Te‐Jen Su

2.0k citations
147 papers · 1.4k indexed · h-index 19

Impact in

Papers in

Te‐Jen Su

137 papers receiving 1.3k citations

Peers

Te‐Jen Su
Comparison fields: 5 of 117
  • Control and Systems Engineering 700
  • Computer Networks and Communications 494
  • Radiation 129
  • Otorhinolaryngology 55
  • Computational Theory and Mathematics 178
Replace Keng Yeow Tay with:
Keng Yeow Tay Canada
Yangming Li China
Bin Hu China
Hai‐Peng Ren China
Reza Ghaderi Iran
H. Rehbinder Sweden
Shanlin Sun China
William Plishker United States
Hui Zhao China
H. Elmqvist Sweden
Te‐Jen Su relative to Keng Yeow Tay Canada Keng Yeow Tay's profile →
Citations per field
00.5×8.1×
Keng Yeow Tay · 1×
Citations per year

Countries citing papers authored by Te‐Jen Su

Since Specialization
Citations

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

Fields of papers citing papers by Te‐Jen Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Te‐Jen Su, 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‐Jen Su Line = papers co-authored together Te‐Jen Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20240
4 20240
5 20243
6 20235
7 20239
8 20232
9 20211
10 202015
11 202028
12 20181
13
Using the technology acceptance model to understand behavioral intentions in the use of a human computer interface (hci) system
20171
14 20164
15 20161
16 201514
17 201155
18 201014
19 20062
20 20014

About Te‐Jen Su

Te‐Jen Su is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Signal Processing, Artificial Intelligence and General Engineering, having authored 147 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (36 papers), Stability and Control of Uncertain Systems (34 papers), Neural Networks and Applications (15 papers), Adaptive Control of Nonlinear Systems (11 papers), Control Systems and Identification (11 papers), Advanced Control Systems Design (10 papers), Blind Source Separation Techniques (9 papers) and Image and Signal Denoising Methods (9 papers). The work is most often cited by research in Control and Systems Engineering (700 citations), Computer Networks and Communications (494 citations), Radiation (129 citations), Otorhinolaryngology (55 citations) and Computational Theory and Mathematics (178 citations). Te‐Jen Su has collaborated with scholars based in Taiwan, United States and Yemen. Frequent co-authors include Chengdai Huang, Chien-Yu Lu, Pin‐Lin Liu, Jason Sheng-Hong Tsai, Wen‐Jye Shyr, Fu‐Min Fang, Pei‐Ju Chao, Gwo-Jia Jong, J.S.H. Tsai and Tsair-Fwu Lee. Their work appears in journals such as International Journal of Systems Science, Applied Sciences, IEEE Transactions on Automatic Control, Microsystem Technologies and IEEE Access.

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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