The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Xiaorong Gao sits on this spectrum.
This scientist: 213 publications — 51st percentile
51% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Xiaorong Gao sits on this spectrum.
This scientist: 56 D-Index — 72nd percentile
72% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Xiaorong Gao is affiliated with Tsinghua University in China and has contributed extensively to the field of neuroscience, with a primary focus on brain-computer interfaces (BCIs) and neural engineering. Their research spans several interconnected disciplines including cognitive neuroscience, cellular and molecular neuroscience, electrical and electronic engineering, human-computer interaction, and signal processing.
The scientist's key topics of work include EEG and brain-computer interfaces, neuroscience and neural engineering, neural dynamics and brain function, advanced memory and neural computing, gaze tracking and assistive technology, functional brain connectivity studies, and blind source separation techniques.
Recent scholarly articles authored or co-authored by Xiaorong Gao feature prominently in leading journals and conferences, indicating active engagement with ongoing developments in the field. Notable publications include:
Xiaorong Gao frequently collaborates with several researchers, reflecting a networked research approach. Prominent co-authors include Yijun Wang, Xiaogang Chen, Weihua Pei, Bingchuan Liu, and Nanlin Shi.
The scientist has published widely in respected venues such as the Journal of Neural Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, SSRN Electronic Journal, arXiv, and Frontiers in Neuroscience. The distribution of publications across these journals reflects a strong interdisciplinary method combining engineering, neuroscience, and computer science perspectives.
Zhonglin Lin;Changshui Zhang;Wei Wu;Xiaorong Gao
Ming Cheng;Xiaorong Gao;Shangkai Gao;Dingfeng Xu
Xiaogang Chen;Yijun Wang;Yijun Wang;Masaki Nakanishi;Xiaorong Gao
Guangyu Bin;Xiaorong Gao;Zheng Yan;Bo Hong
Xiaorong Gao;Dingfeng Xu;Ming Cheng;Shangkai Gao
Masaki Nakanishi;Yijun Wang;Xiaogang Chen;Yu-Te Wang
Yijun Wang;Ruiping Wang;Xiaorong Gao;Bo Hong
Xiaogang Chen;Yijun Wang;Yijun Wang;Shangkai Gao;Tzyy-Ping Jung
Yijun Wang;Xiaorong Gao;Bo Hong;Chuan Jia
Yijun Wang;Shangkai Gao;Xiaorong Gao
Shangkai Gao;Yijun Wang;Xiaorong Gao;Bo Hong
Yijun Wang;Xiaogang Chen;Xiaorong Gao;Shangkai Gao
Guangyu Bin;Xiaorong Gao;Yijun Wang;Yun Li
Neng Xu;Xiaorong Gao;Bo Hong;Xiaobo Miao
Xiaohui Hao;Shangkai Gao;Xiaorong Gao
Guangyu Bin;Xiaorong Gao;Yijun Wang;Bo Hong
Xiaogang Chen;Zhikai Chen;Shangkai Gao;Xiaorong Gao
Bo Hong;Fei Guo;Tao Liu;Xiaorong Gao
Chuan Jia;Xiaorong Gao;Bo Hong;Shangkai Gao
Xiaorong Gao;Yijun Wang;Xiaogang Chen;Shangkai Gao
Guangyu Bin;Xiaorong Gao;Yijun Wang;Bo Hong
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