World's Best Scientists 2026 revealed!
Tom H. Luan

Tom H. Luan

D-Index & Metrics

Computer Science

D-Index
58
Citations
12916
World Ranking
3642
National Ranking
484

Overview

Tom H. Luan is affiliated with Xidian University in China. Their primary research spans multiple areas within computer science and engineering, with a substantial body of work focused on computer networks, privacy-preserving technologies, and intelligent systems.

The research topics covered by Tom H. Luan include:

  • Privacy-Preserving Technologies in Data
  • IoT and Edge/Fog Computing
  • Vehicular Ad Hoc Networks (VANETs)
  • Blockchain Technology Applications and Security
  • UAV Applications and Optimization
  • Digital Transformation in Industry
  • Opportunistic and Delay-Tolerant Networks

Their main fields of study are:

  • Computer Science
  • Engineering

Subfields of particular focus include:

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Information Systems
  • Aerospace Engineering

Tom H. Luan has published extensively in various academic venues. The most frequent publication platforms are:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Network

Frequent co-authors collaborating with Tom H. Luan include:

  • Zhou Su
  • Yilong Hui
  • Nan Cheng
  • Longxiang Gao
  • Yuntao Wang

Notable recent papers authored or co-authored by Tom H. Luan are:

  • "A Survey on Metaverse: Fundamentals, Security, and Privacy" (2022), published in IEEE Communications Surveys & Tutorials
  • "Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing" (2020), published in IEEE Internet of Things Journal
  • "A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions" (2023), published in IEEE Open Journal of the Computer Society
  • "Secure and Efficient Federated Learning for Smart Grid With Edge-Cloud Collaboration" (2021), published in IEEE Transactions on Industrial Informatics
  • "A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects" (2023), published in IEEE Internet of Things Journal

Tom H. Luan has contributed to academic books published by prominent publishers. These include:

  • "The Next Generation Vehicular Networks, Modeling, Algorithm and Applications" (2020), published by Springer International Publishing
  • "Privacy-Preserving in Edge Computing" (2021), published by Springer International Publishing
  • "Ad Hoc Networks and Tools for IT" (2022), published in Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Best Publications

  • A Survey on Metaverse: Fundamentals, Security, and Privacy

    Unknown

  • Optimal Workload Allocation in Fog-Cloud Computing Toward Balanced Delay and Power Consumption

    Ruilong Deng;Rongxing Lu;Chengzhe Lai;Tom H. Luan

  • Pseudonym Changing at Social Spots: An Effective Strategy for Location Privacy in VANETs

    Rongxing Lu;Xiaodong Li;T. H. Luan;Xiaohui Liang

  • Fog Computing: Focusing on Mobile Users at the Edge.

    Tom H. Luan;Longxiang Gao;Zhi Li;Yang Xiang

  • Decentralized Privacy Using Blockchain-Enabled Federated Learning in Fog Computing

    Youyang Qu;Longxiang Gao;Tom H. Luan;Yong Xiang

  • Enabling Fine-Grained Multi-Keyword Search Supporting Classified Sub-Dictionaries over Encrypted Cloud Data

    Hongwei Li;Yi Yang;Tom H. Luan;Xiaohui Liang

  • A Survey on ChatGPT: AI–Generated Contents, Challenges, and Solutions

    Unknown

  • Secure and Efficient Federated Learning for Smart Grid With Edge-Cloud Collaboration

    Zhou Su;Yuntao Wang;Tom H. Luan;Ning Zhang

  • A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects

    Unknown

  • Towards power consumption-delay tradeoff by workload allocation in cloud-fog computing

    Ruilong Deng;Rongxing Lu;Chengzhe Lai;Tom H. Luan

  • A Survey of Blockchain and Intelligent Networking for the Metaverse

    Unknown

  • Enabling Efficient Multi-Keyword Ranked Search Over Encrypted Mobile Cloud Data Through Blind Storage

    Hongwei Li;Dongxiao Liu;Yuanshun Dai;Tom H. Luan

  • Engineering searchable encryption of mobile cloud networks: when QoE meets QoP

    Hongwei Li;Dongxiao Liu;Yuanshun Dai;Tom H. Luan

  • MAC in Motion: Impact of Mobility on the MAC of Drive-Thru Internet

    Tom Hao Luan;Xinhua Ling;Xuemin Shen

  • A Decision-Making Strategy for Vehicle Autonomous Braking in Emergency via Deep Reinforcement Learning

    Yuchuan Fu;Changle Li;Fei Richard Yu;Tom H. Luan

  • ChainCluster: Engineering a Cooperative Content Distribution Framework for Highway Vehicular Communications

    Haibo Zhou;Bo Liu;Tom H. Luan;Fen Hou

  • Minimizing the Delay and Cost of Computation Offloading for Vehicular Edge Computing

    Quyuan Luo;Changle Li;Tom Luan;Weisong Shi

  • Impact of Network Dynamics on User's Video Quality: Analytical Framework and QoS Provision

    T.H. Luan;L.X. Cai;Xuemin Shen

  • Task Offloading for Post-Disaster Rescue in Unmanned Aerial Vehicles Networks

    Unknown

  • Optimal Base Station Antenna Downtilt in Downlink Cellular Networks

    Junnan Yang;Ming Ding;Guoqiang Mao;Zihuai Lin

  • Personalized Search Over Encrypted Data With Efficient and Secure Updates in Mobile Clouds

    Hongwei Li;Dongxiao Liu;Yuanshun Dai;Tom H. Luan

  • Engineering a Distributed Infrastructure for Large-Scale Cost-Effective Content Dissemination over Urban Vehicular Networks

    Tom H. Luan;Lin X. Cai;Jiming Chen;Xuemin Shen

  • Dimensioning network deployment and resource management in green mesh networks

    L. X. Cai;H. V. Poor;Yongkang Liu;T. H. Luan

  • Distributed Task Allocation to Enable Collaborative Autonomous Driving With Network Softwarization

    Zhou Su;Yilong Hui;Tom H. Luan

  • Collaborative Data Scheduling for Vehicular Edge Computing via Deep Reinforcement Learning

    Quyuan Luo;Changle Li;Tom H. Luan;Weisong Shi

  • Vehicular Blockchain-Based Collective Learning for Connected and Autonomous Vehicles

    Yuchuan Fu;Fei Richard Yu;Changle Li;Tom H. Luan

Frequent Co-Authors

Zhou Su
Zhou Su Xi'an Jiaotong University
Xuemin Shen
Xuemin Shen University of Waterloo
Shui Yu
Shui Yu University of Technology Sydney
Yong Xiang
Yong Xiang Deakin University
Wanlei Zhou
Wanlei Zhou City University of Macau
Fan Bai
Fan Bai General Motors (United States)
Lin Cai
Lin Cai Illinois Institute of Technology
Rongxing Lu
Rongxing Lu Queen's University
Guoqiang Mao
Guoqiang Mao Xidian University
Weisong Shi
Weisong Shi Wayne State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens the door to a wide range of online degree options and career trajectories. Many students start with an associate's degree to build a strong technical foundation. These programs usually offer flexibility and quick entry into the workforce.

For those looking to advance their knowledge or specialize further, there are many inexpensive masters degrees available online. These programs are ideal for deepening expertise while managing costs. Leadership careers in technology and education can also benefit from advanced degrees such as an online phd leadership or an ed.d educational leadership program, both offering affordable paths to high-level roles.

Whether you are aiming for entry-level tech roles or executive leadership, exploring these online pathways offers flexibility, affordability, and the chance to tailor your academic journey to your career goals.

Best Scientists Citing Tom H. Luan

Trending Scientists

Recently Published Articles