EURASIP Journal on Advances in Signal Processing

Papers
(The H4-Index of EURASIP Journal on Advances in Signal Processing is 18. 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
RETRACTED ARTICLE: A comparative study of different acceleration sensors in measuring energy consumption of human martial arts76
Retraction Note: Residential planning and layout design method based on multi-sensor information fusion54
Computer simulation algorithm of gymnastics formation change path based on wireless sensor51
De-noising classification method for financial time series based on ICEEMDAN and wavelet threshold, and its application49
Hand pose estimation based on improved NSRM network45
Throughput of distributed queueing-based LoRa for long-distance communication43
RETRACTED ARTICLE: Recognition method of radar intra-pulse modulation type based on signal square spectrum bandwidth ratio39
Multi-headed deep learning-based estimator for correlated-SIRV Pareto type II distributed clutter33
Image embedding and user multi-preference modeling for data collection sampling22
An improved multi-source information fusion method for IMU compensation of missile22
Active eavesdropping detection: a novel physical layer security in wireless IoT21
Average effective subcarrier-domain sparse representation approach for target information estimation in CP-OFDM-based passive bistatic radar20
A general geometric transformation model for line-scan image registration20
Recognition of warheads by range-profile matching with automatic threshold20
A survey on filtered-x least mean square-based active noise control systems with emphasis on reducing computational complexity19
Detecting GNSS spoofing using deep learning19
Enhancing human behavior recognition with spatiotemporal graph convolutional neural networks and skeleton sequences18
Efficient and privacy-preserving multi-agent systems for smart city carpooling with k-regret queries and differential privacy18
A survey of machine learning techniques for improving Global Navigation Satellite Systems18
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