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 Generative Adversarial Network Structure for Learning with Small Numerical Data Sets
Der‐Chiang Li, Szu-Chou Chen, Yao-San Lin, et al.
Applied Sciences (2021) Vol. 11, Iss. 22, pp. 10823-10823
Open Access | Times Cited: 7
Der‐Chiang Li, Szu-Chou Chen, Yao-San Lin, et al.
Applied Sciences (2021) Vol. 11, Iss. 22, pp. 10823-10823
Open Access | Times Cited: 7
Showing 7 citing articles:
Energy absorption analysis of origami structures based on small number of samples using conditional GAN
Dian Zhang, A. K. Qin, Shirley Shen, et al.
Thin-Walled Structures (2023) Vol. 188, pp. 110772-110772
Open Access | Times Cited: 13
Dian Zhang, A. K. Qin, Shirley Shen, et al.
Thin-Walled Structures (2023) Vol. 188, pp. 110772-110772
Open Access | Times Cited: 13
Regression, classification, and clustering algorithms
Shantilata Palei, Rakesh Kumar Lenka, Priyanka Jain, et al.
Elsevier eBooks (2025), pp. 23-62
Closed Access
Shantilata Palei, Rakesh Kumar Lenka, Priyanka Jain, et al.
Elsevier eBooks (2025), pp. 23-62
Closed Access
Generating Synthetic Datasets with Deep Learning Models for Human Physical Fatigue Analysis
Arsalan Lambay, Ying Liu, Phillip L. Morgan, et al.
Machines (2025) Vol. 13, Iss. 3, pp. 235-235
Open Access
Arsalan Lambay, Ying Liu, Phillip L. Morgan, et al.
Machines (2025) Vol. 13, Iss. 3, pp. 235-235
Open Access
Prediction of Mechanical Properties of Austenitic Stainless Steels with the Use of Synthetic Data via Generative Adversarial Networks
Desmarita Leni, Dytchia Septi Kesuma, Maimuzar, et al.
(2024), pp. 4-4
Open Access | Times Cited: 1
Desmarita Leni, Dytchia Septi Kesuma, Maimuzar, et al.
(2024), pp. 4-4
Open Access | Times Cited: 1
Augmenting small biomedical datasets using generative AI methods based on self-organizing neural networks
Alfred Ultsch, Jörn Lötsch
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
Alfred Ultsch, Jörn Lötsch
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
Framework Integrating Generative Model with Diffusion Technique to Improve Virtual Sample Generation
Yao-San Lin, Mei‐Ling Huang, Der‐Chiang Li, et al.
Sensors and Materials (2024) Vol. 36, Iss. 6, pp. 2439-2439
Open Access
Yao-San Lin, Mei‐Ling Huang, Der‐Chiang Li, et al.
Sensors and Materials (2024) Vol. 36, Iss. 6, pp. 2439-2439
Open Access
An Integrated Framework Based on GAN and RBI for Learning with Insufficient Datasets
Yao-San Lin, Liang-Sian Lin, Chih-Ching Chen
Symmetry (2022) Vol. 14, Iss. 2, pp. 339-339
Open Access | Times Cited: 1
Yao-San Lin, Liang-Sian Lin, Chih-Ching Chen
Symmetry (2022) Vol. 14, Iss. 2, pp. 339-339
Open Access | Times Cited: 1
