What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Telecommunications
The scientist’s investigation covers issues in Computer network, Mathematical optimization, Game theory, Incentive and Distributed computing.
His research in Computer network intersects with topics in Wireless network and Communication channel.
When carried out as part of a general Mathematical optimization research project, his work on Optimization problem is frequently linked to work in Smart grid, Wind power and Spread spectrum, therefore connecting diverse disciplines of study.
Jianwei Huang interconnects Wireless, Simulation, Stochastic game and Nash equilibrium in the investigation of issues within Game theory.
His Incentive study incorporates themes from Internet access, Contract theory, Benchmark, Mobile computing and Operations research.
His Distributed computing research is multidisciplinary, relying on both Best response, Data center, Asynchronous communication and Electric power.
His most cited work include:
- Distributed interference compensation for wireless networks (698 citations)
- Auction-based spectrum sharing (571 citations)
- Vehicle-to-Aggregator Interaction Game (308 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Computer network, Mathematical optimization, Wireless, Distributed computing and Nash equilibrium.
His work carried out in the field of Computer network brings together such families of science as Incentive and Wireless network.
His studies deal with areas such as Computer security, Mechanism design, Complete information, Crowdsourcing and Operations research as well as Incentive.
His biological study spans a wide range of topics, including Profit, Resource allocation, Communication channel and Stackelberg competition.
His Resource allocation study deals with Scheduling intersecting with Power control.
The study incorporates disciplines such as Game theory and Price of anarchy in addition to Nash equilibrium.
He most often published in these fields:
- Computer network (30.96%)
- Mathematical optimization (24.72%)
- Wireless (14.92%)
What were the highlights of his more recent work (between 2018-2021)?
- Mathematical optimization (24.72%)
- Microeconomics (9.35%)
- Information asymmetry (4.45%)
In recent papers he was focusing on the following fields of study:
Jianwei Huang mainly focuses on Mathematical optimization, Microeconomics, Information asymmetry, Crowdsourcing and Stochastic game.
Optimization problem and Nash equilibrium are the subjects of his Mathematical optimization studies.
His Microeconomics study integrates concerns from other disciplines, such as Database transaction and Cellular network.
He has included themes like Resource allocation, Key and Private information retrieval in his Information asymmetry study.
His Time complexity study combines topics from a wide range of disciplines, such as Strategy and Computer network.
The study of Computer network is intertwined with the study of The Internet in a number of ways.
Between 2018 and 2021, his most popular works were:
- Data Center Demand Response in Deregulated Electricity Markets (30 citations)
- How to Price Fresh Data (20 citations)
- Virtual Energy Storage Sharing and Capacity Allocation (19 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Telecommunications
His main research concerns Profit, Mathematical optimization, Stochastic game, Crowdsourcing and Information asymmetry.
As part of his studies on Mathematical optimization, Jianwei Huang frequently links adjacent subjects like Payment.
His Stochastic game research incorporates elements of Stackelberg competition and Artificial intelligence.
His work deals with themes such as Mechanism design, Resource allocation and Operations research, which intersect with Information asymmetry.
In his research on the topic of Pricing strategies, Computer network is strongly related with Equilibrium pricing.
His Computer network research includes elements of Time complexity, Enhanced Data Rates for GSM Evolution and Price of anarchy.
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