Suxian Cai

18 total papers · 474 total citations
14 papers, 337 citations indexed

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 14 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 4 papers in Mechanics of Materials and 3 papers in Artificial Intelligence. Recurrent topics in Suxian Cai's work include Muscle activation and electromyography studies (6 papers), Ultrasonics and Acoustic Wave Propagation (4 papers) and Advanced Electrical Measurement Techniques (2 papers). Suxian Cai is often cited by papers focused on Muscle activation and electromyography studies (6 papers), Ultrasonics and Acoustic Wave Propagation (4 papers) and Advanced Electrical Measurement Techniques (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, Lu Meng, Ning Xiang, Sridhar Krishnan and Xin Luo and has published in prestigious journals such as PLoS ONE, Biomedical Signal Processing and Control and Physiological Measurement.

In The Last Decade

Suxian Cai

13 papers receiving 325 citations

Author Peers

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

Author						Papers	Cites
Suxian Cai	169	83	58	52	43	14	337
Srikanth Suryanarayanan	170 1.0×	18 0.2×	12 0.2×	11 0.2×	14 0.3×	16	300
Dimitrios-Sokratis Komaris	162 1.0×	21 0.3×	33 0.6×	23 0.4×	8 0.2×	23	388
Justus Schock	86 0.5×	49 0.6×	6 0.1×	98 1.9×	17 0.4×	28	363
Walther H. W. Schulze	89 0.5×	30 0.4×	11 0.2×	71 1.4×	12 0.3×	36	399
Hyeon Ki Jeong	150 0.9×	58 0.7×	3 0.1×	36 0.7×	7 0.2×	21	320
C. Créma	48 0.3×	51 0.6×	4 0.1×	18 0.3×	29 0.7×	13	343
Abrar Almjally	32 0.2×	6 0.1×	9 0.2×	75 1.4×	15 0.3×	19	392
Beat Ott	63 0.4×	22 0.3×	3 0.1×	86 1.7×	25 0.6×	23	379
Paweł Badura	89 0.5×	9 0.1×	2 0.0×	107 2.1×	22 0.5×	34	346
Mohamed A. El-Brawany	103 0.6×		88 1.5×	70 1.3×	28 0.7×	21	368

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

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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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