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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 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

Showing 1-25 of 112 citing articles:

Classifying Brain Tumors on Magnetic Resonance Imaging by Using Convolutional Neural Networks
Marco Antonio Gómez-Guzmán, Laura Jiménez-Beristáin, Enrique Efrén García-Guerrero, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 955-955
Open Access | Times Cited: 101
Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor
Atika Akter, Nazeela Nosheen, Sabbir Ahmed, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122347-122347
Open Access | Times Cited: 84
Intelligent Hybrid Deep Learning Model for Breast Cancer Detection
Xiaomei Wang, Ijaz Ahmad, Danish Javeed, et al.
Electronics (2022) Vol. 11, Iss. 17, pp. 2767-2767
Open Access | Times Cited: 79
PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images
Taha Muezzinoglu, Nursena Bayğın, Ilknur Tuncer, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 973-987
Closed Access | Times Cited: 48
Application of Deep Neural Networks and Machine Learning algorithms for diagnosis of Brain tumour
Shaiq Wani, Sachin Ahuja, Abhishek Kumar
2022 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (2023), pp. 106-111
Closed Access | Times Cited: 43
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
CerCan·Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning
Omneya Attallah
Expert Systems with Applications (2023) Vol. 229, pp. 120624-120624
Closed Access | Times Cited: 38
Healthcare As a Service (HAAS): CNN-based cloud computing model for ubiquitous access to lung cancer diagnosis
Nuruzzaman Faruqui, Mohammad Abu Yousuf, Faris Kateb, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21520-e21520
Open Access | Times Cited: 31
Parameter adaptive unit-linking pulse coupled neural network based MRI–PET/SPECT image fusion
Chinmaya Panigrahy, Ayan Seal, Consuelo Gonzalo‐Martín, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104659-104659
Closed Access | Times Cited: 30
Development of hybrid models based on deep learning and optimized machine learning algorithms for brain tumor Multi-Classification
Muhammed ÇELİK, Özkan İNİK
Expert Systems with Applications (2023) Vol. 238, pp. 122159-122159
Closed Access | Times Cited: 30
A systematic analysis of magnetic resonance images and deep learning methods used for diagnosis of brain tumor
Shubhangi Solanki, Uday Pratap Singh, Siddharth Singh Chouhan, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23929-23966
Closed Access | Times Cited: 28
A Robust Distributed Deep Learning Approach to Detect Alzheimer’s Disease from MRI Images
Tapotosh Ghosh, Md Istakiak Adnan Palash, Mohammad Abu Yousuf, et al.
Mathematics (2023) Vol. 11, Iss. 12, pp. 2633-2633
Open Access | Times Cited: 23
Multi-class classification of brain tumour magnetic resonance images using multi-branch network with inception block and five-fold cross validation deep learning framework
Deependra Rastogi, Prashant Johri, Varun Tiwari, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105602-105602
Closed Access | Times Cited: 22
A Novel Ensemble Framework for Multi-Classification of Brain Tumors Using Magnetic Resonance Imaging
Yasemın Çetın-Kaya, Mahır Kaya
Diagnostics (2024) Vol. 14, Iss. 4, pp. 383-383
Open Access | Times Cited: 9
Early prediction of chronic kidney disease based on ensemble of deep learning models and optimizers
Dina Saif, Amany Sarhan, Nada M. Elshennawy
Journal of Electrical Systems and Information Technology (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 8
Feature Extraction Using Hybrid Approach of VGG19 and GLCM For Optimized Brain Tumor Classification
Mamta Sharma, Sunita Beniwal
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 7
Novel Insights in Spatial Epidemiology Utilizing Explainable AI (XAI) and Remote Sensing
Αναστάσιος Τέμενος, Ioannis N. Tzortzis, Maria Kaselimi, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3074-3074
Open Access | Times Cited: 30
Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks
Mohamed Esmail Karar, Nawal El‐Fishawy, Marwa Radad
Journal of Biological Engineering (2023) Vol. 17, Iss. 1
Open Access | Times Cited: 20
ConvAttenMixer: Brain tumor detection and type classification using convolutional mixer with external and self-attention mechanisms
Salha M. Alzahrani
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 10, pp. 101810-101810
Open Access | Times Cited: 19
Multigrade brain tumor classification in MRI images using Fine tuned efficientnet
Pallavi Priyadarshini, P. Kanungo, T. Kar
e-Prime - Advances in Electrical Engineering Electronics and Energy (2024) Vol. 8, pp. 100498-100498
Open Access | Times Cited: 6
Multimodal brain tumor segmentation and classification from MRI scans based on optimized DeepLabV3+ and interpreted networks information fusion empowered with explainable AI
Muhammad Sami Ullah, Muhammad Attique Khan, Hussain Mubarak Albarakati, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109183-109183
Closed Access | Times Cited: 6
Brain tumor classification using fine-tuned transfer learning models on magnetic resonance imaging (MRI) images
Sadia Maduri Rasa, Mohammed Manowarul Islam, Mohammed Alamin Talukder, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 6
A Multiscale Atrous Convolution-based Adaptive ResUNet3 + with Attention-based ensemble convolution networks for brain tumour segmentation and classification using heuristic improvement
Baireddy Sreenivasa Reddy, Anchula Sathish
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105900-105900
Closed Access | Times Cited: 5
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
Multi-Class Brain Tumor Grades Classification Using a Deep Learning-Based Majority Voting Algorithm and Its Validation Using Explainable-AI
Gopal S. Tandel, Ashish Tiwari, O. G. Kakde
Deleted Journal (2025)
Closed Access
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