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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:

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: 100

Showing 1-25 of 100 citing articles:

RanMerFormer: Randomized vision transformer with token merging for brain tumor classification
Jian Wang, Siyuan Lu, Shuihua Wang‎, et al.
Neurocomputing (2024) Vol. 573, pp. 127216-127216
Open Access | Times Cited: 25
Advanced Brain Tumor Classification in MR Images Using Transfer Learning and Pre-Trained Deep CNN Models
Rukiye Disci, Fatih Gürcan, Ahmet Soylu
Cancers (2025) Vol. 17, Iss. 1, pp. 121-121
Open Access | Times Cited: 1
SAlexNet: Superimposed AlexNet using Residual Attention Mechanism for Accurate and Efficient Automatic Primary Brain Tumor Detection and Classification
Qurat-ul-ain Chaudhary, Shahzad Ahmad Qureshi, Touseef Sadiq, et al.
Results in Engineering (2025), pp. 104025-104025
Open Access | Times Cited: 1
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
Efficient simultaneous segmentation and classification of brain tumors from MRI scans using deep learning
Akshya Kumar Sahoo, Priyadarsan Parida, K. Muralibabu, et al.
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 3, pp. 616-633
Closed Access | Times Cited: 28
Dual Deep CNN for Tumor Brain Classification
Aya M. Al‐Zoghby, Esraa Mohamed K. Al-Awadly, Ahmad Moawad, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2050-2050
Open Access | Times Cited: 24
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
Enhancement of brain tumor classification from MRI images using multi-path convolutional neural network with SVM classifier
Sahar Khoramipour, Mojtaba Gandomkar, Mohsen Shakiba
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106117-106117
Closed Access | Times Cited: 8
OCR Applied for Identification of Vehicles with Irregular Documentation Using IoT
Luiz Alfonso Glasenapp, Aurélio Faustino Hoppe, Miguel Alexandre Wisintainer, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1083-1083
Open Access | Times Cited: 17
Deep Feature Extraction with Cubic-SVM for Classification of Brain Tumor
Mohammed Bourennane, Hilal Naimi, Mohamed Elbar
STUDIES IN ENGINEERING AND EXACT SCIENCES (2024) Vol. 5, Iss. 1, pp. 19-35
Open Access | Times Cited: 5
Enhancing Automated Brain Tumor Detection Accuracy Using Artificial Intelligence Approaches for Healthcare Environments
Akmalbek Abdusalomov, Mekhriddin Rakhimov, Jakhongir Karimberdiyev, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 627-627
Open Access | Times Cited: 5
Utilizing customized CNN for brain tumor prediction with explainable AI
Md. Imran Nazir, Afsana Akter, Md. Anwar Hussen Wadud, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e38997-e38997
Open Access | Times Cited: 5
A Novel Encoder Decoder Architecture with Vision Transformer for Medical Image Segmentation
Saroj Bala, Kumud Arora, R Jeevitha, et al.
Journal of Electronics Electromedical Engineering and Medical Informatics (2025) Vol. 7, Iss. 1, pp. 176-186
Open Access
Design of an Optimal Convolutional Neural Network Architecture for MRI Brain Tumor Classification by Exploiting Particle Swarm Optimization
Sofia El Amoury, Youssef Smili, Youssef Fakhri
Journal of Imaging (2025) Vol. 11, Iss. 2, pp. 31-31
Open Access
Exploring brain tumor detection through artificial intelligence
Ashish Kumar, Shikha Bhalla
Elsevier eBooks (2025), pp. 93-120
Closed Access
Advanced Hybridization and Optimization of DNNs for Medical Imaging: A Survey on Disease Detection Techniques
Maneet Kaur Bohmrah, Harjot Kaur
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
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
M-C&M-BL: a novel classification model for brain tumor classification: multi-CNN and multi-BiLSTM
Muhammet Sinan Başarslan
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Open Access
A Lightweight multi-path convolutional neural network architecture using optimal features selection for multiclass classification of brain tumor using magnetic resonance images
Amreen Batool, Yung-Cheol Byun
Results in Engineering (2025), pp. 104327-104327
Open Access
Wavelet Based Classification Using Meta-Heuristic Algorithm with Deep Transfer Learning Technique
Anupam Pandey, Vikas Pandey
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
Detection of MRI brain tumor using residual skip block based modified MobileNet model
Saif Ur Rehman Khan, Ming Zhao, Yangfan Li
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
A novel approach for the detection of brain tumor and its classification via end-to-end vision transformer - CNN architecture
K. Chandraprabha, L. Ganesan, K. Baskaran
Frontiers in Oncology (2025) Vol. 15
Open Access
Enhanced Brain Tumor Detection: A Comparative Study of CNN and MobileNetV2
Dibya Ranjan Sarangi, Debendra Muduli, Prabir Kumar Jena, et al.
Learning and analytics in intelligent systems (2025), pp. 21-30
Closed Access
Improved Multiclass Brain Tumor Detection via Customized Pretrained EfficientNetB7 Model
Hafiz Muhammad Tayyab Khushi, Tehreem Masood, Arfan Jaffar, et al.
IEEE Access (2023) Vol. 11, pp. 117210-117230
Open Access | Times Cited: 12
Optimizing Tumor Classification Through Transfer Learning and Particle Swarm Optimization-Driven Feature Extraction
Ali Akbar Siddique, Asif Raza, Mohammed S. Alshehri, et al.
IEEE Access (2024) Vol. 12, pp. 85929-85939
Open Access | Times Cited: 4
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