World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
14781
World Ranking
4995
National Ranking
2320

Overview

Wei Yu is affiliated with Towson University in the United States and conducts research primarily in the fields of Computer Science and Engineering. Their work spans subfields including Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems, and Control and Systems Engineering.

The scientist's research extensively covers various topics, notably:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Smart Grid Security and Resilience
  • Privacy-Preserving Technologies in Data
  • Digital Transformation in Industry
  • Anomaly Detection Techniques and Applications
  • Adversarial Robustness in Machine Learning

Wei Yu has contributed to numerous publications in respected venues. Frequent publication outlets include:

  • IEEE Internet of Things Journal
  • Future Internet
  • arXiv (Cornell University)
  • International Journal of Sensor Networks
  • SSRN Electronic Journal

Notable recent papers authored or co-authored by Wei Yu include:

  • "Toward Edge-Based Deep Learning in Industrial Internet of Things," 2020, published in IEEE Internet of Things Journal
  • "Digital Twin-Cyber Replica of Physical Things: Architecture, Applications and Future Research Directions," 2022, published in Future Internet
  • "Towards asynchronous federated learning for heterogeneous edge-powered internet of things," 2021, published in Digital Communications and Networks
  • "Zero Knowledge Clustering Based Adversarial Mitigation in Heterogeneous Federated Learning," 2020, published in IEEE Transactions on Network Science and Engineering
  • "WSCC: A Weight-Similarity-Based Client Clustering Approach for Non-IID Federated Learning," 2022, published in IEEE Internet of Things Journal

Wei Yu collaborates frequently with several researchers, including:

  • Weixian Liao
  • Cheng Qian
  • Tian Pu
  • David Griffith
  • Nada Golmie

Best Publications

  • A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications

    Jie Lin;Wei Yu;Nan Zhang;Xinyu Yang

  • A Survey on the Edge Computing for the Internet of Things

    Wei Yu;Fan Liang;Xiaofei He;William Grant Hatcher

  • A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective

    Hansong Xu;Wei Yu;David Griffith;Nada Golmie

  • A Survey of Deep Learning: Platforms, Applications and Emerging Research Trends

    William Grant Hatcher;Wei Yu

  • On False Data-Injection Attacks against Power System State Estimation: Modeling and Countermeasures

    Qingyu Yang;Jie Yang;Wei Yu;Dou An

  • A Survey on Big Data Market: Pricing, Trading and Protection

    Fan Liang;Wei Yu;Dou An;Qingyu Yang

  • DSSS-Based Flow Marking Technique for Invisible Traceback

    Wei Yu;Xinwen Fu;S. Graham;Dong Xuan

  • A Survey of Blockchain: Techniques, Applications, and Challenges

    Weichao Gao;William G. Hatcher;Wei Yu

  • On False Data Injection Attacks against Distributed Energy Routing in Smart Grid

    Jie Lin;Wei Yu;Xinyu Yang;Guobin Xu

  • Toward Edge-Based Deep Learning in Industrial Internet of Things

    Fan Liang;Wei Yu;Xing Liu;David Griffith

  • Toward Integrating Distributed Energy Resources and Storage Devices in Smart Grid

    Guobin Xu;Wei Yu;David Griffith;Nada Golmie

  • On Optimal PMU Placement-Based Defense Against Data Integrity Attacks in Smart Grid

    Qingyu Yang;Dou An;Rui Min;Wei Yu

  • Machine Learning for Security and the Internet of Things: The Good, the Bad, and the Ugly

    Fan Liang;William Grant Hatcher;Weixian Liao;Weichao Gao

  • CAP: A Context-Aware Privacy Protection System for Location-Based Services

    Aniket Pingley;Wei Yu;Nan Zhang;Xinwen Fu

  • A Novel En-Route Filtering Scheme Against False Data Injection Attacks in Cyber-Physical Networked Systems

    Xinyu Yang;Jie Lin;Wei Yu;Paul-Marie Moulema

  • Secure Internet of Things (IoT)-Based Smart-World Critical Infrastructures: Survey, Case Study and Research Opportunities

    Xing Liu;Cheng Qian;William Grant Hatcher;Hansong Xu

  • A Real-Time En-Route Route Guidance Decision Scheme for Transportation-Based Cyberphysical Systems

    Jie Lin;Wei Yu;Xinyu Yang;Qingyu Yang

  • A new cell counter based attack against tor

    Zhen Ling;Junzhou Luo;Wei Yu;Xinwen Fu

  • A Cloud Computing Based Network Monitoring and Threat Detection System for Critical Infrastructures

    Zhijiang Chen;Guobin Xu;Vivek Mahalingam;Linqiang Ge

  • Survey on Improving Data Utility in Differentially Private Sequential Data Publishing

    Xinyu Yang;Teng Wang;Xuebin Ren;Wei Yu

  • A Novel En-route Filtering Scheme against False Data Injection Attacks in Cyber-Physical Networked Systems

    Xinyu Yang;Jie Lin;Paul Moulema;Wei Yu

Frequent Co-Authors

Xinwen Fu
Xinwen Fu University of Massachusetts Lowell
Xinyu Yang
Xinyu Yang Xi'an Jiaotong University
Wei Zhao
Wei Zhao Shenzhen Institutes of Advanced Technology
Nada Golmie
Nada Golmie National Institute of Standards and Technology
Dong Xuan
Dong Xuan The Ohio State University
Erik Blasch
Erik Blasch United States Air Force Research Laboratory
Junzhou Luo
Junzhou Luo Southeast University
Genshe Chen
Genshe Chen Intelligent Fusion Technology (United States)
Weijia Jia
Weijia Jia Beijing Normal University
Houbing Song
Houbing Song University of Maryland, Baltimore County

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 doors to a wide range of related online degrees and career options. Many students today are considering cross-disciplinary programs to expand their expertise and enhance job prospects. For those interested in applying computer science to environmental issues, pursuing an online environmental engineering degree science and engineering offers the flexibility to gain valuable skills in sustainability, data analysis, and environmental systems.

Engineering fields like mechanical engineering also intersect with computer science. Choosing an online mechanical engineering degree can lead to careers in robotics, automated systems, and advanced manufacturing.

Those fascinated by theory and research may want to pursue an online physics degree. Studying physics online is a great way to build analytical skills and mathematical foundations relevant for future technologists.

If data-driven fields are of interest, it's worth investigating what is the cheapest data science course in the us?. Data science is a rapidly growing field, and affordable online programs can make this career pathway even more accessible.

Best Scientists Citing Wei Yu

Trending Scientists