OOIR: Observatory of International Research

Papers

(The H4-Index of Neural Networks is 61. 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 2020-03-01 to 2024-03-01.)

Article	Citations
Deep learning on image denoising: An overview	491
Attention-guided CNN for image denoising	373
Transductive LSTM for time-series prediction: An application to weather forecasting	246
EEG based multi-class seizure type classification using convolutional neural network and transfer learning	236
Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics	225
A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia	179
A survey on modern trainable activation functions	178
Chaos in fractional-order discrete neural networks with application to image encryption	166
Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results	164
Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction	153
Heart sound classification based on improved MFCC features and convolutional recurrent neural networks	150
Speaker recognition based on deep learning: An overview	148
Towards explainable deep neural networks (xDNN)	147
Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network	146
A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks	135
Supervised learning in spiking neural networks: A review of algorithms and evaluations	134
Contextual encoder–decoder network for visual saliency prediction	122
A gentle introduction to deep learning for graphs	120
NFN＋: A novel network followed network for retinal vessel segmentation	117
Event-triggered synchronization of discrete-time neural networks: A switching approach	114
Interpolation consistency training for semi-supervised learning	108
Theory of deep convolutional neural networks: Downsampling	108
Deep learning, reinforcement learning, and world models	107
A deep CNN approach to decode motor preparation of upper limbs from time–frequency maps of EEG signals at source level	106
Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks	101

FPGAN: Face de-identification method with generative adversarial networks for social robots	92
Bifurcations in a fractional-order BAM neural network with four different delays	91
Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network	90
Global exponential synchronization of delayed memristive neural networks with reaction–diffusion terms	85
Necessary conditions for STDP-based pattern recognition learning in a memristive spiking neural network	83
Impulsive synchronization of coupled delayed neural networks with actuator saturation and its application to image encryption	83
Convergence of the RMSProp deep learning method with penalty for nonconvex optimization	82
Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture	81
A comprehensive study of class incremental learning algorithms for visual tasks	79
AdaEn-Net: An ensemble of adaptive 2D–3D Fully Convolutional Networks for medical image segmentation	79
Adversarial text-to-image synthesis: A review	79
Exponential and adaptive synchronization of inertial complex-valued neural networks: A non-reduced order and non-separation approach	77
High-dimensional dynamics of generalization error in neural networks	76
Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging	76
Intermittent control for finite-time synchronization of fractional-order complex networks	76
Controller design for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks with uncertain parameters and time-varying delays	74
Multi-scale Attention Convolutional Neural Network for time series classification	72
Missing data imputation with adversarially-trained graph convolutional networks	72
Multiple Discrimination and Pairwise CNN for view-based 3D object retrieval	72
Periodic event-triggered adaptive tracking control design for nonlinear discrete-time systems via reinforcement learning	68
Observer-based adaptive neural tracking control for a class of nonlinear systems with prescribed performance and input dead-zone constraints	68
Resilient fault-tolerant anti-synchronization for stochastic delayed reaction–diffusion neural networks with semi-Markov jump parameters	68
MGLNN: Semi-supervised learning via Multiple Graph Cooperative Learning Neural Networks	67
SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems	67
Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination	66
An EEG channel selection method for motor imagery based brain–computer interface and neurofeedback using Granger causality	65
Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples	64
Training high-performance and large-scale deep neural networks with full 8-bit integers	63
Further results on finite-time synchronization of delayed inertial memristive neural networks via a novel analysis method	63
Bifurcations in a fractional-order neural network with multiple leakage delays	63
Brain MRI analysis using a deep learning based evolutionary approach	62
PET image super-resolution using generative adversarial networks	62
Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines	62
CNN–MHSA: A Convolutional Neural Network and multi-head self-attention combined approach for detecting phishing websites	62
Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences	61
Synchronization of complex networks with time-varying delay of unknown bound via delayed impulsive control	61