World's Best Scientists 2026 revealed!
Award Badge
Computer Science
China
2023

D-Index & Metrics

Computer Science

D-Index
85
Citations
27904
World Ranking
805
National Ranking
122

Research.com Recognitions

  • 2023 - Research.com Computer Science in China Leader Award

Overview

Lei Shu is affiliated with Nanjing Agricultural University in China and has an extensive research portfolio primarily in the fields of Computer Science and Engineering. Their work spans various subfields including Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Plant Science, and Computer Vision and Pattern Recognition.

The research topics frequently addressed by Lei Shu include:

  • Smart Agriculture and AI
  • IoT and Edge/Fog Computing
  • Topic Modeling
  • Energy Efficient Wireless Sensor Networks
  • Energy Harvesting in Wireless Networks
  • Domain Adaptation and Few-Shot Learning
  • Underwater Vehicles and Communication Systems

Lei Shu has published in several venues with notable frequency, indicating a consistent research output in these domains. The most frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE/CAA Journal of Automatica Sinica
  • IEEE Access
  • IEEE Transactions on Vehicular Technology

Their recent papers showcase a focus on the intersection of technology and smart agriculture, IoT, and related security challenges. Selected recent publications include:

  • From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges, 2020, IEEE Transactions on Industrial Informatics
  • Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies, 2021, IEEE/CAA Journal of Automatica Sinica
  • Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges, 2020, IEEE Access
  • A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges, 2020, IEEE/CAA Journal of Automatica Sinica
  • Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning, 2021, Reliability Engineering & System Safety

Lei Shu has collaborated frequently with a set of coauthors, reflecting a network of research partnerships. Their frequent coauthors include:

  • Guangjie Han
  • Xing Yang
  • Kailiang Li
  • Kai Huang
  • Ye Liu

The combination of fields and topics illustrates a multidisciplinary approach, integrating advancements in artificial intelligence with applications in agriculture, wireless networks, and sensor technologies. The focus on security, privacy, and emerging technologies such as blockchain also highlights a concern with the challenges accompanying smart systems and IoT infrastructures.

Best Publications

  • Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges

    Baotong Chen;Jiafu Wan;Lei Shu;Peng Li

  • Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey

    Shimin Gong;Xiao Lu;Dinh Thai Hoang;Dusit Niyato

  • Towards Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey

    Shimin Gong;Xiao Lu;Dinh Thai Hoang;Dusit Niyato

  • Review: A survey on coverage and connectivity issues in wireless sensor networks

    Chuan Zhu;Chunlin Zheng;Lei Shu;Guangjie Han

  • From Industry 4.0 to Agriculture 4.0: Current Status, Enabling Technologies, and Research Challenges

    Ye Liu;Xiaoyuan Ma;Lei Shu;Gerhard Petrus Hancke

  • Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges

    Mithun Mukherjee;Lei Shu;Di Wang

  • Green Internet of Things for Smart World

    Chunsheng Zhu;Victor C. M. Leung;Lei Shu;Edith C.-H. Ngai

  • Security and Privacy in Fog Computing: Challenges

    Mithun Mukherjee;Rakesh Matam;Lei Shu;Leandros Maglaras

  • BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

    Hu Xu;Bing Liu;Lei Shu;Philip S. Yu

  • Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies

    Othmane Friha;Mohamed Amine Ferrag;Lei Shu;Leandros Maglaras

  • Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction

    Hu Xu;Bing Liu;Lei Shu;Philip S. Yu

  • Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges

    Mohamed Amine Ferrag;Lei Shu;Xing Yang;Abdelouahid Derhab

  • A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

    Xing Yang;Lei Shu;Jianing Chen;Mohamed Amine Ferrag

  • A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing

    Liyun Zuo;Lei Shu;Shoubin Dong;Chunsheng Zhu

  • DOC: Deep Open Classification of Text Documents

    Lei Shu;Hu Xu;Bing Liu

  • An Efficient Distributed Trust Model for Wireless Sensor Networks

    Jinfang Jiang;Guangjie Han;Feng Wang;Lei Shu

  • Management and applications of trust in Wireless Sensor Networks: A survey

    Guangjie Han;Jinfang Jiang;Lei Shu;Jianwei Niu

  • Authentication Protocols for Internet of Things: A Comprehensive Survey

    Mohamed Amine Ferrag;Leandros A. Maglaras;Helge Janicke;Jianmin Jiang

  • Internet of Things for Disaster Management: State-of-the-Art and Prospects

    Partha Pratim Ray;Mithun Mukherjee;Lei Shu

  • Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis

    Mohamed Amine Ferrag;Othmane Friha;Leandros Maglaras;Helge Janicke

  • Analysis of Energy-Efficient Connected Target Coverage Algorithms for Industrial Wireless Sensor Networks

    Guangjie Han;Li Liu;Jinfang Jiang;Lei Shu

Frequent Co-Authors

Guangjie Han
Guangjie Han Hohai University
Chunsheng Zhu
Chunsheng Zhu Southern University of Science and Technology
Joel J. P. C. Rodrigues
Joel J. P. C. Rodrigues Federal University of Piauí
Jianwei Niu
Jianwei Niu Beihang University
Manfred Hauswirth
Manfred Hauswirth Technical University of Berlin
Laurence T. Yang
Laurence T. Yang St. Francis Xavier University
Bing Liu
Bing Liu University of Illinois at Chicago
Takahiro Hara
Takahiro Hara Osaka University
Kun Wang
Kun Wang University of California, Los Angeles
Philip S. Yu
Philip S. Yu University of Illinois at Chicago

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

Studying Computer Science in the USA opens doors to a variety of online degrees and career options that align with technology-driven industries. For those looking to fast-track their careers, a 1 year computer science degree online allows learners to earn valuable credentials quickly and flexibly.

Many students also consider interdisciplinary studies. For example, pursuing online mechanical engineering degrees can expand professional opportunities into design, manufacturing, and robotics.

Those interested in the intersection of technology and environmental issues may explore the cheapest online environmental science degree. This path is ideal for students seeking affordable ways to enter sustainability or green technology fields.

Graduates from these diverse programs will find a range of job possibilities, such as software development, environmental analysis, or engineering roles. For more insights, explore the various jobs for environmental science majors to understand how these degrees translate into fulfilling careers.

Best Scientists Citing Lei Shu

Trending Scientists