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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:

Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches
Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, et al.
Computers (2022) Vol. 11, Iss. 1, pp. 10-10
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Brain Tumor Classification Using Dense Efficient-Net
Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, et al.
Axioms (2022) Vol. 11, Iss. 1, pp. 34-34
Open Access | Times Cited: 142
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 86
An efficient automatic brain tumor classification using optimized hybrid deep neural network
S. Shanthi, S. Saradha, J.A. Smitha, et al.
International Journal of Intelligent Networks (2022) Vol. 3, pp. 188-196
Open Access | Times Cited: 45
Medical Image Classifications Using Convolutional Neural Networks: A Survey of Current Methods and Statistical Modeling of the Literature
Foziya Ahmed Mohammed, Kula Kekeba Tune, Beakal Gizachew Assefa, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 699-736
Open Access | Times Cited: 12
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: 10
Development a Novel Hybrid Deep Learning-Model for Brain Tumor Classification and Automated Diagnosis
Shubhi Gupta, Vandna Bansla, Sandeep Kumar, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 9
A Novel Approach for Classifying Brain Tumours Combining a SqueezeNet Model with SVM and Fine-Tuning
Mohammed Rasool, Nor Azman Ismail, Arafat Al-Dhaqm, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 149-149
Open Access | Times Cited: 32
Emerging Trends in Fast MRI Using Deep-Learning Reconstruction on Undersampled k-Space Data: A Systematic Review
Dilbag Singh, Anmol Monga, Hector Lise de Moura, et al.
Bioengineering (2023) Vol. 10, Iss. 9, pp. 1012-1012
Open Access | Times Cited: 22
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
Brain tumour detection using machine and deep learning: a systematic review
Novsheena Rasool, Javaid Iqbal Bhat
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6
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: 16
A review on optimization techniques for medical image analysis
Palwinder Kaur, Rajesh Kumar Singh
Concurrency and Computation Practice and Experience (2022) Vol. 35, Iss. 1
Closed Access | Times Cited: 22
A Deep Learning-Based Framework for Uncertainty Quantification in Medical Imaging Using the DropWeak Technique: An Empirical Study with Baresnet
Mehmet Akif Çifçi
Diagnostics (2023) Vol. 13, Iss. 4, pp. 800-800
Open Access | Times Cited: 12
Uncertain-CAM: Uncertainty-Based Ensemble Machine Voting for Improved COVID-19 CXR Classification and Explainability
Waleed Aldhahi, Sanghoon Sull
Diagnostics (2023) Vol. 13, Iss. 3, pp. 441-441
Open Access | Times Cited: 11
From black box AI to XAI in neuro-oncology: a survey on MRI-based tumor detection
Asmita Dhiman, Praveen Mittal
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
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
Recent Advances in Biomedical Imaging for Cancer Diagnosis and Therapy
James C. L. Chow
Biological and medical physics series (2025), pp. 147-180
Closed Access
Advancements in Brain Tumour Analysis: A Review of Machine Learning, Deep Learning, Image Processing, and Explainable AI Techniques
S. Venu Gopal, Ch. Kavitha
Operations Research Forum (2025) Vol. 6, Iss. 2
Closed Access
An Adaptive Eroded Deep Convolutional neural network for brain image segmentation and classification using Inception ResnetV2
G.S. Sunsuhi, S. Albin Jose
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103863-103863
Closed Access | Times Cited: 14
Hybrid Feature Extraction Approach for Robust Brain Tumor Classification: HOG, GLCM, and Artificial Neural Network
Nowshad Hasan, Mohammad Faisal Ahmed, Mohammad Abrar Nasif, et al.
(2024), pp. 1292-1297
Closed Access | Times Cited: 2
Predictive Modeling of Future Trends in US Healthcare Data and Outcomes
Joseph Kobi, Amida Nchaw Nchaw, Brian Otieno
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 581-592
Open Access | Times Cited: 2
Optimization empowered hierarchical residual VGGNet19 network for multi-class brain tumour classification
P. Rama Krishna, V. V. K. D. V. Prasad, B. T. Krishna
Multimedia Tools and Applications (2022) Vol. 82, Iss. 11, pp. 16691-16716
Closed Access | Times Cited: 10
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
Hybrid Adam Sewing Training Optimization Enabled Deep Learning for Brain Tumor Segmentation and Classification using MRI Images
Pravin Shivaji Bidkar, Ram Kumar, Abhijyoti Ghosh
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 5, pp. 1921-1936
Closed Access | Times Cited: 4
Availability optimization of power generating units used in sewage treatment plants using metaheuristic techniques
Monika Saini, Ashish Kumar, Dinesh Kumar Saini, et al.
PLoS ONE (2023) Vol. 18, Iss. 5, pp. e0284848-e0284848
Open Access | Times Cited: 4
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