Suxian Cai

About

Suxian Cai is a scholar working on Biomedical Engineering, Mechanics of Materials and Artificial Intelligence. According to data from OpenAlex, Suxian Cai has authored 11 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 4 papers in Mechanics of Materials and 3 papers in Artificial Intelligence. Recurrent topics in Suxian Cai’s work include Ultrasonics and Acoustic Wave Propagation (4 papers), Muscle activation and electromyography studies (4 papers) and Neural Networks and Applications (2 papers). Suxian Cai is often cited by papers focused on Ultrasonics and Acoustic Wave Propagation (4 papers), Muscle activation and electromyography studies (4 papers) and Neural Networks and Applications (2 papers). Suxian Cai collaborates with scholars based in China, Canada and Hong Kong. Suxian Cai's co-authors include Yunfeng Wu, Fang Zheng, Shanshan Yang, Faraz Oloumi, Rangaraj M. Rangayyan, Meihong Wu, Ning Xiang, Lu Meng, Sridhar Krishnan and Xin Luo and has published in prestigious journals such as PLoS ONE, Physiological Measurement and Biomedical Signal Processing and Control.

In The Last Decade

Co-authorship network of co-authors of Suxian Cai i

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Fields of papers citing papers by Suxian Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Suxian Cai

Since Specialization

Citations

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