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:

A decision support system for multimodal brain tumor classification using deep learning
Muhammad Imran Sharif, Muhammad Attique Khan, Musaed Alhussein, et al.
Complex & Intelligent Systems (2021) Vol. 8, Iss. 4, pp. 3007-3020
Open Access | Times Cited: 187

Showing 26-50 of 187 citing articles:

DCNNBT: A NOVEL DEEP CONVOLUTION NEURAL NETWORK-BASED BRAIN TUMOR CLASSIFICATION MODEL
Mohd Anul Haq, Ilyas Khan, Ahsan Uddin Ahmed, et al.
Fractals (2023) Vol. 31, Iss. 06
Open Access | Times Cited: 30

Computer-Aided Early Melanoma Brain-Tumor Detection Using Deep-Learning Approach
Rimsha Asad, Saif Ur Rehman, Azhar Imran, et al.
Biomedicines (2023) Vol. 11, Iss. 1, pp. 184-184
Open Access | Times Cited: 26

Grade Classification of Tumors from Brain Magnetic Resonance Images Using a Deep Learning Technique
Saravanan Srinivasan, Prabin Selvestar Mercy Bai, Sandeep Kumar Mathivanan, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1153-1153
Open Access | Times Cited: 24

Brain Tumor Segmentation from 3D MRI Scans Using U-Net
Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, et al.
SN Computer Science (2023) Vol. 4, Iss. 4
Open Access | Times Cited: 24

A Hybrid Learning-Architecture for Improved Brain Tumor Recognition
J. R. Dixon, Oluwatunmise Akinniyi, Abeer Abdelhamid, et al.
Algorithms (2024) Vol. 17, Iss. 6, pp. 221-221
Open Access | Times Cited: 9

Deep learning for multi-grade brain tumor detection and classification: a prospective survey
K. Bhagyalaxmi, B. Dwarakanath, P. Vijaya Pal Reddy
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 65889-65911
Closed Access | Times Cited: 8

Neuro-XAI: Explainable deep learning framework based on deeplabV3+ and bayesian optimization for segmentation and classification of brain tumor in MRI scans
Tallha Saeed, Muhammad Attique Khan, Ameer Hamza, et al.
Journal of Neuroscience Methods (2024) Vol. 410, pp. 110247-110247
Closed Access | Times Cited: 7

Analysis of Brain MRI Images Using Improved CornerNet Approach
Marriam Nawaz, Tahira Nazir, Momina Masood, et al.
Diagnostics (2021) Vol. 11, Iss. 10, pp. 1856-1856
Open Access | Times Cited: 40

Multimodal brain tumor detection using multimodal deep transfer learning
Parvin Razzaghi, Karim Abbasi, Mahmoud Shirazi, et al.
Applied Soft Computing (2022) Vol. 129, pp. 109631-109631
Closed Access | Times Cited: 36

A Long Short-Term Memory Biomarker-Based Prediction Framework for Alzheimer’s Disease
Anza Aqeel, Ali Hassan, Muhammad Attique Khan, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1475-1475
Open Access | Times Cited: 34

A Comprehensive Review on Smart Health Care: Applications, Paradigms, and Challenges with Case Studies
Syed Saba Raoof, M.A. Saleem Durai
Contrast Media & Molecular Imaging (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 28

Brain tumour detection using machine and deep learning: a systematic review
Novsheena Rasool, Javaid Iqbal Bhat
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6

Brain tumor classification using fine-tuned transfer learning models on magnetic resonance imaging (MRI) images
Sadia Maduri Rasa, Mohammed Manowarul Islam, Mohammed Alamin Talukder, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 6

Improved Brain Tumor Classification Accuracy Using CNN Architecture with Efficient Net on Magnetic Resonance Imaging
Poonam jyoti -, Makhan Singh
Smart innovation, systems and technologies (2025), pp. 137-148
Closed Access

Exploring brain tumor detection through artificial intelligence
Ashish Kumar, Shikha Bhalla
Elsevier eBooks (2025), pp. 93-120
Closed Access

Optimize brain tumor multiclass classification with manta ray foraging and improved residual block techniques
Saif Ur Rehman Khan, Sohaib Asif, Ming Zhao, et al.
Multimedia Systems (2025) Vol. 31, Iss. 1
Closed Access

Detection of brain tumors using a transfer learning-based optimized ResNet152 model in MR images
Prabhpreet Kaur, Priyanka Mahajan
Computers in Biology and Medicine (2025) Vol. 188, pp. 109790-109790
Closed Access

Subclass Classification of Gliomas Using MRI Fusion Technique
Kiranmayee Janardhan, T. Christy Bobby
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access

A Hybrid LECNN Architecture: A Computer-Assisted Early Diagnosis System for Lung Cancer Using CT Images
Gür Emre Güraksın, İsmail Kayadibi
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access

A Vision Transformer-Based Intelligent System For Brain Tumor Diagnosis
Oluwatunmise Akinniyi, J. R. Dixon, Fahmi Khalifa, et al.
Lecture notes in networks and systems (2025), pp. 642-656
Closed Access

Enhanced Brain Tumor Detection: A Comparative Study of CNN and MobileNetV2
Dibya Ranjan Sarangi, Debendra Muduli, Prabir Kumar Jena, et al.
Learning and analytics in intelligent systems (2025), pp. 21-30
Closed Access

Categorizing white blood cells by utilizing deep features of proposed 4B-AdditionNet-based CNN network with ant colony optimization
Asim Shahzad, Mudassar Raza, Jamal Hussain Shah, et al.
Complex & Intelligent Systems (2021) Vol. 8, Iss. 4, pp. 3143-3159
Open Access | Times Cited: 35

Automated brain disease classification using exemplar deep features
Ahmet Kürşad Poyraz, Şengül Doğan, Erhan Akbal, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103448-103448
Closed Access | Times Cited: 35

Skin Lesion Segmentation and Classification Using Conventional and Deep Learning Based Framework
Amina Bibi, Muhamamd Attique Khan, Muhammad Younus Javed, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 71, Iss. 2, pp. 2477-2495
Open Access | Times Cited: 32

Scroll to top