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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:

Autonomous inference of complex network dynamics from incomplete and noisy data
Ting-Ting Gao, Gang Yan
Nature Computational Science (2022) Vol. 2, Iss. 3, pp. 160-168
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Higher-order Granger reservoir computing: simultaneously achieving scalable complex structures inference and accurate dynamics prediction
Xin Li, Qunxi Zhu, Chengli Zhao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 11
Early Predictor for the Onset of Critical Transitions in Networked Dynamical Systems
Zijia Liu, Xiaozhu Zhang, Xiaolei Ru, et al.
Physical Review X (2024) Vol. 14, Iss. 3
Open Access | Times Cited: 6
Enhancing Multi-operating Modes Knowledge Embedding and Data Augmentation Method for Final Boiling Point Prediction in Hydrogenation Distillation Unit
Mingyu Liang, Yi Zheng, Shaoyuan Li
Control Engineering Practice (2025) Vol. 158, pp. 106273-106273
Closed Access
Machine learning stochastic dynamics
Ying Tang
Zhongguo kexue. Wulixue Lixue Tianwenxue (2025) Vol. 55, Iss. 10, pp. 100501-100501
Closed Access
Hypergraph reconstruction from dynamics
Robin Delabays, Giulia De Pasquale, Florian Dörfler, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Modeling Dynamics of Community Resilience to Extreme Events with Explainable Deep Learning
Haiyan Hao, Yan Wang
Natural Hazards Review (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 12
Predicting network dynamics without requiring the knowledge of the interaction graph
Bastian Prasse, Piet Van Mieghem
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 44
Open Access | Times Cited: 17
Reconstructing Network Dynamics of Coupled Discrete Chaotic Units from Data
Irem Topal, Deniz Eroglu
Physical Review Letters (2023) Vol. 130, Iss. 11
Open Access | Times Cited: 10
Time series modeling and forecasting of epidemic spreading processes using deep transfer learning
Dong Xue, Ming Wang, Fangzhou Liu, et al.
Chaos Solitons & Fractals (2024) Vol. 185, pp. 115092-115092
Closed Access | Times Cited: 3
Data-driven inference of complex system dynamics: A mini-review
Ting-Ting Gao, Gang Yan
EPL (Europhysics Letters) (2023) Vol. 142, Iss. 1, pp. 11001-11001
Open Access | Times Cited: 7
Efficient parameter inference in networked dynamical systems via steady states: A surrogate objective function approach integrating mean-field and nonlinear least squares
Yanna Ding, Jianxi Gao, Malik Magdon‐Ismail
Physical review. E (2024) Vol. 109, Iss. 3
Closed Access | Times Cited: 2
Uncovering hidden nodes and hidden links in complex dynamic networks
Zhaoyang Zhang, Xinyu Wang, Haihong Li, et al.
Science China Physics Mechanics and Astronomy (2024) Vol. 67, Iss. 4
Open Access | Times Cited: 2
Learning interpretable dynamics of stochastic complex systems from experimental data
Ting-Ting Gao, Baruch Barzel, Gang Yan
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Recent Advances on Penalized Regression Models for Biological Data
Pei Wang, Shunjie Chen, Sijia Yang
Mathematics (2022) Vol. 10, Iss. 19, pp. 3695-3695
Open Access | Times Cited: 12
Deep-learning reconstruction of complex dynamical networks from incomplete data
Xiao Ding, Ling-Wei Kong, Haifeng Zhang, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 4
Open Access | Times Cited: 1
Stepwise reconstruction of higher-order networks from dynamics
Yingbang Zang, Ziye Fan, Z Wang, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 7
Closed Access | Times Cited: 1
Deterministic-like data-driven discovery of stochastic differential equations via the Feynman–Kac formalism
Chaoxiang Ma, Cheng Huang, Cheng Cheng, et al.
The European Physical Journal Special Topics (2024)
Closed Access | Times Cited: 1
Geometric Scaling Law in Real Neuronal Networks
Xin-Ya Zhang, Jack Murdoch Moore, Xiaolei Ru, et al.
Physical Review Letters (2024) Vol. 133, Iss. 13
Closed Access | Times Cited: 1
General optimization framework for accurate and efficient reconstruction of symmetric complex networks from dynamical data
Chuang Ma, Ying–Cheng Lai, Xiang Li, et al.
Physical review. E (2023) Vol. 108, Iss. 3
Closed Access | Times Cited: 4
Data-driven discovery of linear dynamical systems from noisy data
Yasen Wang, Ye Yuan, Huazhen Fang, et al.
Science China Technological Sciences (2023) Vol. 67, Iss. 1, pp. 121-129
Closed Access | Times Cited: 3
Reconstructing dynamics of complex systems from noisy time series with hidden variables
Zishuo Yan, Lili Gui, Kun Xu, et al.
New Journal of Physics (2023) Vol. 25, Iss. 8, pp. 083011-083011
Open Access | Times Cited: 2
Reconstructing networks via discrete state dynamical data: A mini-review
Chuang Ma, Huan Wang, Haifeng Zhang
EPL (Europhysics Letters) (2023) Vol. 144, Iss. 2, pp. 21002-21002
Closed Access | Times Cited: 2
Reconstruction of sparse network dynamics from data
Edmilson Roque dos Santos
(2024)
Open Access
NHCE: A Neural High-Order Causal Entropy Algorithm for Disentangling Coupling Dynamics
Yanyan He, Mingyu Kang, Duxin Chen, et al.
IEEE Transactions on Network Science and Engineering (2024) Vol. 11, Iss. 6, pp. 5930-5942
Closed Access
Generalization of neural network models for complex network dynamics
Vaiva Vasiliauskaite, Nino Antulov-Fantulin
Communications Physics (2024) Vol. 7, Iss. 1
Open Access
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