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:
Toward dynamic stability assessment of power grid topologies using graph neural networks
Christian Nauck, Michael Lindner, Konstantin Schürholt, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 10
Open Access | Times Cited: 7
Christian Nauck, Michael Lindner, Konstantin Schürholt, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 10
Open Access | Times Cited: 7
Showing 7 citing articles:
Improving power-grid systems via topological changes or how self-organized criticality can help power grids
Géza Ódor, I. Papp, Kristóf Benedek, et al.
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 2
Géza Ódor, I. Papp, Kristóf Benedek, et al.
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 2
A framework for synthetic power system dynamics
Anna Büttner, Anton Plietzsch, Mehrnaz Anvari, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 8
Open Access | Times Cited: 5
Anna Büttner, Anton Plietzsch, Mehrnaz Anvari, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2023) Vol. 33, Iss. 8
Open Access | Times Cited: 5
Recent achievements in nonlinear dynamics, synchronization, and networks
Dibakar Ghosh, Norbert Marwan, Michael Small, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 10
Closed Access | Times Cited: 1
Dibakar Ghosh, Norbert Marwan, Michael Small, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 10
Closed Access | Times Cited: 1
SAMSGL: Series-aligned multi-scale graph learning for spatiotemporal forecasting
Xiaobei Zou, Luolin Xiong, Yang Tang, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 6
Open Access
Xiaobei Zou, Luolin Xiong, Yang Tang, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 6
Open Access
Reinforcement learning optimizes power dispatch in decentralized power grid
Yong‐Sun Lee, Hoyun Choi, Laurent Pagnier, et al.
Chaos Solitons & Fractals (2024) Vol. 186, pp. 115293-115293
Open Access
Yong‐Sun Lee, Hoyun Choi, Laurent Pagnier, et al.
Chaos Solitons & Fractals (2024) Vol. 186, pp. 115293-115293
Open Access
Physics-informed line graph neural network for power flow calculation
Haifeng Zhang, Xinlong Lu, Xiao Ding, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 11
Closed Access
Haifeng Zhang, Xinlong Lu, Xiao Ding, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 11
Closed Access
Graph neural networks for power grid operational risk assessment under evolving unit commitment
Yadong Zhang, Pranav Karve, Sankaran Mahadevan
Applied Energy (2024) Vol. 380, pp. 124793-124793
Closed Access
Yadong Zhang, Pranav Karve, Sankaran Mahadevan
Applied Energy (2024) Vol. 380, pp. 124793-124793
Closed Access
