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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:

Two-stage Gradient-based Iterative Estimation Methods for Controlled Autoregressive Systems Using the Measurement Data
Feng Ding, Lei Lv, Jian Pan, et al.
International Journal of Control Automation and Systems (2019) Vol. 18, Iss. 4, pp. 886-896
Closed Access | Times Cited: 177

Showing 1-25 of 177 citing articles:

Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
Yan Ji, Jiang Xiao-kun, Lijuan Wan
Journal of the Franklin Institute (2020) Vol. 357, Iss. 8, pp. 5019-5032
Closed Access | Times Cited: 196
Separable Newton Recursive Estimation Method Through System Responses Based on Dynamically Discrete Measurements with Increasing Data Length
Ling Xu
International Journal of Control Automation and Systems (2022) Vol. 20, Iss. 2, pp. 432-443
Closed Access | Times Cited: 189
Parameter estimation for block‐oriented nonlinear systems using the key term separation
Yan Ji, Chen Zhang, Zhen Kang, et al.
International Journal of Robust and Nonlinear Control (2020) Vol. 30, Iss. 9, pp. 3727-3752
Closed Access | Times Cited: 188
Maximum Likelihood Least Squares Based Iterative Estimation for a Class of Bilinear Systems Using the Data Filtering Technique
Meihang Li, Ximei Liu
International Journal of Control Automation and Systems (2019) Vol. 18, Iss. 6, pp. 1581-1592
Closed Access | Times Cited: 185
Least squares parameter estimation and multi-innovation least squares methods for linear fitting problems from noisy data
Feng Ding
Journal of Computational and Applied Mathematics (2023) Vol. 426, pp. 115107-115107
Closed Access | Times Cited: 174
Maximum likelihood hierarchical least squares‐based iterative identification for dual‐rate stochastic systems
Meihang Li, Ximei Liu
International Journal of Adaptive Control and Signal Processing (2020) Vol. 35, Iss. 2, pp. 240-261
Closed Access | Times Cited: 173
Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems
Yan Ji, Zhen Kang
International Journal of Robust and Nonlinear Control (2020) Vol. 31, Iss. 3, pp. 971-987
Closed Access | Times Cited: 170
A Recursive Parameter Estimation Algorithm for Modeling Signals with Multi-frequencies
Ling Xu, Guanglei Song
Circuits Systems and Signal Processing (2020) Vol. 39, Iss. 8, pp. 4198-4224
Closed Access | Times Cited: 157
Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
Yamin Fan, Ximei Liu
International Journal of Robust and Nonlinear Control (2020) Vol. 30, Iss. 14, pp. 5492-5509
Closed Access | Times Cited: 151
Human activity recognition based on multienvironment sensor data
Yang Li, Guanci Yang, Zhidong Su, et al.
Information Fusion (2022) Vol. 91, pp. 47-63
Closed Access | Times Cited: 148
Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model
Feng Ding, Ling Xu, Dandan Meng, et al.
Journal of Computational and Applied Mathematics (2019) Vol. 369, pp. 112575-112575
Open Access | Times Cited: 146
Separable Multi-innovation Newton Iterative Modeling Algorithm for Multi-frequency Signals Based on the Sliding Measurement Window
Ling Xu
Circuits Systems and Signal Processing (2021) Vol. 41, Iss. 2, pp. 805-830
Closed Access | Times Cited: 143
Adaptive parameter estimation for a general dynamical system with unknown states
Xiao Zhang, Feng Ding
International Journal of Robust and Nonlinear Control (2020) Vol. 30, Iss. 4, pp. 1351-1372
Closed Access | Times Cited: 137
Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity
Ximei Liu, Yamin Fan
International Journal of Robust and Nonlinear Control (2021) Vol. 31, Iss. 9, pp. 4017-4036
Closed Access | Times Cited: 135
Filtered auxiliary model recursive generalized extended parameter estimation methods for Box–Jenkins systems by means of the filtering identification idea
Feng Ding, Ling Xu, Xiao Zhang, et al.
International Journal of Robust and Nonlinear Control (2023) Vol. 33, Iss. 10, pp. 5510-5535
Closed Access | Times Cited: 129
Finite‐time adaptive control for nonlinear systems with uncertain parameters based on the command filters
Jiling Ding, Weihai Zhang
International Journal of Adaptive Control and Signal Processing (2021) Vol. 35, Iss. 9, pp. 1754-1767
Closed Access | Times Cited: 116
PFVAE: A Planar Flow-Based Variational Auto-Encoder Prediction Model for Time Series Data
Xue‐Bo Jin, Wen-Tao Gong, Jianlei Kong, et al.
Mathematics (2022) Vol. 10, Iss. 4, pp. 610-610
Open Access | Times Cited: 108
A Reversible Automatic Selection Normalization (RASN) Deep Network for Predicting in the Smart Agriculture System
Xue‐Bo Jin, Jiashuai Zhang, Jianlei Kong, et al.
Agronomy (2022) Vol. 12, Iss. 3, pp. 591-591
Open Access | Times Cited: 93
Separable synthesis gradient estimation methods and convergence analysis for multivariable systems
Ling Xu, Feng Ding
Journal of Computational and Applied Mathematics (2023) Vol. 427, pp. 115104-115104
Closed Access | Times Cited: 90
Hierarchical Recursive Least Squares Estimation Algorithm for Secondorder Volterra Nonlinear Systems
Jian Pan, Sunde Liu, Jun Shu, et al.
International Journal of Control Automation and Systems (2022) Vol. 20, Iss. 12, pp. 3940-3950
Closed Access | Times Cited: 86
Arrhythmia classification algorithm based on multi-head self-attention mechanism
Yue Wang, Guanci Yang, Shaobo Li, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104206-104206
Closed Access | Times Cited: 84
A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting
Xue‐Bo Jin, Wen-Tao Gong, Jianlei Kong, et al.
Entropy (2022) Vol. 24, Iss. 3, pp. 335-335
Open Access | Times Cited: 77
Particle Filtering-based Iterative Identification Methods for a Class of Nonlinear Systems with Interval-varying Measurements
Meihang Li, Ximei Liu
International Journal of Control Automation and Systems (2022) Vol. 20, Iss. 7, pp. 2239-2248
Closed Access | Times Cited: 68
Recursive identification methods for general stochastic systems with colored noises by using the hierarchical identification principle and the filtering identification idea
Feng Ding, Ling Xu, Xiao Zhang, et al.
Annual Reviews in Control (2024) Vol. 57, pp. 100942-100942
Closed Access | Times Cited: 57
Multi‐innovation gradient‐based iterative identification methods for feedback nonlinear systems by using the decomposition technique
Dan Yang, Feng Ding
International Journal of Robust and Nonlinear Control (2023) Vol. 33, Iss. 13, pp. 7755-7773
Closed Access | Times Cited: 52
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