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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:

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 26-50 of 334 citing articles:

PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images
Taha Muezzinoglu, Nursena Bayğın, Ilknur Tuncer, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 973-987
Closed Access | Times Cited: 48
Brain Tumor Detection and Multi-Grade Segmentation Through Hybrid Caps-VGGNet Model
Ayesha Jabbar, Shahid Naseem, Tariq Mahmood, et al.
IEEE Access (2023) Vol. 11, pp. 72518-72536
Open Access | Times Cited: 44
Efficient Gastrointestinal Disease Classification Using Pretrained Deep Convolutional Neural Network
Muhammad Nouman Noor, Muhammad Nazir, Sajid Ali Khan, et al.
Electronics (2023) Vol. 12, Iss. 7, pp. 1557-1557
Open Access | Times Cited: 41
Explainable Deep-Learning-Based Diagnosis of Alzheimer’s Disease Using Multimodal Input Fusion of PET and MRI Images
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Journal of Medical and Biological Engineering (2023) Vol. 43, Iss. 3, pp. 291-302
Open Access | Times Cited: 41
An Effective and Novel Approach for Brain Tumor Classification Using AlexNet CNN Feature Extractor and Multiple Eminent Machine Learning Classifiers in MRIs
Alok Sarkar, Md. Maniruzzaman, Mohammad Ashik Alahe, et al.
Journal of Sensors (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 39
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Xieling Chen, Haoran Xie, Xiaohui Tao, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 22
Multimodal data integration for oncology in the era of deep neural networks: a review
Asim Waqas, Aakash Tripathi, Ravi P. Ramachandran, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 20
Performance of convolutional neural networks for the classification of brain tumors using magnetic resonance imaging
Daniel Reyes, Javier Sánchez
Heliyon (2024) Vol. 10, Iss. 3, pp. e25468-e25468
Open Access | Times Cited: 15
Cancer Detection Using Artificial Intelligence: A Paradigm in Early Diagnosis
Gayathri Bulusu, K. E. Ch. Vidyasagar, Malini Mudigonda, et al.
Archives of Computational Methods in Engineering (2025)
Open Access | Times Cited: 1
New Cognitive Computational Strategy for Optimizing Brain Tumour Classification using Magnetic Resonance Imaging Data
R. Kishore Kanna, Ayodeji Olalekan Salau
Intelligence-Based Medicine (2025), pp. 100215-100215
Open Access | Times Cited: 1
Efficient and low complex architecture for detection and classification of Brain Tumor using RCNN with Two Channel CNN
Nivea Kesav, M G Jibukumar
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 8, pp. 6229-6242
Open Access | Times Cited: 99
VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images
Muhammad Attique Khan, V. Rajinikanth, Suresh Chandra Satapathy, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2208-2208
Open Access | Times Cited: 99
Pearson Correlation-Based Feature Selection for Document Classification Using Balanced Training
Inzamam Mashood Nasir, Muhammad Attique Khan, Mussarat Yasmin, et al.
Sensors (2020) Vol. 20, Iss. 23, pp. 6793-6793
Open Access | Times Cited: 98
From ECG signals to images: a transformation based approach for deep learning
Mahwish Naz, Jamal Hussain Shah, Muhammad Attique Khan, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e386-e386
Open Access | Times Cited: 97
Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions
Ahsan Bin Tufail, Yongkui Ma, Mohammed K. A. Kaabar, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-28
Open Access | Times Cited: 97
Role of Hybrid Deep Neural Networks (HDNNs), Computed Tomography, and Chest X-rays for the Detection of COVID-19
Muhammad Irfan, Muhammad Aksam Iftikhar, Sana Yasin, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 6, pp. 3056-3056
Open Access | Times Cited: 90
Multi-level attention network: application to brain tumor classification
Nagur Shareef Shaik, Teja Krishna Cherukuri
Signal Image and Video Processing (2021) Vol. 16, Iss. 3, pp. 817-824
Closed Access | Times Cited: 88
StomachNet: Optimal Deep Learning Features Fusion for Stomach Abnormalities Classification
Muhammad Attique Khan, Muhammad Shahzad Sarfraz, Majed Alhaisoni, et al.
IEEE Access (2020) Vol. 8, pp. 197969-197981
Open Access | Times Cited: 85
A novel framework for rapid diagnosis of COVID-19 on computed tomography scans
Tallha Akram, Muhammad Attique, Salma Gul, et al.
Pattern Analysis and Applications (2021) Vol. 24, Iss. 3, pp. 951-964
Open Access | Times Cited: 81
Performance optimisation of deep learning models using majority voting algorithm for brain tumour classification
Gopal S. Tandel, Ashish Tiwari, O. G. Kakde
Computers in Biology and Medicine (2021) Vol. 135, pp. 104564-104564
Closed Access | Times Cited: 81
A novel optic disc and optic cup segmentation technique to diagnose glaucoma using deep learning convolutional neural network over retinal fundus images
H N Veena, A. Muruganandham, T. Senthil Kumaran
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 8, pp. 6187-6198
Open Access | Times Cited: 80
Automated Breast Mass Classification System Using Deep Learning and Ensemble Learning in Digital Mammogram
Sharaf J. Malebary, Arshad Hashmi
IEEE Access (2021) Vol. 9, pp. 55312-55328
Open Access | Times Cited: 74
An Efficient Approach for the Detection of Brain Tumor Using Fuzzy Logic and U-NET CNN Classification
Sarmad Maqsood, Robertas Damaševičius, Faisal Mehmood Shah
Lecture notes in computer science (2021), pp. 105-118
Closed Access | Times Cited: 68
Convolutional-Neural-Network Assisted Segmentation and SVM Classification of Brain Tumor in Clinical MRI Slices
V. Rajinikanth, Seifedine Kadry, Yunyoung Nam
Information Technology And Control (2021) Vol. 50, Iss. 2, pp. 342-356
Open Access | Times Cited: 67
Credit Card Fraud Detection Using a New Hybrid Machine Learning Architecture
Esraa Faisal Malik, Khai Wah Khaw, Bahari Belaton, et al.
Mathematics (2022) Vol. 10, Iss. 9, pp. 1480-1480
Open Access | Times Cited: 66

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