H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 57 Citations 17,920 165 World Ranking 1884 National Ranking 50
Electronics and Electrical Engineering D-index 42 Citations 14,431 117 World Ranking 1642 National Ranking 50

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Algorithm

Ba-Ngu Vo spends much of his time researching Algorithm, Filter, Mathematical optimization, Artificial intelligence and Finite set. His Algorithm research is multidisciplinary, incorporating perspectives in Probability density function, Control theory, Gaussian process, Particle filter and Monte Carlo method. His Filter research incorporates elements of Truncation and Trajectory.

Ba-Ngu Vo has included themes like Bayes estimator, Ensemble Kalman filter, Kernel adaptive filter and Filter in his Mathematical optimization study. His research in Artificial intelligence intersects with topics in Estimation theory, Machine learning, Computer vision and Pattern recognition. His work carried out in the field of Finite set brings together such families of science as Bayesian probability and Bayes' theorem.

His most cited work include:

  • The Gaussian Mixture Probability Hypothesis Density Filter (1328 citations)
  • A Consistent Metric for Performance Evaluation of Multi-Object Filters (1222 citations)
  • Sequential Monte Carlo methods for multitarget filtering with random finite sets (993 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Algorithm, Artificial intelligence, Filter, Mathematical optimization and Finite set. His work deals with themes such as Particle filter, Monte Carlo method, Gaussian process and Filter, which intersect with Algorithm. His Artificial intelligence research incorporates themes from Machine learning, Computer vision and Pattern recognition.

His Filter study combines topics from a wide range of disciplines, such as Clutter, Control theory, Trajectory and Gibbs sampling. The various areas that Ba-Ngu Vo examines in his Mathematical optimization study include Smoothing and Applied mathematics. His Finite set study incorporates themes from Probability density function, Data mining and Bayesian probability, Bayes' theorem.

He most often published in these fields:

  • Algorithm (40.08%)
  • Artificial intelligence (36.29%)
  • Filter (32.91%)

What were the highlights of his more recent work (between 2015-2021)?

  • Algorithm (40.08%)
  • Filter (32.91%)
  • Artificial intelligence (36.29%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Algorithm, Filter, Artificial intelligence, Tracking and Finite set. His Algorithm study integrates concerns from other disciplines, such as Object, Smoothing and Trajectory. The Filter study combines topics in areas such as Video tracking, Recursion, Mathematical optimization, Bernoulli filter and Gibbs sampling.

His Artificial intelligence research includes elements of Machine learning, Computer vision and Pattern recognition. The concepts of his Tracking study are interwoven with issues in Clutter, Filter and Metric. His studies in Finite set integrate themes in fields like Sequence, Division and Online algorithm.

Between 2015 and 2021, his most popular works were:

  • Stem cell migration and mechanotransduction on linear stiffness gradient hydrogels (187 citations)
  • An Efficient Implementation of the Generalized Labeled Multi-Bernoulli Filter (170 citations)
  • Multiple Extended Target Tracking With Labeled Random Finite Sets (118 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Machine learning

Ba-Ngu Vo mainly investigates Filter, Artificial intelligence, Trajectory, Algorithm and Tracking. His Filter study combines topics in areas such as Video tracking and Gibbs sampling. He has researched Artificial intelligence in several fields, including Computer vision and Pattern recognition.

In his study, False positive paradox, Benchmark and Recursion is strongly linked to Bayes' theorem, which falls under the umbrella field of Computer vision. His Trajectory course of study focuses on Finite set and Object, Smoothing, State and Recursion. His Tracking research focuses on Clutter and how it connects with Mathematical optimization.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

The Gaussian Mixture Probability Hypothesis Density Filter

Ba-Ngu Vo;Wing-Kin Ma.
IEEE Transactions on Signal Processing (2006)

2019 Citations

A Consistent Metric for Performance Evaluation of Multi-Object Filters

D. Schuhmacher;B.-T. Vo;B.-N. Vo.
IEEE Transactions on Signal Processing (2008)

1762 Citations

Sequential Monte Carlo methods for multitarget filtering with random finite sets

B.-N. Vo;S. Singh;A. Doucet.
IEEE Transactions on Aerospace and Electronic Systems (2005)

1460 Citations

Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter

Ba-Tuong Vo;Ba-Ngu Vo;A. Cantoni.
IEEE Transactions on Signal Processing (2007)

825 Citations

The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations

Ba-Tuong Vo;Ba-Ngu Vo;A. Cantoni.
IEEE Transactions on Signal Processing (2009)

754 Citations

Labeled Random Finite Sets and Multi-Object Conjugate Priors

Ba-Tuong Vo;Ba-Ngu Vo.
IEEE Transactions on Signal Processing (2013)

658 Citations

On performance evaluation of multi-object filters

D. Schuhmacher;Ba Tuong Vo;Ba Ngu Vo.
international conference on information fusion (2008)

600 Citations

The Labeled Multi-Bernoulli Filter

Stephan Reuter;Ba-Tuong Vo;Ba-Ngu Vo;Klaus Dietmayer.
IEEE Transactions on Signal Processing (2014)

543 Citations

Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter

Ba-Ngu Vo;Ba-Tuong Vo;Dinh Phung.
IEEE Transactions on Signal Processing (2014)

539 Citations

Sequential monte carlo implementation of the phd filter for multi-target tracking

Ba-Ngu Vo;S. Singh;A. Doucet.
international conference on information fusion (2003)

437 Citations

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