H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 31 Citations 3,857 220 World Ranking 7798 National Ranking 739

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Artificial intelligence
  • Statistics

Fan Wu mainly focuses on Computer network, Incentive, Wireless, Distributed computing and Data quality. Computer network connects with themes related to Game theory in his study. His Incentive study integrates concerns from other disciplines, such as Service provider, Common value auction and Profit.

His work carried out in the field of Wireless brings together such families of science as Radio spectrum and Beamforming. His Distributed computing research includes elements of Provisioning and Routing protocol. He combines subjects such as Overhead, Data mining and k-anonymity with his study of Data quality.

His most cited work include:

  • Spatial Reusability-Aware Routing in Multi-Hop Wireless Networks (166 citations)
  • Pay as How Well You Do: A Quality Based Incentive Mechanism for Crowdsensing (147 citations)
  • Millimeter-Wave Wireless Communications for IoT-Cloud Supported Autonomous Vehicles: Overview, Design, and Challenges (121 citations)

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

Fan Wu spends much of his time researching Computer network, Distributed computing, Wireless, Computer security and Wireless network. His studies deal with areas such as Channel allocation schemes, Communication channel and Throughput as well as Computer network. His research investigates the connection with Distributed computing and areas like Static routing which intersect with concerns in Destination-Sequenced Distance Vector routing.

Wireless is closely attributed to Radio spectrum in his research. His work on Nash equilibrium expands to the thematically related Wireless network. In his study, White spaces and Energy consumption is inextricably linked to Real-time computing, which falls within the broad field of Wireless sensor network.

He most often published in these fields:

  • Computer network (35.02%)
  • Distributed computing (22.74%)
  • Wireless (19.13%)

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

  • Wireless (19.13%)
  • Distributed computing (22.74%)
  • Operations research (5.05%)

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

The scientist’s investigation covers issues in Wireless, Distributed computing, Operations research, Artificial intelligence and Overhead. He studies Wireless network which is a part of Wireless. His Federated learning study in the realm of Distributed computing interacts with subjects such as Software deployment.

The study incorporates disciplines such as Incentive, Opportunity cost, Competitive analysis and Mechanism design in addition to Operations research. His Incentive study combines topics from a wide range of disciplines, such as Data quality, Budget constraint and Risk analysis. Fan Wu usually deals with Mobile relay and limits it to topics linked to Computer network and Privacy preserving.

Between 2018 and 2021, his most popular works were:

  • Unsupervised Fake News Detection on Social Media: A Generative Approach (65 citations)
  • Design and analysis of authenticated key agreement scheme in cloud-assisted cyber–physical systems (34 citations)
  • Achieving Data Truthfulness and Privacy Preservation in Data Markets (17 citations)

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

  • Computer network
  • Artificial intelligence
  • Statistics

His primary areas of study are Distributed computing, Operations research, Differential privacy, Leverage and Upload. His Distributed computing study incorporates themes from Missing data and Minification. His work in Differential privacy addresses subjects such as Scalability, which are connected to disciplines such as Scheduling, Algorithm, Distributed algorithm, Approximation algorithm and Mobile sensor networks.

He has researched Leverage in several fields, including Generative grammar, Fake news and Data science. He combines topics linked to Profit with his work on Computer security. He has included themes like Wireless and Mathematical optimization in his Robustness study.

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

Pay as How Well You Do: A Quality Based Incentive Mechanism for Crowdsensing

Dan Peng;Fan Wu;Guihai Chen.
mobile ad hoc networking and computing (2015)

202 Citations

Spatial Reusability-Aware Routing in Multi-Hop Wireless Networks

Tong Meng;Fan Wu;Zheng Yang;Guihai Chen.
IEEE Transactions on Computers (2016)

194 Citations

Millimeter-Wave Wireless Communications for IoT-Cloud Supported Autonomous Vehicles: Overview, Design, and Challenges

Linghe Kong;Muhammad Khurram Khan;Fan Wu;Guihai Chen.
IEEE Communications Magazine (2017)

171 Citations

Unsupervised Fake News Detection on Social Media: A Generative Approach

Shuo Yang;Kai Shu;Suhang Wang;Renjie Gu.
national conference on artificial intelligence (2019)

135 Citations

Stimulating Cooperation in Vehicular Ad Hoc Networks: A Coalitional Game Theoretic Approach

Tingting Chen;Liehuang Zhu;Fan Wu;Sheng Zhong.
IEEE Transactions on Vehicular Technology (2011)

132 Citations

SPRING: A Strategy-proof and Privacy preserving spectrum auction mechanism

Qianyi Huang;Yixin Tao;Fan Wu.
international conference on computer communications (2013)

105 Citations

Sustainable Incentives for Mobile Crowdsensing: Auctions, Lotteries, and Trust and Reputation Systems

Tie Luo;Salil S. Kanhere;Jianwei Huang;Sajal K. Das.
IEEE Communications Magazine (2017)

105 Citations

Globally Optimal Channel Assignment for Non-Cooperative Wireless Networks

Fan Wu;Sheng Zhong;Chunming Qiao.
international conference on computer communications (2008)

104 Citations

On Designing Data Quality-Aware Truth Estimation and Surplus Sharing Method for Mobile Crowdsensing

Shuo Yang;Fan Wu;Shaojie Tang;Xiaofeng Gao.
IEEE Journal on Selected Areas in Communications (2017)

94 Citations

Incentive-compatible opportunistic routing for wireless networks

Fan Wu;Tingting Chen;Sheng Zhong;Li Erran Li.
acm/ieee international conference on mobile computing and networking (2008)

92 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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Top Scientists Citing Fan Wu

Dusit Niyato

Dusit Niyato

Nanyang Technological University

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Jie Wu

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Xiang-Yang Li

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Qian Zhang

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Tianjin University

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Ashok Kumar Das

Ashok Kumar Das

International Institute of Information Technology, Hyderabad

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Jianwei Huang

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Chinese University of Hong Kong, Shenzhen

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Chaudhary Charan Singh University

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Guoliang Xue

Arizona State University

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Lu Su

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