Muye Pang

92 total papers · 745 total citations
63 papers, 552 citations indexed

About

Muye Pang is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Rehabilitation. According to data from OpenAlex, Muye Pang has authored 63 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Biomedical Engineering, 23 papers in Cognitive Neuroscience and 19 papers in Rehabilitation. Recurrent topics in Muye Pang's work include Muscle activation and electromyography studies (46 papers), Prosthetics and Rehabilitation Robotics (22 papers) and Stroke Rehabilitation and Recovery (19 papers). Muye Pang is often cited by papers focused on Muscle activation and electromyography studies (46 papers), Prosthetics and Rehabilitation Robotics (22 papers) and Stroke Rehabilitation and Recovery (19 papers). Muye Pang collaborates with scholars based in China, Japan and United Kingdom. Muye Pang's co-authors include Shuxiang Guo, Kui Xiang, Songyuan Zhang, Hidenori Ishihara, Hideyuki Hirata, Zhibin Song, Baofeng Gao, Qiang Huang, Zhanxia Zhu and Fang Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Muye Pang

58 papers receiving 542 citations

Author Peers

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

Author Last Decade Papers Cites
Muye Pang 389 172 167 70 60 63 552
Michele Folgheraiter 357 0.9× 220 1.3× 125 0.7× 86 1.2× 72 1.2× 49 548
Qichuan Ding 379 1.0× 204 1.2× 90 0.5× 44 0.6× 39 0.7× 32 494
Chifu Yang 343 0.9× 90 0.5× 78 0.5× 113 1.6× 27 0.5× 46 611
Juan Carlos Fraile 194 0.5× 84 0.5× 113 0.7× 47 0.7× 18 0.3× 57 460
Mochammad Ariyanto 295 0.8× 120 0.7× 61 0.4× 100 1.4× 23 0.4× 88 577
Eileen Lee Ming Su 178 0.5× 83 0.5× 127 0.8× 46 0.7× 45 0.8× 85 501
Giuseppe Averta 247 0.6× 181 1.1× 61 0.4× 194 2.8× 48 0.8× 43 457
Shahrul Na’im Sidek 227 0.6× 152 0.9× 57 0.3× 142 2.0× 31 0.5× 89 494
Feiyun Xiao 342 0.9× 125 0.7× 131 0.8× 58 0.8× 15 0.3× 34 512
Toshihiro Kawase 243 0.6× 294 1.7× 53 0.3× 46 0.7× 49 0.8× 58 531

Countries citing papers authored by Muye Pang

Since Specialization
Citations

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

Fields of papers citing papers by Muye Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muye Pang

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