Kang Gu

11 papers and 346 indexed citations i.

About

Kang Gu is a scholar working on Biomedical Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Kang Gu has authored 11 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 4 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Kang Gu’s work include Muscle activation and electromyography studies (3 papers), Natural Language Processing Techniques (2 papers) and Time Series Analysis and Forecasting (2 papers). Kang Gu is often cited by papers focused on Muscle activation and electromyography studies (3 papers), Natural Language Processing Techniques (2 papers) and Time Series Analysis and Forecasting (2 papers). Kang Gu collaborates with scholars based in China, United States and United Kingdom. Kang Gu's co-authors include Shuangjie Xu, Shiyu Chang, Pan Zhou, Yu Cheng, Yang Yang, Xinrong Chen, Shu Shen, Ruchuan Wang, Ming Yang and Yu Cao and has published in prestigious journals such as IEEE Access, IEEE Sensors Journal and Current Microbiology.

In The Last Decade

Co-authorship network of co-authors of Kang Gu i

Fields of papers citing papers by Kang Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kang Gu

Since Specialization
Citations

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