Default: IEEE Transactions on Neural Networks and Learning Systems

ISSN: 2162-237X

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IEEE Transactions on Neural Networks and Learning Systems Q1 Unclaimed

IEEE Computational Intelligence Society United States
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IEEE Transactions on Neural Networks and Learning Systems is a journal indexed in SJR in Software and Computer Science Applications with an H index of 196. It has an SJR impact factor of 3,555 and it has a best quartile of Q1.

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IEEE Transactions on Neural Networks and Learning Systems


SJR Impact factor


H Index


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Citable Docs (3 years)


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Best articles

3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising

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A Constrained Backpropagation Approach for the Adaptive Solution of Partial Differential Equations

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A Maximally Split and Relaxed ADMM for Regularized Extreme Learning Machines

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A Maximum Entropy Framework for Semisupervised and Active Learning With Unknown and Label-Scarce Classes

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A Novel Dual Successive Projection-Based Model-Free Adaptive Control Method and Application to an Autonomous Car

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A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO)

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Adaptive Iterative Learning Control for Linear Systems With Binary-Valued Observations

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Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients

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Adaptive Neural Control of a Kinematically Redundant Exoskeleton Robot Using Brain-Machine Interfaces

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Adaptive Neural Network Finite-Time Control for Multi-Input and Multi-Output Nonlinear Systems With Positive Powers of Odd Rational Numbers

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Adaptive Neural Networks Finite-Time Optimal Control for a Class of Nonlinear Systems

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An Improved TA-SVM Method Without Matrix Inversion and Its Fast Implementation for Nonstationary Datasets

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Artificial Electrical Morris-Lecar Neuron

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Autoencoder Constrained Clustering With Adaptive Neighbors

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Automatic Face Naming by Learning Discriminative Affinity Matrices From Weakly Labeled Images

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Benchmarking Neural Networks For Quantum Computations

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Constrained Clustering With Imperfect Oracles

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Context Dependent Encoding Using Convolutional Dynamic Networks

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Continual Multiview Task Learning via Deep Matrix Factorization

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Data Imputation Through the Identification of Local Anomalies

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Data-Driven Multiagent Systems Consensus Tracking Using Model Free Adaptive Control

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Dependent Online Kernel Learning With Constant Number of Random Fourier Features

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Design of State-Dependent Switching Laws for Stability of Switched Stochastic Neural Networks With Time-Delays

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Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Admissibility and Termination Analysis

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