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:
Experimental Analysis on Breast Cancer Using Random Forest Classifier on Histopathological Images
G. Ramkumar, G. Sajiv
(2023), pp. 797-805
Closed Access | Times Cited: 8
G. Ramkumar, G. Sajiv
(2023), pp. 797-805
Closed Access | Times Cited: 8
Showing 8 citing articles:
Fraud Detection in E-commerce Transactions: A Machine Learning Perspective
Geetha Manoharan, Sara Ali, Manoj Sathe, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-5
Closed Access | Times Cited: 2
Geetha Manoharan, Sara Ali, Manoj Sathe, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-5
Closed Access | Times Cited: 2
Exploring Synonymy: Artificial Intelligence’s Computational Analysis of its Relationships with Other Lexical Systems
Usmanova Saliha Yuldashevna, Vokhidova Nigora Abduzugurovna, Toshbekova Dilorom Ismoilovna, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-6
Closed Access
Usmanova Saliha Yuldashevna, Vokhidova Nigora Abduzugurovna, Toshbekova Dilorom Ismoilovna, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-6
Closed Access
Deep Learning -Enhanced Image Segmentation for Medical Diagnostics
V. Malathy, Niladri Maiti, Nithin Kumar, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-6
Closed Access
V. Malathy, Niladri Maiti, Nithin Kumar, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-6
Closed Access
Assessing the Efficacy and Influence of Learning Objectives via Natural Language Processing Algorithms and Machine Learning Techniques
Soni Maitrik Chandrakant
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-6
Closed Access
Soni Maitrik Chandrakant
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-6
Closed Access
Automated Segmentation of Brain Tumor MRI Images Using Machine Learning
P. Meenakshidevi, P Kalyanasundaram, S. Kumar
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-7
Closed Access
P. Meenakshidevi, P Kalyanasundaram, S. Kumar
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-7
Closed Access
Robotics and AI Integration for Automated Surgical Procedures
Kasharaju Balakrishna, Praveen Kumar, Md. Shakil Hossain Ridoy, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-5
Closed Access
Kasharaju Balakrishna, Praveen Kumar, Md. Shakil Hossain Ridoy, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-5
Closed Access
REDOSE - Real-Time Domestic product Service Provider
R. Megala, S Yalini, P. S. Srinidhi, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-5
Closed Access
R. Megala, S Yalini, P. S. Srinidhi, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-5
Closed Access
Machine Learning Methodologies for Predicting Autism Spectrum Disorder across Generations
F Keren, F Keziah, T Rubesh Kumar, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-5
Closed Access
F Keren, F Keziah, T Rubesh Kumar, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2024), pp. 1-5
Closed Access
