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:
Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach
Matthew Mumpower, Mengke Li, Trevor Sprouse, et al.
Frontiers in Physics (2023) Vol. 11
Open Access | Times Cited: 8
Matthew Mumpower, Mengke Li, Trevor Sprouse, et al.
Frontiers in Physics (2023) Vol. 11
Open Access | Times Cited: 8
Showing 8 citing articles:
Nuclear mass predictions using machine learning models
Esra Yüksel, Derya Soydaner, H. Bahtiyar
Physical review. C (2024) Vol. 109, Iss. 6
Open Access | Times Cited: 8
Esra Yüksel, Derya Soydaner, H. Bahtiyar
Physical review. C (2024) Vol. 109, Iss. 6
Open Access | Times Cited: 8
Nuclear mass predictions with the naive Bayesian model averaging method
Xueyong Zhang, Wanzhi Li, Jing Fang, et al.
Nuclear Physics A (2024) Vol. 1043, pp. 122820-122820
Closed Access | Times Cited: 5
Xueyong Zhang, Wanzhi Li, Jing Fang, et al.
Nuclear Physics A (2024) Vol. 1043, pp. 122820-122820
Closed Access | Times Cited: 5
Uncertainty quantification of mass models using ensemble Bayesian model averaging
Y. Saito, I. Dillmann, R. Krücken, et al.
Physical review. C (2024) Vol. 109, Iss. 5
Open Access | Times Cited: 4
Y. Saito, I. Dillmann, R. Krücken, et al.
Physical review. C (2024) Vol. 109, Iss. 5
Open Access | Times Cited: 4
Discovering nuclear models from symbolic machine learning
Jose M. Muñoz, Silviu M. Udrescu, R. F. García Ruíz
Communications Physics (2025) Vol. 8, Iss. 1
Open Access
Jose M. Muñoz, Silviu M. Udrescu, R. F. García Ruíz
Communications Physics (2025) Vol. 8, Iss. 1
Open Access
Local Bayesian Dirichlet mixing of imperfect models
Vojtech Kejzlar, Léo Neufcourt, W. Nazarewicz
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Vojtech Kejzlar, Léo Neufcourt, W. Nazarewicz
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Investigating the effects of precise mass measurements of Ru and Pd isotopes on machine learning mass modeling
W. S. Porter, B Liu, D. Ray, et al.
Physical review. C (2024) Vol. 110, Iss. 3
Open Access | Times Cited: 1
W. S. Porter, B Liu, D. Ray, et al.
Physical review. C (2024) Vol. 110, Iss. 3
Open Access | Times Cited: 1
Nuclear mass predictions using machine learning models
Esra Yüksel, Derya Soydaner, H. Bahtiyar
arXiv (Cornell University) (2024)
Open Access
Esra Yüksel, Derya Soydaner, H. Bahtiyar
arXiv (Cornell University) (2024)
Open Access
Power-moderated mean method in nuclear mass predictions
Xiaoyan Zhang, Haoran Liu, Lan Liu, et al.
Physical review. C (2024) Vol. 110, Iss. 4
Closed Access
Xiaoyan Zhang, Haoran Liu, Lan Liu, et al.
Physical review. C (2024) Vol. 110, Iss. 4
Closed Access
