Te‐Yu Chen

15 papers receiving 400 citations

Peers

Te‐Yu Chen
Comparison fields: 5 of 65
  • Process Chemistry and Technology 25
  • Inorganic Chemistry 115
  • Organic Chemistry 171
  • Control and Systems Engineering 111
  • Computer Networks and Communications 85
Replace Jianming Huang with:
Jianming Huang China
Tianyi Zhang China
Tatsuhiro Yamada Japan
Hajime Shimada Japan
Wenjie Hu China
R. Ganesan India
Lothar Braun Germany
Pranay Anchuri United States
Te‐Yu Chen relative to Jianming Huang China Jianming Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Te‐Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Te‐Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Te‐Yu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Te‐Yu Chen Line = papers co-authored together Te‐Yu Chen links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201295
2 200985
3 201372
4 201360
5 201636
6 200736
7 202216
8
Adaptive Fuzzy Total Sliding-Mode Control of Unknown Nonlinear Systems
201216
9 20107
10 20223
11 20232
12 20052
13 20101
14
Generalization of Multiple Key Agreement Protocol Based on Bilinear Pairings
20101
15 20081

About Te‐Yu Chen

Te‐Yu Chen is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics, Computer Networks and Communications, Inorganic Chemistry and Organic Chemistry, having authored 15 papers that have together received 433 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (5 papers), Iterative Learning Control Systems (3 papers), Neural Networks and Applications (2 papers), Advanced Authentication Protocols Security (2 papers), Asymmetric Hydrogenation and Catalysis (2 papers), Piezoelectric Actuators and Control (2 papers), Chaos control and synchronization (2 papers) and Catalytic C–H Functionalization Methods (2 papers). The work is most often cited by research in Process Chemistry and Technology (25 citations), Inorganic Chemistry (115 citations), Organic Chemistry (171 citations), Control and Systems Engineering (111 citations) and Computer Networks and Communications (85 citations). Te‐Yu Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chih‐Min Lin, Michael J. Krische, Laina M. Geary, Joyce C. Leung, Cheng‐Chi Lee, Chun‐Fei Hsu, Noémi Kedei, Ivan S. Volchkov, Nancy E. Lewin and Peter M. Blumberg. Their work appears in journals such as Frontiers in Public Health, Journal of the American Chemical Society, Organic Letters, The Journal of the Acoustical Society of America and Expert Systems with Applications.

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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