Guohong Chai

35 total papers · 970 total citations
31 papers, 718 citations indexed

About

Guohong Chai is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Guohong Chai has authored 31 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 19 papers in Biomedical Engineering and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Guohong Chai's work include EEG and Brain-Computer Interfaces (21 papers), Muscle activation and electromyography studies (19 papers) and Neuroscience and Neural Engineering (18 papers). Guohong Chai is often cited by papers focused on EEG and Brain-Computer Interfaces (21 papers), Muscle activation and electromyography studies (19 papers) and Neuroscience and Neural Engineering (18 papers). Guohong Chai collaborates with scholars based in China, United Kingdom and Belgium. Guohong Chai's co-authors include Xiangyang Zhu, Xinjun Sheng, Ning Lan, Guoying Gu, Ningbin Zhang, Xuanhe Zhao, Lisen Ge, Shaoting Lin, Xiaohong Sui and Haipeng Xu and has published in prestigious journals such as NeuroImage, IEEE Transactions on Industrial Electronics and Frontiers in Neuroscience.

In The Last Decade

Guohong Chai

26 papers receiving 705 citations

Hit Papers

A soft neuroprosthetic ha... 2021 2026 2022 2024 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Guohong Chai 565 447 267 74 69 31 718
Yang Yu 582 1.0× 335 0.7× 160 0.6× 69 0.9× 74 1.1× 40 775
Matthew S. Johannes 409 0.7× 447 1.0× 369 1.4× 60 0.8× 79 1.1× 29 896
Rahul R. Kaliki 748 1.3× 576 1.3× 426 1.6× 30 0.4× 38 0.6× 32 891
Todd R. Farrell 646 1.1× 398 0.9× 362 1.4× 54 0.7× 46 0.7× 29 816
Oliver Tonet 368 0.7× 163 0.4× 133 0.5× 45 0.6× 56 0.8× 30 619
Changcheng Wu 250 0.4× 336 0.8× 189 0.7× 43 0.6× 53 0.8× 67 792
Huxin Gao 515 0.9× 151 0.3× 103 0.4× 57 0.8× 30 0.4× 25 680
Domenico Camboni 492 0.9× 296 0.7× 214 0.8× 273 3.7× 22 0.3× 21 847
Zachary C. Thumser 445 0.8× 426 1.0× 321 1.2× 17 0.2× 19 0.3× 21 671
Jacob A. George 504 0.9× 366 0.8× 347 1.3× 20 0.3× 25 0.4× 31 638

Countries citing papers authored by Guohong Chai

Since Specialization
Citations

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

Fields of papers citing papers by Guohong Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohong Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Guohong Chai. A scholar is included among the top collaborators of Guohong Chai 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 Guohong Chai. Guohong Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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