S. M. Yang

1.7k citations
90 papers · 1.4k indexed · h-index 22

Impact in

Papers in

S. M. Yang

85 papers receiving 1.3k citations

Peers

S. M. Yang
Comparison fields: 5 of 97
  • Civil and Structural Engineering 463
  • Aerospace Engineering 365
  • Media Technology 123
  • Computer Vision and Pattern Recognition 247
  • Control and Systems Engineering 232
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Citations per field
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Citations per year

Countries citing papers authored by S. M. Yang

Since Specialization
Citations

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

Fields of papers citing papers by S. M. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. M. Yang. 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 S. M. Yang. The network helps show where S. M. Yang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside S. M. Yang, 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 S. M. Yang Line = papers co-authored together S. M. Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20231
4 20215
5 202018
6 20144
7 20141
8 20140
9 20129
10
A self-organized neuro-fuzzy system for stock market dynamics modeling and forecasting
20106
11 201024
12 200919
13
A neuro-fuzzy system and its application to vibration suppression
20095
14 200943
15
System Identification of Secondary Path Dynamics in Active Noise Control by Adaptive Filter
20041
16 20014
17 19975
18
Optimal output feedback control of slewing structures with spillover stabilization
19942
19 19939
20 19924

About S. M. Yang

S. M. Yang is a scholar working on Civil and Structural Engineering, Control and Systems Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (18 papers), Aeroelasticity and Vibration Control (15 papers), Advanced Thermoelectric Materials and Devices (15 papers), Thermal properties of materials (13 papers), Composite Structure Analysis and Optimization (11 papers), Vibration and Dynamic Analysis (10 papers), Dynamics and Control of Mechanical Systems (9 papers) and Innovative Energy Harvesting Technologies (9 papers). The work is most often cited by research in Civil and Structural Engineering (463 citations), Aerospace Engineering (365 citations), Media Technology (123 citations), Computer Vision and Pattern Recognition (247 citations) and Control and Systems Engineering (232 citations). S. M. Yang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shen‐Chuan Tai, Ming Cong, C. Chang, Chien‐Chun Hung, Vinay A. Vaishampayan, Jie Bian, C. D. Mote, Yun‐Yuan Chang, Ya‐Ju Lee and M.‐H. Tsai. Their work appears in journals such as Sensors and Actuators A Physical, Smart Materials and Structures, IEEE Sensors Journal, Journal of Dynamic Systems Measurement and Control and Sensors and Actuators B Chemical.

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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