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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:

WBM-DLNets: Wrapper-Based Metaheuristic Deep Learning Networks Feature Optimization for Enhancing Brain Tumor Detection
Muhammad Umair Ali, Shaik Javeed Hussain, Amad Zafar, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 475-475
Open Access | Times Cited: 23

Showing 23 citing articles:

A novel Swin transformer approach utilizing residual multi-layer perceptron for diagnosing brain tumors in MRI images
İshak Paçal
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 9, pp. 3579-3597
Open Access | Times Cited: 47
Advancing multiple sclerosis diagnosis through an innovative hybrid AI framework incorporating Multi-view ResNet and quantum RIME-inspired metaheuristics
Mohamed G. Khattap, Mohammed Sallah, Abdelghani Dahou, et al.
Ain Shams Engineering Journal (2025) Vol. 16, Iss. 2, pp. 103241-103241
Closed Access | Times Cited: 1
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
Atom search optimization: a systematic review of current variants and applications
Sylvère Mugemanyi, Zhaoyang Qu, François Xavier Rugema, et al.
Knowledge and Information Systems (2025)
Closed Access
Improving Brain Tumor Classification: An Approach Integrating Pre-Trained CNN Models and Machine Learning Algorithms
Mohamed R. Shoaib, Jun Zhao, Heba M. Emara, et al.
Heliyon (2024), pp. e33471-e33471
Open Access | Times Cited: 3
Cross prior Bayesian attention with correlated inception and residual learning for brain tumor classification using MR images (CB-CIRL Net)
B. Vijayalakshmi, Sam Anand
Journal of Neuroscience Methods (2025), pp. 110392-110392
Closed Access
OptEF-BCI: An Optimization-Based Hybrid EEG and fNIRS–Brain Computer Interface
Muhammad Umair Ali, Kwang Su Kim, Karam Dad Kallu, et al.
Bioengineering (2023) Vol. 10, Iss. 5, pp. 608-608
Open Access | Times Cited: 7
Enhancing Skin Lesion Detection: A Multistage Multiclass Convolutional Neural Network-Based Framework
Muhammad Umair Ali, Majdi Khalid, Hanan Alshanbari, et al.
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1430-1430
Open Access | Times Cited: 7
An Adaptation of Hybrid Binary Optimization Algorithms for Medical Image Feature Selection in Neural Network for Classification of Breast Cancer
Olaide N. Oyelade, Enesi Femi Aminu, Hui Wang, et al.
Neurocomputing (2024), pp. 129018-129018
Closed Access | Times Cited: 2
Enhanced Magnetic Resonance Imaging-Based Brain Tumor Classification with a Hybrid Swin Transformer and ResNet50V2 Model
Abeer Fayez Al Bataineh, Khalid M.O. Nahar, Hayel Khafajeh, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10154-10154
Open Access | Times Cited: 1
BU-DLNet: Breast Ultrasonography-Based Cancer Detection Using Deep-Learning Network Selection and Feature Optimization
Amad Zafar, Jawad Tanveer, Muhammad Umair Ali, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 825-825
Open Access | Times Cited: 2
Survey of Brain Tumour Detection and Prediction Using Machine Learning, Deep Learning and Metaheuristic Techniques
Tanisha Verma, Aditya Singh, Lakshya Mittal, et al.
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2024), pp. 1-5
Closed Access
BT Detection Using Improved Whale Optimization and Convolutional Neural Networks
P. Elango, Arun Arthanareeswaran
Revue d intelligence artificielle (2024) Vol. 38, Iss. 3, pp. 815-823
Open Access
Optimized brain tumor analysis in FLAIR-MRI LGG images: leveraging transfer learning and optimization for enhanced diagnosis and localization

International Journal of Advanced Technology and Engineering Exploration (2024) Vol. 11, Iss. 116
Open Access
EGDP based feature extraction and deep convolutional belief network for brain tumor detection using MRI image
T Loganayagi, Pooja Panapana, Ganji Ramanjaiah, et al.
Network Computation in Neural Systems (2024), pp. 1-31
Closed Access
Research on the application of deep learning algorithms in robot control
Yuan Hui
AIP conference proceedings (2024) Vol. 3131, pp. 020038-020038
Closed Access
An explainable ensemble approach for advanced brain tumor classification applying Dual-GAN mechanism and feature extraction techniques over highly imbalanced data
Priyanka Roy, Fahim Mohammad Sadique Srijon, Pankaj Bhowmik
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0310748-e0310748
Open Access
Innovative brain tumor detection: Stacked random support vector-based hybrid gazelle coati algorithm
G. Dharani Devi, Neeraj Kumar, J. Manikandan, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107156-107156
Closed Access
Automated Brain Tumor Detection From Magnetic Resonance Imaging Using AI-PSO-Based Deep Learning Models
Nilamadhab Mishra, Abhishek Mamidi, Saroja Kumar Rout, et al.
Advances in computational intelligence and robotics book series (2024), pp. 283-308
Closed Access
A Study on Brain Tumor in Various Fields using Machine Learning
E Pushparaj., A. Arun
(2023), pp. 1885-1891
Closed Access | Times Cited: 1
Advancing Brain Tumour Detection: Transfer Learning-Based Approach Fused with Squeeze-and-Excitation (SE) Attention Mechanism in Computer Vision
Md Sakib Hossain Shovon, Zafrin Sultana, Md. Abdul Hamid
Studies in big data (2024), pp. 25-40
Closed Access
Efficient Brain Tumor Classification Using Filter-Based Deep Feature Selection Methodology
S. Kar, Utathya Aich, Pawan Kumar Singh
SN Computer Science (2024) Vol. 5, Iss. 8
Closed Access
Creating a deep learning model using a Swin Transformer and tree growth optimisation to classify brain tumour
K Sankar, V. Gokula Krishnan, Saurav Kumar, et al.
Review of Computer Engineering Research (2023) Vol. 10, Iss. 3, pp. 110-121
Open Access
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