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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:

Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning
Ebrahim Mohammed Senan, Mukti E. Jadhav, Taha H. Rassem, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 112

Showing 26-50 of 112 citing articles:

Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology
Carla Pitarch, Gülnur Ungan, Margarida Julià‐Sapé, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 300-300
Open Access | Times Cited: 5
A Deep Learning Based Glioma Tumour Detection Using Efficient Visual Geometry Group Convolutional Neural Networks Architecture
Parameswari Alagarsamy, Bhavani Sridharan, Vinoth Kumar Kalimuthu
Brazilian Archives of Biology and Technology (2024) Vol. 67
Open Access | Times Cited: 5
A robust classification of brain tumor disease in MRI using twin-attention based dense convolutional auto-encoder
Sandhya Waghere, Jayashri Prashant Shinde
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106088-106088
Closed Access | Times Cited: 5
VITALT: a robust and efficient brain tumor detection system using vision transformer with attention and linear transformation
S. Poornam, J. Jane Rubel Angelina
Neural Computing and Applications (2024) Vol. 36, Iss. 12, pp. 6403-6419
Closed Access | Times Cited: 5
NeuroInsight: a revolutionary self-adaptive framework for precise brain tumor classification in medical imaging using adaptive deep learning
Sonia Arora, Gouri Sankar Mishra
Signal Image and Video Processing (2025) Vol. 19, Iss. 2
Open Access
Exploring brain tumor detection through artificial intelligence
Ashish Kumar, Shikha Bhalla
Elsevier eBooks (2025), pp. 93-120
Closed Access
MWG-UNet: Hybrid Transformer U-Net Model for Brain Tumor Segmentation in MRI Scans++
Yu Lyu, Xiaolin Tian
Bioengineering (2025) Vol. 12, Iss. 2, pp. 140-140
Open Access
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, et al.
Advanced Intelligent Systems (2025)
Open Access
Hybrid Deep Learning and Active Contour Approach for Enhanced Breast Lesion Segmentation and Classification in Mammograms
Abdala Nour, Boubakeur Boufama
Intelligence-Based Medicine (2025) Vol. 11, pp. 100224-100224
Open Access
Advanced applications in chronic disease monitoring using IoT mobile sensing device data, machine learning algorithms and frame theory: a systematic review
Yu Liu, Boyuan Wang
Frontiers in Public Health (2025) Vol. 13
Open Access
Precise brain tumor classification from MRI images with hybrid recurrent neural network-bidirectional LSTM and humming bird optimization
Gokapay Dilip Kumar, Sachi Nandan Mohanty
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
Multi-Method Diagnosis of Histopathological Images for Early Detection of Breast Cancer Based on Hybrid and Deep Learning
Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, et al.
Mathematics (2023) Vol. 11, Iss. 6, pp. 1429-1429
Open Access | Times Cited: 15
Hybrid Techniques of X-ray Analysis to Predict Knee Osteoarthritis Grades Based on Fusion Features of CNN and Handcrafted
Khalid Ahmed, Ebrahim Mohammed Senan, Khalil AL-Wagih, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1609-1609
Open Access | Times Cited: 15
Optimizing brain tumor classification through feature selection and hyperparameter tuning in machine learning models
Mst. Sazia Tahosin, Md. Alif Sheakh, Taminul Islam, et al.
Informatics in Medicine Unlocked (2023) Vol. 43, pp. 101414-101414
Open Access | Times Cited: 13
Brain tumor classification and detection via hybrid alexnet-gru based on deep learning
A. Priya, V. Vasudevan
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105716-105716
Closed Access | Times Cited: 12
Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models
Mohammed Alshahrani, Mohammed Al-Jabbar, Ebrahim Mohammed Senan, et al.
PLoS ONE (2024) Vol. 19, Iss. 3, pp. e0298305-e0298305
Open Access | Times Cited: 4
Hybrid Techniques for Diagnosis with WSIs for Early Detection of Cervical Cancer Based on Fusion Features
Badiea Abdulkarem Mohammed, Ebrahim Mohammed Senan, Zeyad Ghaleb Al-Mekhlafi, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8836-8836
Open Access | Times Cited: 21
SSBTCNet: Semi-Supervised Brain Tumor Classification Network
Zubair Atha, Jyotismita Chaki
IEEE Access (2023) Vol. 11, pp. 141485-141499
Open Access | Times Cited: 10
Distinguishing brain tumors by Label-free confocal micro-Raman spectroscopy
Jie Liu, Pan Wang, Hua Zhang, et al.
Photodiagnosis and Photodynamic Therapy (2024) Vol. 45, pp. 104010-104010
Open Access | Times Cited: 3
Computer-Aided Diagnostic System for Brain Tumor Classification using Explainable AI
S. Padmapriya, M.S. Gayathri Devi
(2024), pp. 1-6
Closed Access | Times Cited: 3
Diagnosis of Histopathological Images to Distinguish Types of Malignant Lymphomas Using Hybrid Techniques Based on Fusion Features
Zeyad Ghaleb Al-Mekhlafi, Ebrahim Mohammed Senan, Badiea Abdulkarem Mohammed, et al.
Electronics (2022) Vol. 11, Iss. 18, pp. 2865-2865
Open Access | Times Cited: 16
Analyzing Histological Images Using Hybrid Techniques for Early Detection of Multi-Class Breast Cancer Based on Fusion Features of CNN and Handcrafted
Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1753-1753
Open Access | Times Cited: 10
Multi-Models of Analyzing Dermoscopy Images for Early Detection of Multi-Class Skin Lesions Based on Fused Features
Ibrahim Abdulrab Ahmed, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi, et al.
Processes (2023) Vol. 11, Iss. 3, pp. 910-910
Open Access | Times Cited: 9
Hybrid Techniques for Diagnosing Endoscopy Images for Early Detection of Gastrointestinal Disease Based on Fusion Features
Zeyad Ghaleb Al-Mekhlafi, Ebrahim Mohammed Senan, Jalawi Sulaiman Alshudukhi, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-20
Open Access | Times Cited: 9
An Early Diagnosis of Brain Tumor Using Fused Transfer Learning
Ghulam Sajjad, Muhammad Bilal Khan, Taher M. Ghazal, et al.
2022 International Conference on Business Analytics for Technology and Security (ICBATS) (2023), pp. 1-5
Closed Access | Times Cited: 8

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