World's Best Scientists 2026 revealed!
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Computer Science
China
2026
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Computer Science
Sweden
2025

D-Index & Metrics

Computer Science

D-Index
90
Citations
22292
World Ranking
620
National Ranking
89

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in Sweden Leader Award
  • 2022 - Research.com Computer Science in Sweden Leader Award

Overview

Zhihan Lv is affiliated with Xidian University in China and has an extensive background in computer science and engineering research. Their scholarly output spans over 300 publications, focusing mainly on topics related to the Internet of Things (IoT), edge computing, and intelligent transportation systems.

Their research covers a broad range of fields and subfields including:

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

Key areas of research topics include:

  • IoT and Edge/Fog Computing
  • Traffic Prediction and Management Techniques
  • Digital Transformation in Industry
  • Blockchain Technology Applications and Security
  • Advanced Data and IoT Technologies
  • Network Security and Intrusion Detection
  • Vehicular Ad Hoc Networks (VANETs)

Zhihan Lv has published in several prominent academic venues. Frequent publication outlets for their work are:

  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Journal of Biomedical and Health Informatics
  • IEEE Internet of Things Journal
  • Future Generation Computer Systems
  • ACM Transactions on Multimedia Computing Communications and Applications

Co-authorship is an important part of their research environment. Regular collaborators include:

  • Haibin Lv (42 joint publications)
  • Houbing Song (35 joint publications)
  • Liang Qiao (30 joint publications)
  • Amit Kumar Singh (21 joint publications)
  • Ranran Lou (17 joint publications)

The scientist's recent notable publications demonstrate engagement with contemporary issues such as deep learning, trustworthiness in industrial IoT, and medical image processing. Selected recent papers are:

  • "Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning," 2021, Future Generation Computer Systems
  • "Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence," 2020, IEEE Transactions on Industrial Informatics
  • "Fuzzy System Based Medical Image Processing for Brain Disease Prediction," 2021, Frontiers in Neuroscience
  • "Cyber security in smart cities: A review of deep learning-based applications and case studies," 2020, Sustainable Cities and Society
  • "Fuzzy Detection Aided Real-Time and Robust Visual Tracking Under Complex Environments," 2020, IEEE Transactions on Fuzzy Systems

In addition to journal articles, Zhihan Lv has contributed to book publications, including a title published in 2022 under the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering:

  • "Intelligent Technologies for Interactive Entertainment," 2022

Best Publications

  • Comparison and Modelling of Country-level Microblog User and Activity in Cyber-physical-social Systems Using Weibo and Twitter Data

    Po Yang;Jing Liu;Jun Qi;Yun Yang

  • Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications

    Khan Muhammad;Jamil Ahmad;Zhihan Lv;Paolo Bellavista

  • Game on, science - how video game technology may help biologists tackle visualization challenges.

    Zhihan Lv;Zhihan Lv;Alex Tek;Alex Tek;Franck Da Silva;Charly Empereur-mot

  • Next-Generation Big Data Analytics: State of the Art, Challenges, and Future Research Topics

    Zhihan Lv;Houbing Song;Pablo Basanta-Val;Anthony Steed

  • Touch-less interactive augmented reality game on vision-based wearable device

    Zhihan Lv;Alaa Halawani;Shengzhong Feng;Shafiq Ur Réhman

  • Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning

    Xiaoming Li;Hao Liu;Weixi Wang;Ye Zheng

  • Multimodal Hand and Foot Gesture Interaction for Handheld Devices

    Zhihan Lv;Alaa Halawani;Shengzhong Feng;Haibo Li

  • Trustworthiness in Industrial IoT Systems Based on Artificial Intelligence

    Zhihan Lv;Yang Han;Amit Kumar Singh;Gunasekaran Manogaran

  • A Joint Multi-Criteria Utility-Based Network Selection Approach for Vehicle-to-Infrastructure Networking

    Dingde Jiang;Liuwei Huo;Zhihan Lv;Houbing Song

  • Medical image fusion method by deep learning

    Yi Li;Junli Zhao;Zhihan Lv;Jinhua Li

  • Collaborative Multi-hop Routing in Cognitive Wireless Networks

    Dingde Jiang;Xu Ying;Yang Han;Zhihan Lv

  • Fuzzy System Based Medical Image Processing for Brain Disease Prediction

    Mandong Hu;Yi Zhong;Shuxuan Xie;Haibin Lv

  • Cyber security in smart cities: A review of deep learning-based applications and case studies

    Dongliang Chen;Paweł Wawrzynski;Zhihan Lv

  • Analysis of healthcare big data

    Zhihan Lv;Liang Qiao

  • A Many-Objective Optimization Model of Industrial Internet of Things Based on Private Blockchain

    Bin Cao;Xuesong Wang;Weizheng Zhang;Houbing Song

  • Fuzzy Detection Aided Real-Time and Robust Visual Tracking Under Complex Environments

    Shuai Liu;Shuai Wang;Xinyu Liu;Chin-Teng Lin

  • Hybrid Microgrid Many-Objective Sizing Optimization With Fuzzy Decision

    Bin Cao;Weinan Dong;Zhihan Lv;Yu Gu

  • Infrastructure Monitoring and Operation for Smart Cities Based on IoT System

    Zhihan Lv;Bin Hu;Haibin Lv

  • Multiobjective Evolution of Fuzzy Rough Neural Network via Distributed Parallelism for Stock Prediction

    Bin Cao;Jianwei Zhao;Zhihan Lv;Yu Gu

  • Interaction of Edge-Cloud Computing Based on SDN and NFV for Next Generation IoT

    Zhihan Lv;Wenqun Xiu

  • Energy-Efficient Multi-Constraint Routing Algorithm With Load Balancing for Smart City Applications

    Dingde Jiang;Peng Zhang;Zhihan Lv;Houbing Song

  • Attribute-Based Encryption With Parallel Outsourced Decryption for Edge Intelligent IoV

    Chaosheng Feng;Keping Yu;Moayad Aloqaily;Mamoun Alazab

  • A Self-Assessment Stereo Capture Model Applicable to the Internet of Things.

    Yancong Lin;Jiachen Yang;Zhihan Lv;Wei Wei

Frequent Co-Authors

Houbing Song
Houbing Song University of Maryland, Baltimore County
Dingde Jiang
Dingde Jiang University of Electronic Science and Technology of China
Jaime Lloret
Jaime Lloret Universitat Politècnica de València
Po Yang
Po Yang University of Sheffield
Kim-Kwang Raymond Choo
Kim-Kwang Raymond Choo The University of Texas at San Antonio
Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology
Kaoru Ota
Kaoru Ota Tohoku University
Yan Yan
Yan Yan Illinois Institute of Technology
Irfan Mehmood
Irfan Mehmood University of Bradford
Khan Muhammad
Khan Muhammad Sungkyunkwan University

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