Chenyu Tang

62 total papers · 435 total citations
24 papers, 181 citations indexed

About

Chenyu Tang is a scholar working on Biomedical Engineering, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Chenyu Tang has authored 24 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 8 papers in Human-Computer Interaction and 7 papers in Cognitive Neuroscience. Recurrent topics in Chenyu Tang's work include Advanced Sensor and Energy Harvesting Materials (9 papers), Muscle activation and electromyography studies (5 papers) and EEG and Brain-Computer Interfaces (3 papers). Chenyu Tang is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (9 papers), Muscle activation and electromyography studies (5 papers) and EEG and Brain-Computer Interfaces (3 papers). Chenyu Tang collaborates with scholars based in United Kingdom, China and Hong Kong. Chenyu Tang's co-authors include Shuo Gao, Luigi G. Occhipinti, Muzi Xu, Arokia Nathan, Yanning Dai, G.S. Virk, Hubin Zhao, Ravinder Dahiya, Jong Min Kim and Shurui Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Chenyu Tang

16 papers receiving 179 citations

Author Peers

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

Author Last Decade Papers Cites
Chenyu Tang 86 41 36 25 18 24 181
Zihan Jiang 43 0.5× 32 0.8× 15 0.4× 16 0.6× 18 1.0× 38 227
Jiajun Li 31 0.4× 47 1.1× 41 1.1× 17 0.7× 20 1.1× 35 246
Zeyu Wang 93 1.1× 50 1.2× 40 1.1× 7 0.3× 10 0.6× 23 259
Feng Shu 78 0.9× 30 0.7× 87 2.4× 13 0.5× 34 1.9× 33 263
Shengxin Jia 122 1.4× 24 0.6× 48 1.3× 9 0.4× 31 1.7× 11 228
Yunkyung Kim 90 1.0× 88 2.1× 36 1.0× 34 1.4× 22 1.2× 21 281
Guokun Zuo 129 1.5× 38 0.9× 57 1.6× 9 0.4× 22 1.2× 46 264
Hogun Park 52 0.6× 17 0.4× 25 0.7× 26 1.0× 11 0.6× 30 202
Yunlong Zhao 185 2.2× 97 2.4× 68 1.9× 14 0.6× 17 0.9× 15 257
Yijing Xu 175 2.0× 58 1.4× 98 2.7× 26 1.0× 29 1.6× 15 260

Countries citing papers authored by Chenyu Tang

Since Specialization
Citations

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

Fields of papers citing papers by Chenyu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenyu Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Chenyu Tang. A scholar is included among the top collaborators of Chenyu Tang 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 Chenyu Tang. Chenyu Tang 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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