World's Best Scientists 2026 revealed!

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Computer Science

D-Index
64
Citations
19503
World Ranking
2564
National Ranking
343

Electronics and Electrical Engineering

D-Index
58
Citations
16450
World Ranking
1826
National Ranking
313

Overview

Guihai Chen is affiliated with Nanjing University in China and has an extensive background in computer science and engineering. Their research spans a broad range of topics within these fields, with a notable focus on artificial intelligence and computer networks.

The primary areas of study for Guihai Chen include:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Information Systems
  • Computer Vision and Pattern Recognition

Their work covers several main topics:

  • Mobile Crowdsensing and Crowdsourcing
  • Privacy-Preserving Technologies in Data
  • Cloud Computing and Resource Management
  • Recommender Systems and Techniques
  • Caching and Content Delivery
  • Software-Defined Networks and 5G
  • Advanced Graph Neural Networks

Guihai Chen has contributed to numerous publications across various venues, with frequent appearances in:

  • arXiv (Cornell University)
  • IEEE Transactions on Mobile Computing
  • IEEE/ACM Transactions on Networking
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Parallel and Distributed Systems

Their recent notable papers include:

  • Edge-computing-driven Internet of Things: A Survey (2022), published in ACM Computing Surveys
  • Blockchain-Based Mobile Crowd Sensing in Industrial Systems (2020), published in IEEE Transactions on Industrial Informatics
  • General framework, opportunities and challenges for crowdsourcing techniques: A Comprehensive survey (2020), published in Journal of Systems and Software
  • ROSE: Robustly Safe Charging for Wireless Power Transfer (2020), published in IEEE Transactions on Mobile Computing
  • Liquid: Intelligent Resource Estimation and Network-Efficient Scheduling for Deep Learning Jobs on Distributed GPU Clusters (2021), published in IEEE Transactions on Parallel and Distributed Systems

Guihai Chen has collaborated frequently with several co-authors, including:

  • Xiaofeng Gao
  • Haipeng Dai
  • Fan Wu
  • Linghe Kong
  • Jiaqi Zheng

Best Publications

  • EECS: an energy efficient clustering scheme in wireless sensor networks

    Mao Ye;Chengfa Li;Guihai Chen;J. Wu

  • An energy-efficient unequal clustering mechanism for wireless sensor networks

    Chengfa Li;Mao Ye;Guihai Chen;Jie Wu

  • An unequal cluster-based routing protocol in wireless sensor networks

    Guihai Chen;Chengfa Li;Mao Ye;Jie Wu

  • Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution

    Xiaobing Wu;Guihai Chen;S.K. Das

  • Millimeter Wave Communication: A Comprehensive Survey

    Xiong Wang;Linghe Kong;Fanxin Kong;Fudong Qiu

  • Towards Secure Industrial IoT: Blockchain System With Credit-Based Consensus Mechanism

    Junqin Huang;Linghe Kong;Guihai Chen;Min-You Wu

  • Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

    Qitian Wu;Hengrui Zhang;Xiaofeng Gao;Peng He

  • An energy-aware routing protocol in wireless sensor networks

    Ming Liu;Jiannong Cao;Guihai Chen;Xiaomin Wang

  • On the Energy Hole Problem of Nonuniform Node Distribution in Wireless Sensor Networks

    Xiaobing Wu;Guihai Chen;Sajal Das

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

    Linghe Kong;Muhammad Khurram Khan;Fan Wu;Guihai Chen

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

    Dan Peng;Fan Wu;Guihai Chen

  • Spatial Reusability-Aware Routing in Multi-Hop Wireless Networks

    Tong Meng;Fan Wu;Zheng Yang;Guihai Chen

  • Safe Charging for Wireless Power Transfer

    Haipeng Dai;Yunhuai Liu;Guihai Chen;Xiaobing Wu

  • Energy Efficient TDMA Sleep Scheduling in Wireless Sensor Networks

    J. Ma;W. Lou;Y. Wu;X.-Y. Li

  • Maximizing network lifetime based on transmission range adjustment in wireless sensor networks

    Chao Song;Ming Liu;Jiannong Cao;Yuan Zheng

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

    Shuo Yang;Fan Wu;Shaojie Tang;Xiaofeng Gao

  • Cycloid: a constant-degree and lookup-efficient P2P overlay network

    Haiying Shen;Cheng-Zhong Xu;Guihai Chen

  • Data-Oriented Mobile Crowdsensing: A Comprehensive Survey

    Yutong Liu;Linghe Kong;Guihai Chen

  • Maximizing lifetime for the shortest path aggregation tree in wireless sensor networks

    Dijun Luo;Xiaojun Zhu;Xiaobing Wu;Guihai Chen

  • Data Quality Guided Incentive Mechanism Design for Crowdsensing

    Dan Peng;Fan Wu;Guihai Chen

  • PVA in VANETs: Stopped cars are not silent

    Nianbo Liu;Ming Liu;Wei Lou;Guihai Chen

Frequent Co-Authors

Xiaofeng Gao
Xiaofeng Gao Shanghai Jiao Tong University
Fan Wu
Fan Wu Shanghai Jiao Tong University
Linghe Kong
Linghe Kong Shanghai Jiao Tong University
Shaojie Tang
Shaojie Tang The University of Texas at Dallas
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Yunhao Liu
Yunhao Liu Tsinghua University
Xinbing Wang
Xinbing Wang Shanghai Jiao Tong University
Haipeng Dai
Haipeng Dai Nanjing University
Jie Wu
Jie Wu Temple University
Tian He
Tian He University of Minnesota

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