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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:

Introduction to Focus Issue: When machine learning meets complex systems: Networks, chaos, and nonlinear dynamics
Yang Tang, Jürgen Kurths, Wei Lin, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2020) Vol. 30, Iss. 6
Closed Access | Times Cited: 101

Showing 1-25 of 101 citing articles:

Cooperative and Competitive Multi-Agent Systems: From Optimization to Games
Jianrui Wang, Yitian Hong, Jiali Wang, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 9, Iss. 5, pp. 763-783
Closed Access | Times Cited: 80
A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
Md Mahadi Hasan Imran, Shahrizan Jamaludin, Ahmad Faisal Mohamad Ayob
Ocean Engineering (2024) Vol. 295, pp. 116796-116796
Closed Access | Times Cited: 18
Embedding theory of reservoir computing and reducing reservoir network using time delays
Xing-Yue Duan, Ying Xiong, Siyang Leng, et al.
Physical Review Research (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 31
Waves traveling over a map of visual space can ignite short-term predictions of sensory input
Gabriel Benigno, Roberto C. Budzinski, Zachary W. Davis, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 22
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
Deep learning-based state prediction of the Lorenz system with control parameters
Xiaolong Wang, Jing Feng, Yong Xu, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2024) Vol. 34, Iss. 3
Closed Access | Times Cited: 7
A time-averaged method to analyze slender rods moving in tubes
Feng Wu, Ke Zhao, Xuanlong Wu, et al.
International Journal of Mechanical Sciences (2024) Vol. 279, pp. 109510-109510
Closed Access | Times Cited: 6
Inferring attracting basins of power system with machine learning
Yao Du, Qing Li, Huawei Fan, et al.
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 5
An encoder–decoder architecture with Fourier attention for chaotic time series multi-step prediction
Ke Fu, He Li, Xiaotian Shi
Applied Soft Computing (2024) Vol. 156, pp. 111409-111409
Closed Access | Times Cited: 5
Predictors of oil shocks. Econophysical approach in environmental science
Andrii Bielinskyi, Inesa Khvostina, A Mamanazarov, et al.
IOP Conference Series Earth and Environmental Science (2021) Vol. 628, Iss. 1, pp. 012019-012019
Open Access | Times Cited: 34
Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation laws
Jingdong Zhang, Qunxi Zhu, Wei Lin
Physical Review Research (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 5
Human–Machine Cooperative Vehicle Control Based on Driving Intention and Risk Avoidance
Yong Guan, LI Nin, Pengzhan Chen, et al.
International Journal of Automotive Technology (2025)
Closed Access
Reconstructing attractors with autoencoders
Facundo Fainstein, Gabriel B. Mindlin, Pablo Groisman
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 1
Open Access
An efficient prediction and historical matching method for reservoir dynamics using advanced attention-based vision transformer
Wenbo Liu, Yingzhu Guan, Xue Hui Yan, et al.
Physics of Fluids (2025) Vol. 37, Iss. 1
Closed Access
Dynamically identify important nodes in the hypergraph based on the ripple diffusion and ant colony collaboration model
Peng Wang, Guang Ling, Zhao Pei, et al.
Journal of Network and Computer Applications (2025), pp. 104107-104107
Closed Access
Extreme events in the Higgs oscillator: A dynamical study and forecasting approach
Wasif Ahamed M, R. Kavitha, V. Chithiika Ruby, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2025) Vol. 35, Iss. 2
Open Access
Predicting three-dimensional chaotic systems with four qubit quantum systems
Joel Steinegger, Christoph Räth
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Extreme events in a complex network: Interplay between degree distribution and repulsive interaction
Arnob Ray, Timo Bröhl, Arindam Mishra, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2022) Vol. 32, Iss. 12
Open Access | Times Cited: 19
Comparing Machine Learning and PLSDA Algorithms for Durian Pulp Classification Using Inline NIR Spectra
Dharma Raj Pokhrel, Panmanas Sirisomboon, Lampan Khurnpoon, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5327-5327
Open Access | Times Cited: 12
Breaking symmetries of the reservoir equations in echo state networks
Joschka Herteux, Christoph Räth
Chaos An Interdisciplinary Journal of Nonlinear Science (2020) Vol. 30, Iss. 12
Open Access | Times Cited: 31
Chaotic time series prediction using DTIGNet based on improved temporal-inception and GRU
Ke Fu, He Li, Pengfei Deng
Chaos Solitons & Fractals (2022) Vol. 159, pp. 112183-112183
Closed Access | Times Cited: 18
Hierarchical Echo State Network With Sparse Learning: A Method for Multidimensional Chaotic Time Series Prediction
Xiaodong Na, Weijie Ren, M.C. Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 11, pp. 9302-9313
Closed Access | Times Cited: 17
Model selection of chaotic systems from data with hidden variables using sparse data assimilation
Helena Ribera, Sasha Shirman, A. V. Nguyen, et al.
Chaos An Interdisciplinary Journal of Nonlinear Science (2022) Vol. 32, Iss. 6
Open Access | Times Cited: 16
Model scale versus domain knowledge in statistical forecasting of chaotic systems
William Gilpin
Physical Review Research (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 9
Asset management, condition monitoring and Digital Twins: damage detection and virtual inspection on a reinforced concrete bridge
Arnulf Hagen, T. Andersen
Structure and Infrastructure Engineering (2024) Vol. 20, Iss. 7-8, pp. 1242-1273
Open Access | Times Cited: 3
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