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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:

Variational Autoencoders-BasedSelf-Learning Model for Tumor Identification and Impact Analysis from 2-D MRI Images
Parvathaneni Naga Srinivasu, T. Balamurali Krishna, Shakeel Ahmed, et al.
Journal of Healthcare Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Researching public health datasets in the era of deep learning: a systematic literature review
Rand Obeidat, Izzat Alsmadi, Qanita Bani Baker, et al.
Health Informatics Journal (2025) Vol. 31, Iss. 1
Open Access | Times Cited: 1
Taylor African vulture optimization algorithm with hybrid deep convolution neural network for image captioning system
Chengamma Chitteti, K. Reddy Madhavi
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 66393-66411
Closed Access | Times Cited: 9
DIC-Transformer: interpretation of plant disease classification results using image caption generation technology
Qingtian Zeng, Jian Sun, Shansong Wang
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 6
Deep learning for personalized health monitoring and prediction: A review
Robertas Damaševičius, Senthil Kumar Jagatheesaperumal, Kandala N. V. P. S. Rajesh, et al.
Computational Intelligence (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 5
Enhancing medical image classification via federated learning and pre-trained model
Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, et al.
Egyptian Informatics Journal (2024) Vol. 27, pp. 100530-100530
Open Access | Times Cited: 5
Unveiling Multi-disease Prediction Using Machine Learning: A Comprehensive Study
Arushi Sekhar Deo, Sushree Bibhuprada B. Priyadarshini, Yulia Kumar, et al.
Studies in computational intelligence (2025), pp. 157-176
Closed Access
IRE: Improved Image Super-Resolution Based on Real-ESRGAN
Zhengwei Zhu, Yushi Lei, Yilin Qin, et al.
IEEE Access (2023) Vol. 11, pp. 45334-45348
Open Access | Times Cited: 14
Graph Neural Network Operators: a Review
Anuj Sharma, Sukhdeep Singh, Sujay Ratna
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23413-23436
Closed Access | Times Cited: 12
Retinal blood vessel segmentation using a deep learning method based on modified U-NET model
Sanjeewani, Arun Kumar Yadav, M. Bilal Akbar, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 82659-82678
Closed Access | Times Cited: 4
Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2–4 glioma patients: a deep Radiomics Approach
Jialin Yuan, Loizos Siakallis, Hongwei Li, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
The potential of generative AI with prostate-specific membrane antigen (PSMA) PET/CT: challenges and future directions
Md Zobaer Islam, Ergi Spiro, Pew‐Thian Yap, et al.
Medical Review (2025)
Open Access
Automatic detection of standing dead trees based on improved YOLOv7 from airborne remote sensing imagery
Hongwei Zhou, Shangxin Wu, Zihan Xu, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 3
CBCD: Comprehensive Analysis for Bone Cancer Diagnosis through MRI Imaging
Parvathaneni Naga Srinivasu, Valluri Sri Sravya, Vusala Deepak Tagore, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 3
Screening of adolescent idiopathic scoliosis using generative adversarial network (GAN) inversion method in chest radiographs
Jun Soo Lee, Keewon Shin, Seung Min Ryu, et al.
PLoS ONE (2023) Vol. 18, Iss. 5, pp. e0285489-e0285489
Open Access | Times Cited: 7
Combining CNNs and Bi-LSTMs for Enhanced Network Intrusion Detection: A Deep Learning Approach
S. Phani Praveen, S Sindhura, Parvathaneni Naga Srinivasu, et al.
(2023), pp. 261-268
Closed Access | Times Cited: 7
Reduction of NIFTI files storage and compression to facilitate telemedicine services based on quantization hiding of downsampling approach
Ahmed Elhadad, Mona Jamjoom, Hussein Abulkasim
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Unsupervised classification of multi-contrast magnetic resonance histology of peripheral arterial disease lesions using a convolutional variational autoencoder with a Gaussian mixture model in latent space: A technical feasibility study
Judit Csőre, Trisha Roy, Graham Wright, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 115, pp. 102372-102372
Closed Access | Times Cited: 2
Detection and Segmentation of Glioma Tumors Utilizing a UNet Convolutional Neural Network Approach with Non-Subsampled Shearlet Transform
M. Tamilarasi, S. Kumarganesh, K. Martin Sagayam, et al.
Journal of Computational Biology (2024) Vol. 31, Iss. 8, pp. 757-768
Closed Access | Times Cited: 1
Pneumonia Detection from X-ray images using Federated Learning- An unsupervised learning approach
Neeta Rana, Hitesh Marwaha
Measurement Sensors (2024), pp. 101410-101410
Open Access | Times Cited: 1
Deep Learning for Personalized Health Monitoring and Prediction: A Review
Kandala N. V. P. S. Rajesh, Robertas Damaševicˇius, Senthil Kumar Jagatheesaperumal, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 2
Auto encoder-guided Feature Extraction for Pneumonia Identification from Chest X-ray Images
Neeta Rana, Hitesh Marwaha
E3S Web of Conferences (2024) Vol. 556, pp. 01011-01011
Open Access
Applications of Generative Artificial Intelligence in Brain MRI Image Analysis for Brain Disease Diagnosis
Zhaomin Yao, Zhen Wang, Weiming Xie, et al.
(2024) Vol. 1, Iss. 2
Closed Access
Variational bayesian clustering algorithm for unsupervised anomalous sound detection incorporating VH-BCL+
Zhongqin Bi, Huanfeng Li, Weina Zhang, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 43777-43800
Closed Access | Times Cited: 1
Brain tumor magnetic resonance images enhanced by hybrid method based on deep learning paradigm
Mehmet Gül, Yılmaz Kaya
Research Square (Research Square) (2023)
Open Access
AAL with Deep Learning to Classify the Diseases Remotely from the Image Data
A. Sharmila, E. Priya, K. S. Tamilselvan, et al.
Studies in computational intelligence (2023), pp. 105-127
Closed Access
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