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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:

Hybrid Optimization Algorithm Enabled Deep Learning Approach Brain Tumor Segmentation and Classification Using MRI
S. Deepa, J. Janet, S. Sumathi, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 847-868
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm
Ramin Ranjbarzadeh, Payam Zarbakhsh, Annalina Caputo, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107723-107723
Open Access | Times Cited: 44
A Review of Recent Advances in Brain Tumor Diagnosis Based on AI-Based Classification
Reham Kaifi
Diagnostics (2023) Vol. 13, Iss. 18, pp. 3007-3007
Open Access | Times Cited: 31
Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology
Carla Pitarch, Gülnur Ungan, Margarida Julià‐Sapé, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 300-300
Open Access | Times Cited: 5
Quantum computational infusion in extreme learning machines for early multi-cancer detection
Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Dual-method for semantic and instance brain tumor segmentation based on UNet and mask R-CNN using MRI
Javaria Amin, Nadia Gul, Muhammad Irfan Sharif
Neural Computing and Applications (2025)
Closed Access
Efficient Brain Tumor Detection and Segmentation Using DN‐MRCNN With Enhanced Imaging Technique
J. N., A. Senthilselvi
Microscopy Research and Technique (2025)
Open Access
A multi-stage fusion deep learning framework merging local patterns with attention-driven contextual dependencies for cancer detection
Hatice Çatal Reis, Veysel Turk
Computers in Biology and Medicine (2025) Vol. 189, pp. 109916-109916
Closed Access
The Impact of Backbone Selection in Yolov8 Models on Brain Tumor Localization
Ramin Ranjbarzadeh, Martin Crane, Malika Bendechache
(2024)
Closed Access | Times Cited: 3
Brain Tumor Segmentation and Classification Using Binomial Thresholding-Based Bidirectional-Long-Short Term Memory
J. Shreeharsha
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 149-158
Open Access | Times Cited: 3
Precise Identification and Segmentation of Brain Tumour in MR Brain Images Using Salp Swarm Optimized K-Means Clustering Technique
N Mahendran, P. Muthuvel, T. Arunprasath, et al.
(2023), pp. 877-885
Closed Access | Times Cited: 7
Classification of MRI brain tumors based on registration preprocessing and deep belief networks
Karim Gasmi, Ahmed Kharrat, Lassaad Ben Ammar, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 2, pp. 4604-4631
Open Access | Times Cited: 2
MCE: Medical Cognition Embedded in 3D MRI feature extraction for advancing glioma staging
Han Xue, Huimin Lu, Yilong Wang, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0304419-e0304419
Open Access | Times Cited: 1
ASA-LSTM-based brain tumor segmentation and classification in MRI images

International Journal of Advanced Technology and Engineering Exploration (2024) Vol. 11, Iss. 115
Open Access | Times Cited: 1
A comprehensive survey of honey badger optimization algorithm and meta-analysis of its variants and applications
Ibrahim Hayatu Hassan, Mohammed Abdullahi, Jeremiah Isuwa, et al.
Franklin Open (2024) Vol. 8, pp. 100141-100141
Open Access | Times Cited: 1
Brain Tumor Segmentation of MRI Images with U-Net and DeepLabV3+
Amila Akagić, Medina Kapo, Elma Kandić, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Enhancing brain tumor classification through ensemble attention mechanism
Fatih Çelik, Kemal Çelik, Ayse Celik
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
BrainNeuroNet: advancing brain tumor detection with hierarchical transformers and multiscale attention
S. Poornam, J. Jane Rubel Angelina
International Journal of Information Technology (2024)
Closed Access | Times Cited: 1
Transfer Learning-Based Deep Feature Extraction Framework Using Fine-Tuned EfficientNet B7 for Multiclass Brain Tumor Classification
Arpita Ghosh, Badal Soni, Ujwala Baruah
Arabian Journal for Science and Engineering (2023)
Closed Access | Times Cited: 3
Alzheimer's disease classification using competitive swarm multi‐verse optimizer‐based deep neuro‐fuzzy network
Apparna Allada, Rajaram Bhavani, C. Kavitha, et al.
Concurrency and Computation Practice and Experience (2023) Vol. 35, Iss. 21
Closed Access | Times Cited: 2
A Lightweight Attention based MobileNetv2 Model for Brain Tumor Segmentation and Severity of Tumor Classification using Support Vector Machine
D. Pavithra, R. Nidhya, C. Vinothini, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
A Fine-Tuned EfficientNet B1 Based Deep Transfer Learning Framework for Multiple Types of Brain Disorder Classification
Arpita Ghosh, Badal Soni, Ujwala Baruah
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2024) Vol. 48, Iss. 3, pp. 1279-1299
Closed Access
Utilizing Multi-layer Perceptron for Esophageal Cancer Classification Through Machine Learning Methods
Sandeep Kumar, Jagendra Singh, Vinayakumar Ravi, et al.
The Open Public Health Journal (2024) Vol. 17, Iss. 1
Open Access
Red Piranha Optimization Based Fast and Robust Fuzzy C-Means Clustering for Precise Glioma Segmentation in Therapeutic Applications
Gustavo Sophia, Kottaimalai Ramaraj, K Karthikeyan, et al.
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2024), pp. 294-300
Closed Access
Segmentation and classification of brain tumor using Taylor fire hawk optimization enabled deep learning approach
Ajit Kumar Rout, D. Sumathi, S. Nandakumar, et al.
Electromagnetic Biology and Medicine (2024), pp. 1-22
Closed 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
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