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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 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

Showing 26-50 of 69 citing articles:

Utilizing Deep Feature Fusion for Automatic Leukemia Classification: An Internet of Medical Things-Enabled Deep Learning Framework
Md. Manowarul Islam, Habibur Rahman Rifat, M. Shahid, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4420-4420
Open Access | Times Cited: 3
Brain tumor detection with mRMR-based multimodal fusion of deep learning from MR images using Grad-CAM
Feyza Altunbey Ozbay, Erdal Özbay
Iran Journal of Computer Science (2023) Vol. 6, Iss. 3, pp. 245-259
Closed Access | Times Cited: 10
Automated Identification of Insect Pests: A Deep Transfer Learning Approach Using ResNet
Christine Dewi, Henoch Juli Christanto, Guowei Dai
Acadlore Transactions on AI and Machine Learning (2023) Vol. 2, Iss. 4, pp. 194-203
Open Access | Times Cited: 7
Advancements in traditional machine learning techniques for detection and diagnosis of fatal cancer types: Comprehensive review of biomedical imaging datasets
Hari Mohan, Joon Yoo, Syed Atif Moqurrab, et al.
Measurement (2023) Vol. 225, pp. 114059-114059
Closed Access | Times Cited: 5
Novel multiple pooling and local phase quantization stable feature extraction techniques for automated classification of brain infarcts
Şengül Doğan, Prabal Datta Barua, Mehmet Bayğın, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 3, pp. 815-828
Closed Access | Times Cited: 9
Advancements in brain tumor identification: Integrating synthetic GANs with federated-CNNs in medical imaging analysis
Nasser Alalwan, Ayed Alwadain, Ahmed Ibrahim Alzahrani, et al.
Alexandria Engineering Journal (2024) Vol. 105, pp. 105-119
Open Access | Times Cited: 1
Convolutional laplacian gaussian pyramid approach multimodal medical image fusion
Gude Ramarao, Chinni Hima Bindu, T. S. N. Murthy
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Detection of Brain Tumors from MRI Images using Convolutional Neural Networks
Ma. Sheila A. Magboo, Vincent Peter C. Magboo
2021 4th International Conference of Computer and Informatics Engineering (IC2IE) (2022), pp. 325-330
Closed Access | Times Cited: 8
Automated Brain Tumour Detection and Classification using Deep Features and Bayesian Optimised Classifiers
S. Arun Kumar, S. Sasikala
Current Medical Imaging Formerly Current Medical Imaging Reviews (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 4
PrinciResNet Brain Tumor Classification Technique for Multimodal Input-level Fusion Network
M. Padma Usha, G. Kannan, Sai Akshay. S, et al.
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 1075-1089
Open Access | Times Cited: 1
NeuroInsight: A Revolutionary Self-Adaptive Framework for Precise Brain Tumor Classification in Medical ImagingUsing Adaptive Deep Learning
Sonia Arora, Gouri Sankar Mishra
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Optimizing Brain Tumor Classification: A Comprehensive Study on Transfer Learning and Imbalance Handling in Deep Learning Models
Raza Imam, Mohammed Talha Alam
Lecture notes in computer science (2024), pp. 74-88
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
Brain Tumor Malignancy Prediction Using Machine Learning Techniques
B. Seethalakshmi
Irish Interdisciplinary Journal of Science & Research (2024) Vol. 08, Iss. 02, pp. 86-93
Open Access | Times Cited: 1
Detection and Segmentation of Glioma Tumors Utilizing a UNet Convolutional Neural Network Approach with Non-Subsampled Shearlet Transform
M. Tamilarasi, S. Kumarganesh, K. Martin Sagayam, et al.
Journal of Computational Biology (2024) Vol. 31, Iss. 8, pp. 757-768
Closed Access | Times Cited: 1
Enhanced Detection and Segmentation of Brain Tumors Using a Dense BW‐CNN Approach
Sangeeta Kakarwal, Rahul Mapari, Anuj Kumar Jain, et al.
Journal of Engineering (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Advanced imaging technique-based brain tumor segmentation using ResNET-50 CNN
Sajjad Hussain, Tayyaba Naz, Muhammad Shakeel, et al.
AIP conference proceedings (2024) Vol. 3161, pp. 020156-020156
Closed Access | Times Cited: 1
Advancements in brain tumor analysis: a comprehensive review of machine learning, hybrid deep learning, and transfer learning approaches for MRI-based classification and segmentation
Surajit Das, Rajat Subhra Goswami
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Building an Acute Ischemic Stroke Identification Model Using a Deep Learning Technique
Nasser Ali Aljarallah, Ashit Kumar Dutta, Abdul Rahaman Wahab Sait, et al.
Deleted Journal (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 3
Deep Learning Framework using CNN for Brain Tumor Classification
Neha Bhardwaj, Meenakshi Sood, SS Gill
(2022), pp. 1-5
Closed Access | Times Cited: 5
A Novel Deep Learning Based Framework for Cardiac Arrest Prediction
Nargis Fatima, Aun Irtaza, Rehan Ali
(2023), pp. 1-6
Closed Access | Times Cited: 2
MEHW‐SVM multi‐kernel approach for improved brain tumour classification
G. Dheepak, J. Anita Christaline, D. Vaishali
IET Image Processing (2023) Vol. 18, Iss. 4, pp. 856-874
Open Access | Times Cited: 2
A Hybrid Feature Selection Framework Using Opposition-Based Harmony Search and Manta Ray Foraging Optimization
Thatikonda Somashekar, Srinivas Jagirdar
Journal of Advances in Information Technology (2024), Iss. 8, pp. 982-990
Open Access
Brain tumors classification using deep models and transfer learning
Samira Mavaddati
Multimedia Tools and Applications (2024)
Closed Access
Interpretable machine learning identifies metabolites associated with glomerular filtration rate in type 2 diabetes patients
Tian-Feng An, Zhipeng Zhang, Jun-Tang Xue, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access

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