Teng Chen

71 total papers · 474 total citations
44 papers, 269 citations indexed

About

Teng Chen is a scholar working on Biomedical Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Teng Chen has authored 44 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Biomedical Engineering, 11 papers in Control and Systems Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Teng Chen's work include Robotic Locomotion and Control (27 papers), Prosthetics and Rehabilitation Robotics (14 papers) and Robotic Path Planning Algorithms (5 papers). Teng Chen is often cited by papers focused on Robotic Locomotion and Control (27 papers), Prosthetics and Rehabilitation Robotics (14 papers) and Robotic Path Planning Algorithms (5 papers). Teng Chen collaborates with scholars based in China, Japan and Hong Kong. Teng Chen's co-authors include Yibin Li, Xuewen Rong, Guoteng Zhang, Lelai Zhou, Hui Chai, Chao Ding, Zhiyuan Dong, Jun Wang, Tong Liu and Jian Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Polymer.

In The Last Decade

Teng Chen

37 papers receiving 261 citations

Author Peers

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

Author						Papers	Cites
Teng Chen	194	77	61	42	27	44	269
John Swensen	156 0.8×	56 0.7×	80 1.3×	25 0.6×	72 2.7×	33	298
Yuki Shirai	90 0.5×	88 1.1×	56 0.9×	15 0.4×	25 0.9×	27	290
Nicu George Bîzdoacă	99 0.5×	74 1.0×	65 1.1×	31 0.7×	26 1.0×	63	321
Pruittikorn Smithmaitrie	166 0.9×	95 1.2×	109 1.8×	48 1.1×	5 0.2×	44	320
Min Wang	91 0.5×	27 0.4×	68 1.1×	42 1.0×	13 0.5×	57	272
Yang Yang	196 1.0×	88 1.1×	66 1.1×	10 0.2×	20 0.7×	31	324
Erik Prada	145 0.7×	100 1.3×	110 1.8×	22 0.5×	43 1.6×	55	280
Zhicheng Liu	94 0.5×	43 0.6×	74 1.2×	27 0.6×	34 1.3×	37	306
Jianwei Wu	56 0.3×	101 1.3×	174 2.9×	31 0.7×	18 0.7×	26	310
Jian Yue	95 0.5×	77 1.0×	54 0.9×	20 0.5×	31 1.1×	49	330

Countries citing papers authored by Teng Chen

Since Specialization

Citations

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

Fields of papers citing papers by Teng Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Teng Chen. A scholar is included among the top collaborators of Teng Chen 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 Teng Chen. Teng Chen 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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