Shih-Yu Chu

608 citations
31 papers · 473 indexed · h-index 13
Topics
Seismic Performance and Analysis (13 papers)Structural Health Monitoring Techniques (12 papers)Vibration Control and Rheological Fluids (11 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Shih-Yu Chu

31 papers receiving 443 citations

Peers

Shih-Yu Chu
Comparison fields: 5 of 54
  • Civil and Structural Engineering 345
  • Mechanical Engineering 94
  • Control and Systems Engineering 92
  • Computer Vision and Pattern Recognition 61
  • Media Technology 43
Replace Albert Y. Ayenu-Prah with:
Albert Y. Ayenu-Prah United States
Xiang Yu China
Jiayong Yu China
Jaemook Choi South Korea
Qingwen Wu China
P. Bellutta United States
Zhanxiong Ma South Korea
Matteo Negri Italy
Niklas Grip Sweden
Shih-Yu Chu relative to Albert Y. Ayenu-Prah United States Albert Y. Ayenu-Prah's profile →
Citations per field
00.5×1.5×1.9×
Albert Y. Ayenu-Prah · 1×
Citations per year

Countries citing papers authored by Shih-Yu Chu

Since Specialization
Citations

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

Fields of papers citing papers by Shih-Yu Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Yu Chu. 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 Shih-Yu Chu. The network helps show where Shih-Yu Chu may publish in the future.

Co-authorship network of co-authors of Shih-Yu Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Yu Chu. A scholar is included among the top collaborators of Shih-Yu Chu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shih-Yu Chu. Shih-Yu Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 2
3 5
4 6
5 1
6 7
7 12
8
Field test for school building retrofitted by external steel-framing system
1
9 12
10 4
11
Application of on-line RLS on parameter identification of benchmark building structure on shaking table test
1
12 15
13 55
14 2
15
Large scale real time dynamic hybrid testing technique -shake tables substructure testing
15
16 9
17 7
18 43
19 2
20 5

About Shih-Yu Chu

Shih-Yu Chu is a scholar working on Civil and Structural Engineering, Control and Systems Engineering and Media Technology, having authored 31 papers that have together received 473 indexed citations. Recurring topics across this work include Seismic Performance and Analysis (13 papers), Structural Health Monitoring Techniques (12 papers) and Vibration Control and Rheological Fluids (11 papers). The work is most often cited by research in Civil and Structural Engineering (345 citations), Media Technology (43 citations) and Control and Systems Engineering (92 citations). Shih-Yu Chu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include T. T. Soong, A. M. Reinhorn, L. L. Chung, C. C. Lin, Fu Chang, Chien-Hsing Chou, Lyan‐Ywan Lu, Chao-Cheng Wu, Chein‐I Chang and C.-C. Lin. Their work appears in journals such as Pattern Recognition, Journal of Sound and Vibration and Engineering Structures.

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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