Peng Fang

174 papers and 2.8k indexed citations i.

About

Peng Fang is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peng Fang has authored 174 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Biomedical Engineering, 52 papers in Cognitive Neuroscience and 41 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peng Fang’s work include Muscle activation and electromyography studies (43 papers), EEG and Brain-Computer Interfaces (42 papers) and Neuroscience and Neural Engineering (40 papers). Peng Fang is often cited by papers focused on Muscle activation and electromyography studies (43 papers), EEG and Brain-Computer Interfaces (42 papers) and Neuroscience and Neural Engineering (40 papers). Peng Fang collaborates with scholars based in China, United States and Germany. Peng Fang's co-authors include Guanglin Li, Oluwarotimi Williams Samuel, Bryan D. Vogt, Xiangxin Li, Arun Kumar Sangaiah, Yunhai Wu, Yiang Fan, Ming Zhu, Reimund Gerhard and Werner Wirges and has published in prestigious journals such as ACS Nano, Applied Physics Letters and Langmuir.

In The Last Decade

Co-authorship network of co-authors of Peng Fang i

Fields of papers citing papers by Peng Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peng Fang

Since Specialization
Citations

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

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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2025