Who Cited It

Kalman Filtering and Neural Networks

2001 · 2,404 citations · 2 from inside this corpus

No author records on this work.

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Kalman Filtering and Neural Networks (2001)Kalman Filtering and Neural N…A New Approach to Linear Filtering and Prediction Problems (1960)A New Approach to Linear Filt…Novel approach to nonlinear/non-Gaussian Bayesian state estimation (1993)Novel approach to nonlinear/n…Introduction to the theory of neural computation (1994)Introduction to the theory of…New extension of the Kalman filter to nonlinear systems (1997)New extension of the Kalman f…The unscented Kalman filter for nonlinear estimation (2002)The unscented Kalman filter f…A Practical Bayesian Framework for Backpropagation Networks (1992)A Practical Bayesian Framewor…Learning in Graphical Models (1998)Learning in Graphical ModelsMonte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models (1996)Monte Carlo Filter and Smooth…A new approach for filtering nonlinear systems (2005)A new approach for filtering …Analysis of Observed Chaotic Data (1996)Analysis of Observed Chaotic …Gaussian filters for nonlinear filtering problems (2000)Gaussian filters for nonlinea…The Unscented Particle Filter (2000)The Unscented Particle FilterDeep learning in neural networks: An overview (2014)Deep learning in neural netwo…State-of-the-art in artificial neural network applications: A survey (2018)State-of-the-art in artificia…
14 of 14 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
A New Approach to Linear Filtering and Prediction Problems196031,488
Novel approach to nonlinear/non-Gaussian Bayesian state estimation19937,639
Introduction to the theory of neural computation19946,461
New extension of the Kalman filter to nonlinear systems19975,305
The unscented Kalman filter for nonlinear estimation20023,991
A Practical Bayesian Framework for Backpropagation Networks19922,962
Learning in Graphical Models19982,437
Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models19962,225
A new approach for filtering nonlinear systems20051,931
Analysis of Observed Chaotic Data19961,852
Gaussian filters for nonlinear filtering problems20001,500
The Unscented Particle Filter20001,419

What cites it, inside the corpus

PaperYearCited
Deep learning in neural networks: An overview201418,236
State-of-the-art in artificial neural network applications: A survey20183,071

Links

DOI · OpenAlex record

Topics

Target Tracking and Data Fusion in Sensor NetworksComputer Science
Neural Networks and ApplicationsComputer Science
Inertial Sensor and NavigationEngineering

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • weakensThe source lists no authors for this work at all, so there is nobody to attribute it to and it appears on no author page.
  • supports46 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:49+00:00.

sha256 a2172c1bbe00c44b…