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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:

A Systematic Approach for MRI Brain Tumor Localization and Segmentation Using Deep Learning and Active Contouring
Shanaka Ramesh Gunasekara, H. N. T. K. Kaldera, Maheshi B. Dissanayake
Journal of Healthcare Engineering (2021) Vol. 2021, pp. 1-13
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Accurate brain tumor detection using deep convolutional neural network
Md. Saikat Islam Khan, Anichur Rahman, Tanoy Debnath, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 4733-4745
Open Access | Times Cited: 165
Brain Tumor Detection Based on Deep Learning Approaches and Magnetic Resonance Imaging
Akmalbek Abdusalomov, Mukhriddin Mukhiddinov, Taeg Keun Whangbo
Cancers (2023) Vol. 15, Iss. 16, pp. 4172-4172
Open Access | Times Cited: 135
A Comprehensive Review of Indoor/Outdoor Localization Solutions in IoT era: Research Challenges and Future Perspectives
Safar Maghdid Asaad, Halgurd S. Maghdid
Computer Networks (2022) Vol. 212, pp. 109041-109041
Open Access | Times Cited: 111
A Novel Deep Learning Method for Recognition and Classification of Brain Tumors from MRI Images
Momina Masood, Tahira Nazir, Marriam Nawaz, et al.
Diagnostics (2021) Vol. 11, Iss. 5, pp. 744-744
Open Access | Times Cited: 104
Brain tumor segmentation and classification using hybrid deep CNN with LuNetClassifier
T. Balamurugan, E. Gnanamanoharan
Neural Computing and Applications (2022) Vol. 35, Iss. 6, pp. 4739-4753
Closed Access | Times Cited: 49
A Hybrid CNN-GLCM Classifier For Detection And Grade Classification Of Brain Tumor
Akila Gurunathan, K. Batri
Brain Imaging and Behavior (2022) Vol. 16, Iss. 3, pp. 1410-1427
Open Access | Times Cited: 39
Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models
Malliga Subramanian, Jaehyuk Cho, V E Sathishkumar, et al.
IEEE Access (2023) Vol. 11, pp. 10336-10354
Open Access | Times Cited: 34
Automated Brain Tumor Identification in Biomedical Radiology Images: A Multi-Model Ensemble Deep Learning Approach
Sarfaraz Natha, Umm e Laila, Ibrahim Ahmed Gashim, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2210-2210
Open Access | Times Cited: 7
Brain Image Segmentation in Recent Years: A Narrative Review
Ali Fawzi, Anusha Achuthan, Bahari Belaton
Brain Sciences (2021) Vol. 11, Iss. 8, pp. 1055-1055
Open Access | Times Cited: 51
Enhanced performance of Dark-Nets for brain tumor classification and segmentation using colormap-based superpixel techniques
Sakshi Ahuja, Bijaya Ketan Panigrahi, Tapan Kumar Gandhi
Machine Learning with Applications (2021) Vol. 7, pp. 100212-100212
Open Access | Times Cited: 45
Clever Hans effect found in a widely used brain tumour MRI dataset
D.I. Wallis, Irène Buvat
Medical Image Analysis (2022) Vol. 77, pp. 102368-102368
Open Access | Times Cited: 29
Brain tumor segmentation by cascaded multiscale multitask learning framework based on feature aggregation
Zahra Sobhaninia, Nader Karimi, Pejman Khadivi, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104834-104834
Closed Access | Times Cited: 18
CorrDiff: Corrective Diffusion Model for Accurate MRI Brain Tumor Segmentation
Wenqing Li, Wenhui Huang, Yuanjie Zheng
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1587-1598
Closed Access | Times Cited: 6
RIBM3DU‐Net: Glioma tumour substructures segmentation in magnetic resonance images using residual‐inception block with modified 3D U‐Net architecture
Syedsafi Shajahan, P. Sriramakrishnan, T. Kalaiselvi
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 2
Closed Access | Times Cited: 5
Brain tumor detection and classification using deep learning algorithms: A survey
Karri Chiranjeevi, D. Victosudhageorge
AIP conference proceedings (2025) Vol. 3162, pp. 020021-020021
Closed Access
A systematic review on deep learning implementation in brain tumor segmentation, classification and prediction
Muhammad Adeel Abid, Kashif Munir
Multimedia Tools and Applications (2025)
Closed Access
PEDI: Towards Efficient Pathway Enrichment and Data Integration in Bioinformatics for Healthcare Using Deep Learning Optimisation
Hariprasath Manoharan, Shitharth Selvarajan
Biomedical Engineering and Computational Biology (2025) Vol. 16
Open Access
Multimodal AI and Large Language Models for Orthopantomography Radiology Report Generation and Q&A
Chirath Dasanayaka, Kanishka Dandeniya, Maheshi B. Dissanayake, et al.
Applied System Innovation (2025) Vol. 8, Iss. 2, pp. 39-39
Open Access
In Situ Active Contour-Based Segmentation and Dimensional Analysis of Part Features in Additive Manufacturing
Tushar Saini, Panos S. Shiakolas
Journal of Manufacturing and Materials Processing (2025) Vol. 9, Iss. 3, pp. 102-102
Open Access
Classifying and Localizing Abnormalities in Brain MRI Using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism and Convolutional Auto-Encoder
Syed Muhammad Ahmed Hassan Shah, Asad Ullah, Jawaid Iqbal, et al.
IEEE Access (2023) Vol. 11, pp. 75528-75545
Open Access | Times Cited: 15
Performance Analysis of Brain Tumor Classification on MRI images using Pretrained Deep Learning Models
R Manjunath, Yashaswini Gowda N, H M Manu, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 4
Combining natural and artificial intelligence for robust automatic anatomy segmentation: Application in neck and thorax auto‐contouring
Jayaram K. Udupa, Tiange Liu, Chao Jin, et al.
Medical Physics (2022) Vol. 49, Iss. 11, pp. 7118-7149
Open Access | Times Cited: 19
(Retracted) Deep belief network-based image processing for local directional segmentation in brain tumor detection
Ruchi Doshi, Kamal Kant Hiran, Bhanu Prakash Doppala, et al.
Journal of Electronic Imaging (2023) Vol. 32, Iss. 06
Open Access | Times Cited: 11
Unfolding Explainable AI for Brain Tumor Segmentation
Muhammad Hassan, Ahmed Ameen Fateh, Jieqiong Lin, et al.
Neurocomputing (2024) Vol. 599, pp. 128058-128058
Open Access | Times Cited: 3
A state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture
Zeeshan Shaukat, Qurat ul Ain Farooq, Shanshan Tu, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 16
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