What is he best known for?
The fields of study he is best known for:
- Statistics
- Microeconomics
- Mathematical optimization
Hai Yang mostly deals with Mathematical optimization, Transport engineering, Traffic congestion, Flow network and Operations research.
His research integrates issues of Convergence, Computer simulation and Traffic flow in his study of Mathematical optimization.
His work carried out in the field of Transport engineering brings together such families of science as Social optimum, Network model, Order and Externality.
His research in the fields of Congestion pricing overlaps with other disciplines such as Schedule.
His work deals with themes such as Public transport, Transit, Travel behavior, Reliability engineering and Traffic flow, which intersect with Flow network.
His studies in Operations research integrate themes in fields like Network planning and design, Quality, Road pricing, Estimation theory and Supply and demand.
His most cited work include:
- Urban Computing: Concepts, Methodologies, and Applications (833 citations)
- Models and algorithms for road network design: a review and some new developments (562 citations)
- Capacity reliability of a road network: an assessment methodology and numerical results (441 citations)
What are the main themes of his work throughout his whole career to date?
Hai Yang focuses on Mathematical optimization, Transport engineering, Operations research, Microeconomics and Traffic congestion.
His Mathematical optimization study combines topics in areas such as Convergence, Simulation and Traffic flow.
The various areas that he examines in his Transport engineering study include Bottleneck and Mathematical model.
His research in Operations research intersects with topics in Taxis and Service.
Microeconomics connects with themes related to Value of time in his study.
Hai Yang mostly deals with Congestion pricing in his studies of Traffic congestion.
He most often published in these fields:
- Mathematical optimization (29.29%)
- Transport engineering (20.20%)
- Operations research (19.60%)
What were the highlights of his more recent work (between 2018-2021)?
- Operations research (19.60%)
- Mathematical optimization (29.29%)
- Matching (2.42%)
In recent papers he was focusing on the following fields of study:
Hai Yang spends much of his time researching Operations research, Mathematical optimization, Matching, Microeconomics and Profit.
The concepts of his Operations research study are interwoven with issues in Scheduling and Revenue.
His research in Mathematical optimization intersects with topics in Flow, Convergence and Bayesian inference.
His Profit research is multidisciplinary, incorporating perspectives in Social Welfare, Flow network, Shared parking, Value of time and Business model.
His Flow network study combines topics from a wide range of disciplines, such as Transport engineering, Public transport, Traffic congestion, Service quality and Economic equilibrium.
His Congestion pricing study in the realm of Traffic congestion connects with subjects such as Benchmark.
Between 2018 and 2021, his most popular works were:
- Ridesourcing systems: A framework and review (53 citations)
- Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services (34 citations)
- Resilience of Transportation Systems: Concepts and Comprehensive Review (33 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Microeconomics
- Artificial intelligence
His primary areas of investigation include Matching, Key, Microeconomics, Supply and demand and Profit.
His work on Stochastic game and Price strategy as part of general Microeconomics study is frequently linked to Differential and Database transaction, therefore connecting diverse disciplines of science.
His research integrates issues of Commission, Surge, Revenue, Optimization problem and Operations research in his study of Profit.
His Operations research research incorporates elements of Taxis, Value of time and Demand rate.
His work in Incentive covers topics such as Queueing theory which are related to areas like Mathematical optimization.
His Price elasticity of demand research extends to Mathematical optimization, which is thematically connected.
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