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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:

RETRACTED ARTICLE: Brain tumor magnetic resonance image classification: a deep learning approach
Machiraju Jaya Lakshmi, S. Nagaraja Rao
Soft Computing (2022) Vol. 26, Iss. 13, pp. 6245-6253
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

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: 96
Multiple Brain Tumor Classification with Dense CNN Architecture Using Brain MRI Images
Osman Özkaraca, Okan İhsan Bağrıaçık, Hüseyin Gürüler, et al.
Life (2023) Vol. 13, Iss. 2, pp. 349-349
Open Access | Times Cited: 88
A multi-class brain tumor grading system based on histopathological images using a hybrid YOLO and RESNET networks
Naira Elazab, Wael A. Gab-Allah, Mohammed Elmogy
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Explainable AI in medical imaging: an interpretable and collaborative federated learning model for brain tumor classification
Qurat-ul-ain Mastoi, Shahid Latif, Sarfraz Nawaz Brohi, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access | Times Cited: 1
Enhanced brain tumor classification using graph convolutional neural network architecture
M. Ravinder, Garima Saluja, Sarah Allabun, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
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
BT-Net: An end-to-end multi-task architecture for brain tumor classification, segmentation, and localization from MRI images
Salman Fazle Rabby, Muhammad Abdullah Arafat, Taufiq Hasan
Array (2024) Vol. 22, pp. 100346-100346
Open Access | Times Cited: 5
Brain-O-Vision: Brain Tumor Detection
S. P. Angelin Claret, Swati Datta, Ish Kwatra
Communications in computer and information science (2025), pp. 261-274
Closed Access
A comprehensive review on deep learning approaches for brain tumour classification and prediction: Current status and future prospects
Rahul Jadhav, Sudhagar Govindaswamy
AIP conference proceedings (2025) Vol. 3281, pp. 060005-060005
Closed Access
Learning Architecture for Brain Tumor Classification Based on Deep Convolutional Neural Network: Classic and ResNet50
Rabei Raad Ali, Noorayisahbe Mohd Yaacob, Marwan Harb Alqaryouti, et al.
Diagnostics (2025) Vol. 15, Iss. 5, pp. 624-624
Open Access
Transfer Learning with Mobile Net for Brain Tumor Detection in Neuroimaging
Neha Verma, Vijay Kumar Bohat
Lecture notes in networks and systems (2025), pp. 109-117
Closed Access
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
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
Review, Limitations, and future prospects of neural network approaches for brain tumor classification
Surajit Das, Rajat Subhra Goswami
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 45799-45841
Closed Access | Times Cited: 7
Effective deep learning classification for kidney stone using axial computed tomography (CT) images
Özlem Sabuncu, Bülent Bilgehan, Enver Kneebone, et al.
Biomedical Engineering / Biomedizinische Technik (2023) Vol. 68, Iss. 5, pp. 481-491
Closed Access | Times Cited: 6
Multi-class Brain Tumor Classification and Segmentation using Hybrid Deep Learning Network Model
Parasa Rishi Kumar, Kavya Bonthu, B Meghana, et al.
Scalable Computing Practice and Experience (2023) Vol. 24, Iss. 1, pp. 69-80
Open Access | Times Cited: 5
An Optimized Deep Learning Model for Predicting Mild Cognitive Impairment Using Structural MRI
Esraa H. Alyoubi, Kawthar Moria, Jamaan Alghamdi, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5648-5648
Open Access | Times Cited: 4
Optimised ResNet50 for Multi-Class Classification of Brain Tumors
Sravanthi Peddinti A, Suman Maloji
Scalable Computing Practice and Experience (2024) Vol. 25, Iss. 3, pp. 1667-1680
Open Access | Times Cited: 1
An Effective Classification of Brain Tumor using Deep Learning Techniques
Dharshini Sankar Raj
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 5, pp. 897-905
Open Access | Times Cited: 1
Advancements in brain tumor analysis: a comprehensive review of machine learning, hybrid deep learning, and transfer learning approaches for MRI-based classification and segmentation
Surajit Das, Rajat Subhra Goswami
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Improving Oral Cancer Detection Using Pretrained Model
C Kavyashree, H S Vimala, J Shreyas
2022 IEEE 6th Conference on Information and Communication Technology (CICT) (2022), pp. 1-5
Closed Access | Times Cited: 6
A Survey of Techniques for Brain Anomaly Detection and Segmentation Using Machine Learning
Kamala Narayanan, Shahram Latifi
International Journal of Communications Network and System Sciences (2023) Vol. 16, Iss. 07, pp. 151-167
Open Access | Times Cited: 2
Dalgacık dönüşümü ve Inception v3 evrişimli sinir ağı modeli kullanarak beyin tümörlerinin sınıflandırılması
Z. N. Kaya, Zafer Aslan, Ali Güneş, et al.
Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi (2024) Vol. 39, Iss. 3, pp. 1945-1952
Open Access
Advances in Brain Tumor Detection and Localization
Krishnangshu Paul, Arunima Patra, Prithwineel Paul
(2024), pp. 195-212
Closed Access
Addressing challenges in accurate brain tumor classification in MRI: a transfer learning approach with EfficientNetB3 and comprehensive model evaluation
Surajit Das, Rajat Subhra Goswami
Multimedia Tools and Applications (2024)
Closed Access
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