Cheng Yap Shee

59 total papers · 881 total citations
52 papers, 695 citations indexed

About

Cheng Yap Shee is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Cheng Yap Shee has authored 52 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Biomedical Engineering, 17 papers in Cellular and Molecular Neuroscience and 17 papers in Control and Systems Engineering. Recurrent topics in Cheng Yap Shee's work include Neuroscience and Neural Engineering (17 papers), Piezoelectric Actuators and Control (17 papers) and Neurological disorders and treatments (13 papers). Cheng Yap Shee is often cited by papers focused on Neuroscience and Neural Engineering (17 papers), Piezoelectric Actuators and Control (17 papers) and Neurological disorders and treatments (13 papers). Cheng Yap Shee collaborates with scholars based in Singapore, France and United States. Cheng Yap Shee's co-authors include Wei Tech Ang, U-Xuan Tan, Win Tun Latt, Cameron N. Riviere, Kalyana C. Veluvolu, Ferdinan Widjaja, Philippe Poignet, Yan Liang Zhang, W.T. Ang and Wing Lok Au and has published in prestigious journals such as Toxicology and Applied Pharmacology, Sensors and Actuators A Physical and IEEE Sensors Journal.

In The Last Decade

Cheng Yap Shee

51 papers receiving 668 citations

Author Peers

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

Author Last Decade Papers Cites
Cheng Yap Shee 265 246 154 133 120 52 695
Shaochen Wang 127 0.5× 153 0.6× 32 0.2× 14 0.1× 36 0.3× 48 707
Md. Kamal Hosain 153 0.6× 176 0.7× 77 0.5× 73 0.5× 5 0.0× 84 740
Ningbo Yu 108 0.4× 361 1.5× 30 0.2× 93 0.7× 10 0.1× 116 789
Atsushi Yamada 83 0.3× 247 1.0× 108 0.7× 7 0.1× 13 0.1× 81 665
Hegao Cai 255 1.0× 403 1.6× 121 0.8× 27 0.2× 12 0.1× 41 654
K. Itoigawa 101 0.4× 419 1.7× 24 0.2× 12 0.1× 152 1.3× 40 700
Zhenlei Chen 119 0.4× 191 0.8× 34 0.2× 16 0.1× 20 0.2× 72 733
Changcheng Wu 53 0.2× 250 1.0× 189 1.2× 8 0.1× 29 0.2× 67 792
Yuki Minami 189 0.7× 76 0.3× 38 0.2× 12 0.1× 11 0.1× 101 677
Jin‐Siang Shaw 260 1.0× 132 0.5× 11 0.1× 84 0.6× 10 0.1× 56 721

Countries citing papers authored by Cheng Yap Shee

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Yap Shee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng Yap Shee. 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 Cheng Yap Shee. The network helps show where Cheng Yap Shee may publish in the future.

Co-authorship network of co-authors of Cheng Yap Shee

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Yap Shee. A scholar is included among the top collaborators of Cheng Yap Shee 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 Cheng Yap Shee. Cheng Yap Shee 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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