World's Best Scientists 2026 revealed!

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Computer Science

D-Index
68
Citations
18188
World Ranking
2092
National Ranking
288

Research.com Recognitions

  • 2020 - OSA Fellows Lin Zhang Aston University, UK For technical leadership and outstanding contributions to the research and development of fiber grating-based devices and technology, and their applications in optical communications and sensing

Overview

Lin Zhang is affiliated with Beihang University in China and has contributed extensively to the fields of Engineering and Computer Science. Their research primarily focuses on Electrical and Electronic Engineering, with significant work in Computer Networks and Communications as well as Aerospace Engineering.

Their work covers a range of topics, including:

  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • Energy Harvesting in Wireless Networks
  • Cognitive Radio Networks and Spectrum Sensing
  • Satellite Communication Systems
  • Full-Duplex Wireless Communications
  • UAV Applications and Optimization

Lin Zhang has published research in several notable venues, with a strong presence in IEEE Transactions on Wireless Communications. Frequent publication venues include:

  • IEEE Transactions on Wireless Communications
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • IEEE Transactions on Communications
  • Journal of Communications and Information Networks

Recent papers authored or coauthored by Lin Zhang include:

  • Deep Reinforcement Learning for Joint Channel Selection and Power Control in D2D Networks (2020), IEEE Transactions on Wireless Communications
  • Deep Reinforcement Learning for Multi-Agent Power Control in Heterogeneous Networks (2020), IEEE Transactions on Wireless Communications
  • Intelligent Sharing for LTE and WiFi Systems in Unlicensed Bands: A Deep Reinforcement Learning Approach (2020), IEEE Transactions on Communications
  • Outage Probability Analysis in Downlink SWIPT-Assisted Cooperative NOMA Systems (2022), Journal of Communications and Information Networks
  • Outage Probability Analysis for UAV-Aided Mobile Edge Computing Networks (2022), EAI Endorsed Transactions on Industrial Networks and Intelligent Systems

Frequent collaborators in Lin Zhang's research include Ming Xiao, Zicun Wang, Ying-Chang Liang, Shaoqian Li, and Errong Pei. These partnerships have contributed to multiple publications and projects in related domains.

Lin Zhang was recognized as an OSA Fellow in 2020 for technical leadership and contributions to the research and development of fiber grating-based devices and technology, specifically regarding their applications in optical communications and sensing.

Best Publications

  • CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System

    Fei Tao;Ying Cheng;Li Da Xu;Lin Zhang

  • Cloud manufacturing: a new manufacturing paradigm

    Lin Zhang;Yongliang Luo;Fei Tao;Bo Hu Li

  • Cloud manufacturing: a computing and service-oriented manufacturing model:

    F Tao;L Zhang;V C Venkatesh;Y Luo

  • A Novel Cloud-Based Framework for the Elderly Healthcare Services Using Digital Twin

    Ying Liu;Lin Zhang;Yuan Yang;Longfei Zhou

  • IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing

    Fei Tao;Ying Zuo;Li Da Xu;Lin Zhang

  • Win-Stay-Lose-Learn Promotes Cooperation in the Spatial Prisoner's Dilemma Game

    Yongkui Liu;Xiaojie Chen;Lin Zhang;Long Wang

  • FC-PACO-RM: A Parallel Method for Service Composition Optimal-Selection in Cloud Manufacturing System

    Fei Tao;Yuanjun LaiLi;Lida Xu;Lin Zhang

  • Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach

    Lei Ren;Li Zhao;Sheng Hong;Shiqiang Zhao

  • Cloud manufacturing: key characteristics and applications

    Lei Ren;Lin Zhang;Lihui Wang;Fei Tao

  • Advanced manufacturing systems: socialization characteristics and trends

    F. Tao;Y. Cheng;L. Zhang;A. Y. Nee

  • Bearing remaining useful life prediction based on deep autoencoder and deep neural networks

    Lei Ren;Lei Ren;Yaqiang Sun;Yaqiang Sun;Jin Cui;Jin Cui;Lin Zhang;Lin Zhang

  • Cloud manufacturing: from concept to practice

    Lei Ren;Lin Zhang;Fei Tao;Chun Zhao

  • Scheduling in cloud manufacturing: state-of-the-art and research challenges

    Yongkui Liu;Lihui Wang;Xi Vincent Wang;Xun Xu

  • Workload-based multi-task scheduling in cloud manufacturing

    Yongkui Liu;Xun Xu;Lin Zhang;Long Wang

  • Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network

    Lei Ren;Yaqiang Sun;Hao Wang;Lin Zhang

  • Manufacturing Service Management in Cloud Manufacturing: Overview and Future Research Directions

    Fei Tao;Lin Zhang;Yongkui Liu;Yongkui Liu;Ying Cheng

  • CLPS-GA: A case library and Pareto solution-based hybrid genetic algorithm for energy-aware cloud service scheduling

    Fei Tao;Ying Feng;Lin Zhang;T.W. Liao

  • Internet of Things and BOM-Based Life Cycle Assessment of Energy-Saving and Emission-Reduction of Products

    Fei Tao;Ying Zuo;Li Da Xu;Lin Lv

  • Leader-Following Consensus for Linear and Lipschitz Nonlinear Multiagent Systems With Quantized Communication

    Zhiqiang Zhang;Lin Zhang;Fei Hao;Long Wang

  • Consensus of linear multi-agent systems via event-triggered control

    Zhiqiang Zhang;Fei Hao;Lin Zhang;Long Wang

Frequent Co-Authors

Fei Tao
Fei Tao Beihang University
Lei Ren
Lei Ren Beihang University
Long Wang
Long Wang Peking University
Shao-Ming Fei
Shao-Ming Fei Capital Normal University
Li Da Xu
Li Da Xu Old Dominion University
Lihui Wang
Lihui Wang Royal Institute of Technology
Xun Xu
Xun Xu University of Auckland
Xiaojie Chen
Xiaojie Chen University of Electronic Science and Technology of China
Andrew Y. C. Nee
Andrew Y. C. Nee National University of Singapore
Duc Truong Pham
Duc Truong Pham University of Birmingham

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