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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:

Combining CNN Features with Voting Classifiers for Optimizing Performance of Brain Tumor Classification
Nazik Alturki, Muhammad Umer, Abid Ishaq, et al.
Cancers (2023) Vol. 15, Iss. 6, pp. 1767-1767
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Brain Glial Cell Tumor Classification through Ensemble Deep Learning with APCGAN Augmentation
T. Deepa, Ch. D. V. Subba Rao
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 9
White blood cells classification using multi-fold pre-processing and optimized CNN model
Oumaima Saidani, Muhammad Umer, Nazik Alturki, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Transfer learning based approach for lung and colon cancer detection using local binary pattern features and explainable artificial intelligence (AI) techniques
Shtwai Alsubai
PeerJ Computer Science (2024) Vol. 10, pp. e1996-e1996
Open Access | Times Cited: 5
Enhanced MRI-based brain tumor classification with a novel Pix2pix generative adversarial network augmentation framework
Efe Precious Onakpojeruo, Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, et al.
Brain Communications (2024) Vol. 6, Iss. 6
Open Access | Times Cited: 5
Integrating artificial intelligence for improved security of IoT-drones through cyber-physical attack detection
Abeer Hakeem, Maha Sabir, Reemah Alhebshi, et al.
Frontiers in Computer Science (2025) Vol. 7
Open Access
MicrobeNet: An Automated Approach for Microbe Organisms Prediction Using Feature Fusion and Weighted CNN Model
Khaled Alnowaiser
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
A robust approach for multi-type classification of brain tumor using deep feature fusion
Wenna Chen, Xinghua Tan, Jincan Zhang, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 4
A secure hybrid deep learning framework for brain tumor detection and classification
Sandeep Kumar Mathivanan, Saravanan Srinivasan, Manjula Sanjay Koti, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Brain Tumor Detection Using 3D-UNet Segmentation Features and Hybrid Machine Learning Model
Bhargav Mallampati, Abid Ishaq, Furqan Rustam, et al.
IEEE Access (2023) Vol. 11, pp. 135020-135034
Open Access | Times Cited: 11
Robust brain tumor classification by fusion of deep learning and channel-wise attention mode approach
Balamurugan A.G, Saravanan Srinivasan, D Preethi, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
An improved skin lesion detection solution using multi-step preprocessing features and NASNet transfer learning model
Abdulaziz Altamimi, Fadwa Alrowais, Hanen Karamti, et al.
Image and Vision Computing (2024) Vol. 144, pp. 104969-104969
Closed Access | Times Cited: 2
Diagnosis of Forme Fruste Keratoconus Using Corvis ST Sequences with Digital Image Correlation and Machine Learning
Lanting Yang, Kehan Qi, Peipei Zhang, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 429-429
Open Access | Times Cited: 2
Enhancing fall prediction in the elderly people using LBP features and transfer learning model
Muhammad Umer, Aisha Ahmed Alarfaj, Ebtisam Alabdulqader, et al.
Image and Vision Computing (2024) Vol. 145, pp. 104992-104992
Closed Access | Times Cited: 1
Brain Tumor Recognition Using Artificial Intelligence Neural-Networks (BRAIN): A Cost-Effective Clean-Energy Platform
Muhammad S Ghauri, Jen‐Yeu Wang, Akshay J Reddy, et al.
Neuroglia (2024) Vol. 5, Iss. 2, pp. 105-118
Open Access | Times Cited: 1
Selective feature-based ovarian cancer prediction using MobileNet and explainable AI to manage women healthcare
Nouf Abdullah Almujally, Abdulrahman Alzahrani, A. Hakeem, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Image Processing-based Resource-Efficient Transfer Learning Approach for Cancer Detection Employing Local Binary Pattern Features
Ebtisam Alabdulqader, Muhammad Umer, Khaled Alnowaiser, et al.
Mobile Networks and Applications (2024)
Closed Access | Times Cited: 1
A systematic literature review of neuroimaging coupled with machine learning approaches for diagnosis of attention deficit hyperactivity disorder
Imran Ashraf, Seungpil Jung, Soojung Hur, et al.
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Medical Image Classification Using Deep Learning for Brain Tumors Detection: An Overview
Hiba A. Alahmad, Ghaida A. Al–Suhail
Lecture notes in networks and systems (2024), pp. 194-207
Closed Access | Times Cited: 1
Hepatocellular Carcinoma Recognition from Ultrasound Images by Fusing Convolutional Neural Networks at Decision Level
Delia Mitrea, Raluca Brehar, Cristinel Mihai Mocan, et al.
(2023), pp. 238-243
Closed Access | Times Cited: 3
AG-MSTLN-EL: A Multi-source Transfer Learning Approach to Brain Tumor Detection
Shivaprasad Biradar, Virupakshappa
Deleted Journal (2024)
Closed Access
FL-SiCNN: An improved brain tumor diagnosis using siamese convolutional neural network in a peer-to-peer federated learning approach
Ameer N. Onaizah, Yuanqing Xia, Khurram Hussain
Alexandria Engineering Journal (2024) Vol. 114, pp. 1-11
Open Access
Distance Analysis and Dimensionality Reduction using PCA on Brain Tumour MRI Scans
Aniket Jhariya, Dhvani Parekh, Joshua Lobo, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access
Pancreatic Tumor Recognition from CT Images through Advanced Deep Learning Techniques
Delia Mitrea, Raluca Brehar, Razvan Itu, et al.
2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) (2024), pp. 1-6
Closed Access
Editorial for Special Issue “Brain Tumor Microenvironment”
Gianluca Trevisi, Annunziato Mangiola
Cancers (2024) Vol. 16, Iss. 22, pp. 3864-3864
Open Access
Novel approach for Arabic fake news classification using embedding from large language features with CNN-LSTM ensemble model and explainable AI
Omar Aboulola, Muhammad Umer
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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