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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:

Learning Nonlinear Generative Models of Time Series With a Kalman Filter in RKHS
Pingping Zhu, Badong Chen, José C. Prı́ncipe
IEEE Transactions on Signal Processing (2013) Vol. 62, Iss. 1, pp. 141-155
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Kernel-based Reconstruction of Space-time Functions on Dynamic Graphs
Daniel Romero, Vassilis N. Ioannidis, Georgios B. Giannakis
IEEE Journal of Selected Topics in Signal Processing (2017), pp. 1-1
Open Access | Times Cited: 84
Inverse Unscented Kalman Filter
Himali Singh, Kumar Vijay Mishra, Arpan Chattopadhyay
IEEE Transactions on Signal Processing (2024) Vol. 72, pp. 2692-2709
Open Access | Times Cited: 7
Universal Approximation with Convex Optimization: Gimmick or Reality? [Discussion Forum]
José C. Prı́ncipe, Badong Chen
IEEE Computational Intelligence Magazine (2015) Vol. 10, Iss. 2, pp. 68-77
Closed Access | Times Cited: 59
Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion
Lujuan Dang, Badong Chen, Shiyuan Wang, et al.
IEEE Transactions on Circuits and Systems I Regular Papers (2019) Vol. 66, Iss. 11, pp. 4265-4277
Closed Access | Times Cited: 52
Nonlinear dynamical system identification using the sparse regression and separable least squares methods
Miaomiao Lin, Changming Cheng, Zhike Peng, et al.
Journal of Sound and Vibration (2021) Vol. 505, pp. 116141-116141
Closed Access | Times Cited: 32
Mean-square error linear estimation
Sergios Theodoridis
Machine learning (2025), pp. 119-175
Closed Access
The Kernel Adaptive Autoregressive-Moving-Average Algorithm
Kan Li, José C. Prı́ncipe
IEEE Transactions on Neural Networks and Learning Systems (2015) Vol. 27, Iss. 2, pp. 334-346
Closed Access | Times Cited: 32
Nonlinear Adaptive Filtering With Kernel Set-Membership Approach
Kewei Chen, Stefan Werner, Anthony Kuh, et al.
IEEE Transactions on Signal Processing (2020) Vol. 68, pp. 1515-1528
Open Access | Times Cited: 22
Functional Bayesian Filter
Kan Li, José C. Prı́ncipe
IEEE Transactions on Signal Processing (2021) Vol. 70, pp. 57-71
Open Access | Times Cited: 19
Inverse Extended Kalman Filter—Part II: Highly Nonlinear and Uncertain Systems
Himali Singh, Arpan Chattopadhyay, Kumar Vijay Mishra
IEEE Transactions on Signal Processing (2023) Vol. 71, pp. 2952-2967
Open Access | Times Cited: 7
Kernel-Based Least Squares Temporal Difference With Gradient Correction
Tianheng Song, Dazi Li, Liulin Cao, et al.
IEEE Transactions on Neural Networks and Learning Systems (2015) Vol. 27, Iss. 4, pp. 771-782
Closed Access | Times Cited: 18
Causal Inference in Time Series via Supervised Learning
Yoichi Chikahara, Akinori Fujino
(2018), pp. 2042-2048
Open Access | Times Cited: 18
A Fusion Algorithm for Online Reliability Evaluation of Microgrid Inverter IGBT
Chuankun Wang, Yigang He, Chenyuan Wang, et al.
Electronics (2020) Vol. 9, Iss. 8, pp. 1294-1294
Open Access | Times Cited: 15
Hybrid Pre-Training Strategy for Deep Denoising Neural Networks and Its Application in Machine Fault Diagnosis
Baoxuan Zhao, Changming Cheng, Zhike Peng, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 14
A two-stage sparse algorithm for localization and characterization of local nonlinear structures
Changming Cheng, Baoxuan Zhao, Chengkun Fu, et al.
Journal of Sound and Vibration (2022) Vol. 526, pp. 116823-116823
Closed Access | Times Cited: 9
Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps
Pingping Zhu, Silvio Ferrari, Julian Morelli, et al.
Sensors (2019) Vol. 19, Iss. 7, pp. 1524-1524
Open Access | Times Cited: 15
The kernel Kalman rule
Gregor H. W. Gebhardt, Andras Kupcsik, Gerhard Neumann
Machine Learning (2019) Vol. 108, Iss. 12, pp. 2113-2157
Open Access | Times Cited: 12
A New Kernel-Based Algorithm for Cluster Sparse System Identification
Senthil Murugan Boopalan, Sundaravanan Jothiprakasam
Transactions of Indian National Academy of Engineering (2024) Vol. 9, Iss. 1, pp. 225-239
Closed Access | Times Cited: 1
The Kernel Kalman Rule — Efficient Nonparametric Inference with Recursive Least Squares
Gregor H. W. Gebhardt, Andras Kupcsik, Gerhard Neumann
Proceedings of the AAAI Conference on Artificial Intelligence (2017) Vol. 31, Iss. 1
Open Access | Times Cited: 12
Biologically-Inspired Spike-Based Automatic Speech Recognition of Isolated Digits Over a Reproducing Kernel Hilbert Space
Kan Li, José C. Prı́ncipe
Frontiers in Neuroscience (2018) Vol. 12
Open Access | Times Cited: 12
Adaptive Kernel Learning Kalman Filtering With Application to Model-Free Maneuvering Target Tracking
Yuankai Li, Jiaxin Lou, Xiaosu Tan, et al.
IEEE Access (2022) Vol. 10, pp. 78088-78101
Open Access | Times Cited: 7
Design of parallel adaptive extended Kalman filter for online estimation of noise covariance
Kai Xiong, Liangdong Liu
Aircraft Engineering and Aerospace Technology (2018) Vol. 91, Iss. 1, pp. 112-123
Closed Access | Times Cited: 10
RKHS based State Estimator for Radar Sensor in Indoor Application
Uday Kumar Singh, Mohammad Alaee‐Kerahroodi, Mallikarjun Shankar
2022 IEEE Radar Conference (RadarConf22) (2022), pp. 01-06
Open Access | Times Cited: 5
Multi-kernel probability distribution regressions
Pingping Zhu, Hongchuan Wei, Wenjie Lu, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2015), pp. 1-7
Closed Access | Times Cited: 6
Statistical Learning for Sparse Sensing and Agile Operation
Yuxun Zhou
(2017)
Closed Access | Times Cited: 6
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