Te‐Jen Su

2.9k citations
153 papers · 1.5k · h-index 20

Impact in

Papers in

Te‐Jen Su

143 papers receiving 1.5k citations

Peers

Te‐Jen Su
Comparison fields: 5 of 118
  • Control and Systems Engineering 723
  • Computer Networks and Communications 515
  • Otorhinolaryngology 46
  • Computational Theory and Mathematics 190
  • Radiation 90
Replace Yangming Li with:
Yangming Li China
Keng Yeow Tay Canada
Bin Hu China
Reza Ghaderi Iran
Yiyu Shi United States
Hui Zhao China
H. Elmqvist Sweden
Shanlin Sun China
József K. Tar Hungary
C. Kambhampati United Kingdom
Te‐Jen Su relative to Yangming Li China Yangming Li's profile →
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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-authors

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

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992168
2 200882
3 200381
4 199875
5 200368
6 201155
7 201847
8 200844
9 200137
10 199435
11 202030
12 198830
13 201929
14 200329
15 200228
16 201825
17 200524
18 201023
19 201023
20
Oncogenic miR-137 contributes to cisplatin resistance via repressing CASP3 in lung adenocarcinoma.
201623

About Te‐Jen Su

Te‐Jen Su is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering, having authored 153 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (36 papers), Stability and Control of Uncertain Systems (35 papers), Neural Networks and Applications (17 papers), Control Systems and Identification (11 papers), Adaptive Control of Nonlinear Systems (11 papers), Advanced Adaptive Filtering Techniques (11 papers), Advanced Control Systems Design (10 papers) and Blind Source Separation Techniques (10 papers). The work is most often cited by research in Control and Systems Engineering (723 citations), Computer Networks and Communications (515 citations), Otorhinolaryngology (46 citations), Computational Theory and Mathematics (190 citations) and Radiation (90 citations). Te‐Jen Su has collaborated with scholars based in Taiwan, Yemen and United States. Frequent co-authors include Chengdai Huang, Chien-Yu Lu, Pin‐Lin Liu, Jason Sheng-Hong Tsai, Wen‐Jye Shyr, Pei‐Ju Chao, Fu‐Min Fang, Gwo-Jia Jong, Tsair-Fwu Lee and J.S.H. Tsai. Their work appears in journals such as International Journal of Systems Science, Applied Sciences, IEEE Transactions on Automatic Control, Microsystem Technologies and Neural Processing Letters.

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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