World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
8734
World Ranking
6506
National Ranking
870

Overview

Fangchun Yang is affiliated with Beijing University of Posts and Telecommunications in China. Their research primarily focuses on the fields of computer science and engineering, with a significant emphasis on computer networks and communications, information systems, electrical and electronic engineering, artificial intelligence, and transportation.

The scientist's publications cover several key areas, prominently including IoT and edge/fog computing, blockchain technology applications and security, age of information optimization, vehicular ad hoc networks (VANETs), recommender systems and techniques, as well as traffic prediction and management techniques.

Frequent publication venues for Fangchun Yang include:

  • IEEE Internet of Things Journal
  • China Communications
  • IEEE Transactions on Mobile Computing
  • arXiv (Cornell University)
  • Sensors

Yang's recent papers illustrate the focus on edge computing and related technologies. Notable recent works include:

  • Dependency-Aware Task Scheduling in Vehicular Edge Computing, 2020, IEEE Internet of Things Journal
  • QoS Driven Task Offloading with Statistical Guarantee in Mobile Edge Computing, 2020, IEEE Transactions on Mobile Computing
  • Service Coverage for Satellite Edge Computing, 2021, IEEE Internet of Things Journal
  • Edgence: A blockchain-enabled edge-computing platform for intelligent IoT-based dApps, 2020, China Communications
  • Cross-Domain Resource Orchestration for the Edge-Computing-Enabled Smart Road, 2020, IEEE Network

The scientist frequently collaborates with colleagues including Jinglin Li, Shangguang Wang, Guiyang Luo, Ao Zhou, and Xiao Ma. These coauthors have multiple joint publications indicating ongoing research partnerships.

Yang's body of work is situated within major topics such as:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Age of Information Optimization
  • Vehicular Ad Hoc Networks (VANETs)
  • Recommender Systems and Techniques
  • Traffic Prediction and Management Techniques
  • Traffic Control and Management

The combination of publication venues, coauthor networks, and diverse yet interconnected topics outlines a research trajectory anchored in advancing computing technologies at the network edge, with applications that extend into intelligent transportation systems and blockchain-enabled solutions.

Best Publications

  • An overview of Internet of Vehicles

    Fangchun Yang;Shangguang Wang;Jinglin Li;Zhihan Liu

  • Virtual network embedding through topology-aware node ranking

    Xiang Cheng;Sen Su;Zhongbao Zhang;Hanchi Wang

  • Toward Efficient Content Delivery for Automated Driving Services: An Edge Computing Solution

    Quan Yuan;Haibo Zhou;Jinglin Li;Zhihan Liu

  • Dependency-Aware Task Scheduling in Vehicular Edge Computing

    Yujiong Liu;Shangguang Wang;Qinglin Zhao;Shiyu Du

  • Cloud Service Reliability Enhancement via Virtual Machine Placement Optimization

    Ao Zhou;Shangguang Wang;Bo Cheng;Zibin Zheng

  • Artificial Intelligence Powered Mobile Networks: From Cognition to Decision

    Unknown

  • Towards an accurate evaluation of quality of cloud service in service-oriented cloud computing

    Shangguang Wang;Zhipiao Liu;Qibo Sun;Hua Zou

  • Virtual network embedding through topology awareness and optimization

    Xiang Cheng;Sen Su;Zhongbao Zhang;Kai Shuang

  • Cooperative vehicular content distribution in edge computing assisted 5G-VANET

    Guiyang Luo;Quan Yuan;Haibo Zhou;Nan Cheng

  • Architecture and key technologies for Internet of Vehicles:a survey

    Fangchun Yang;Jinglin Li;Tao Lei;Shangguang Wang

  • Cloud model for service selection

    Shangguang Wang;Zibin Zheng;Qibo Sun;Hua Zou

  • Reputation Measurement and Malicious Feedback Rating Prevention in Web Service Recommendation Systems

    Shangguang Wang;Zibin Zheng;Zhengping Wu;Michael R. Lyu

  • A Vertical Handoff Method via Self-Selection Decision Tree for Internet of Vehicles

    Shangguang Wang;Cunqun Fan;Ching-Hsien Hsu;Qibo Sun

  • Particle Swarm Optimization for Energy-Aware Virtual Machine Placement Optimization in Virtualized Data Centers

    Shangguang Wang;Zhipiao Liu;Zibin Zheng;Qibo Sun

  • Software-Defined Cooperative Data Sharing in Edge Computing Assisted 5G-VANET

    Guiyang Luo;Haibo Zhou;Nan Cheng;Quan Yuan

  • A Blockchain-Enabled Trustless Crowd-Intelligence Ecosystem on Mobile Edge Computing

    Jinliang Xu;Shangguang Wang;Bharat K. Bhargava;Fangchun Yang

  • Multi-Dimensional QoS Prediction for Service Recommendations

    Shangguang Wang;You Ma;Bo Cheng;Fangchun Yang

  • Using Proactive Fault-Tolerance Approach to Enhance Cloud Service Reliability

    Jialei Liu;Shangguang Wang;Ao Zhou;Sathish A. P. Kumar

  • Provision of Data-Intensive Services Through Energy- and QoS-Aware Virtual Machine Placement in National Cloud Data Centers

    Shangguang Wang;Ao Zhou;Ching-Hsien Hsu;Xuanyu Xiao

  • Particle Swarm Optimization with Skyline Operator for Fast Cloud-based Web Service Composition

    Shangguang Wang;Qibo Sun;Hua Zou;Fangchun Yang

  • A Highly Accurate Prediction Algorithm for Unknown Web Service QoS Values

    You Ma;Shangguang Wang;Patrick C.K. Hung;Ching-Hsien Hsu

Frequent Co-Authors

Shangguang Wang
Shangguang Wang Beijing University of Posts and Telecommunications
Ching-Hsien Hsu
Ching-Hsien Hsu Asia University Taiwan
Zibin Zheng
Zibin Zheng Sun Yat-sen University
Haibo Zhou
Haibo Zhou Nanjing University
Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Xuemin Shen
Xuemin Shen University of Waterloo
Rajkumar Buyya
Rajkumar Buyya University of Melbourne
Bo Cheng
Bo Cheng Beijing University of Posts and Telecommunications
Ning Zhang
Ning Zhang University of Windsor
Nan Cheng
Nan Cheng Xidian University

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