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
Computer Science D-index 47 Citations 7,729 285 World Ranking 3221 National Ranking 299

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Computer network

Mathematical optimization, Lagrangian relaxation, Control theory, Scheduling and Dynamic programming are his primary areas of study. His Mathematical optimization study combines topics from a wide range of disciplines, such as Wind power, Probabilistic logic, Power system simulation and Job shop scheduling. His work carried out in the field of Lagrangian relaxation brings together such families of science as Lagrange multiplier, Schedule and Subgradient method.

As a part of the same scientific study, Xiaohong Guan usually deals with the Control theory, concentrating on Model predictive control and frequently concerns with Stochastic programming, Stochastic optimization, Battery energy storage, Salient and State space. The concepts of his Scheduling study are interwoven with issues in Time horizon and Fluid coupling. His Dynamic programming research is multidisciplinary, incorporating elements of Discretization and Operating cost.

His most cited work include:

  • Energy-Efficient Buildings Facilitated by Microgrid (383 citations)
  • An optimization-based method for unit commitment (198 citations)
  • Performance Analysis and Comparison on Energy Storage Devices for Smart Building Energy Management (148 citations)

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

Xiaohong Guan spends much of his time researching Mathematical optimization, Data mining, Artificial intelligence, Wind power and Real-time computing. His Mathematical optimization study integrates concerns from other disciplines, such as Scheduling and Power system simulation. His Data mining study combines topics in areas such as Sampling and Network security.

His studies deal with areas such as Machine learning, Authentication and Pattern recognition as well as Artificial intelligence. His Wind power research includes themes of Markov decision process and Renewable energy. Xiaohong Guan has researched Lagrangian relaxation in several fields, including Lagrange multiplier, Dynamic programming and Subgradient method.

He most often published in these fields:

  • Mathematical optimization (26.64%)
  • Data mining (16.19%)
  • Artificial intelligence (11.48%)

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

  • Mathematical optimization (26.64%)
  • Data mining (16.19%)
  • Renewable energy (6.35%)

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

His primary scientific interests are in Mathematical optimization, Data mining, Renewable energy, Computer security and Artificial intelligence. His study of Optimization problem is a part of Mathematical optimization. His Data mining research incorporates elements of Traffic classification, Flow network, Sampling, Ensemble learning and Statistical classification.

His study on Renewable energy also encompasses disciplines like

  • Wind power that intertwine with fields like Microgrid,
  • Automotive engineering that connect with fields like HVAC, Heuristic, Demand response and Model predictive control,
  • Energy storage which is related to area like Efficient energy use,
  • Photovoltaic system that connect with fields like Electricity generation. The Computer security study combines topics in areas such as The Internet and Cyber-physical system. His Artificial intelligence research includes elements of Interpreter, Machine learning and Social network.

Between 2017 and 2021, his most popular works were:

  • Performance Analysis of Multi-Motion Sensor Behavior for Active Smartphone Authentication (78 citations)
  • Enhanced Hidden Moving Target Defense in Smart Grids (43 citations)
  • Robust Scheduling of EV Charging Load With Uncertain Wind Power Integration (41 citations)

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

  • Operating system
  • Artificial intelligence
  • Computer network

His scientific interests lie mostly in Computer security, The Internet, Social network, Automotive engineering and Energy. His study in Computer security is interdisciplinary in nature, drawing from both Camera placement and Smart grid. His Automotive engineering research incorporates elements of Wind power, Scalability, Heuristic, HVAC and Renewable energy.

His study explores the link between Scalability and topics such as Authentication protocol that cross with problems in Artificial intelligence and Machine learning. He combines subjects such as Energy consumption, Ventilation, Energy conservation and Cyber-physical system with his study of Energy. In his papers, Xiaohong Guan integrates diverse fields, such as Shortest path problem, Scheduling and 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

Energy-Efficient Buildings Facilitated by Microgrid

Xiaohong Guan;Zhanbo Xu;Qing-Shan Jia.
IEEE Transactions on Smart Grid (2010)

545 Citations

An optimization-based method for unit commitment

X. Guan;P.B. Luh;H. Yan;J.A. Amalfi.
International Journal of Electrical Power & Energy Systems (1992)

321 Citations

Coordinated Multi-Microgrids Optimal Control Algorithm for Smart Distribution Management System

Jiang Wu;Xiaohong Guan.
IEEE Transactions on Smart Grid (2013)

208 Citations

An SVM-based machine learning method for accurate internet traffic classification

Ruixi Yuan;Zhu Li;Xiaohong Guan;Li Xu.
Information Systems Frontiers (2010)

205 Citations

Nonlinear approximation method in Lagrangian relaxation-based algorithms for hydrothermal scheduling

Xiaohong Guan;P.B. Luh;Lan Zhang.
IEEE Transactions on Power Systems (1995)

204 Citations

Performance Analysis and Comparison on Energy Storage Devices for Smart Building Energy Management

Zhanbo Xu;Xiaohong Guan;Qing-Shan Jia;Jiang Wu.
IEEE Transactions on Smart Grid (2012)

193 Citations

Optimization based methods for unit commitment: Lagrangian relaxation versus general mixed integer programming

Xiaohong Guan;Qiaozhu Zhai;A. Papalexopoulos.
2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491) (2003)

178 Citations

Revenue adequate bidding strategies in competitive electricity markets

Chao-An Li;A.J. Svoboda;Xiaohong Guan;H. Singh.
IEEE Transactions on Power Systems (1999)

173 Citations

Forecasting power market clearing price and quantity using a neural network method

Feng Gao;Xiaohong Guan;Xi-Ren Cao;A. Papalexopoulos.
power engineering society summer meeting (2000)

171 Citations

Optimization-based scheduling of hydrothermal power systems with pumped-storage units

Xiaohong Guan;P.B. Luh;Houzhong Yen;P. Rogan.
IEEE Transactions on Power Systems (1994)

169 Citations

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Best Scientists Citing Xiaohong Guan

Peter B. Luh

Peter B. Luh

University of Connecticut

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The Ohio State University

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Beijing Jiaotong University

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Zuyi Li

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Illinois Institute of Technology

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Lei Wu

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Luís Ferreira

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Instituto Superior Técnico

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Víctor Manuel Fernandes Mendes

Víctor Manuel Fernandes Mendes

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John C. S. Lui

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Chuntian Cheng

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Zhao Yang Dong

Zhao Yang Dong

UNSW Sydney

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Qinghua Zheng

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Jose M. Arroyo

Jose M. Arroyo

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