H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 65 Citations 17,428 261 World Ranking 1133 National Ranking 44
Electronics and Electrical Engineering H-index 59 Citations 13,032 228 World Ranking 596 National Ranking 34

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • The Internet
  • Gene

The scientist’s investigation covers issues in Computer network, Wireless, Cognitive radio, Wireless network and Communication channel. His Computer network research is multidisciplinary, relying on both Telecommunications and Throughput. Ping Wang has included themes like Network architecture, Electric power, Wireless sensor network and Transmission in his Wireless study.

The concepts of his Cognitive radio study are interwoven with issues in Transmitter, Energy harvesting, Energy and Common value auction. His work carried out in the field of Wireless network brings together such families of science as Relay and Transmitter power output. His Mobile computing research integrates issues from Cloudlet and Mobile telephony.

His most cited work include:

  • A survey of mobile cloud computing: architecture, applications, and approaches (1701 citations)
  • Wireless Networks With RF Energy Harvesting: A Contemporary Survey (1643 citations)
  • Wireless Charging Technologies: Fundamentals, Standards, and Network Applications (466 citations)

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

His main research concerns Computer network, Wireless, Wireless network, Service provider and Cognitive radio. His Computer network research includes elements of Throughput and Communication channel. His work in Wireless addresses issues such as Electronic engineering, which are connected to fields such as Transmission.

His Service provider research incorporates themes from Stackelberg competition, Incentive, Computer security and Operations research. Ping Wang has researched Cognitive radio in several fields, including Scheduling and Mathematical optimization. His work in Wireless sensor network covers topics such as Key distribution in wireless sensor networks which are related to areas like Wi-Fi array.

He most often published in these fields:

  • Computer network (33.95%)
  • Wireless (23.40%)
  • Wireless network (14.49%)

What were the highlights of his more recent work (between 2019-2021)?

  • Incentive (7.66%)
  • Stackelberg competition (9.73%)
  • Vibration (3.52%)

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

His primary scientific interests are in Incentive, Stackelberg competition, Vibration, Wireless and Service provider. His work in Stackelberg competition addresses subjects such as Backward induction, which are connected to disciplines such as Social network. His Vibration study combines topics from a wide range of disciplines, such as Frequency response, Energy harvesting and Automotive engineering.

Ping Wang combines subjects such as Relay, Electronic engineering, Computer network and Task with his study of Wireless. His studies in Computer network integrate themes in fields like Service delivery framework and Game theory. His studies deal with areas such as Profit and Artificial intelligence as well as Service provider.

Between 2019 and 2021, his most popular works were:

  • Influence of specific second phases on corrosion behaviors of Mg-Zn-Gd-Zr alloys (41 citations)
  • Influence of specific second phases on corrosion behaviors of Mg-Zn-Gd-Zr alloys (41 citations)
  • Dynamic modeling and experimental investigation of self-powered sensor nodes for freight rail transport (31 citations)

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

  • Computer network
  • The Internet
  • Gene

Ping Wang spends much of his time researching Vibration, Random vibration, Systems architecture, Edge computing and Rationality. The Random vibration study combines topics in areas such as Generator, Mechanical engineering and Electric power. His Edge computing research is multidisciplinary, incorporating perspectives in Edge device, Backward induction and Distributed computing.

His Distributed computing study integrates concerns from other disciplines, such as Service, Enhanced Data Rates for GSM Evolution, Hash function, Resource and Protocol. Among his Rationality studies, you can observe a synthesis of other disciplines of science such as Wireless, Reinforcement learning, Data science, Federated learning and Social Welfare. His work is dedicated to discovering how Wireless, Incentive compatibility are connected with Profit and other disciplines.

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

A survey of mobile cloud computing: architecture, applications, and approaches

Hoang T. Dinh;Chonho Lee;Dusit Niyato;Ping Wang.
Wireless Communications and Mobile Computing (2013)

2497 Citations

Wireless Networks With RF Energy Harvesting: A Contemporary Survey

Xiao Lu;Ping Wang;Dusit Niyato;Dong In Kim.
IEEE Communications Surveys and Tutorials (2015)

1763 Citations

Wireless Charging Technologies: Fundamentals, Standards, and Network Applications

Xiao Lu;Ping Wang;Dusit Niyato;Dong In Kim.
IEEE Communications Surveys and Tutorials (2016)

560 Citations

Machine-to-machine communications for home energy management system in smart grid

Dusit Niyato;Lu Xiao;Ping Wang.
IEEE Communications Magazine (2011)

451 Citations

A Dynamic Offloading Algorithm for Mobile Computing

Dong Huang;Ping Wang;D. Niyato.
IEEE Transactions on Wireless Communications (2012)

414 Citations

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

Wenbo Wang;Dinh Thai Hoang;Peizhao Hu;Zehui Xiong.
IEEE Access (2019)

413 Citations

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

Nguyen Cong Luong;Dinh Thai Hoang;Shimin Gong;Dusit Niyato.
IEEE Communications Surveys and Tutorials (2019)

408 Citations

Applications, Architectures, and Protocol Design Issues for Mobile Social Networks: A Survey

Nipendra Kayastha;Dusit Niyato;Ping Wang;Ekram Hossain.
Proceedings of the IEEE (2011)

308 Citations

Ambient Backscatter Communications: A Contemporary Survey

Nguyen Van Huynh;Dinh Thai Hoang;Xiao Lu;Dusit Niyato.
IEEE Communications Surveys and Tutorials (2018)

288 Citations

When Mobile Blockchain Meets Edge Computing

Zehui Xiong;Yang Zhang;Dusit Niyato;Ping Wang.
IEEE Communications Magazine (2018)

274 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 Ping Wang

Dusit Niyato

Dusit Niyato

Nanyang Technological University

Publications: 97

Zhu Han

Zhu Han

University of Houston

Publications: 91

Dong In Kim

Dong In Kim

Sungkyunkwan University

Publications: 72

Victor C. M. Leung

Victor C. M. Leung

University of British Columbia

Publications: 57

Xuemin Shen

Xuemin Shen

University of Waterloo

Publications: 57

Ying-Chang Liang

Ying-Chang Liang

University of Electronic Science and Technology of China

Publications: 49

Rui Zhang

Rui Zhang

National University of Singapore

Publications: 46

Ekram Hossain

Ekram Hossain

University of Manitoba

Publications: 43

Yan Zhang

Yan Zhang

Chinese Academy of Sciences

Publications: 41

Kaibin Huang

Kaibin Huang

University of Hong Kong

Publications: 39

Weihua Zhuang

Weihua Zhuang

University of Waterloo

Publications: 38

F. Richard Yu

F. Richard Yu

Carleton University

Publications: 35

Jianwei Huang

Jianwei Huang

Chinese University of Hong Kong, Shenzhen

Publications: 34

Mohsen Guizani

Mohsen Guizani

Qatar University

Publications: 33

H. Vincent Poor

H. Vincent Poor

Princeton University

Publications: 32

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