Deep Learning Based Modulation Recognition With Multi-Cue Fusion

Article Properties
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Telecommunication
Technology
Technology (General)
Industrial engineering
Management engineering
Information technology
Refrences
Title Journal Journal Categories Citations Publication Date
Radio machine learning dataset generation with GNU radio 2016
10.1109/TPAMI.2019.2913372
10.1109/CVPR.2018.00572
10.1109/TCCN.2018.2835460
10.1109/LWC.2019.2900247
Citations
Title Journal Journal Categories Citations Publication Date
Intelligent identification technology for high‐order digital modulation signals under low signal‐to‐noise ratio conditions IET Signal Processing
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
 2 2023
Citations Analysis
Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
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 Intelligent identification technology for high‐order digital modulation signals under low signal‐to‐noise ratio conditions and was published in 2023. The most recent citation comes from a 2023 study titled Intelligent identification technology for high‐order digital modulation signals under low signal‐to‐noise ratio conditions. This article reached its peak citation in 2023, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the IET Signal Processing 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