Jing Jin

10.8k total citations · 3 hit papers
241 papers, 8.1k citations indexed

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 241 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 155 papers in Cognitive Neuroscience, 56 papers in Signal Processing and 47 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jing Jin's work include EEG and Brain-Computer Interfaces (145 papers), Blind Source Separation Techniques (52 papers) and Neuroscience and Neural Engineering (45 papers). Jing Jin is often cited by papers focused on EEG and Brain-Computer Interfaces (145 papers), Blind Source Separation Techniques (52 papers) and Neuroscience and Neural Engineering (45 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, Ahmed K. Elmagarmid and Sumi Helal and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Psychology.

In The Last Decade

Jing Jin

220 papers receiving 7.9k citations

Hit Papers

Temporally Constrained Sparse Group Spatial Patterns for ... 2018 2026 2020 2023 2018 2019 2020 50 100 150 200 250

Peers

Jing Jin
Comparison fields: 5 of 186
  • Cognitive Neuroscience 5.4k
  • Cellular and Molecular Neuroscience 2.5k
  • Signal Processing 1.6k
  • Electrical and Electronic Engineering 1.6k
  • Human-Computer Interaction 1.4k
Replace Yijun Wang with:
Yijun Wang China
Justin Dauwels Singapore
Dong Ming China
Cuntai Guan Singapore
Feng Wan China
Dezhong Yao China
T.M. McGinnity United Kingdom
Jiang Wang China
Paul Sajda United States
Bao‐Liang Lu China
Yijun Wang China View profile →
Citations per field, relative to Jing Jin
Jing Jin · 1×
Citations per year, relative to Jing Jin
Jing Jin · 1×

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).

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.

Co-authorship network of co-authors of Jing Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Jin. A scholar is included among the top collaborators of Jing Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Jin. Jing Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 2
5 0
6 1
7 2
8 4
9 27
10 90
11 114
12 7
13 11
14 6
15 39
16
Classification of Seizure EEGs Based on Short-Time Fourier Transform and Hidden Markov Model
4
17 87
18 9
19
Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI breakdown →
280
20 1

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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