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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:

Sampling QCD field configurations with gauge-equivariant flow models
Phiala E. Shanahan, Ryan Abbott, Michael S. Albergo, et al.
Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022) (2023)
Open Access | Times Cited: 16

Showing 16 citing articles:

Learning trivializing gradient flows for lattice gauge theories
Simone Bacchio, Pan Kessel, Stefan Schaefer, et al.
Physical review. D/Physical review. D. (2023) Vol. 107, Iss. 5
Open Access | Times Cited: 26
Phase Transition Study Meets Machine Learning
Y. G., Long-Gang Pang, Rui Wang, et al.
Chinese Physics Letters (2023) Vol. 40, Iss. 12, pp. 122101-122101
Open Access | Times Cited: 26
Learning lattice quantum field theories with equivariant continuous flows
Mathis Gerdes, Pim de Haan, Corrado Rainone, et al.
SciPost Physics (2023) Vol. 15, Iss. 6
Open Access | Times Cited: 24
Gauge-equivariant pooling layers for preconditioners in lattice QCD
Christoph Lehner, Tilo Wettig
Physical review. D/Physical review. D. (2024) Vol. 110, Iss. 3
Open Access | Times Cited: 7
Practical applications of machine-learned flows on gauge fields
Daniel C. Hackett, Ryan Abbott, Denis Boyda, et al.
Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022) (2024), pp. 011-011
Open Access | Times Cited: 6
Exploring QCD matter in extreme conditions with Machine Learning
Kai Zhou, Lingxiao Wang, Long-Gang Pang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 10
Multiscale Normalizing Flows for Gauge Theories
Ryan Abbott, Michael S. Albergo, Denis Boyda, et al.
Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022) (2024), pp. 035-035
Open Access | Times Cited: 3
Sampling U(1) gauge theory using a retrainable conditional flow-based model
Ankur Singha, Dipankar Chakrabarti, Vipul Arora
Physical review. D/Physical review. D. (2023) Vol. 108, Iss. 7
Open Access | Times Cited: 5
Simulating first-order phase transition with hierarchical autoregressive networks
P. Białas, Paulina Czarnota, Piotr Korcyl, et al.
Physical review. E (2023) Vol. 107, Iss. 5
Open Access | Times Cited: 4
Parallel tempered metadynamics: Overcoming potential barriers without surfing or tunneling
Timo Eichhorn, Gianluca Fuwa, Christian Hoelbling, et al.
Physical review. D/Physical review. D. (2024) Vol. 109, Iss. 11
Open Access | Times Cited: 1
Sampling U(1) gauge theory using a re-trainable conditional flow-based model
Ankur Singha, Dipankar Chakrabarti, Vikas Arora
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Topology changing update algorithms for SU(3) gauge theory
Timo Eichhorn, Christian Hoelbling, Philip Rouenhoff, et al.
Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022) (2022), pp. 009-009
Open Access | Times Cited: 5
Learning Lattice Quantum Field Theories with Equivariant Continuous Flows
Mathis Gerdes, Pim de Haan, Corrado Rainone, et al.
arXiv (Cornell University) (2022)
Open Access | Times Cited: 4
A comparative lattice analysis of SU(2) dark glueballs*
Wei Wang, Jun-Hui 俊辉 Lai 赖, Wei 伟 Wang 王, et al.
Chinese Physics C (2024) Vol. 48, Iss. 8, pp. 083108-083108
Open Access
Extraction of the microscopic properties of quasiparticles using deep neural networks
Olga Soloveva, Andrea Palermo, Elena Bratkovskaya
Physical review. C (2024) Vol. 110, Iss. 3
Open Access
Parallel Tempered Metadynamics: Overcoming potential barriers without surfing or tunneling
Timo Eichhorn, Gianluca Fuwa, Christian Hoelbling, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
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