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:

A deep autoencoder approach for detection of brain tumor images
Dillip Ranjan Nayak, Neelamadhab Padhy, Pradeep Kumar Mallick, et al.
Computers & Electrical Engineering (2022) Vol. 102, pp. 108238-108238
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Brain Tumor Detection using VGG19 model on Adadelta and SGD Optimizer
Kanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand, et al.
2022 6th International Conference on Electronics, Communication and Aerospace Technology (2022)
Closed Access | Times Cited: 40

A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions
Tauhidul Islam, Md. Sadman Hafiz, Jamin Rahman Jim, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100340-100340
Open Access | Times Cited: 13

From Anomaly Detection to Defect Classification
Jaromír Klarák, Robert Andok, Peter Malík, et al.
Sensors (2024) Vol. 24, Iss. 2, pp. 429-429
Open Access | Times Cited: 10

Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, et al.
Applied Intelligence (2023) Vol. 54, Iss. 1, pp. 35-79
Closed Access | Times Cited: 18

TumorGANet: A Transfer Learning and Generative Adversarial Network- Based Data Augmentation Model for Brain Tumor Classification
Anindya Nag, Hirak Mondal, Md. Mehedi Hassan, et al.
IEEE Access (2024) Vol. 12, pp. 103060-103081
Open Access | Times Cited: 6

A Robust End-to-End Deep Learning-Based Approach for Effective and Reliable BTD Using MR Images
Naeem Ullah, Muhammad Sohail Khan, Javed Ali Khan, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7575-7575
Open Access | Times Cited: 27

Enhancing explainability in brain tumor detection: A novel DeepEBTDNet model with LIME on MRI images
Naeem Ullah, Muhammad Hassan, Javed Ali Khan, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Closed Access | Times Cited: 14

EfficientNet and multi-path convolution with multi-head attention network for brain tumor grade classification
Bala Venkateswarlu Isunuri, Jagadeesh Kakarla
Computers & Electrical Engineering (2023) Vol. 108, pp. 108700-108700
Closed Access | Times Cited: 12

Frequent CNN based ensembling for MRI classification for Abnormal Brain Growth detection
Vipul V. Bag, Mahesh B. Patil, Sanika Nagnath Kendre
Journal of Integrated Science and Technology (2024) Vol. 12, Iss. 3
Open Access | Times Cited: 3

Logistic Regression Analysis of LC-MS/MS Data of Monomers Eluted from Aged Dental Composites: A Supervised Machine-Learning Approach
Chien‐Chia Chen, Karabi Mondal, Philippe Vervliet, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 12, pp. 5205-5213
Closed Access | Times Cited: 7

Advancing Brain Tumour Detection and Classification: Knowledge Distilled ResNeXt Model for Multi-Class MRI Analysis
Prathipati Silpa Chaitanya, Susanta Kumar Satpathy
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 2

Real-Time Multi-Feature Approximation Model-Based Efficient Brain Tumor Classification Using Deep Learning Convolution Neural Network Model
Amarendra Reddy Panyala, M. Baskar
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 3, pp. 3883-3899
Open Access | Times Cited: 4

Convolutional Autoencoder-Based medical image compression using a novel annotated medical X-ray imaging dataset
Amina Fettah, Rafik Menassel, Abdeljalil Gattal, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106238-106238
Closed Access | Times Cited: 1

A novel brain tumor segmentation and classification model using deep neural network over MRI-flair images
R. Rajmohan, T. Ananth Kumar, S. G. Sandhya, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1

Enhanced defect detection on wind turbine blades using binary segmentation masks and YOLO
Syed Z. Rizvi, Mohsin Jamil, Weimin Huang
Computers & Electrical Engineering (2024) Vol. 120, pp. 109615-109615
Closed Access | Times Cited: 1

Combining raw data and engineered features for optimizing encrypted and compressed internet of things traffic classification
Mariam M. Saleh, Muhanned AlSlaiman, Mohammed I. Salman, et al.
Computers & Security (2023) Vol. 130, pp. 103287-103287
Closed Access | Times Cited: 2

CNN based Deep Learning Approach for Brain Tumor Detection in MRI Images
Abhay Garg, Aditya Chauhan, Amar Sahgal, et al.
(2023), pp. 834-841
Closed Access | Times Cited: 2

Artificial Intelligence Techniques in Medical Imaging: A Systematic Review
Abdellah Azizi, Mostafa Azizi, M’barek Nasri
International Journal of Online and Biomedical Engineering (iJOE) (2023) Vol. 19, Iss. 17, pp. 66-97
Open Access | Times Cited: 2

Novel Algorithms for Early Cancer Diagnosis Using Transfer Learning with MobileNetV2 in Thermal Images
Swapna Davies, Jaison Jacob
KSII Transactions on Internet and Information Systems (2024) Vol. 18, Iss. 3
Open Access

Automatic Signal Denoising and Multi-Component Fault Classification Based on Deep Learning Using Integrated Condition Monitoring in a Wind Turbine Gearbox
S V V S Narayana Pichika, Vamshi Kasam, G. R. Sabareesh, et al.
Journal of Vibration Engineering & Technologies (2024)
Closed Access

Binary classification of brain tumor using machine learning algorithms
Saurabh Dua, Vasu Chakravarthy, Ishita Sharma
AIP conference proceedings (2024) Vol. 3075, pp. 020181-020181
Closed Access

Detection of brain tumor using Hybridized 3D U-Net model on MRI images
J. Shreeharsha
Multimedia Tools and Applications (2024)
Closed Access

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