IET Communications

Papers
(The H4-Index of IET Communications is 21. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-04-01 to 2025-04-01.)
ArticleCitations
Compact Dual‐Band Microstrip Array Feed Network Using CRLH‐TL Power Dividers137
Exploring reconfigurable intelligent surfaces for 6G: State‐of‐the‐art and the road ahead109
Guest editorial: Deep learning‐based intelligent communication systems: Using big data analytics90
BCSM: Blockchain‐based cooperative spectrum management system for 5G NR‐U and WiFi coexistence in the unlicensed band64
A routing algorithm for wireless mesh network based on information entropy theory56
An intelligent age of information based self‐energized UAV‐assisted wireless communication system47
Multi‐view synergistic enhanced fault recording data for transmission line fault classification42
Retracted: Development of intrusion detection system using machine learning for the analytics of Internet of Things enabled enterprises40
A joint denoising and deep learning detector for OFDM‐IM40
A novel artificial intelligence based wireless local area network channel access control scheme for low latency e‐health applications39
An enhanced method for dialect transcription via error‐correcting thesaurus34
Segmentation‐enhanced gamma spectrum denoising based on deep learning34
Improved Gauss–Seidel detector for large‐scale MIMO systems32
32
Stability‐oriented RAN slicing based on joint communication and computation offloading32
Noise figure and input intercept point's errors in an AGC‐less microwatt ultrawideband system (limiter and low noise amplifier)29
A neural coding method based on feature sensing28
Queries allocation in WSNs with fuzzy control system26
Front Cover: Filter‐Sketch: A two‐layer sketch for entropy estimation in the data plane25
Path loss modelling based on path profile in urban propagation environments22
Joint optimization of sampling point and sensing threshold for spectrum sensing22
21
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