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:
Why KDAC? A general activation function for knowledge discovery
Zhenhua Wang, Haozhe Liu, Fanglin Liu, et al.
Neurocomputing (2022) Vol. 501, pp. 343-358
Open Access | Times Cited: 8
Zhenhua Wang, Haozhe Liu, Fanglin Liu, et al.
Neurocomputing (2022) Vol. 501, pp. 343-358
Open Access | Times Cited: 8
Showing 8 citing articles:
When grey model meets deep learning: A new hazard classification model
Fuqian Zhang, Bin Wang, Dong Gao, et al.
Information Sciences (2024) Vol. 670, pp. 120653-120653
Closed Access | Times Cited: 3
Fuqian Zhang, Bin Wang, Dong Gao, et al.
Information Sciences (2024) Vol. 670, pp. 120653-120653
Closed Access | Times Cited: 3
A new hazard event classification model via deep learning and multifractal
Zhenhua Wang, Bin Wang, Ming Ren, et al.
Computers in Industry (2023) Vol. 147, pp. 103875-103875
Closed Access | Times Cited: 8
Zhenhua Wang, Bin Wang, Ming Ren, et al.
Computers in Industry (2023) Vol. 147, pp. 103875-103875
Closed Access | Times Cited: 8
A new multifractal-based deep learning model for text mining
Zhenhua Wang, Fuqian Zhang, Ming Ren, et al.
Information Processing & Management (2023) Vol. 61, Iss. 1, pp. 103561-103561
Open Access | Times Cited: 8
Zhenhua Wang, Fuqian Zhang, Ming Ren, et al.
Information Processing & Management (2023) Vol. 61, Iss. 1, pp. 103561-103561
Open Access | Times Cited: 8
A Zipf's law-based text generation approach for addressing imbalance in entity extraction
Zhenhua Wang, Ming Ren, Dong Gao, et al.
Journal of Informetrics (2023) Vol. 17, Iss. 4, pp. 101453-101453
Open Access | Times Cited: 7
Zhenhua Wang, Ming Ren, Dong Gao, et al.
Journal of Informetrics (2023) Vol. 17, Iss. 4, pp. 101453-101453
Open Access | Times Cited: 7
Implementation of deep neural networks and statistical methods to predict the resilient modulus of soils
Rodrigo Polo-Mendoza, José Duque, David Maš́ın, et al.
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 5
Rodrigo Polo-Mendoza, José Duque, David Maš́ın, et al.
International Journal of Pavement Engineering (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 5
Prediction of California bearing ratio and modified proctor parameters using deep neural networks and multiple linear regression: A case study of granular soils
Rodrigo Polo-Mendoza, José Duque, David Maš́ın
Case Studies in Construction Materials (2023) Vol. 20, pp. e02800-e02800
Open Access | Times Cited: 5
Rodrigo Polo-Mendoza, José Duque, David Maš́ın
Case Studies in Construction Materials (2023) Vol. 20, pp. e02800-e02800
Open Access | Times Cited: 5
A novel large-language-model-driven framework for named entity recognition
Zhenhua Wang, H. S. Chen, Guang Xu, et al.
Information Processing & Management (2024) Vol. 62, Iss. 3, pp. 104054-104054
Closed Access
Zhenhua Wang, H. S. Chen, Guang Xu, et al.
Information Processing & Management (2024) Vol. 62, Iss. 3, pp. 104054-104054
Closed Access
Adaptive activation functions for predictive modeling with sparse experimental data
Farhad Pourkamali‐Anaraki, Tahamina Nasrin, Robert E. Jensen, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18297-18311
Closed Access
Farhad Pourkamali‐Anaraki, Tahamina Nasrin, Robert E. Jensen, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 29, pp. 18297-18311
Closed Access
