verified SJR 3,686 · Q1 • database Scopus / SJR & Web of Science indexed

United States · IEEE Computational Intellige...

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IEEE Transactions on Neural Networks and Learning Systems

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 269. It has an SJR impact factor of 3,686 and it has a best quartile of Q1. It has an SJR impact factor of 3,686.

IEEE Transactions on Neural Networks and Learning Systems focuses its scope in these topics and keywords: neural, learning, network, classification, data, multiple, machine, learningearly, neucube, adaptive, ...

ISSN: 2162-237X

Editorial: IEEE Computational Intelligence Society

Category: Software

Indexation: verifiedScopus / SJR verifiedWeb of Science

Unclaimed profile — some fields may be incomplete.

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SJR Impact Factor trending_up

3,686 Q1

H-index 269

Tasa de Aceptación pie_chart

19% Selectiva

Fuente Acceptance_Rate

Tiempo a publicación hourglass_top

NPD

Campo Sin dato

Coste de Publicación (APC) payments

NPD Subscription

Ruta Non-OA NPD

Metrics

Campos Scimago / CoP — sin series inventadas

Scopus / SJR Web of Science

SJR Impact

3,686

H-index

269

Docs (year)

1991

Docs 3y

2021

Total refs

97654

Cites 3y

31905

Citable 3y

2010

Cites/Doc 2y

13.72

Ref/Doc

49.05

Immediate OA

—

Embargoed OA

NPD

Non OA / Submission

—

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Best articles by citations

Artificial Electrical Morris-Lecar Neuron

Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data

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

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

Dependent Online Kernel Learning With Constant Number of Random Fourier Features

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

Data Imputation Through the Identification of Local Anomalies

Continual Multiview Task Learning via Deep Matrix Factorization

Context Dependent Encoding Using Convolutional Dynamic Networks

Constrained Clustering With Imperfect Oracles

Benchmarking Neural Networks For Quantum Computations

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

SHOW MORE ARTICLES

Autoencoder Constrained Clustering With Adaptive Neighbors

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

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

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

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

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

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

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

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

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

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

A Maximally Split and Relaxed ADMM for Regularized Extreme Learning Machines

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