Te‐Yu Chen

16 papers receiving 406 citations

Peers

Te‐Yu Chen
Comparison fields: 5 of 70
  • Process Chemistry and Technology 24
  • Inorganic Chemistry 109
  • Organic Chemistry 166
  • Control and Systems Engineering 107
  • Computer Networks and Communications 82
Replace Jianming Huang with:
Jianming Huang China
Hajime Shimada Japan
R. Ganesan India
Lothar Braun Germany
P. Balamurugan India
Mengyuan Chen China
Xiaoyan Cheng China
Venkata Krishnan 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-authorship network

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

16 of 16 papers shown
#Work
1 20231
2 202210
3 20225
4 201632
5 20141
6 201371
7 201359
8 201294
9
Adaptive Fuzzy Total Sliding-Mode Control of Unknown Nonlinear Systems
201216
10
Generalization of Multiple Key Agreement Protocol Based on Bilinear Pairings
20101
11 20107
12 20101
13 200980
14 20081
15 200735
16 20053

About Te‐Yu Chen

Te‐Yu Chen is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics, Inorganic Chemistry, Organic Chemistry and Computer Networks and Communications, having authored 16 papers that have together received 417 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (5 papers), Catalytic C–H Functionalization Methods (3 papers), Iterative Learning Control Systems (3 papers), Advanced Authentication Protocols Security (2 papers), Synthetic Organic Chemistry Methods (2 papers), Neural Networks and Applications (2 papers), Asymmetric Hydrogenation and Catalysis (2 papers) and Piezoelectric Actuators and Control (2 papers). The work is most often cited by research in Process Chemistry and Technology (24 citations), Inorganic Chemistry (109 citations), Organic Chemistry (166 citations), Control and Systems Engineering (107 citations) and Computer Networks and Communications (82 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, Jennifer E. Klomp, Joyce C. Leung, Cheng‐Chi Lee, Nancy E. Lewin, Peter M. Blumberg, Chun‐Fei Hsu and И. С. Волчков. Their work appears in journals such as Journal of the American Chemical Society, Frontiers in Public Health, Organic Letters, IEEE Transactions on Magnetics and The Journal of the Acoustical Society of America.

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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