What is he best known for?
The fields of study he is best known for:
- Statistics
- Mathematical analysis
- Transport engineering
His primary scientific interests are in Traffic flow, Transport engineering, Mathematical optimization, Operations research and Simulation.
The concepts of his Traffic flow study are interwoven with issues in Flow, Data mining, Control theory, Continuum and Conservation law.
The various areas that Sze Chun Wong examines in his Transport engineering study include Variational inequality and Price elasticity of demand.
In general Mathematical optimization, his work in Assignment problem is often linked to SIGNAL linking many areas of study.
His Operations research research incorporates elements of Maximization, Taxis, Stochastic process, Supply and demand and Mathematical model.
His Simulation research includes themes of Pedestrian and Flow network.
His most cited work include:
- Urban traffic flow prediction using a fuzzy-neural approach (303 citations)
- A multi-class traffic flow model: an extension of LWR model with heterogeneous drivers (228 citations)
- Revisiting Hughes’ dynamic continuum model for pedestrian flow and the development of an efficient solution algorithm (217 citations)
What are the main themes of his work throughout his whole career to date?
Sze Chun Wong spends much of his time researching Transport engineering, Operations research, Mathematical optimization, Traffic flow and Simulation.
The study of Transport engineering is intertwined with the study of Price elasticity of demand in a number of ways.
Sze Chun Wong conducted interdisciplinary study in his works that combined Operations research and Schedule.
His studies deal with areas such as Continuum Modeling, Finite element method, Applied mathematics, Continuum and Mathematical model as well as Mathematical optimization.
As part of his studies on Traffic flow, Sze Chun Wong often connects relevant subjects like Traffic congestion.
He does research in Simulation, focusing on Computer simulation specifically.
He most often published in these fields:
- Transport engineering (26.26%)
- Operations research (17.70%)
- Mathematical optimization (16.73%)
What were the highlights of his more recent work (between 2015-2021)?
- Transport engineering (26.26%)
- Statistics (4.09%)
- Operations research (17.70%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Transport engineering, Statistics, Operations research, Pedestrian and Bayesian probability.
His work on Taxis as part of general Transport engineering study is frequently connected to Las vegas, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
In his works, Sze Chun Wong conducts interdisciplinary research on Operations research and Schedule.
His Pedestrian study combines topics from a wide range of disciplines, such as Injury prevention, Data mining and Crash frequency.
Sze Chun Wong has researched Bayesian probability in several fields, including Spatial correlation and Logistic regression.
His Tobit model research integrates issues from Correlation and Deviance.
Between 2015 and 2021, his most popular works were:
- A multivariate random-parameters Tobit model for analyzing highway crash rates by injury severity. (68 citations)
- Modeling nonlinear relationship between crash frequency by severity and contributing factors by neural networks (59 citations)
- Revisiting crash spatial heterogeneity: A Bayesian spatially varying coefficients approach. (58 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Mathematical analysis
- Artificial intelligence
His primary scientific interests are in Bayesian probability, Transport engineering, Statistics, Pedestrian and Econometrics.
His research on Bayesian probability also deals with topics like
- Spatial correlation which intersects with area such as Bivariate analysis, Road networks and Space syntax,
- Logistic regression that intertwine with fields like Carriageway, Conditional autoregressive, Taxis and Bayesian hierarchical modeling.
Sze Chun Wong performs multidisciplinary study on Transport engineering and Safety in numbers in his works.
As part of his studies on Statistics, Sze Chun Wong often connects relevant areas like Traffic flow.
His Pedestrian study incorporates themes from SAFER, Crash risk, Motor vehicle crash and Crash frequency.
Within one scientific family, Sze Chun Wong focuses on topics pertaining to Generalizability theory under Multivariate statistics, and may sometimes address concerns connected to Simulation.
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