Jing Jin

195 papers and 7.0k indexed citations i.

About

Jing Jin is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jing Jin has authored 195 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Cognitive Neuroscience, 47 papers in Signal Processing and 41 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jing Jin’s work include EEG and Brain-Computer Interfaces (124 papers), Blind Source Separation Techniques (44 papers) and Neuroscience and Neural Engineering (39 papers). Jing Jin is often cited by papers focused on EEG and Brain-Computer Interfaces (124 papers), Blind Source Separation Techniques (44 papers) and Neuroscience and Neural Engineering (39 papers). Jing Jin collaborates with scholars based in China, Poland and United States. Jing Jin's co-authors include Andrzej Cichocki, Yu Zhang, Xingyu Wang, Guoxu Zhou, Ian Daly, Xingyu Wang, Yangyang Miao, Brendan Z. Allison, Qibin Zhao and Xingyu Wang and has published in prestigious journals such as PLoS ONE, Journal of Applied Psychology and Cell Metabolism.

In The Last Decade

Co-authorship network of co-authors of Jing Jin i

Fields of papers citing papers by Jing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jing Jin. The network helps show where Jing Jin may publish in the future.

Countries citing papers authored by Jing Jin

Since Specialization
Citations

This map shows the geographic impact of Jing Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jing Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Jin more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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