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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 1-25 of 37 citing articles:

Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images
K. Divya Lakshmi, Sibi Amaran, Subbulakshmi Ganesan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Developments in Brain Tumor Segmentation Using MRI: Deep Learning Insights and Future Perspectives
Shahid Karim, Geng Tong, Yiting Yu, et al.
IEEE Access (2024) Vol. 12, pp. 26875-26896
Open Access | Times Cited: 11
Enhanced swin transformer based tuberculosis classification with segmentation using chest X-ray
P. Visu, V Sathiya, P. Ajitha, et al.
Journal of X-Ray Science and Technology (2025)
Closed Access | Times Cited: 1
Advanced Deep Learning and Machine Learning Techniques for MRI Brain Tumor Analysis: A Review
Rim Missaoui, Wided Hechkel, Wajdi Saadaoui, et al.
Sensors (2025) Vol. 25, Iss. 9, pp. 2746-2746
Open Access | Times Cited: 1
An efficient colorectal cancer detection network using atrous convolution with coordinate attention transformer and histopathological images
Majdi Khalid, S. Deivasigamani, V Sathiya, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
SPBTGNS: Design of an Efficient Model for Survival Prediction in Brain Tumour Patients using Generative Adversarial Network with Neural Architectural Search Operations
Ruqsar Zaitoon, Sachi Nandan Mohanty, Deepthi Godavarthi, et al.
IEEE Access (2024) Vol. 12, pp. 140847-140869
Open Access | Times Cited: 6
U-Net++DSM: Improved U-Net++ for Brain Tumor Segmentation With Deep Supervision Mechanism
Kittipol Wisaeng
IEEE Access (2023) Vol. 11, pp. 132268-132285
Open Access | Times Cited: 11
Advancements in deep learning techniques for brain tumor segmentation: A survey
C. Umarani, Shantappa G. Gollagi, Shridhar Allagi, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101576-101576
Open Access | Times Cited: 4
Neutrosophic Morphological Segmented Gaussian Regressive Deep Convolutional Network for MRI Images Brain Tumor Classification
Gajarajan Mohanapriya, D Aarthi, S. Muthukumar, et al.
Sensing and Imaging (2025) Vol. 26, Iss. 1
Closed Access
Lung disease classification in chest X-ray images using optimal cross stage partial bidirectional long short term memory
T. Babu, Ganesh Kumar, L Kartheesan, et al.
Journal of X-Ray Science and Technology (2025)
Open Access
Comprehensive Survey on Computational Techniques for Brain Tumor Detection: Past, Present and Future
Priyanka Datta, Rajesh Rohilla
Archives of Computational Methods in Engineering (2025)
Closed Access
A Comprehensive Framework for Brain MRI Analysis: Classification, Segmentation, and Survival Prediction
Bh V. S. Ramakrishnam Raju, Mohan Satya Durga Jonnala, Jaswanth Dasari, et al.
Smart innovation, systems and technologies (2025), pp. 593-607
Closed Access
Target Driven Autoencoder: A Supervised Learning Approach for Tumor Segmentation
Abhishek Das, Saumendra Kumar Mohapatra, Rakesh Kumar Pattanaik, et al.
(2024) Vol. 33, pp. 273-277
Closed Access | Times Cited: 3
RNN-CNN Based Cancer Prediction Model for Gene Expression
Tanima Thakur, Isha Batra, Arun Malik, et al.
IEEE Access (2023) Vol. 11, pp. 131024-131044
Open Access | Times Cited: 8
Tumor Segmentation and Classification Using Machine Learning Approaches
Thanh Chi Phan, Le Thanh Hieu
International Journal of Data Informatics and Intelligent Computing (2024) Vol. 3, Iss. 1, pp. 1-11
Open Access | Times Cited: 2
Segmentation and identification of brain tumour in MRI images using PG-OneShot learning CNN model
Azmat Ali, Yulin Wang, Xiaochuan Shi
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 81361-81382
Closed Access | Times Cited: 2
A Systematic Review on Medical Image Segmentation using Deep Learning
Mahdiyeh Rahmani, Ali Kazemi, Maryam Jalili Aziz, et al.
Scientia Iranica (2024)
Open Access | Times Cited: 2
Enhancing Healthcare Through AI Deep Learning: A Human-Centric IoT Advisory System Cloud
S. Sridharan, S. Deivasigamani, R. Rajesh, et al.
(2024), pp. 346-350
Closed Access | Times Cited: 2
Brain Tumor Detection and Segmentation using CNN and Optimised Edge Features
S Kanagamalliga, S Rajappriadharshine
(2024)
Closed Access | Times Cited: 1
Exploring Deep Learning Techniques for MRI Brain Tumor Image Segmentation: A Survey
R Rohith, Muthu Dayalan, M Meena, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-5
Closed Access | Times Cited: 1
Brain Tumor Segmentation Using Generative Adversarial Networks
Abid Ali, Muhammad Sharif, Ch. Muhammad Shahzad Faisal, et al.
IEEE Access (2024) Vol. 12, pp. 183525-183541
Open Access | Times Cited: 1
Brain Tumor Segmentation on MRI Images Using 2D ResNeXt
Rudiyanto Rudiyanto, I Ketut Eddy Purnama, Reza Fuad Rachmadi
(2024) Vol. 125, pp. 361-366
Closed Access | Times Cited: 1
DieT Transformer Model with PCA-ADE Integration for Advanced Multi-Class Brain Tumor Classification
Mohammad Amin, Khalid M.O. Nahar, Hasan Gharaibeh, et al.
Intelligence-Based Medicine (2024), pp. 100192-100192
Open Access | Times Cited: 1
Parallel Convolutional Neural Network for Brain Tumor Using MR Images
V Lithika, M.K.Kavitha Devi
(2024), pp. 1-5
Closed Access
Deep Ensemble Feature Extraction based Classification of Brain Tumor using MRI Images
Srijita Bandopadhyay, Rahul Shaw, Joydeep Roy Chowdhury, et al.
(2024), pp. 1-5
Closed Access
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