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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:

Design of Accurate Classification of COVID-19 Disease in X-Ray Images Using Deep Learning Approach
Joy Iong‐Zong Chen
Journal of ISMAC (2021) Vol. 2, Iss. 2, pp. 132-148
Closed Access | Times Cited: 99

Showing 26-50 of 99 citing articles:

Heart Disease Prediction using an optimized Extreme Learning Machine with Bacterial Colony optimization
P. Vigneshvaran, A. Vijaya Kathiravan
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) (2022), pp. 1425-1429
Closed Access | Times Cited: 6
Intelligent Multi-Agent Reinforcement Learning Based Disease Prediction and Treatment Recommendation Model
Thota Radha Rajesh, Surendran Rajendran
2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) (2022)
Closed Access | Times Cited: 6
Review on Image Recoloring Methods for Efficient Naturalness by Coloring Data Modeling Methods for Low Visual Deficiency
A. Pasumpon Pandian
Journal of Artificial Intelligence and Capsule Networks (2021) Vol. 3, Iss. 3, pp. 169-183
Open Access | Times Cited: 8
Prediction of Breast Cancer using Machine Learning Algorithms
Anuj Mangal, Vinod Jain
2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) (2021)
Closed Access | Times Cited: 8
Digital transformation in healthcare using eagle perching optimizer with deep learning model
R. Thilagavathy, J. Jagadeesan, A. Parkavi, et al.
Expert Systems (2023) Vol. 42, Iss. 1
Closed Access | Times Cited: 3
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study
Alexandros Shikun Zhang, Naomi Fengqi Li
Lecture notes in networks and systems (2022), pp. 198-216
Closed Access | Times Cited: 5
COVID-19 Detection Through Deep Learning Algorithms using Chest X-ray Images
Tanzim Hossain, Nusrat Jahan, Md. Sakib Ali Mazumder, et al.
2022 3rd International Conference on Smart Electronics and Communication (ICOSEC) (2022), pp. 1324-1330
Closed Access | Times Cited: 4
Arithmetic Optimization Algorithm with Deep Learning-Based Medical X-Ray Image Classification Model
Tarun Kumar, R. Ponnusamy
Lecture notes in networks and systems (2023), pp. 563-578
Closed Access | Times Cited: 2
Robust Medical X-Ray Image Classification by Deep Learning with Multi-Versus Optimizer
Thirugnanam Kumar, R. Ponnusamy
Engineering Technology & Applied Science Research (2023) Vol. 13, Iss. 4, pp. 111406-11411
Open Access | Times Cited: 2
Kidney Stone Detection Using Deep Learning and Transfer Learning
Sesha Vidhya S, D Vishmitha, K Yoshika, et al.
2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) (2022), pp. 987-992
Closed Access | Times Cited: 4
A Performance Study on Deep Learning Covid-19 Prediction through Chest X-Ray Image with ResNet50 Model
Dhirendra Kumar, Pulkit Sharma, Anupama Anupama, et al.
2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) (2022), pp. 1-7
Closed Access | Times Cited: 3
A Comprehending Deep Learning Approach for Disease Classification
Ankita Nainwal, Bhaskar Pant, Garima Sharma
Lecture notes in networks and systems (2022), pp. 113-122
Closed Access | Times Cited: 3
Identification of bone fracture lesions in digital X-ray images using MSFF and MSFD method
M. Swathy, S. Logesh Kumar, T. Arunkumar, et al.
2022 6th International Conference on Electronics, Communication and Aerospace Technology (2022), pp. 208-213
Closed Access | Times Cited: 3
Mask Detection in Crowded Environment using Machine Learning
A. Balasundaram, Naveen Kumar M, Arun Kumar Sivaraman, et al.
2021 2nd International Conference on Smart Electronics and Communication (ICOSEC) (2021), pp. 1202-1206
Closed Access | Times Cited: 4
Transfer Learning-Based Approach for Identification of COVID-19
Atul Kumar Uttam
2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) (2021), pp. 397-401
Closed Access | Times Cited: 4
Transformative Approach for Prediction of Lung Disease Using Lung X-ray Images
S. P. Mehra, Sunil Kumar Singh, Sudhakar Kumar, et al.
Research Square (Research Square) (2024)
Open Access
Kidney Stone Detection and Stone Analysis Using Image Processing
Mr. Narasimha Raju Paka
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 5, pp. 3977-3982
Open Access
IoT-based trusted wireless communication framework by machine learning approach
S. Chakaravarthi, S. Saravanan, M. Jagadeesh, et al.
Measurement Sensors (2024) Vol. 34, pp. 101271-101271
Open Access
Flower pollination-enhanced CNN for lung disease diagnosis
Kevisino Khate, Bam Bahadur Sinha, Arambam Neelima
The Computer Journal (2024)
Closed Access
Automated Pneumonia Detection Using Manta Ray Optimizer with Deep Learning Approaches
M M Sabaresh, Fidin Sabri Shahin, M. Senthil Raja
(2024), pp. 1047-1053
Closed Access
Spatial-Slice Feature Learning Using Visual Transformer and Essential Slices Selection Module for COVID-19 Detection of CT Scans in the Wild
Chih–Chung Hsu, Chi-Han Tsai, Guanlin Chen, et al.
Lecture notes in computer science (2023), pp. 621-634
Closed Access | Times Cited: 1
A Brief Overview of Deep Learning-Based Diagnostic Systems for the Detection of COVID-19 Using Medical Imaging
Gouri Shankar Chakraborty, Salil Batra
Advances in intelligent systems and computing (2023), pp. 305-322
Closed Access | Times Cited: 1
Depthwise convolution based pyramid ResNet model for accurate detection of COVID-19 from chest X-Ray images
K. G. Satheesh Kumar, V. Arunachalam
The Imaging Science Journal (2023) Vol. 72, Iss. 4, pp. 540-556
Closed Access | Times Cited: 1
Classification Of Chest X-ray Images Of Covid-19 By Deep Learning Based CNN Model and Attention Mechanism
Amishi Agrawal
(2023), pp. 1-6
Closed Access | Times Cited: 1
CAD system for intelligent grading of COVID-19 severity with green computing and low carbon footprint analysis
Ibrahim Shawky Farahat, Waleed Aladrousy, Mohamed Elhoseny, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 121108-121108
Closed Access | Times Cited: 1

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