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 Tumor Detection and Classification Using PSO and Convolutional Neural Network
Muhammad Junaid Ali, Jamal Hussain Shah, Muhammad Attique Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 3, pp. 4501-4518
Open Access | Times Cited: 14

Showing 14 citing articles:

Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm
Muhammad Attique Khan, Awais Khan, Majed Alhaisoni, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 2, pp. 572-587
Closed Access | Times Cited: 80

Advanced Deep Learning Approaches for Accurate Brain Tumor Classification in Medical Imaging
Amena Mahmoud, Nancy Awadallah Awad, Najah Alsubaie, et al.
Symmetry (2023) Vol. 15, Iss. 3, pp. 571-571
Open Access | Times Cited: 19

A deep learning predictive model for public health concerns and hesitancy toward the COVID-19 vaccines
Heba Mamdouh Farghaly, Mamdouh M. Gomaa, Enas Elgeldawi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 12

Quantum‐inspired hybrid algorithm for image classification and segmentation: Q‐Means++ max‐cut method
Suman Kumar Roy, Bhawana Rudra
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 1
Closed Access | Times Cited: 2

Enhanced Karyotyping Through Deep Learning-Assisted Segmentation and Classification of Chromosomal Cells
Saranya Sekar, Lakshmi Sankaran
Traitement du signal (2024) Vol. 41, Iss. 1, pp. 477-484
Open Access | Times Cited: 1

MAEU‐NET: A novel supervised architecture for brain tumor segmentation
Sangeet Kumar, Birendra Biswal
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 2
Closed Access | Times Cited: 3

Optimized Brain Tumor Detection and Classification on Efficient Net B3
Satyaki Saha, Pradip Kumar Mandal, Meghna Bardhan, et al.
Studies in autonomic, data-driven and industrial computing (2024), pp. 399-410
Closed Access

Transformation of MRI Images to Three-Level Color Spaces for Brain Tumor Classification Using Deep-Net
Fadl Dahan
Intelligent Automation & Soft Computing (2024) Vol. 39, Iss. 2, pp. 381-395
Open Access

<i>L</i>-Smooth SVM with Distributed Adaptive Proximal Stochastic Gradient Descent with Momentum for Fast Brain Tumor Detection
Chuandong Qin, Yu Cao, Liqun Meng
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 2, pp. 1975-1994
Open Access

Brain Tumor Classification using Transfer Learning and Ensemble Approach
Jishan Shaikh, Kaina Shaikh
Journal of Soft Computing Paradigm (2024) Vol. 6, Iss. 3, pp. 284-298
Open 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

TDACVO: EXPONENTIAL TASMANIAN DEVIL ANTI-CORONAVIRUS OPTIMIZATION-ASSISTED DEEP MODEL FOR MULTI-LEVEL BRAIN TUMOR CATEGORIZATION
C. P. Jetlin, L. Sherly Puspha Annabel
Journal of Mechanics in Medicine and Biology (2023) Vol. 24, Iss. 04
Closed Access | Times Cited: 1

Advanced Deep Learning-Based Methods for Clinical Assessment of Brain Tumours
Shivam Pandey, Ekta Bhardwaj, Shikha Gupta, et al.
(2023), pp. 1-5
Closed Access

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