Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Classification of Brain Tumours Types Based On MRI Images Using Mobilenet
Tsamara Hanifa Arfan, Mardhiya Hayaty, Arifiyanto Hadinegoro
(2021), pp. 69-73
Closed Access | Times Cited: 16

Showing 16 citing articles:

AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer’s Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images
F. M. Javed Mehedi Shamrat, Shamima Akter, Sami Azam, et al.
IEEE Access (2023) Vol. 11, pp. 16376-16395
Open Access | Times Cited: 95
Variational Autoencoders-BasedSelf-Learning Model for Tumor Identification and Impact Analysis from 2-D MRI Images
Parvathaneni Naga Srinivasu, T. Balamurali Krishna, Shakeel Ahmed, et al.
Journal of Healthcare Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 27
Brain Tumor Classification Using MobileNet
Medapati Prema Kumar, Dodda Hasmitha, B A Usha, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 4
Investigating the key principles in two-step heterogeneous transfer learning for early laryngeal cancer identification
Xinyi Fang, Chak Fong Chong, Kei Long Wong, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
VGX: VGG19‐Based Gradient Explainer Interpretable Architecture for Brain Tumor Detection in Microscopy Magnetic Resonance Imaging (MMRI)
Deep Kothadiya, Amjad Rehman, Bayan Alghofaily, et al.
Microscopy Research and Technique (2025)
Closed Access
Genetic Algorithm Optimized Stacking Approach to Skin Disease Detection
A. Balasundaram, Ayesha Shaik, B. Rohan Alroy, et al.
IEEE Access (2024) Vol. 12, pp. 88950-88962
Open Access | Times Cited: 1
Developing diverse ensemble architectures for automatic brain tumor classification
Gergő Bogacsovics, Balázs Harangi, András Hajdú
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 1
Automated Brain Disease Classification using Transfer Learning based Deep Learning Models
Farhana Alam, Farhana Chowdhury Tisha, Sara Anisa Rahman, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 9
Open Access | Times Cited: 6
Increasing the diversity of ensemble members for accurate brain tumor classification
Gergő Bogacsovics, Balázs Harangi, András Hajdú
(2023), pp. 529-534
Closed Access | Times Cited: 2
Improving the performance for automated brain tumor classification on magnetic resonance imaging deep learningbased
Muhammad Fachrurrozi, Annisa Darmawahyuni, Samsuryadi Samsuryadi, et al.
IAES International Journal of Artificial Intelligence (2024) Vol. 13, Iss. 2, pp. 1679-1679
Open Access
Segnet with Unet3+ and EfficientNet: a novel framework of brain tumour segmentation and classification model by multiscale attention-based deep learning techniques with hybrid heuristic improvement using 3D MRI brain images
D Ramya, C. Lakshmi
The Imaging Science Journal (2024), pp. 1-24
Closed Access
AI-Powered Brain Imaging for Early Neurodegenerative Disease Detection
Prajwal Bhimrao Kalashetty, Avdhut Rohidas Punekar, Sourav Hemant Lokhande, et al.
(2024), pp. 1-6
Closed Access
Enhanced MobileNet Architecture with Residual Blocks for Improved CT Image Classification
S Athiramol, Sudheep Elavidom M
(2024), pp. 01-05
Closed Access
Cancer Detection Techniques: An Overview of Traditional and AI-Based Methods and Their Comparative Analysis
Vikram Verma, Alankrita Aggarwal
Lecture notes in electrical engineering (2024), pp. 183-193
Closed Access
Machine Learning Technique for Improvised and Automated Diagnosis of Soft Tissue Tumor
S Keerthana, Jayant Kumar, K. Priyadharsini, et al.
2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) (2022) Vol. 19, pp. 1001-1007
Closed Access | Times Cited: 1
Comparative Evaluation of Transfer Learning for Classification of Brain Tumor Using MRI
Abu Kaisar Mohammad Masum, Nusrat Badhon, S.M. Saiful Islam Badhon, et al.
(2023), pp. 697-702
Open Access
Page 1

Scroll to top