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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:

Features extraction for classification of brain tumor MRI images using support vector machine
Mohd Shahajad, Deepak Gambhir, Rashmi Gandhi
2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (2021)
Closed Access | Times Cited: 25

Showing 25 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
Brain tumor detection from images and comparison with transfer learning methods and 3-layer CNN
Mohammad Zafer Khaliki, Muhammet Sinan Başarslan
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 36
A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders
Aklima Akter Lima, M. F. Mridha, Sujoy Chandra Das, et al.
Biology (2022) Vol. 11, Iss. 3, pp. 469-469
Open Access | Times Cited: 61
Enhancing Digital Health Services with Big Data Analytics
Nisrine Berros, Fatna Elmendili, Youness Filaly, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 2, pp. 64-64
Open Access | Times Cited: 31
A Novel Approach for Brain Tumor Classification Using an Ensemble of Deep and Hand-Crafted Features
Hareem Kibriya, Rashid Amin, Jinsul Kim, et al.
Sensors (2023) Vol. 23, Iss. 10, pp. 4693-4693
Open Access | Times Cited: 22
NeuroSight: A Deep‐Learning Integrated Efficient Approach to Brain Tumor Detection
Shafayat Bin Shabbir Mugdha, Mahtab Uddin
Engineering Reports (2025) Vol. 7, Iss. 1
Open Access
Impact of preprocessing techniques on MRI-based brain tumor detection
Tanima Ghosh, N. Jayanthi
Multimedia Tools and Applications (2025)
Closed Access
An improved hybrid classification of brain tumor MRI images based on conglomeration feature extraction techniques
Twinkle Bansal, Neeru Jindal
Neural Computing and Applications (2022) Vol. 34, Iss. 11, pp. 9069-9086
Closed Access | Times Cited: 17
Bayesian dynamic profiling and optimization of important ranked energy from gray level co-occurrence (GLCM) features for empirical analysis of brain MRI
Lal Hussain, Areej Malibari, Jaber S. Alzahrani, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 14
Integrating Eye Gaze Estimation with the Internet of Medical Things (IoMT) for Individualized and Efficient Healthcare
Sapana Chandel, Riju Bhattacharya, Manjushree Nayak, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 2
Brain Tumor Detection Using Deep Learning(CNN)
Yuvraj Patare, Sanket Yadav, Rupesh Pingale, et al.
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024), pp. 1-5
Closed Access | Times Cited: 2
A Systematic Study of Artificial Intelligence-Based Methods for Detecting Brain Tumors
Sanjeet Kumar, Urmila Pilania, Neha Nandal
Informatics and Automation (2023) Vol. 22, Iss. 3, pp. 541-575
Open Access | Times Cited: 6
Intelligent lung cancer MRI prediction analysis based on cluster prominence and posterior probabilities utilizing intelligent Bayesian methods on extracted gray-level co-occurrence (GLCM) features
Jing Yang, Lip Yee Por, Abdullah Ayub Khan, et al.
Digital Health (2023) Vol. 9, pp. 205520762311726-205520762311726
Open Access | Times Cited: 5
A Comparative Analysis on Random Forest Algorithm Over K-Means for Identifying the Brain Tumor Anomalies Using Novel CT Scan with MRI Scan
N. Vani, D. S. Vinod
2022 International Conference on Business Analytics for Technology and Security (ICBATS) (2022), pp. 1-6
Closed Access | Times Cited: 4
MRI: An important biomarker for radiomics study of brain cancer using machine learning
Vinayak Majhi, Sudip Paul
Elsevier eBooks (2024), pp. 181-210
Closed Access
MRI-Based Brain Tumor detection and classification using Artificial Neural Network
Chithra PL, T. Yegammai
(2024)
Open Access
Employing Xception convolutional neural network through high-precision MRI analysis for brain tumor diagnosis
R. Sathya, T R Mahesh, Surbhi Bhatia Khan, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Machine Learning Techniques for Brain Tumor Detection: A Comparative Analysis
Anjali Malik, Ganesh Gopal Devarajan
Lecture notes in networks and systems (2024), pp. 111-132
Closed Access
Local Frequency Descriptor and Hybrid Features for Classification of Brain Magnetic Resonance Images using Ensemble Classifier
G Shruthi, Krishna Raj P M
International Journal of Advanced Computer Science and Applications (2021) Vol. 12, Iss. 11
Open Access | Times Cited: 3
Multiple Feature based Classification for the Prediction of Brain Tumor
Parul Chhabra, Pradeep Kumar Bhatia
(2022)
Closed Access | Times Cited: 1
A Comprehensive Review and Current Methods for Classifying Alzheimer's Disease Using Feature Extraction and Machine Learning Techniques
S. Chithra, R. Vijayabhanu
Lecture notes in networks and systems (2023), pp. 735-747
Closed Access
Detection of Brain Neoplasm in MRI Data with Improved Image Preprocessing and Cascaded CNN-SSVM Model for Classification
Nilanjan Sinhababu, A. Samanta, Debasis Samanta
(2023)
Closed Access
Identifying Brain Tumour from Brain MRI images by ensemble learning methods
Ashwini Doke, Vyshali Rao K P
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access
State-of-Art Review on Medical Image Classification Techniques
Abhishek Bose, Ritu Garg
Lecture notes in electrical engineering (2023), pp. 43-52
Closed Access
Cloud-Based Data Analytics for Healthcare 5.0
K. Kavitha, C. Kumuthini
Advances in healthcare information systems and administration book series (2023), pp. 44-56
Closed Access
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