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:

Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
Muhammad Attique Khan, Imran Ashraf, Majed Alhaisoni, et al.
Diagnostics (2020) Vol. 10, Iss. 8, pp. 565-565
Open Access | Times Cited: 334

Showing 1-25 of 334 citing articles:

Machine learning in medical applications: A review of state-of-the-art methods
Mohammad Shehab, Laith Abualigah, Qusai Shambour, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105458-105458
Closed Access | Times Cited: 315
Machine-Learning-Based Disease Diagnosis: A Comprehensive Review
Md Manjurul Ahsan, Shahana Akter Luna, Zahed Siddique
Healthcare (2022) Vol. 10, Iss. 3, pp. 541-541
Open Access | Times Cited: 308
Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture
Amjad Rehman, Muhammad Attique Khan, Tanzila Saba, et al.
Microscopy Research and Technique (2020) Vol. 84, Iss. 1, pp. 133-149
Closed Access | Times Cited: 243
Skin Lesion Segmentation and Multiclass Classification Using Deep Learning Features and Improved Moth Flame Optimization
Muhammad Attique Khan, Muhammad Sharif, Tallha Akram, et al.
Diagnostics (2021) Vol. 11, Iss. 5, pp. 811-811
Open Access | Times Cited: 206
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
Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification
Amjad Rehman, Siraj M. Khan, Majid Harouni, et al.
Microscopy Research and Technique (2021) Vol. 84, Iss. 7, pp. 1389-1399
Closed Access | Times Cited: 185
Multi-Modal Brain Tumor Detection Using Deep Neural Network and Multiclass SVM
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Medicina (2022) Vol. 58, Iss. 8, pp. 1090-1090
Open Access | Times Cited: 168
Brain tumor detection and multi‐classification using advanced deep learning techniques
Tariq Sadad, Amjad Rehman, Asim Munir, et al.
Microscopy Research and Technique (2021) Vol. 84, Iss. 6, pp. 1296-1308
Closed Access | Times Cited: 164
Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine
Vivek Lahoura, Harpreet Singh, Ashutosh Aggarwal, et al.
Diagnostics (2021) Vol. 11, Iss. 2, pp. 241-241
Open Access | Times Cited: 155
Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances
Protima Khan, Md. Fazlul Kader, S. M. Riazul Islam, et al.
IEEE Access (2021) Vol. 9, pp. 37622-37655
Open Access | Times Cited: 154
A deep learning approach for brain tumor classification using MRI images
Muhammad Aamir, Zia-ur Rahman, Zaheer Ahmed Dayo, et al.
Computers & Electrical Engineering (2022) Vol. 101, pp. 108105-108105
Open Access | Times Cited: 143
Cassava disease recognition from low‐quality images using enhanced data augmentation model and deep learning
Olusola Abayomi‐Alli, Robertas Damaševičius, Sanjay Misra, et al.
Expert Systems (2021) Vol. 38, Iss. 7
Closed Access | Times Cited: 125
Differential Deep Convolutional Neural Network Model for Brain Tumor Classification
Isselmou Abd El Kader, Guizhi Xu, Shuai Zhang, et al.
Brain Sciences (2021) Vol. 11, Iss. 3, pp. 352-352
Open Access | Times Cited: 120
Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning
Ebrahim Mohammed Senan, Mukti E. Jadhav, Taha H. Rassem, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 112
A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models
Nahid Ferdous Aurna, Mohammad Abu Yousuf, Kazi Abu Taher, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105539-105539
Closed Access | Times Cited: 111
Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential
Xingping Zhang, Yanchun Zhang, Guijuan Zhang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 106
Brain Tumor Detection and Classification Using Deep Learning and Sine-Cosine Fitness Grey Wolf Optimization
Hanaa ZainEldin, Samah A. Gamel, El-Sayed M. El-kenawy, et al.
Bioengineering (2022) Vol. 10, Iss. 1, pp. 18-18
Open Access | Times Cited: 100
Recent advancement in cancer diagnosis using machine learning and deep learning techniques: A comprehensive review
Deepak Painuli, Suyash Bhardwaj, Utku Köse
Computers in Biology and Medicine (2022) Vol. 146, pp. 105580-105580
Closed Access | Times Cited: 98
Multiscale lightweight 3D segmentation algorithm with attention mechanism: Brain tumor image segmentation
Hengxin Liu, Guoqiang Huo, Qiang Li, et al.
Expert Systems with Applications (2022) Vol. 214, pp. 119166-119166
Closed Access | Times Cited: 81
Multimodal brain tumor detection and classification using deep saliency map and improved dragonfly optimization algorithm
Muhammad Attique Khan, Awais Khan, Majed Alhaisoni, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 33, Iss. 2, pp. 572-587
Closed Access | Times Cited: 80
A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI
Mirza Mumtaz Zahoor, Shahzad Ahmad Qureshi, Sameena Bibi, et al.
Sensors (2022) Vol. 22, Iss. 7, pp. 2726-2726
Open Access | Times Cited: 75
Deep learning models and traditional automated techniques for brain tumor segmentation in MRI: a review
Parvathy Jyothi, A. Robert Singh
Artificial Intelligence Review (2022) Vol. 56, Iss. 4, pp. 2923-2969
Closed Access | Times Cited: 74
A Novel and Effective Brain Tumor Classification Model Using Deep Feature Fusion and Famous Machine Learning Classifiers
Hareem Kibriya, Rashid Amin, Asma Hassan Alshehri, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 69
Efficient Detection and Classification of Brain Tumor using Kernel based SVM for MRI
Champakamala Sundar Rao, K. Karunakara
Multimedia Tools and Applications (2022) Vol. 81, Iss. 5, pp. 7393-7417
Closed Access | Times Cited: 68
Weighted Average Ensemble Deep Learning Model for Stratification of Brain Tumor in MRI Images
Vatsala Anand, Sheifali Gupta, Deepali Gupta, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1320-1320
Open Access | Times Cited: 63
Page 1 - Next Page

Scroll to top