EURASIP Journal on Advances in Signal Processing

Papers
(The H4-Index of EURASIP Journal on Advances in Signal Processing is 19. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Correction: Quantization-aware sampling set selection for bandlimited graph signals94
Unlicensed assisted transmission in vehicular edge computing networks65
Intelligent radar HRRP target recognition based on CNN-BERT model57
Force estimation for human–robot interaction using electromyogram signals from varied arm postures41
Multi-user communications for line-of-sight large intelligent surface systems35
‘Almost nonunique’ solutions to parameter estimation in periodic signals30
DQN-based resource allocation for NOMA-MEC-aided multi-source data stream30
Resilient data-driven non-intrusive load monitoring for efficient energy management using machine learning techniques28
A signal enhancement method based on the reverberation statistical information28
Blind CFO estimation based on weighted subspace fitting criterion with fuzzy adaptive gravitational search algorithm27
Time delay estimation method based on generalized logarithmic hyperbolic secant function in impulsive noise25
Dual-game based UAV swarm obstacle avoidance algorithm in multi-narrow type obstacle scenarios25
Deep video-based person re-identification (Deep Vid-ReID): comprehensive survey24
Low-complexity signal detection networks based on Gauss-Seidel iterative method for massive MIMO systems24
Secure and privacy-preserving issues in integrated sensing and communication-enabled wireless networks: a survey24
Deep reinforcement learning-based adaptive modulation for OFDM underwater acoustic communication system23
Enhanced rain removal network with convolutional block attention module (CBAM): a novel approach to image de-raining23
TLGRU: time and location gated recurrent unit for multivariate time series imputation23
Seal call recognition based on general regression neural network using Mel-frequency cepstrum coefficient features21
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