The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jing Jin sits on this spectrum.
This scientist: 144 publications — 24th percentile
24% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jing Jin sits on this spectrum.
This scientist: 51 D-Index — 63rd percentile
63% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
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:
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.
Yu Zhang;Guoxu Zhou;Jing Jin;Xingyu Wang
Yu Zhang;Chang S. Nam;Guoxu Zhou;Jing Jin
Jing Jin;Yangyang Miao;Ian Daly;Cili Zuo
Yu Zhang;Guoxu Zhou;Jing Jin;Minjue Wang
Yu Zhang;Guoxu Zhou;Jing Jin;Qibin Zhao
Yu Zhang;Guoxu Zhou;Jing Jin;Xingyu Wang
Yu Zhang;Yu Wang;Guoxu Zhou;Jing Jin
Jing Jin;Ruocheng Xiao;Ian Daly;Yangyang Miao
Yu Zhang;Yu Wang;Jing Jin;Xingyu Wang
Yong Jiao;Yu Zhang;Xun Chen;Erwei Yin
Jing Jin;Brendan Zachary Allison;Eric Sellers;Clemens Brunner
Yu Zhang;Guoxu Zhou;Qibin Zhao;Akinari Onishi
Yu Zhang;Qibin Zhao;Jing Jin;Xingyu Wang
Zhaoyang Qiu;Jing Jin;Hak-Keung Lam;Yu Zhang
Jing Jin;Eric W Sellers;Sijie Zhou;Yu Zhang
Minjue Wang;Ian Daly;Brendan Z. Allison;Jing Jin
Yu Zhang;Guoxu Zhou;Qibin Zhao;Jing Jin
Jing Jin;Brendan Z. Allison;Brendan Z. Allison;Tobias Kaufmann;Andrea Kübler
Haiqiang Wang;Yu Zhang;Nicholas R. Waytowich;Dean J. Krusienski
Jiankui Feng;Erwei Yin;Jing Jin;Rami Saab
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