Zhongke Gao

7.5k citations
212 papers · 5.9k indexed · 1 hit paper · h-index 45
Topics
EEG and Brain-Computer Interfaces (59 papers)Complex Systems and Time Series Analysis (53 papers)Time Series Analysis and Forecasting (35 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports

In The Last Decade

Zhongke Gao

195 papers receiving 5.8k citations

Hit Papers

EEG-Based Spatio–Temporal Convolutional Neural Network fo...20192026202120232019100200300

Peers

Zhongke Gao
Comparison fields: 5 of 157
  • Cognitive Neuroscience 1.9k
  • Economics and Econometrics 1.2k
  • Biomedical Engineering 1.1k
  • Statistical and Nonlinear Physics 1.1k
  • Experimental and Cognitive Psychology 896
Replace Lipo Wang with:
Lipo Wang Singapore
Justin Dauwels Singapore
Chai Quek Singapore
Badong Chen China
Fred Cummins Ireland
Deniz Erdoğmuş United States
Michael T. Rosenstein United States
Felix A. Gers Switzerland
Sridha Sridharan Australia
Frank Hutter Germany
Zhongke Gao relative to Lipo Wang Singapore Lipo Wang's profile →
Citations per field
00.5×9.8×
Lipo Wang · 1×
Citations per year

Countries citing papers authored by Zhongke Gao

Since Specialization
Citations

This map shows the geographic impact of Zhongke Gao'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 Zhongke Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongke Gao more than expected).

Fields of papers citing papers by Zhongke Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhongke Gao. 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 Zhongke Gao. The network helps show where Zhongke Gao may publish in the future.

Co-authorship network of co-authors of Zhongke Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongke Gao. A scholar is included among the top collaborators of Zhongke Gao 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 Zhongke Gao. Zhongke Gao 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
#WorkIndexed citations
1 1
2 2
3 0
4 0
5 0
6 2
7 4
8 3
9 4
10 1
11 7
12 1
13 1
14 11
15 12
16 43
17 11
18 14
19 129
20 28

About Zhongke Gao

Zhongke Gao is a scholar working on Signal Processing, Cognitive Neuroscience and Statistical and Nonlinear Physics, having authored 212 papers that have together received 5.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (59 papers), Complex Systems and Time Series Analysis (53 papers) and Time Series Analysis and Forecasting (35 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Statistical and Nonlinear Physics (1.1k citations) and Signal Processing (816 citations). Zhongke Gao has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Ningde Jin, Yuxuan Yang, Weidong Dang, Qing Cai, Jürgen Kurths, Lusheng Zhai, Xinmin Wang, Chaoxu Mu, Na Dong and Chao Ma. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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