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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:

An MRI-based deep learning approach for efficient classification of brain tumors
Ejaz Ul Haq, Jianjun Huang, Kang Li, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 6, pp. 6697-6718
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Classification of Brain Tumor from Magnetic Resonance Imaging Using Vision Transformers Ensembling
Sudhakar Tummala, Seifedine Kadry, Syed Ahmad Chan Bukhari, et al.
Current Oncology (2022) Vol. 29, Iss. 10, pp. 7498-7511
Open Access | Times Cited: 122
Brain Tumor Detection and Classification Using Intelligence Techniques: An Overview
Shubhangi Solanki, Uday Pratap Singh, Siddharth Singh Chouhan, et al.
IEEE Access (2023) Vol. 11, pp. 12870-12886
Open Access | Times Cited: 101
A robust MRI-based brain tumor classification via a hybrid deep learning technique
Shaimaa E. Nassar, Ibrahim Yasser, Hanan M. Amer, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 2, pp. 2403-2427
Open Access | Times Cited: 45
Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50
M. Mohamed Musthafa, T R Mahesh, V. Vinoth Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 23
A fine-tuned vision transformer based enhanced multi-class brain tumor classification using MRI scan imagery
C. Kishor Kumar Reddy, Pulakurthi Anaghaa Reddy, Himaja Janapati, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 20
Brain Tumor Detection and Categorization with Segmentation of Improved Unsupervised Clustering Approach and Machine Learning Classifier
Usharani Bhimavarapu, Nalini Chintalapudi, Gopi Battineni
Bioengineering (2024) Vol. 11, Iss. 3, pp. 266-266
Open Access | Times Cited: 18
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
Enhanced MRI-based brain tumor classification with a novel Pix2pix generative adversarial network augmentation framework
Efe Precious Onakpojeruo, Mubarak Taiwo Mustapha, Dilber Uzun Ozsahin, et al.
Brain Communications (2024) Vol. 6, Iss. 6
Open Access | Times Cited: 9
Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network
Rajesh Kumar Thangavel, Antony Allwyn Sundarraj, Jayabrabu Ramakrishnan, et al.
Electromagnetic Biology and Medicine (2025), pp. 1-18
Closed Access | Times Cited: 1
SPP_CNN: Spatial Pyramid Pooling for Optimizing Brain Tumor Classification
Suri babu Nuthalapati, A. R. Bushara, K M Abubeker
Lecture notes in electrical engineering (2025), pp. 1-16
Closed Access | Times Cited: 1
Machine Learning Empowered Brain Tumor Segmentation and Grading Model for Lifetime Prediction
M. Renugadevi, K. Narasimhan, C. V. Ravikumar, et al.
IEEE Access (2023) Vol. 11, pp. 120868-120880
Open Access | Times Cited: 20
Enhancing Automated Brain Tumor Detection Accuracy Using Artificial Intelligence Approaches for Healthcare Environments
Akmalbek Abdusalomov, Mekhriddin Rakhimov, Jakhongir Karimberdiyev, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 627-627
Open Access | Times Cited: 6
A comparative study of brain tumor classification on unbalanced dataset using deep neural networks
Tarun Agrawal, Prakash Choudhary, Vijay Kumar, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106256-106256
Closed Access | Times Cited: 5
Brain Tumor Categorization and Retrieval Using Deep Brain Incep Res Architecture Based Reinforcement Learning Network
Jyotismita Chaki, Marcin Woźniak
IEEE Access (2023) Vol. 11, pp. 130584-130600
Open Access | Times Cited: 12
Performance of deep learning algorithms to distinguish high-grade glioma from low-grade glioma: A systematic review and meta-analysis
Wanyi Sun, Cheng Song, Chao Tang, et al.
iScience (2023) Vol. 26, Iss. 6, pp. 106815-106815
Open Access | Times Cited: 11
Brain tumor recognition from multimodal magnetic resonance images using wavelet texture features and optimized artificial neural network
Ashwani Kumar Yadav, Vaishali Yadav
Multimedia Tools and Applications (2024) Vol. 83, Iss. 29, pp. 72975-72996
Closed Access | Times Cited: 4
M-C&M-BL: a novel classification model for brain tumor classification: multi-CNN and multi-BiLSTM
Muhammet Sinan Başarslan
The Journal of Supercomputing (2025) Vol. 81, Iss. 3
Open Access
Subclass Classification of Gliomas Using MRI Fusion Technique
Kiranmayee Janardhan, T. Christy Bobby
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
Precision Meets Innovation: Hybrid Ai Model in Brain Tumor Research
Rabeya Bashri Sumona, Jit Biswas, Ahmed Shafkat, et al.
(2025)
Closed Access
Brain tumor detection with bi-directional cascade Gaussian kernel feature-generative adversarial networks
S Anjana, P. M. Siva Raja, K. Rejini, et al.
Biomedical Signal Processing and Control (2025) Vol. 107, pp. 107838-107838
Closed Access
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
An optimized deep neural network with explainable artificial intelligence framework for brain tumour classification
Roohum Jegan, Bhakti Kaushal, Gajanan K. Birajdar, et al.
Network Computation in Neural Systems (2025), pp. 1-35
Closed Access
Advancements in Brain Tumour Analysis: A Review of Machine Learning, Deep Learning, Image Processing, and Explainable AI Techniques
S. Venu Gopal, Ch. Kavitha
Operations Research Forum (2025) Vol. 6, Iss. 2
Closed Access
Magnetic resonance imaging-based brain tumor image classification performance enhancement
Belayneh Sisay Alemu, Sultan Feisso, E. Mohammed, et al.
Scientific African (2023) Vol. 22, pp. e01963-e01963
Open Access | Times Cited: 9
Global Self-Attention Module Based Convolutional Neural Network for Brain Tumor Classification
Preeti Sadanand Topannavar, D. M. Yadav, Varsha Bendre
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 647-657
Open Access | Times Cited: 2
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