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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:

Brain Tumor: Hybrid Feature Extraction Based on UNet and 3DCNN
Sureshkumar Rajagopal, Tamilvizhi Thanarajan, Youseef Alotaibi, et al.
Computer Systems Science and Engineering (2022) Vol. 45, Iss. 2, pp. 2093-2109
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Automated Segmentation of Brain Tumor MRI Images Using Deep Learning
Surendran Rajendran, Suresh Kumar R, Tamilvizhi Thanarajan, et al.
IEEE Access (2023) Vol. 11, pp. 64758-64768
Open Access | Times Cited: 37
Improved wolf swarm optimization with deep-learning-based movement analysis and self-regulated human activity recognition
Tamilvizhi Thanarajan, Youseef Alotaibi, Surendran Rajendran, et al.
AIMS Mathematics (2023) Vol. 8, Iss. 5, pp. 12520-12539
Open Access | Times Cited: 32
Empowering coffee farming using counterfactual recommendation based RNN driven IoT integrated soil quality command system
Raveena Selvanarayanan, Surendran Rajendran, Sameer Algburi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Plant Disease Classification Based on ConvLSTM U-Net with Fully Connected Convolutional Layers
Meshal Alharbi, Suresh Kumar R, Surendran Rajendran, et al.
Traitement du signal (2023) Vol. 40, Iss. 1, pp. 157-166
Open Access | Times Cited: 20
Deep-learning-based intelligent neonatal seizure identification using spatial and spectral GNN optimized with the Aquila algorithm
Madhusundar Nelson, Surendran Rajendran, Osamah Ibrahim Khalaf, et al.
AIMS Mathematics (2024) Vol. 9, Iss. 7, pp. 19645-19669
Open Access | Times Cited: 8
Brain Tumor Detection Using 3D-UNet Segmentation Features and Hybrid Machine Learning Model
Bhargav Mallampati, Abid Ishaq, Furqan Rustam, et al.
IEEE Access (2023) Vol. 11, pp. 135020-135034
Open Access | Times Cited: 14
Reinforcement learning-based AI assistant and VR play therapy game for children with Down syndrome bound to wheelchairs
Joypriyanka Mariselvam, Surendran Rajendran, Youseef Alotaibi
AIMS Mathematics (2023) Vol. 8, Iss. 7, pp. 16989-17011
Open Access | Times Cited: 11
Lung disease classification in chest X-ray images using optimal cross stage partial bidirectional long short term memory
T. Babu, Ganesh Kumar, L Kartheesan, et al.
Journal of X-Ray Science and Technology (2025)
Open Access
3D mineral prospectivity modeling using multi-scale 3D convolution neural network and spatial attention approaches
Xiaohui Li, Yuheng Chen, Yuan Feng, et al.
Geochemistry (2024), pp. 126125-126125
Closed Access | Times Cited: 3
Deep-Hill: An Innovative Cloud Resource Optimization Algorithm by Predicting SaaS Instance Configuration Using Deep Learning
Mahmoud Abouelyazid
IEEE Access (2024) Vol. 12, pp. 92573-92584
Open Access | Times Cited: 2
Vision graph neural network-based neonatal identification to avoid swapping and abduction
Madhusundar Nelson, Surendran Rajendran, Youseef Alotaibi
AIMS Mathematics (2023) Vol. 8, Iss. 9, pp. 21554-21571
Open Access | Times Cited: 6
Histogram-Based Decision Support System for Extraction and Classification of Leukemia in Blood Smear Images
Neenavath Veeraiah, Youseef Alotaibi, Ahmad F. Subahi
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 2, pp. 1879-1900
Open Access | Times Cited: 5
Sustainable Fertilizers in Coffee Plantation: Hybrid Recommendation for Agricultural Producers
S Raveena, R Surendran
2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) (2023), pp. 1664-1671
Closed Access | Times Cited: 5
Hyper Spectral Imaging and Optimized Neural Networks for Early Detection of Grapevine Viral Disease
S. Rajalakshmi, Alagumani Selvaraj, Ananthi Rajakumar, et al.
Traitement du signal (2023) Vol. 40, Iss. 5, pp. 2111-2120
Open Access | Times Cited: 4
Roaming the Coffee Plantations Using Grey Wolves Optimisation and the Restricted Boltzmann Machine to Predict Coffee Berry Disease
Raveena Selvanarayanan, Surendran Rajendran
(2023), pp. 681-689
Closed Access | Times Cited: 4
Distinctive approach in brain tumor detection and feature extraction using biologically inspired DWT method and SVM
Ankit Kumar, Saroj Kumar Pandey, Neeraj Varshney, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Early Detection of Colletotrichum Kahawae Disease in Coffee Cherry Based on Computer Vision Techniques
Raveena Selvanarayanan, Surendran Rajendran, Youseef Alotaibi
Computer Modeling in Engineering & Sciences (2023) Vol. 139, Iss. 1, pp. 759-782
Open Access | Times Cited: 3
The Design and User Evaluation of Body-Transfer System via Sliding Transfer Approach for Assisting Functionally Impaired People
Chyi‐Yeu Lin, Salman Masroor, Bahrudin, et al.
Machines (2023) Vol. 11, Iss. 5, pp. 555-555
Open Access | Times Cited: 2
Genetically Optimized Neural Network for Early Detection of Glaucoma and Cardiovascular Disease Risk Prediction
Sathya Preiya Vadamalai Muthu, V. D. Ambeth Kumar
Traitement du signal (2023) Vol. 40, Iss. 4, pp. 1641-1651
Open Access | Times Cited: 2
Using Hierarchical Agglomerative Clustering in E-Nose for Coffee Aroma Profiling: Identification, Quantification, and Disease Detection
Raveena Selvanarayanan, Surendran Rajandran, Youseef Alotaibi
Instrumentation Mesure Métrologie (2023) Vol. 22, Iss. 4, pp. 127-140
Open Access | Times Cited: 2
Human Voice Recognition System to Predict the Gender using Random Forest Algorithm
Veeramreddy Sunil Kumar Reddy, Saravanan Madderi Sivalingam, R Surendran
(2023) Vol. 30, pp. 946-951
Closed Access | Times Cited: 1
Echo state network for features extraction and segmentation of tomography images
Petia Koprinkova‐Hristova, Ivan Georgiev, Miryana Raykovska
Computer Science and Information Systems (2023) Vol. 21, Iss. 1, pp. 379-393
Open Access | Times Cited: 1
CheckersMind: Enhancing Cognitive Ability in Dimentia Patients Through Checkers Game Therapy with Chatbot
M Joypriyanka, R Surendran
(2023), pp. 924-929
Closed Access | Times Cited: 1
Recommending the Right Biofertilizer Using Deep Collaborative Matrix Factorization in the Coffee Plantation
S Raveena, R Surendran
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2023), pp. 476-482
Closed Access | Times Cited: 1
Brain tumor Radiogenomic Classification and Prediction of Glioblastoma Status using MRI Scans with Deep Learning Algorithms
Nabil M. AbdelAziz, Emad Abdelaziz Dawood, Mohamed Monir Hassan, et al.
Research Square (Research Square) (2024)
Open Access
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