Blockchain-Empowered Edge Intelligence for Internet of Medical Things Against COVID-19

Article Properties
Cite
Dai, Hong-Ning, et al. “Blockchain-Empowered Edge Intelligence for Internet of Medical Things Against COVID-19”. IEEE Internet of Things Magazine, vol. 4, no. 2, 2021, pp. 34-39, https://doi.org/10.1109/iotm.0011.2100030.
Dai, H.-N., Wu, Y., Wang, H., Imran, M., & Haider, N. (2021). Blockchain-Empowered Edge Intelligence for Internet of Medical Things Against COVID-19. IEEE Internet of Things Magazine, 4(2), 34-39. https://doi.org/10.1109/iotm.0011.2100030
Dai, Hong-Ning, Yulei Wu, Hao Wang, Muhammad Imran, and Noman Haider. “Blockchain-Empowered Edge Intelligence for Internet of Medical Things Against COVID-19”. IEEE Internet of Things Magazine 4, no. 2 (2021): 34-39. https://doi.org/10.1109/iotm.0011.2100030.
Dai HN, Wu Y, Wang H, Imran M, Haider N. Blockchain-Empowered Edge Intelligence for Internet of Medical Things Against COVID-19. IEEE Internet of Things Magazine. 2021;4(2):34-9.
Refrences
Title Journal Journal Categories Citations Publication Date
Safeguard Network Slicing in 5G: A Learning Augmented Optimization Approach 2020
AI-Enabled Remote Monitoring of Vital Signs For COVID-19: Methods, Prospects and Challenges Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2021
The Effect of Multiple Interventions to Balance Healthcare Demand for Controlling COVID-19 Outbreaks: A Modelling Study 2021
10.1109/TNSE.2020.3030925
10.1109/MNET.001.1900178
Citations
Title Journal Journal Categories Citations Publication Date
A Comprehensive Survey on Pandemic Patient Monitoring System: Enabling Technologies, Opportunities, and Research Challenges Wireless Personal Communications
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 5 2023
BLMA: Editable Blockchain-Based Lightweight Massive IIoT Device Authentication Protocol IEEE Internet of Things Journal 2023
Citations Analysis
Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled BLMA: Editable Blockchain-Based Lightweight Massive IIoT Device Authentication Protocol and was published in 2023. The most recent citation comes from a 2023 study titled BLMA: Editable Blockchain-Based Lightweight Massive IIoT Device Authentication Protocol. This article reached its peak citation in 2023, with 2 citations. It has been cited in 2 different journals. Among related journals, the IEEE Internet of Things Journal cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year