World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
7683
World Ranking
5436
National Ranking
729

Overview

De-gan Zhang is affiliated with Tianjin University of Technology in China and has an extensive research portfolio primarily in computer science and engineering. Their work focuses largely on computer networks and communications, electrical and electronic engineering, information systems, and artificial intelligence, with significant contributions to applied topics in IoT and edge/fog computing.

Their scholarly output includes numerous papers published in prominent venues, addressing various aspects of networking protocols, edge computing, and vehicular networks. Notable recent publications include:

  • A Multi-Path Routing Protocol Based on Link Lifetime and Energy Consumption Prediction for Mobile Edge Computing (2020, IEEE Access)
  • Novel method of mobile edge computation offloading based on evolutionary game strategy for IoT devices (2020, AEU - International Journal of Electronics and Communications)
  • Task offloading method of edge computing in internet of vehicles based on deep reinforcement learning (2022, Cluster Computing)
  • A new algorithm of clustering AODV based on edge computing strategy in IOV (2021, Wireless Networks)
  • Novel Edge Caching Approach Based on Multi-Agent Deep Reinforcement Learning for Internet of Vehicles (2023, IEEE Transactions on Intelligent Transportation Systems)

Their research covers multiple interrelated topics, including:

  • IoT and Edge/Fog Computing
  • Caching and Content Delivery
  • Blockchain Technology Applications and Security
  • Vehicular Ad Hoc Networks (VANETs)
  • Age of Information Optimization
  • Opportunistic and Delay-Tolerant Networks
  • Energy Efficient Wireless Sensor Networks

Frequent collaborators in Zhang's research include Jie Zhang, Ting Zhang, and Yu-ya Cui, reflecting ongoing partnerships that have contributed to multiple joint publications.

Their work has appeared repeatedly in specific journals and conferences that demonstrate consistent engagement with communities in computing and communications, such as:

  • Cluster Computing
  • AEU - International Journal of Electronics and Communications
  • Ad Hoc Networks
  • IEEE Access
  • Wireless Networks

Zhang's research often intersects with engineering challenges and the application of advanced computational models including deep reinforcement learning and game-theoretic approaches targeted at optimizing task offloading and routing in dynamic network environments. This approach addresses both energy consumption and latency optimization in mobile edge and vehicular networks.

Best Publications

  • An Energy-Balanced Routing Method Based on Forward-Aware Factor for Wireless Sensor Networks

    Degan Zhang;Guang Li;Ke Zheng;Xuechao Ming

  • New Multi-Hop Clustering Algorithm for Vehicular Ad Hoc Networks

    Degan Zhang;Hui Ge;Ting Zhang;Yu-Ya Cui

  • A new constructing approach for a weighted topology of wireless sensor networks based on local-world theory for the Internet of Things (IOT)

    Unknown

  • Novel unequal clustering routing protocol considering energy balancing based on network partition & distance for mobile education

    De-gan Zhang;Si Liu;Ting Zhang;Ting Zhang;Zhao Liang

  • Novel self-adaptive routing service algorithm for application in VANET

    Degan Zhang;Degan Zhang;Ting Zhang;Ting Zhang;Xiaohuan Liu;Xiaohuan Liu

  • Design and implementation of embedded un-interruptible power supply system EUPSS for web-based mobile application

    De-gan Zhang;Xiao-dan Zhang

  • Capacity of Cooperative Vehicular Networks with Infrastructure Support: Multiuser Case

    Jieqiong Chen;Guoqiang Mao;Changle Li;Weifa Liang

  • A novel multicast routing method with minimum transmission for WSN of cloud computing service

    De-Gan Zhang;Ke Zheng;Ting Zhang;Xiang Wang

  • A Low Duty Cycle Efficient MAC Protocol Based on Self-Adaption and Predictive Strategy

    De-gan Zhang;De-gan Zhang;Shan Zhou;Ya-meng Tang

  • A kind of effective data aggregating method based on compressive sensing for wireless sensor network

    De-gan Zhang;Ting Zhang;Jie Zhang;Yue Dong

  • A new method of data missing estimation with FNN-based tensor heterogeneous ensemble learning for internet of vehicle

    Ting Zhang;De-gan Zhang;Hao-ran Yan;Jian-ning Qiu

  • Novel optimized link state routing protocol based on quantum genetic strategy for mobile learning

    De-gan Zhang;De-gan Zhang;Ting Zhang;Yue Dong;Xiao-huan Liu

  • Novel approach of distributed & adaptive trust metrics for MANET

    De-gan Zhang;De-gan Zhang;Jin-xin Gao;Xiao-huan Liu;Ting Zhang

  • Novel dynamic source routing protocol (DSR) based on genetic algorithm-bacterial foraging optimization (GA-BFO)

    De-gan Zhang;De-gan Zhang;Si Liu;Xiao-huan Liu;Ting Zhang

  • Novel Quick Start (QS) method for optimization of TCP

    De-Gan Zhang;Ke Zheng;De-Xin Zhao;Xiao-Dong Song

  • Novel PEECR-based clustering routing approach

    De-gan Zhang;Hong-li Niu;Si Liu

  • Optimal Base Station Antenna Downtilt in Downlink Cellular Networks

    Junnan Yang;Ming Ding;Guoqiang Mao;Zihuai Lin

  • A Multi-Path Routing Protocol Based on Link Lifetime and Energy Consumption Prediction for Mobile Edge Computing

    De-Gan Zhang;Lu Chen;Jie Zhang;Jie Chen

  • A new clustering routing method based on PECE for WSN

    De-gan Zhang;Xiang Wang;Xiao-dong Song;Ting Zhang

  • Dynamic Analysis for the Average Shortest Path Length of Mobile Ad Hoc Networks Under Random Failure Scenarios

    Si Liu;De-Gan Zhang;Xiao-huan Liu;Ting Zhang

  • New Method of Energy Efficient Subcarrier Allocation Based on Evolutionary Game Theory

    De-gan Zhang;De-gan Zhang;Chen Chen;Yu-ya Cui;Ting Zhang

  • A new approach and system for attentive mobile learning based on seamless migration

    Unknown

  • Capacity of Cooperative Vehicular Networks with Infrastructure Support: Multi-user Case

    Jieqiong Chen;Guoqiang Mao;Changle Li;Weifa Liang

Frequent Co-Authors

Guoqiang Mao
Guoqiang Mao Xidian University
Jie Zhang
Jie Zhang Nanyang Technological University
Weifa Liang
Weifa Liang City University of Hong Kong
Zihuai Lin
Zihuai Lin University of Sydney
Ming Ding
Ming Ding Commonwealth Scientific and Industrial Research Organisation
Tom H. Luan
Tom H. Luan Xidian University

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