World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
8577
World Ranking
5417
National Ranking
726

Overview

Jing Jin is affiliated with East China University of Science and Technology in China. Their research primarily spans the fields of neuroscience and computer science, with a focus on various subfields including cognitive neuroscience, cellular and molecular neuroscience, electrical and electronic engineering, signal processing, and human-computer interaction.

Their work extensively covers topics related to EEG and brain-computer interfaces, neuroscience and neural engineering, advanced memory and neural computing, blind source separation techniques, gaze tracking and assistive technology, neural dynamics and brain function, as well as metal-organic frameworks synthesis and applications.

Jing Jin has published multiple papers in notable venues, with recent contributions including:

  • "Internal Feature Selection Method of CSP Based on L1-Norm and Dempster-Shafer Theory", 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "Robust Similarity Measurement Based on a Novel Time Filter for SSVEPs Detection", 2021, IEEE Transactions on Neural Networks and Learning Systems
  • "Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing", 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering

Frequent co-authors collaborating with Jing Jin include Andrzej Cichocki, Ren Xu, Ian Daly, Shurui Li, and Xingyu Wang. These collaborations suggest active engagement within interdisciplinary teams advancing neural systems research.

Publications by Jing Jin often appear in journals such as the Journal of Neural Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal of Neuroscience Methods, Cognitive Neurodynamics, and SSRN Electronic Journal, indicating a consistent presence in key neuroscience and engineering outlets.

The research addresses complex challenges in brain-computer interfacing and neural signal processing through methodological advancements and applications relevant to both clinical and technological domains.

Best Publications

  • Frequency recognition in SSVEP-based BCI using multiset canonical correlation analysis.

    Yu Zhang;Guoxu Zhou;Jing Jin;Xingyu Wang

  • Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI

    Yu Zhang;Chang S. Nam;Guoxu Zhou;Jing Jin

  • Correlation-based channel selection and regularized feature optimization for MI-based BCI

    Jing Jin;Yangyang Miao;Ian Daly;Cili Zuo

  • L1-Regularized Multiway Canonical Correlation Analysis for SSVEP-Based BCI

    Yu Zhang;Guoxu Zhou;Jing Jin;Minjue Wang

  • Sparse Bayesian Classification of EEG for Brain–Computer Interface

    Yu Zhang;Guoxu Zhou;Jing Jin;Qibin Zhao

  • Optimizing spatial patterns with sparse filter bands for motor-imagery based brain–computer interface

    Yu Zhang;Guoxu Zhou;Jing Jin;Xingyu Wang

  • Multi-kernel extreme learning machine for EEG classification in brain-computer interfaces

    Yu Zhang;Yu Wang;Guoxu Zhou;Jing Jin

  • Internal Feature Selection Method of CSP Based on L1-Norm and Dempster–Shafer Theory

    Jing Jin;Ruocheng Xiao;Ian Daly;Yangyang Miao

  • Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.

    Yu Zhang;Yu Wang;Jing Jin;Xingyu Wang

  • Sparse Group Representation Model for Motor Imagery EEG Classification

    Yong Jiao;Yu Zhang;Xun Chen;Erwei Yin

  • An adaptive P300-based control system.

    Jing Jin;Brendan Zachary Allison;Eric Sellers;Clemens Brunner

  • Multiway canonical correlation analysis for frequency components recognition in SSVEP-Based BCIs

    Yu Zhang;Guoxu Zhou;Qibin Zhao;Akinari Onishi

  • A novel BCI based on ERP components sensitive to configural processing of human faces

    Yu Zhang;Qibin Zhao;Jing Jin;Xingyu Wang

  • Improved SFFS method for channel selection in motor imagery based BCI

    Zhaoyang Qiu;Jing Jin;Hak-Keung Lam;Yu Zhang

  • A P300 brain-computer interface based on a modification of the mismatch negativity paradigm.

    Jing Jin;Eric W Sellers;Sijie Zhou;Yu Zhang

  • A new hybrid BCI paradigm based on P300 and SSVEP.

    Minjue Wang;Ian Daly;Brendan Z. Allison;Jing Jin

  • Spatial-Temporal Discriminant Analysis for ERP-Based Brain-Computer Interface

    Yu Zhang;Guoxu Zhou;Qibin Zhao;Jing Jin

  • The changing face of P300 BCIs: a comparison of stimulus changes in a P300 BCI involving faces, emotion, and movement.

    Jing Jin;Brendan Z. Allison;Brendan Z. Allison;Tobias Kaufmann;Andrea Kübler

  • Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-Based BCI

    Haiqiang Wang;Yu Zhang;Nicholas R. Waytowich;Dean J. Krusienski

  • Towards correlation-based time window selection method for motor imagery BCIs.

    Jiankui Feng;Erwei Yin;Jing Jin;Rami Saab

Frequent Co-Authors

Xingyu Wang
Xingyu Wang East China University of Science and Technology
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Ian Daly
Ian Daly University of Essex
Brendan Z. Allison
Brendan Z. Allison University of California, San Diego
Guoxu Zhou
Guoxu Zhou Guangdong University of Technology
Clemens Brunner
Clemens Brunner University of Graz
Dewen Hu
Dewen Hu National University of Defense Technology
Christa Neuper
Christa Neuper University of Graz
Eric W. Sellers
Eric W. Sellers East Tennessee State University

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