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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:

Parameter estimation algorithms for multivariable Hammerstein CARMA systems
Dongqing Wang, Feng Ding
Information Sciences (2016) Vol. 355-356, pp. 237-248
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Partially‐coupled least squares based iterative parameter estimation for multi‐variable output‐error‐like autoregressive moving average systems
Hao Ma, Jian Pan, Feng Ding, et al.
IET Control Theory and Applications (2019) Vol. 13, Iss. 18, pp. 3040-3051
Closed Access | Times Cited: 193
Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory
Lijuan Wan, Feng Ding
Circuits Systems and Signal Processing (2019) Vol. 38, Iss. 7, pp. 2971-2991
Closed Access | Times Cited: 172
Parameter estimation of solar PV models with a new proposed war strategy optimization algorithm
Ayyarao S. L. V. Tummala, Polamarasetty P Kumar
International Journal of Energy Research (2022) Vol. 46, Iss. 6, pp. 7215-7238
Open Access | Times Cited: 73
On Some Separated Algorithms for Separable Nonlinear Least Squares Problems
Min Gan, C. L. Philip Chen, Guangyong Chen, et al.
IEEE Transactions on Cybernetics (2017) Vol. 48, Iss. 10, pp. 2866-2874
Closed Access | Times Cited: 160
Recursive Least Squares and Multi-innovation Stochastic Gradient Parameter Estimation Methods for Signal Modeling
Ling Xu, Feng Ding
Circuits Systems and Signal Processing (2016) Vol. 36, Iss. 4, pp. 1735-1753
Closed Access | Times Cited: 145
Recursive parameter identification of the dynamical models for bilinear state space systems
Xiao Zhang, Feng Ding, Fuad E. Alsaadi, et al.
Nonlinear Dynamics (2017) Vol. 89, Iss. 4, pp. 2415-2429
Closed Access | Times Cited: 132
Maximum relevance minimum common redundancy feature selection for nonlinear data
Jinxing Che, Youlong Yang, Li Li, et al.
Information Sciences (2017) Vol. 409-410, pp. 68-86
Closed Access | Times Cited: 127
Parameter estimation for pseudo‐linear systems using the auxiliary model and the decomposition technique
Feng Ding, Feifei Wang, Ling Xu, et al.
IET Control Theory and Applications (2016) Vol. 11, Iss. 3, pp. 390-400
Closed Access | Times Cited: 112
Parameter estimation for control systems based on impulse responses
Ling Xu, Feng Ding
International Journal of Control Automation and Systems (2017) Vol. 15, Iss. 6, pp. 2471-2479
Closed Access | Times Cited: 108
Bias-Correction Errors-in-Variables Hammerstein Model Identification
Jie Hou, Hao Su, Chengpu Yu, et al.
IEEE Transactions on Industrial Electronics (2022) Vol. 70, Iss. 7, pp. 7268-7279
Closed Access | Times Cited: 67
Consistent Subspace Identification of Errors-in-Variables Hammerstein Systems
Jie Hou, Hao Su, Chengpu Yu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 53, Iss. 4, pp. 2292-2303
Closed Access | Times Cited: 59
Parameter estimation of solar PV models with artificial humming bird optimization algorithm using various objective functions
Ayyarao S. L. V. Tummala, G. Indira Kishore
Soft Computing (2023) Vol. 28, Iss. 4, pp. 3371-3392
Open Access | Times Cited: 30
Model recovery for Hammerstein systems using the hierarchical orthogonal matching pursuit method
Dongqing Wang, Yaru Yan, Yanjun Liu, et al.
Journal of Computational and Applied Mathematics (2018) Vol. 345, pp. 135-145
Open Access | Times Cited: 82
Maximum likelihood estimation method for dual-rate Hammerstein systems
Dongqing Wang, Zhen Zhang, Jinyun Yuan
International Journal of Control Automation and Systems (2017) Vol. 15, Iss. 2, pp. 698-705
Closed Access | Times Cited: 81
Recasted models‐based hierarchical extended stochastic gradient method for MIMO nonlinear systems
Dongqing Wang, Li Mao, Feng Ding
IET Control Theory and Applications (2016) Vol. 11, Iss. 4, pp. 476-485
Closed Access | Times Cited: 71
New gradient based identification methods for multivariate pseudo-linear systems using the multi-innovation and the data filtering
Ping Ma, Feng Ding
Journal of the Franklin Institute (2016) Vol. 354, Iss. 3, pp. 1568-1583
Closed Access | Times Cited: 64
The maximum likelihood least squares based iterative estimation algorithm for bilinear systems with autoregressive moving average noise
Meihang Li, Ximei Liu, Feng Ding
Journal of the Franklin Institute (2017) Vol. 354, Iss. 12, pp. 4861-4881
Closed Access | Times Cited: 64
A recursive least squares parameter estimation algorithm for output nonlinear autoregressive systems using the input–output data filtering
Feng Ding, Yanjiao Wang, Jiyang Dai, et al.
Journal of the Franklin Institute (2017) Vol. 354, Iss. 15, pp. 6938-6955
Closed Access | Times Cited: 63
Auxiliary Model Based Least Squares Iterative Algorithms for Parameter Estimation of Bilinear Systems Using Interval-Varying Measurements
Meihang Li, Ximei Liu
IEEE Access (2018) Vol. 6, pp. 21518-21529
Open Access | Times Cited: 60
The Nesterov accelerated gradient algorithm for Auto-Regressive Exogenous models with random lost measurements: Interpolation method and auxiliary model method
Fei Xu, Lianyuan Cheng, Jing Chen, et al.
Information Sciences (2024) Vol. 659, pp. 120055-120055
Closed Access | Times Cited: 7
Filtering-Based Multistage Recursive Identification Algorithm for an Input Nonlinear Output-Error Autoregressive System by Using the Key Term Separation Technique
Junxia Ma, Feng Ding
Circuits Systems and Signal Processing (2016) Vol. 36, Iss. 2, pp. 577-599
Closed Access | Times Cited: 57
Least-squares-based iterative and gradient-based iterative estimation algorithms for bilinear systems
Meihang Li, Ximei Liu, Feng Ding
Nonlinear Dynamics (2017) Vol. 89, Iss. 1, pp. 197-211
Closed Access | Times Cited: 53
Hierarchical Stochastic Gradient Algorithm and its Performance Analysis for a Class of Bilinear-in-Parameter Systems
Feng Ding, Xuehai Wang
Circuits Systems and Signal Processing (2016) Vol. 36, Iss. 4, pp. 1393-1405
Open Access | Times Cited: 48
Normalized fractional adaptive methods for nonlinear control autoregressive systems
Naveed Ishtiaq Chaudhary, Zeshan Aslam Khan, Syed Zubair, et al.
Applied Mathematical Modelling (2018) Vol. 66, pp. 457-471
Open Access | Times Cited: 48
Data-driven predictive control of Hammerstein–Wiener systems based on subspace identification
Xiaosuo Luo, Yongduan Song
Information Sciences (2017) Vol. 422, pp. 447-461
Closed Access | Times Cited: 47
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