IEEE Transactions on Neural Networks and Learning Systems

JournalCitation impact & published research

IEEE Transactions on Neural Networks and Learning Systems is a journal indexed in ScholarIQ from OpenAlex. ScholarIQ records 9,003 works, 446,068 citations and an h-index of 242.

9,003

Works

446,068

Citations

242

h-index

IDs:OpenAlex

What are the most-cited papers on IEEE Transactions on Neural Networks and Learning Systems?

ScholarIQmost cited works

Applications of Deep Learning and Reinforcement Learning to Biological Data

Mufti Mahmud, M. Shamim Kaiser, Amir Hussain, Stefano Vassanelli

IEEE Transactions on Neural Networks and Learning Systems. 2018873 CitationsOPEN ACCESS

Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints

Yan‐Jun Liu, Jing Li, Shaocheng Tong, C. L. Philip Chen

IEEE Transactions on Neural Networks and Learning Systems. 2016513 Citations

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis

IEEE Transactions on Neural Networks and Learning Systems. 2021462 CitationsOPEN ACCESS

Generative Adversarial Networks-Based Data Augmentation for Brain–Computer Interface

Fatemeh Fahimi, Strahinja Došen, Kai Keng Ang, Natalie Mrachacz‐Kersting, Cuntai Guan

IEEE Transactions on Neural Networks and Learning Systems. 2020224 CitationsOPEN ACCESS

Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction

Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi

IEEE Transactions on Neural Networks and Learning Systems. 2021203 Citations

Related on ScholarIQ

Applications of Deep Learning and Reinforcement Learning to Biological Data

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Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints

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Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

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Generative Adversarial Networks-Based Data Augmentation for Brain–Computer Interface

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Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction

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Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning

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