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Computer Science

D-Index
59
Citations
11358
World Ranking
3481
National Ranking
468

Overview

Shaohua Wan is affiliated with the University of Electronic Science and Technology of China. Their research spans several core areas within computer science and engineering, with a substantial focus on intelligent systems and communication technologies.

The primary fields of study for Shaohua Wan include Computer Science and Engineering. Within these disciplines, they have contributed notably to subfields such as Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, and Aerospace Engineering.

The main research topics covered by Shaohua Wan comprise:

  • IoT and Edge/Fog Computing
  • Advanced Neural Network Applications
  • Privacy-Preserving Technologies in Data
  • Blockchain Technology Applications and Security
  • Vehicular Ad Hoc Networks (VANETs)
  • UAV Applications and Optimization
  • Advanced Image and Video Retrieval Techniques

Shaohua Wan has contributed extensively to various publication venues, with frequent appearances in:

  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Internet of Things Journal
  • IEEE Transactions on Industrial Informatics
  • ACM Transactions on Multimedia Computing Communications and Applications
  • arXiv (Cornell University)

Co-authorship is a significant aspect of their research activities. Frequent collaborators include:

  • Chen Chen
  • Yirui Wu
  • Sotirios K. Goudos
  • Xiaoheng Deng
  • Liang Zhao

Some of the recent papers authored or co-authored by Shaohua Wan include:

  • "Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review," 2020, published in Internet of Things
  • "An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System," 2020, published in IEEE Transactions on Intelligent Transportation Systems
  • "FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks," 2021, published in IEEE Transactions on Intelligent Transportation Systems
  • "A long short-term memory-based model for greenhouse climate prediction," 2021, published in International Journal of Intelligent Systems
  • "Blockchain-Empowered Decentralized Horizontal Federated Learning for 5G-Enabled UAVs," 2021, published in IEEE Transactions on Industrial Informatics

Best Publications

  • Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review

    Achilles D. Boursianis;Maria S. Papadopoulou;Panagiotis Diamantoulakis;Aglaia Liopa-Tsakalidi

  • Deep Learning Models for Real-time Human Activity Recognition with Smartphones

    Shaohua Wan;Shaohua Wan;Lianyong Qi;Xiaolong Xu;Chao Tong

  • Deep convolutional neural networks for diabetic retinopathy detection by image classification

    Shaohua Wan;Yan Liang;Yin Zhang

  • Faster R-CNN for multi-class fruit detection using a robotic vision system

    Shaohua Wan;Sotirios K. Goudos

  • An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System

    Chen Chen;Bin Liu;Shaohua Wan;Peng Qiao

  • Cognitive computing and wireless communications on the edge for healthcare service robots

    Shaohua Wan;Shaohua Wan;Zonghua Gu;Zonghua Gu;Qiang Ni

  • An edge computing-enabled computation offloading method with privacy preservation for internet of connected vehicles

    Xiaolong Xu;Xiaolong Xu;Yuan Xue;Lianyong Qi;Yuan Yuan

  • Stimulus-driven and concept-driven analysis for image caption generation

    Songtao Ding;Shiru Qu;Yuling Xi;Shaohua Wan

  • FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks

    Su Liu;Jiong Yu;Xiaoheng Deng;Shaohua Wan

  • A long short-term memory-based model for greenhouse climate prediction

    Yuwen Liu;Dejuan Li;Shaohua Wan;Fan Wang

  • Blockchain-Empowered Decentralized Horizontal Federated Learning for 5G-Enabled UAVs

    Chaosheng Feng;Bin Liu;Keping Yu;Sotirios K. Goudos

  • Knowledge-Aided Convolutional Neural Network for Small Organ Segmentation

    Yu Zhao;Hongwei Li;Shaohua Wan;Anjany Sekuboyina

  • Multi-dimensional data indexing and range query processing via Voronoi diagram for internet of things

    Shaohua Wan;Yu Zhao;Tian Wang;Zonghua Gu

  • Joint Optimization of Offloading Utility and Privacy for Edge Computing Enabled IoT

    Xiaolong Xu;Chengxun He;Zhanyang Xu;Lianyong Qi

  • Adaptive Fusion and Category-Level Dictionary Learning Model for Multiview Human Action Recognition

    Zan Gao;Hai-Zhen Xuan;Hua Zhang;Shaohua Wan

  • Edge computing enabled video segmentation for real-time traffic monitoring in internet of vehicles

    Shaohua Wan;Shaohua Wan;Songtao Ding;Chen Chen

  • Smart Irrigation System for Precision Agriculture—The AREThOU5A IoT Platform

    Achilles D. Boursianis;Maria S. Papadopoulou;Antonis Gotsis;Shaohua Wan

  • Finding All You Need: Web APIs Recommendation in Web of Things Through Keywords Search

    Lianyong Qi;Qiang He;Feifei Chen;Wanchun Dou

  • Edge Server Quantification and Placement for Offloading Social Media Services in Industrial Cognitive IoV

    Xiaolong Xu;Bowen Shen;Xiaochun Yin;Mohammad R. Khosravi

  • An Intelligent Video Analysis Method for Abnormal Event Detection in Intelligent Transportation Systems

    Shaohua Wan;Xiaolong Xu;Tian Wang;Zonghua Gu

  • Automated Colorization of a Grayscale Image With Seed Points Propagation

    Shaohua Wan;Yu Xia;Lianyong Qi;Yee-Hong Yang

  • Efficient computation offloading for Internet of Vehicles in edge computing-assisted 5G networks

    Shaohua Wan;Xiang Li;Yuan Xue;Wenmin Lin;Wenmin Lin

Frequent Co-Authors

Lianyong Qi
Lianyong Qi Qufu Normal University
Xiaolong Xu
Xiaolong Xu Nanjing University of Information Science and Technology
Sotirios K. Goudos
Sotirios K. Goudos Aristotle University of Thessaloniki
Qingqi Pei
Qingqi Pei Xidian University
Yin Zhang
Yin Zhang University of Electronic Science and Technology of China
Wanchun Dou
Wanchun Dou Nanjing University
Xuyun Zhang
Xuyun Zhang Macquarie University
Jake K. Aggarwal
Jake K. Aggarwal The University of Texas at Austin
Kim-Kwang Raymond Choo
Kim-Kwang Raymond Choo The University of Texas at San Antonio
Tian Wang
Tian Wang Beijing Normal University

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