Zehong Cao

4.9k citations
118 papers · 3.4k indexed · 1 hit paper · h-index 36
Topics
EEG and Brain-Computer Interfaces (35 papers)Functional Brain Connectivity Studies (13 papers)Multi-Criteria Decision Making (12 papers)
Partner nations
AustraliaChinaTaiwan

In The Last Decade

Zehong Cao

109 papers receiving 3.3k citations

Hit Papers

EEG-based Brain-Computer Interfaces (BCIs): A Survey of R...2021202620222024202150100150200

Peers

Zehong Cao
Comparison fields: 5 of 147
  • Artificial Intelligence 1.0k
  • Cognitive Neuroscience 986
  • Management Science and Operations Research 575
  • Computational Theory and Mathematics 544
  • Computer Vision and Pattern Recognition 412
Replace Doina Precup with:
Doina Precup Canada
W. Art Chaovalitwongse United States
T.M. McGinnity United Kingdom
Zhaohong Deng China
M. Tanveer India
Sai Ho Ling Australia
Jost Tobias Springenberg Germany
N. Sundararajan Singapore
Xiaoou Li Mexico
Shiping Wen China
Zehong Cao relative to Doina Precup Canada Doina Precup's profile →
Citations per field
00.5×1.5×2.3×
Doina Precup · 1×
Citations per year

Countries citing papers authored by Zehong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Zehong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zehong Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Zehong Cao. A scholar is included among the top collaborators of Zehong Cao 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 Zehong Cao. Zehong Cao 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 0
2 1
3 2
4 9
5 28
6 19
7 9
8 38
9 24
10 5
11 11
12
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies \n on Signal Sensing Technologies and Computational Intelligence Approaches and \n their Applicationsbreakdown →
227
13 10
14 35
15 125
16 54
17
Tensor decomposition for EEG signals retrieval
1
18 12
19 22
20 21

About Zehong Cao

Zehong Cao is a scholar working on Cognitive Neuroscience, Computational Mathematics and Artificial Intelligence, having authored 118 papers that have together received 3.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (35 papers), Functional Brain Connectivity Studies (13 papers) and Multi-Criteria Decision Making (12 papers). The work is most often cited by research in Cognitive Neuroscience (986 citations), Management Science and Operations Research (575 citations) and Computational Theory and Mathematics (544 citations). Zehong Cao has collaborated with scholars based in Australia, China and Taiwan. Frequent co-authors include Chin‐Teng Lin, Weiping Ding, Fuyuan Xiao, Alireza Jolfaei, Peng Xu, Zhibin Li, Fuyuan Xiao, Shuu‐Jiun Wang, Chun‐Hsiang Chuang and Yang Huang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and NeuroImage.

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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