27
Design and assessment of improved Convolutional Neural Network based brain tumor segmentation and classification system
Alok Singh Chauhan, Jyoti Prakash Singh, Sumit Kumar, et al.
Journal of Integrated Science and Technology (2024) Vol. 12, Iss. 4
Open Access | Times Cited: 9
Recent deep learning-based brain tumor segmentation models using multi-modality magnetic resonance imaging: a prospective survey
Zain Ul Abıdın, Rizwan Ali Naqvi, Amir Haider, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 9
Enhancing Brain Tumor Classification by a Comprehensive Study on Transfer Learning Techniques and Model Efficiency Using MRI Datasets
Nadia Shamshad, Danish Sarwr, Ahmad Almogren, et al.
IEEE Access (2024) Vol. 12, pp. 100407-100418
Open Access | Times Cited: 8
Redefining brain tumor segmentation: a cutting-edge convolutional neural networks-transfer learning approach
Shoffan Saifullah, Rafał Dreżewski
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 3, pp. 2583-2583
Open Access | Times Cited: 7
Transforming educational insights: strategic integration of federated learning for enhanced prediction of student learning outcomes
Umer Farooq, Shahid Naseem, Tariq Mahmood, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 11, pp. 16334-16367
Closed Access | Times Cited: 7
Enhancing Prognosis Accuracy for Ischemic Cardiovascular Disease Using K Nearest Neighbor Algorithm: A Robust Approach
Ghulam Muhammad, Saad Naveed, Lubna Nadeem, et al.
IEEE Access (2023) Vol. 11, pp. 97879-97895
Open Access | Times Cited: 18
Vision transformers in multi-modal brain tumor MRI segmentation: A review
Pengyu Wang, Qiushi Yang, Zhibin He, et al.
Meta-Radiology (2023) Vol. 1, Iss. 1, pp. 100004-100004
Open Access | Times Cited: 17
Deep Transfer Learning-Based Automated Diabetic Retinopathy Detection Using Retinal Fundus Images in Remote Areas
Ayesha Jabbar, Shahid Naseem, Jianqiang Li, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 5
Automated multi-class MRI brain tumor classification and segmentation using deformable attention and saliency mapping
Erfan Zarenia, A. Far, Khosro Rezaee
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Particle Swarm Optimization and Two-Way Fixed-Effects Analysis of Variance for Efficient Brain Tumor Segmentation
Naoual Atia, Amir Benzaoui, Sébastien Jacques, et al.
Cancers (2022) Vol. 14, Iss. 18, pp. 4399-4399
Open Access | Times Cited: 24
Brain tumor detection and segmentation: Interactive framework with a visual interface and feedback facility for dynamically improved accuracy and trust
Kashfia Sailunaz, Deniz Beştepe, Sleiman Alhajj, et al.
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0284418-e0284418
Open Access | Times Cited: 15
Optimizing the topology of convolutional neural network (CNN) and artificial neural network (ANN) for brain tumor diagnosis (BTD) through MRIs
Jianhong Ye, Zhiyong Zhao, Ehsan Ghafourian, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e35083-e35083
Open Access | Times Cited: 3
GTP-4o: Modality-Prompted Heterogeneous Graph Learning for Omni-Modal Biomedical Representation
Chenxin Li, Xinyu Liu, Cheng Wang, et al.
Lecture notes in computer science (2024), pp. 168-187
Closed Access | Times Cited: 3
Particle Swarm Optimization and Two-Way Fixed-Effects Analysis of Variance for Efficient Brain Tumor Segmentation
Naoual Atia, Amir Benzaoui, Sébastien Jacques, et al.
(2022)
Open Access | Times Cited: 13
Digital Twins for Development of Microwave-Based Brain Tumor Detection
Mariella Särestöniemi, Daljeet Singh, Charline Heredia, et al.
Communications in computer and information science (2024), pp. 240-254
Open Access | Times Cited: 2
Cancer Unveiled: A Deep Dive Into Breast Tumor Detection Using Cutting-Edge Deep Learning Models
Wishal Arshad, Tehreem Masood, Tariq Mahmood, et al.
IEEE Access (2023) Vol. 11, pp. 133804-133824
Open Access | Times Cited: 6
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