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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:

Automated Segmentation of Brain Tumor MRI Images Using Deep Learning
Surendran Rajendran, Suresh Kumar R, Tamilvizhi Thanarajan, et al.
IEEE Access (2023) Vol. 11, pp. 64758-64768
Open Access | Times Cited: 37

Showing 26-50 of 37 citing articles:

Survey on Segmentation of Brain Abnormalities in MRI Scan Images
Idrees Ibraheem Ahmed, Omar M. Hussien Al Okashi
(2024) Vol. 20, pp. 176-184
Closed Access
Recent Trends in Brain Tumor Detection Using Deep Learning Based Diagnostic Models Assisted with Medical Imaging
Salil Batra, Gursharan Singh, Gouri Shankar Chakraborty, et al.
(2024), pp. 186-191
Closed Access
Brain Tumor MRI Segmentation Using Deep Instance Segmentation with Bioinspired Optimization Algorithm
Prasanalakshmi Balaji, Linda Elzubir Gasm Alsid, Sushruta Mishra, et al.
Lecture notes in networks and systems (2024), pp. 57-69
Closed Access
Automated brain tumor recognition using equilibrium optimizer with deep learning approach on MRI images
Mahmoud Ragab, Iyad Katib, Sanaa Sharaf, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Classification of Hidden Patterns in Cancer Genome using Deep Learning
K S Balamurugan, Sundara Rajulu Navaneethakrishnan, Senduru Srinivasulu, et al.
(2024), pp. 710-715
Closed Access
Leveraging transfer learning-driven convolutional neural network-based semantic segmentation model for medical image analysis using MRI images
Amal Alshardan, Nuha Alruwais, Hamed Alqahtani, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Vitamin Deficiency Detection using Image Processing through Dermatological Symptoms
Sagar Janokar, Nimish Somani, Pratima R. Solanki, et al.
(2024), pp. 1-6
Closed Access
Review on deep learning based image segmentation for brain tumor detection
Upadhyay Sachin, Jamgade Nikita, M. Pathak Puruvas, et al.
i-manager’s Journal on Future Engineering and Technology (2024) Vol. 20, Iss. 1, pp. 64-64
Closed Access
Early Brain Tumor Prediction Using Hybrid Optimized Fuzzy Clustering-Active Contour Segmentation Based Heuristic Deep Learning Model
Manoj Kumar Pandey, Anil Kumar, Saurabh Bhardwaj
Optoelectronics Instrumentation and Data Processing (2024) Vol. 60, Iss. 5, pp. 659-673
Closed Access
Automated Brain Tumour Detection and Classification Using Equilibrium Optimization Algorithm with Deep Learning Model
Asma Parveen A, T Kamalakannan
International Journal of Electronics and Communication Engineering (2023) Vol. 10, Iss. 12, pp. 102-111
Open Access
Brain Tumor Classification Based on Deep Learning Algorithms: A Systematic Literature Review
Muhammad Rifqi Ramadhani, Indah Soesanti, Indriana Hidayah
(2023), pp. 1-8
Closed Access
Enhanced Brain Tumor Segmentation and Size Estimation in MRI Samples using Hybrid Optimization
Ayesha Agrawal, Vinod Maan
Data & Metadata (2023) Vol. 2, pp. 408-408
Closed Access
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