Suxian Cai

474 citations
14 papers · 340 indexed · h-index 10
Topics
Muscle activation and electromyography studies (6 papers)Ultrasonics and Acoustic Wave Propagation (4 papers)Neural Networks and Applications (2 papers)
Partner nations
ChinaCanadaHong Kong

In The Last Decade

Suxian Cai

13 papers receiving 328 citations

Peers

Suxian Cai
Comparison fields: 5 of 65
  • Biomedical Engineering 171
  • Rheumatology 83
  • Control and Systems Engineering 58
  • Radiology, Nuclear Medicine and Imaging 52
  • Signal Processing 43
Replace Srikanth Suryanarayanan with:
Srikanth Suryanarayanan United States
Walther H. W. Schulze Germany
Margarita Kotti Greece
Tati L. R. Mengko Indonesia
Luca Di Bartolomeo Japan
Jérôme Schmid Switzerland
Ejay Nsugbe United Kingdom
Anita Agrawal India
Joseph Antony Australia
Paweł Badura Poland
Suxian Cai relative to Srikanth Suryanarayanan United States Srikanth Suryanarayanan's profile →
Citations per field
00.5×5.5×
Srikanth Suryanarayanan · 1×
Citations per year

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).

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.

Co-authorship network of co-authors of Suxian Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Suxian Cai. A scholar is included among the top collaborators of Suxian Cai 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 Suxian Cai. Suxian Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 45
2 35
3 22
4 10
5 38
6 9
7 39
8 2
9 36
10
Adaptive noise removal of knee joint vibration signals using a signal power error minimization method
5
11 0
12 31
13 2
14 66

About Suxian Cai

Suxian Cai is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering and Mechanics of Materials, having authored 14 papers that have together received 340 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (6 papers), Ultrasonics and Acoustic Wave Propagation (4 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Rheumatology (83 citations), Signal Processing (43 citations) and Biomedical Engineering (171 citations). Suxian Cai has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Yunfeng Wu, Fang Zheng, Shanshan Yang, Rangaraj M. Rangayyan, Faraz Oloumi, Meihong Wu, Lu Meng, Ning Xiang, Sridhar Krishnan and Xin Luo. Their work appears in journals such as PLoS ONE, Biomedical Signal Processing and Control and Physiological Measurement.

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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