H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 54 Citations 9,308 314 World Ranking 1141 National Ranking 126

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Mathematical optimization
  • Artificial intelligence

His scientific interests lie mostly in Mathematical optimization, Simulation, Traffic flow, Genetic algorithm and Transport engineering. His study on Integer programming is often connected to Programming paradigm as part of broader study in Mathematical optimization. The study incorporates disciplines such as Nonlinear programming and Headway in addition to Integer programming.

His research in Simulation intersects with topics in Social force model, Pedestrian, Empirical research, Job shop scheduling and Cellular automaton. He interconnects Flow, Traffic generation model, Statistical physics and Diagram in the investigation of issues within Traffic flow. He works mostly in the field of Transport engineering, limiting it down to topics relating to Beijing and, in certain cases, Service quality and Operations research, as a part of the same area of interest.

His most cited work include:

  • Traffic experiment reveals the nature of car-following. (261 citations)
  • Solution algorithm for the bi-level discrete network design problem (217 citations)
  • A Cooperative Scheduling Model for Timetable Optimization in Subway Systems (210 citations)

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

Ziyou Gao mainly focuses on Mathematical optimization, Traffic flow, Simulation, Transport engineering and Control theory. His work on Integer programming as part of general Mathematical optimization research is often related to Programming paradigm, thus linking different fields of science. His Traffic flow research focuses on Traffic generation model and how it connects with Network traffic simulation, Traffic equations and Topology.

His work deals with themes such as Flow and Cellular automaton, which intersect with Simulation. His Transport engineering research incorporates themes from Order and Beijing. His study in Beijing is interdisciplinary in nature, drawing from both Urban rail transit and Operations research.

He most often published in these fields:

  • Mathematical optimization (28.16%)
  • Traffic flow (20.11%)
  • Simulation (17.53%)

What were the highlights of his more recent work (between 2017-2021)?

  • Mathematical optimization (28.16%)
  • Energy consumption (6.61%)
  • Operations research (9.20%)

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

His primary areas of study are Mathematical optimization, Energy consumption, Operations research, Beijing and Traffic flow. Mathematical optimization is closely attributed to Network planning and design in his study. His study on Energy consumption also encompasses disciplines like

  • Energy and related Decision problem,
  • Efficient energy use that connect with fields like Automotive engineering.

His work is dedicated to discovering how Beijing, Urban rail transit are connected with Artificial intelligence and Dynamic programming and other disciplines. His work carried out in the field of Traffic flow brings together such families of science as Mathematical analysis, Platoon and Mean reversion. Ziyou Gao has included themes like Flow control and Stochastic optimization in his Integer programming study.

Between 2017 and 2021, his most popular works were:

  • Service-oriented train timetabling with collaborative passenger flow control on an oversaturated metro line: An integer linear optimization approach (51 citations)
  • Switch between critical percolation modes in city traffic dynamics (45 citations)
  • A Bi-Objective Timetable Optimization Model for Urban Rail Transit Based on the Time-Dependent Passenger Volume (41 citations)

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

  • Statistics
  • Mathematical optimization
  • Artificial intelligence

Ziyou Gao spends much of his time researching Operations research, Mathematical optimization, Energy consumption, Beijing and Network planning and design. His Operations research research is multidisciplinary, incorporating elements of Flow control, Urban transportation, Urban transit and Integer programming. Ziyou Gao works in the field of Mathematical optimization, focusing on Scheduling in particular.

His research integrates issues of Energy conservation, Automotive engineering, Regenerative brake, Energy and Efficient energy use in his study of Energy consumption. The Beijing study combines topics in areas such as Environmental planning and Complex dynamics. His research in Network planning and design focuses on subjects like Stochastic programming, which are connected to Intelligent speed adaptation, Traffic flow, Stochastic modelling, Platoon and Instability.

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.

Top Publications

Solution algorithm for the bi-level discrete network design problem

Ziyou Gao;Jianjun Wu;Huijun Sun.
Transportation Research Part B-methodological (2005)

327 Citations

Traffic experiment reveals the nature of car-following.

Rui Jiang;Mao-Bin Hu;H. M. Zhang;Zi-You Gao.
PLOS ONE (2014)

261 Citations

A Cooperative Scheduling Model for Timetable Optimization in Subway Systems

Xin Yang;Xiang Li;Ziyou Gao;Hongwei Wang.
IEEE Transactions on Intelligent Transportation Systems (2013)

254 Citations

A continuous equilibrium network design model and algorithm for transit systems

Ziyou Gao;Huijun Sun;Lian Long Shan.
Transportation Research Part B-methodological (2004)

180 Citations

Train Timetable Problem on a Single-Line Railway With Fuzzy Passenger Demand

Lixing Yang;Keping Li;Ziyou Gao.
IEEE Transactions on Fuzzy Systems (2009)

167 Citations

Energy-efficient metro train rescheduling with uncertain time-variant passenger demands: An approximate dynamic programming approach

Jiateng Yin;Tao Tang;Lixing Yang;Ziyou Gao.
Transportation Research Part B-methodological (2016)

160 Citations

Dynamic passenger demand oriented metro train scheduling with energy-efficiency and waiting time minimization: Mixed-integer linear programming approaches

Jiateng Yin;Lixing Yang;Tao Tang;Ziyou Gao.
Transportation Research Part B-methodological (2017)

144 Citations

Logistics distribution centers location problem and algorithm under fuzzy environment

Lixing Yang;Xiaoyu Ji;Ziyou Gao;Keping Li.
Journal of Computational and Applied Mathematics (2007)

140 Citations

URBAN TRANSIT SYSTEM AS A SCALE-FREE NETWORK

Jianjun Wu;Ziyou Gao;Huijun Sun;Haijun Huang.
Modern Physics Letters B (2004)

133 Citations

On some experimental features of car-following behavior and how to model them

Rui Jiang;Rui Jiang;Mao-Bin Hu;H.M. Zhang;H.M. Zhang;Zi-You Gao.
Transportation Research Part B-methodological (2015)

130 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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