D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 35 Citations 5,616 213 World Ranking 3594 National Ranking 387

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Computer network

Tao Tang mainly focuses on Simulation, Energy consumption, Efficient energy use, Regenerative brake and Urban rail transit. Tao Tang has included themes like Reliability, Parallel processing, Optimization problem, Mathematical optimization and Job shop scheduling in his Simulation study. His Energy consumption research is multidisciplinary, incorporating perspectives in Scheduling and Automotive engineering.

His studies in Efficient energy use integrate themes in fields like Automatic train control and Optimal control. Tao Tang works mostly in the field of Urban rail transit, limiting it down to topics relating to Nonlinear programming and, in certain cases, Evolutionary algorithm and Operations research, as a part of the same area of interest. In his study, Control system is strongly linked to Control theory, which falls under the umbrella field of Real-time computing.

His most cited work include:

  • A Cooperative Scheduling Model for Timetable Optimization in Subway Systems (210 citations)
  • A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy (205 citations)
  • A Survey on Energy-Efficient Train Operation for Urban Rail Transit (177 citations)

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

Control system, Simulation, Energy consumption, Urban rail transit and Real-time computing are his primary areas of study. His research investigates the connection between Control system and topics such as Control engineering that intersect with issues in Control theory and Control. His research integrates issues of Regenerative brake and Computation in his study of Simulation.

His Energy consumption course of study focuses on Efficient energy use and Automatic train operation. His biological study spans a wide range of topics, including Quality of service, Scheduling, Job shop scheduling and Nonlinear programming. His research in Real-time computing tackles topics such as Network packet which are related to areas like Networked control system.

He most often published in these fields:

  • Control system (25.41%)
  • Simulation (20.49%)
  • Energy consumption (18.44%)

What were the highlights of his more recent work (between 2018-2021)?

  • Control system (25.41%)
  • Control theory (10.25%)
  • Beijing (11.89%)

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

Tao Tang mainly investigates Control system, Control theory, Beijing, Mathematical optimization and Control. Tao Tang combines subjects such as Urban rail transit, Quality of service, Computer network, Real-time computing and Software with his study of Control system. As part of the same scientific family, he usually focuses on Real-time computing, concentrating on Network packet and intersecting with Optimal control.

Tao Tang frequently studies issues relating to Energy consumption and Mathematical optimization. His Energy consumption research is multidisciplinary, incorporating elements of Regenerative brake, Energy conservation, Optimization problem and Efficient energy use. His work carried out in the field of Control brings together such families of science as Perspective and Unified Modeling Language.

Between 2018 and 2021, his most popular works were:

  • Big Data Analytics in Intelligent Transportation Systems: A Survey (167 citations)
  • An energy-efficient rescheduling approach under delay perturbations for metro systems (27 citations)
  • Timetable Optimization for Regenerative Energy Utilization in Subway Systems (24 citations)

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

  • Artificial intelligence
  • Programming language
  • Computer network

His main research concerns Control system, Control theory, Beijing, Model predictive control and Mathematical optimization. The various areas that Tao Tang examines in his Control system study include Urban rail transit and Quality of service, Computer network. His Quality of service study incorporates themes from Optimal control, Transmission delay, Network packet, Control parameters and Real-time computing.

His work deals with themes such as Lagrange multiplier and Control theory, Lyapunov stability, which intersect with Model predictive control. Integer programming and Genetic algorithm are the core of his Mathematical optimization study. His research in Commercial software intersects with topics in Energy consumption, Headway, Regenerative brake, Optimization problem and Robustness.

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

Big Data Analytics in Intelligent Transportation Systems: A Survey

Li Zhu;Fei Richard Yu;Yige Wang;Bin Ning.
IEEE Transactions on Intelligent Transportation Systems (2019)

376 Citations

A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy

Shuai Su;Xiang Li;Tao Tang;Ziyou Gao.
IEEE Transactions on Intelligent Transportation Systems (2013)

293 Citations

A Survey on Energy-Efficient Train Operation for Urban Rail Transit

Xin Yang;Xiang Li;Bin Ning;Tao Tang.
IEEE Transactions on Intelligent Transportation Systems (2016)

286 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

Cross-Layer Handoff Design in MIMO-Enabled WLANs for Communication-Based Train Control (CBTC) Systems

Li Zhu;F. R. Yu;Bin Ning;Tao Tang.
IEEE Journal on Selected Areas in Communications (2012)

190 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

A Two-Objective Timetable Optimization Model in Subway Systems

Xing Yang;Bin Ning;Xiang Li;Tao Tang.
IEEE Transactions on Intelligent Transportation Systems (2014)

135 Citations

Passenger-demands-oriented train scheduling for an urban rail transit network

Yihui Wang;Yihui Wang;Tao Tang;Bin Ning;Ton J.J. van den Boom.
Transportation Research Part C-emerging Technologies (2015)

128 Citations

An energy-efficient scheduling approach to improve the utilization of regenerative energy for metro systems

Xin Yang;Xin Yang;Anthony Chen;Xiang Li;Bin Ning.
Transportation Research Part C-emerging Technologies (2015)

123 Citations

Best Scientists Citing Tao Tang

Ziyou Gao

Ziyou Gao

Beijing Jiaotong University

Publications: 52

Lixing Yang

Lixing Yang

Beijing Jiaotong University

Publications: 46

Clive J. Roberts

Clive J. Roberts

University of Birmingham

Publications: 35

Zhangdui Zhong

Zhangdui Zhong

Beijing Jiaotong University

Publications: 28

Bo Ai

Bo Ai

Beijing Jiaotong University

Publications: 26

MengChu Zhou

MengChu Zhou

New Jersey Institute of Technology

Publications: 22

F. Richard Yu

F. Richard Yu

Carleton University

Publications: 21

Francesco Corman

Francesco Corman

ETH Zurich

Publications: 19

Xuesong Zhou

Xuesong Zhou

Arizona State University

Publications: 15

Yongduan Song

Yongduan Song

Chongqing University

Publications: 15

Zhongsheng Hou

Zhongsheng Hou

Qingdao University

Publications: 14

Andrea D'Ariano

Andrea D'Ariano

Roma Tre University

Publications: 12

Avishai Ceder

Avishai Ceder

Technion – Israel Institute of Technology

Publications: 10

Cheng-Xiang Wang

Cheng-Xiang Wang

Heriot-Watt University

Publications: 9

Bart De Schutter

Bart De Schutter

Delft University of Technology

Publications: 8

Gang Tao

Gang Tao

University of Virginia

Publications: 7

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

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