The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Zhong-Ke Gao sits on this spectrum.
This scientist: 156 publications — 30th percentile
30% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 804 publications or more.
The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Zhong-Ke Gao sits on this spectrum.
This scientist: 48 D-Index — 55th percentile
55% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 107 D-Index or more.
Zhong-Ke Gao is affiliated with Tianjin University in China and has a substantial body of research primarily focused on engineering, neuroscience, and computer science. Their work navigates several subfields, including cognitive neuroscience, biomedical engineering, artificial intelligence, ocean engineering, and experimental and cognitive psychology. These areas reflect a multidisciplinary approach engaging with both theoretical and applied sciences.
Their research topics emphasize EEG and brain-computer interfaces, fluid dynamics and mixing, neural dynamics and brain function, advanced memory and neural computing, neuroscience and neural engineering, gaze tracking and assistive technology, and functional brain connectivity studies. This wide-ranging scope highlights an integration of computational methods with neurophysiological data to address complex scientific questions.
Zhong-Ke Gao contributes frequently to journals that focus on instrumentation, nonlinear science, sensors technology, biomedical informatics, and statistical mechanics. Notable venues where their publications appear include:
Collaboration is a significant aspect of Gao's research environment. Frequent coauthors include Weidong Dang, Chao Ma, Xinlin Sun, Mengyu Li, and Dongmei Lv, each contributing to multiple publications with Gao. These partnerships have helped expand the breadth and depth of their research output.
Selected recent papers authored by Zhong-Ke Gao showcase their focus on EEG signal analysis and neural network applications in brain-computer interfaces and emotion recognition:
Other recent influential publications linked to their domain of study, although credited to some coauthors, include:
Zhongke Gao;Xinmin Wang;Yuxuan Yang;Chaoxu Mu
Zhong Ke Gao;Michael Small;Jürgen Kurths;Jürgen Kurths;Jürgen Kurths
Zhongke Gao;Ningde Jin
Zhongke Gao;Ningde Jin
Zhong-Ke Gao;Peng-Cheng Fang;Mei-Shuang Ding;Ning-De Jin
Zhongke Gao;Weidong Dang;Xinmin Wang;Xiaolin Hong
Unknown
Zhong-Ke Gao;Qing Cai;Yu-Xuan Yang;Na Dong
Zhong-Ke Gao;Qing Cai;Yu-Xuan Yang;Wei-Dong Dang
Zhongke Gao;Xinmin Wang;Yuxuan Yang;Yanli Li
Zhong-Ke Gao;Ning-De Jin
Meng Du;Ning-De Jin;Zhong-Ke Gao;Zhen-Ya Wang
Zhong-Ke Gao;Yu-Xuan Yang;Peng-Cheng Fang;Ning-De Jin
Zhong-Ke Gao;Yu-Xuan Yang;Peng-Cheng Fang;Yong Zou
Xiaolin Hong;Qingqing Zheng;Luyan Liu;Peiyin Chen
Zhongke Gao;Yuxuan Yang;Lusheng Zhai;Ningde Jin
Zhong-Ke Gao;Zhong-Ke Gao;Zhong-Ke Gao;Xin-Wang Zhang;Ning-De Jin;Reik V. Donner
Zhong Ke Gao;Zhong Ke Gao;Ning De Jin;Wen Xu Wang;Ying-Cheng Lai
Yuxuan Yang;Zhongke Gao;Yanli Li;Qing Cai
Zhongke Gao;Weidong Dang;Chaoxu Mu;Yuxuan Yang
Yan-Bo Zong;Ning-De Jin;Zhen-Ya Wang;Zhong-Ke Gao
Zhong-Ke Gao;Xin-Wang Zhang;Ning-De Jin;Norbert Marwan
Xiao-Kun Meng;Cheng-Yi Xia;Zhong-Ke Gao;Li Wang
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