Neurocomputing

Papers
(The H4-Index of Neurocomputing is 80. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
A review on the attention mechanism of deep learning1464
On hyperparameter optimization of machine learning algorithms: Theory and practice1456
Focal and efficient IOU loss for accurate bounding box regression760
Deep face recognition: A survey421
Federated learning on non-IID data: A survey390
Pruning and quantization for deep neural network acceleration: A survey388
A comprehensive review on convolutional neural network in machine fault diagnosis341
Activation functions in deep learning: A comprehensive survey and benchmark330
RIME: A physics-based optimization303
Review the state-of-the-art technologies of semantic segmentation based on deep learning286
An introduction to Deep Learning in Natural Language Processing: Models, techniques, and tools279
A review on transfer learning in EEG signal analysis278
CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning264
Online learning: A comprehensive survey244
SRDiff: Single image super-resolution with diffusion probabilistic models235
A survey: Deep learning for hyperspectral image classification with few labeled samples232
Deep learning for monocular depth estimation: A review218
Towards augmented kernel extreme learning models for bankruptcy prediction: Algorithmic behavior and comprehensive analysis199
Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives189
A comprehensive survey on recent metaheuristics for feature selection182
Online continual learning in image classification: An empirical survey177
A review of irregular time series data handling with gated recurrent neural networks175
Groundwater level prediction using machine learning models: A comprehensive review172
Meta-learning for few-shot bearing fault diagnosis under complex working conditions168
GAN-based anomaly detection: A review166
Self-adaptive loss balanced Physics-informed neural networks152
Polarized self-attention: Towards high-quality pixel-wise mapping150
BiERU: Bidirectional emotional recurrent unit for conversational sentiment analysis149
Survey on Deep Neural Networks in Speech and Vision Systems148
Deep multi-view learning methods: A review147
Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks145
Multi-feature fusion: Graph neural network and CNN combining for hyperspectral image classification141
RoFormer: Enhanced transformer with Rotary Position Embedding137
Dynamic network embedding survey130
Effective template update mechanism in visual tracking with background clutter129
Explaining the black-box model: A survey of local interpretation methods for deep neural networks127
Anisotropic angle distribution learning for head pose estimation and attention understanding in human-computer interaction123
A comprehensive survey on robust image watermarking123
A new method of data missing estimation with FNN-based tensor heterogeneous ensemble learning for internet of vehicle120
JWSAA: Joint weak saliency and attention aware for person re-identification118
Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN117
Deep spatio-temporal graph convolutional network for traffic accident prediction116
Deep-reinforcement-learning-based images segmentation for quantitative analysis of gold immunochromatographic strip107
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations107
Infrared small target detection via self-regularized weighted sparse model105
NGDNet: Nonuniform Gaussian-label distribution learning for infrared head pose estimation and on-task behavior understanding in the classroom102
Evolutionary deep learning: A survey101
Differences first in asymmetric brain: A bi-hemisphere discrepancy convolutional neural network for EEG emotion recognition101
Adaptive multi-teacher multi-level knowledge distillation100
Short-term power load forecasting based on Elman neural network with particle swarm optimization97
AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction96
Integrated deep learning method for workload and resource prediction in cloud systems96
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images95
Transfer learning for medical images analyses: A survey94
Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions93
Bipartite synchronization for cooperative-competitive neural networks with reaction–diffusion terms via dual event-triggered mechanism93
Recent developments of content-based image retrieval (CBIR)93
A Time Series Transformer based method for the rotating machinery fault diagnosis92
Recent advances on image edge detection: A comprehensive review91
Interpreting chest X-rays via CNNs that exploit hierarchical disease dependencies and uncertainty labels91
A concise review of recent few-shot meta-learning methods90
Swin transformer for fast MRI90
Fixed-time synchronization analysis for discontinuous fuzzy inertial neural networks with parameter uncertainties89
Time series predicting of COVID-19 based on deep learning89
Robust stability of fractional-order quaternion-valued neural networks with neutral delays and parameter uncertainties88
Automatic depression recognition using CNN with attention mechanism from videos88
Remaining useful life prediction of lithium-ion battery with optimal input sequence selection and error compensation88
A deep reinforcement learning based method for real-time path planning and dynamic obstacle avoidance86
Chinese named entity recognition: The state of the art86
Synthetic data generation for tabular health records: A systematic review86
A multi-task learning model for Chinese-oriented aspect polarity classification and aspect term extraction85
MAT: Motion-aware multi-object tracking84
Reactive Soft Prototype Computing for Concept Drift Streams84
Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection84
Multi-perspective social recommendation method with graph representation learning83
Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview81
Bearing fault diagnosis using transfer learning and self-attention ensemble lightweight convolutional neural network81
Single underwater image enhancement by attenuation map guided color correction and detail preserved dehazing81
An intelligent fault diagnosis model based on deep neural network for few-shot fault diagnosis81
A hybrid deep segmentation network for fundus vessels via deep-learning framework80
A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting80
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