Chee Leong Teo

41 total papers · 1.3k total citations
36 papers, 908 citations indexed

About

Chee Leong Teo is a scholar working on Human-Computer Interaction, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Chee Leong Teo has authored 36 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Human-Computer Interaction, 13 papers in Biomedical Engineering and 11 papers in Cognitive Neuroscience. Recurrent topics in Chee Leong Teo's work include Gaze Tracking and Assistive Technology (14 papers), Stroke Rehabilitation and Recovery (8 papers) and Muscle activation and electromyography studies (8 papers). Chee Leong Teo is often cited by papers focused on Gaze Tracking and Assistive Technology (14 papers), Stroke Rehabilitation and Recovery (8 papers) and Muscle activation and electromyography studies (8 papers). Chee Leong Teo collaborates with scholars based in Singapore, United Kingdom and Canada. Chee Leong Teo's co-authors include Etienne Burdet, Brice Rebsamen, Roger Gassert, Cuntai Guan, Marcelo H. Ang, Christian Laugier, Qiang Zeng, Ludovic Dovat, Olivier Lambercy and Theodore E. Milner and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Robotics and Sensors and Actuators A Physical.

In The Last Decade

Chee Leong Teo

36 papers receiving 860 citations

Author Peers

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

Author						Papers	Cites
Chee Leong Teo	456	330	278	248	200	36	908
Claudio Loconsole	420 0.9×	167 0.5×	522 1.9×	306 1.2×	142 0.7×	45	1000
Michele Barsotti	539 1.2×	186 0.6×	545 2.0×	351 1.4×	198 1.0×	28	939
Zhiyuan Lu	278 0.6×	213 0.6×	463 1.7×	155 0.6×	90 0.5×	40	727
Zhen Gang Xiao	464 1.0×	198 0.6×	869 3.1×	217 0.9×	225 1.1×	32	1.0k
Shuai Cao	336 0.7×	148 0.4×	551 2.0×	110 0.4×	108 0.5×	48	983
Antônio Padilha Lanari Bó	148 0.3×	84 0.3×	543 2.0×	206 0.8×	184 0.9×	71	946
Alcimar Barbosa Soares	246 0.5×	83 0.3×	422 1.5×	98 0.4×	170 0.8×	66	724
Kim Adams	595 1.3×	137 0.4×	141 0.5×	120 0.5×	322 1.6×	73	1.0k
Francisco J. Badesa	217 0.5×	88 0.3×	404 1.5×	388 1.6×	47 0.2×	46	705
Jer-Junn Luh	314 0.7×	71 0.2×	579 2.1×	210 0.8×	150 0.8×	61	881

Countries citing papers authored by Chee Leong Teo

Since Specialization

Citations

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

Fields of papers citing papers by Chee Leong Teo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Leong Teo. 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 Chee Leong Teo. The network helps show where Chee Leong Teo may publish in the future.

Co-authorship network of co-authors of Chee Leong Teo

This figure shows the co-authorship network connecting the top 25 collaborators of Chee Leong Teo. A scholar is included among the top collaborators of Chee Leong Teo 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 Chee Leong Teo. Chee Leong Teo 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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