Qing Cai

1.7k citations
41 papers · 1.3k indexed · 1 hit paper · h-index 17
Topics
EEG and Brain-Computer Interfaces (14 papers)Neural dynamics and brain function (8 papers)Time Series Analysis and Forecasting (6 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsPLoS Computational Biology

In The Last Decade

Qing Cai

39 papers receiving 1.3k citations

Hit Papers

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

Peers

Qing Cai
Comparison fields: 5 of 135
  • Cognitive Neuroscience 641
  • Experimental and Cognitive Psychology 348
  • Cardiology and Cardiovascular Medicine 207
  • Economics and Econometrics 180
  • Statistical and Nonlinear Physics 175
Replace Weidong Dang with:
Weidong Dang China
Yuxuan Yang China
Mosabber Uddin Ahmed Bangladesh
Xin Zhao China
Bilal Fadlallah United States
Rajeev Sharma India
Yong Peng China
J.M. Pastor Spain
Qing Cai relative to Weidong Dang China Weidong Dang's profile →
Citations per field
00.5×
Weidong Dang · 1×
Citations per year

Countries citing papers authored by Qing Cai

Since Specialization
Citations

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

Fields of papers citing papers by Qing Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Cai. A scholar is included among the top collaborators of Qing Cai 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 Qing Cai. Qing Cai 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 0
3 6
4 0
5 4
6 14
7 17
8 9
9 56
10 30
11 81
12
EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluationbreakdown →
369
13 48
14 6
15 151
16 5
17 6
18 1
19 1
20 13

About Qing Cai

Qing Cai is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (8 papers) and Time Series Analysis and Forecasting (6 papers). The work is most often cited by research in Cognitive Neuroscience (641 citations), Experimental and Cognitive Psychology (348 citations) and Human-Computer Interaction (86 citations). Qing Cai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhongke Gao, Yuxuan Yang, Weidong Dang, Chaoxu Mu, Xinmin Wang, Siyang Zuo, Na Dong, Celso Grebogi, Jürgen Kurths and Norbert Marwan. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and PLoS Computational Biology.

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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