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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:

An Efficient Approach for the Detection of Brain Tumor Using Fuzzy Logic and U-NET CNN Classification
Sarmad Maqsood, Robertas Damaševičius, Faisal Mehmood Shah
Lecture notes in computer science (2021), pp. 105-118
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

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
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 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
SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformer
Yun Jiang, Yuan Zhang, Xin Lin, et al.
Brain Sciences (2022) Vol. 12, Iss. 6, pp. 797-797
Open Access | Times Cited: 120
An Intelligent System for Early Recognition of Alzheimer’s Disease Using Neuroimaging
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius
Sensors (2022) Vol. 22, Iss. 3, pp. 740-740
Open Access | Times Cited: 97
Multiscale lightweight 3D segmentation algorithm with attention mechanism: Brain tumor image segmentation
Hengxin Liu, Guoqiang Huo, Qiang Li, et al.
Expert Systems with Applications (2022) Vol. 214, pp. 119166-119166
Closed Access | Times Cited: 81
Brain Tumor Classification Using Meta-Heuristic Optimized Convolutional Neural Networks
Sarah Zuhair Kurdi, Mohammed Hasan Ali, Mustafa Musa Jaber, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 2, pp. 181-181
Open Access | Times Cited: 78
A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI
Mirza Mumtaz Zahoor, Shahzad Ahmad Qureshi, Sameena Bibi, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2726-2726
Open Access | Times Cited: 75
A New Model for Brain Tumor Detection Using Ensemble Transfer Learning and Quantum Variational Classifier
Javeria Amin, Muhammad Almas Anjum, Muhammad Sharif, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 73
A Novel and Effective Brain Tumor Classification Model Using Deep Feature Fusion and Famous Machine Learning Classifiers
Hareem Kibriya, Rashid Amin, Asma Hassan Alshehri, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 69
Brain Tumor Classification and Detection Using Hybrid Deep Tumor Network
Gehad Abdullah Amran, Mohammed Shakeeb Alsharam, Abdullah Omar A. Blajam, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3457-3457
Open Access | Times Cited: 47
Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures
Faizan Ullah, Muhammad Nadeem, Mohammad Abrar, et al.
Mathematics (2023) Vol. 11, Iss. 19, pp. 4189-4189
Open Access | Times Cited: 36
Brain Tumor Classification Using Hybrid Single Image Super-Resolution Technique With ResNext101_32× 8d and VGG19 Pre-Trained Models
Saeed Mohsen, Anas M. Ali, El‐Sayed M. El‐Rabaie, et al.
IEEE Access (2023) Vol. 11, pp. 55582-55595
Open Access | Times Cited: 31
A Novel Transfer Learning-Based Model for Ultrasound Breast Cancer Image Classification
Saksham Gupta, Satvik Agrawal, Sunil K. Singh, et al.
Advances in intelligent systems and computing (2023), pp. 511-523
Closed Access | Times Cited: 28
DaSAM: Disease and Spatial Attention Module-Based Explainable Model for Brain Tumor Detection
Sara Tehsin, Inzamam Mashood Nasir, Robertas Damaševičius, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 9, pp. 97-97
Open Access | Times Cited: 13
Comparative Analysis of Eight Direction Sobel Edge Detection Algorithm for Brain Tumor MRI Images
A S Remya Ajai, Sundararaman Gopalan
Procedia Computer Science (2022) Vol. 201, pp. 487-494
Open Access | Times Cited: 32
DenseTrans: Multimodal Brain Tumor Segmentation Using Swin Transformer
Zongren Li, Wushouer Silamu, Yuzhen Wang, et al.
IEEE Access (2023) Vol. 11, pp. 42895-42908
Open Access | Times Cited: 20
Taxonomy of hybrid architectures involving rule-based reasoning and machine learning in clinical decision systems: A scoping review
Slawomir Kierner, J. Kucharski, Zofia Kierner
Journal of Biomedical Informatics (2023) Vol. 144, pp. 104428-104428
Open Access | Times Cited: 20
MRI-Based Biomarker in the Diagnosis of Alzheimer’s Disease Using Attention-UNet
Jayavardhana Arumugam, V. Prasanna Venkatesan, Tabiya Manzoor Beigh
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
Interpreting CNN for Brain Tumor Classification Using XGrad-Cam
Sara Tehsin, Inzamam Mashood Nasir, Robertas Damaševičius
Communications in computer and information science (2025), pp. 282-296
Closed Access
3D convolutional neural networks with hybrid attention mechanism for early diagnosis of Alzheimer’s disease
Zhiwei Qin, Zhao Liu, Qihao Guo, et al.
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103828-103828
Closed Access | Times Cited: 26
Classifying tumor brain images using parallel deep learning algorithms
Ahmad Kazemi, Mohammad Ebrahim Shiri, Amir Sheikhahmadi, et al.
Computers in Biology and Medicine (2022) Vol. 148, pp. 105775-105775
Closed Access | Times Cited: 22
VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images
Jesline Daniel, J. T. Anita Rose, F. Sangeetha Francelin Vinnarasi, et al.
Scanning (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 20
A Novel CNN pooling layer for breast cancer segmentation and classification from thermograms
Esraa Mohamed, Tarek Gaber, Omar H. Karam, et al.
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0276523-e0276523
Open Access | Times Cited: 19
CVG-Net: novel transfer learning based deep features for diagnosis of brain tumors using MRI scans
Shaha Al‐Otaibi, Amjad Rehman, Ali Raza, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2008-e2008
Open Access | Times Cited: 3
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