Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

The innovation algorithms for multivariable state‐space models
Feng Ding, Xiao Zhang, Ling Xu
International Journal of Adaptive Control and Signal Processing (2019) Vol. 33, Iss. 11, pp. 1601-1618
Closed Access | Times Cited: 114

Showing 1-25 of 114 citing articles:

Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing
Nan Zhao, Zhiyang Ye, Yiyang Pei, et al.
IEEE Transactions on Wireless Communications (2022) Vol. 21, Iss. 9, pp. 6949-6960
Closed Access | Times Cited: 202
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: 194
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: 189
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: 182
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: 176
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: 158
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: 144
Iterative identification methods for a class of bilinear systems by using the particle filtering technique
Meihang Li, Ximei Liu
International Journal of Adaptive Control and Signal Processing (2021) Vol. 35, Iss. 10, pp. 2056-2074
Closed Access | Times Cited: 140
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: 136
The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems
Yan Ji, Zhen Kang, Ximei Liu
International Journal of Robust and Nonlinear Control (2021) Vol. 31, Iss. 15, pp. 7007-7025
Closed Access | Times Cited: 130
Iterative parameter and order identification for fractional‐order nonlinear finite impulse response systems using the key term separation
Jun‐Wei Wang, Yan Ji, Chen Zhang
International Journal of Adaptive Control and Signal Processing (2021) Vol. 35, Iss. 8, pp. 1562-1577
Closed Access | Times Cited: 119
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
Two‐stage gradient‐based iterative algorithms for the fractional‐order nonlinear systems by using the hierarchical identification principle
Jun‐Wei Wang, Yan Ji, Xiao Zhang, et al.
International Journal of Adaptive Control and Signal Processing (2022) Vol. 36, Iss. 7, pp. 1778-1796
Closed Access | Times Cited: 111
PFVAE: A Planar Flow-Based Variational Auto-Encoder Prediction Model for Time Series Data
Xuebo 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
Xuebo 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: 92
A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting
Xuebo Jin, Wen-Tao Gong, Jianlei Kong, et al.
Entropy (2022) Vol. 24, Iss. 3, pp. 335-335
Open Access | Times Cited: 77
FPGAN: Face de-identification method with generative adversarial networks for social robots
Jiacheng Lin, Yang Li, Guanci Yang
Neural Networks (2020) Vol. 133, pp. 132-147
Closed Access | Times Cited: 117
Hybrid Deep Learning Predictor for Smart Agriculture Sensing Based on Empirical Mode Decomposition and Gated Recurrent Unit Group Model
Xuebo Jin, Nian-Xiang Yang, Xiaoyi Wang, et al.
Sensors (2020) Vol. 20, Iss. 5, pp. 1334-1334
Open Access | Times Cited: 95
Two-stage Gradient-based Recursive Estimation for Nonlinear Models by Using the Data Filtering
Yan Ji, Zhen Kang, Chen Zhang
International Journal of Control Automation and Systems (2021) Vol. 19, Iss. 8, pp. 2706-2715
Closed Access | Times Cited: 93
Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems
Ling Xu, Feng Ding, Lijuan Wan, et al.
International Journal of Adaptive Control and Signal Processing (2020) Vol. 34, Iss. 7, pp. 937-954
Closed Access | Times Cited: 89
An efficient recursive identification algorithm for multilinear systems based on tensor decomposition
Yanjiao Wang, Ling Yang
International Journal of Robust and Nonlinear Control (2021) Vol. 31, Iss. 16, pp. 7920-7936
Closed Access | Times Cited: 87
Hierarchical recursive least squares algorithms for Hammerstein nonlinear autoregressive output‐error systems
Zhen Kang, Yan Ji, Ximei Liu
International Journal of Adaptive Control and Signal Processing (2021) Vol. 35, Iss. 11, pp. 2276-2295
Closed Access | Times Cited: 87
Parameter estimation for nonlinear Volterra systems by using the multi-innovation identification theory and tensor decomposition
Yanjiao Wang, Shihua Tang, Xiaobo Gu
Journal of the Franklin Institute (2021) Vol. 359, Iss. 2, pp. 1782-1802
Closed Access | Times Cited: 86
Page 1 - Next Page

Scroll to top