Kuo‐Chun Chang
- Civil and Structural Engineering top 0.2%
- Seismic Performance and Analysis 52
- Structural Engineering and Vibration Analysis 29
- Structural Health Monitoring Techniques 26
- Structural Load-Bearing Analysis 15
- Vibration Control and Rheological Fluids 15
- Concrete Corrosion and Durability 13
- Structural Response to Dynamic Loads 12
- Building and Construction top 0.5%
- Structural Behavior of Reinforced Concrete 30
- Nuclear Energy and Engineering top 10%
- Co-authors
- George C. LeeYu‐Chen OuMeng‐Hao TsaiYao-Tsung LinKuang‐Yen LiuYu‐Yuan LinPing‐Hsiung WangMinjie Lai
- Journals
- SHILAP Revista de lepidopterología (2 papers)Sensors (1 paper)Composite Structures (1 paper)
- Partner nations
- TaiwanUnited StatesItaly
In The Last Decade
Kuo‐Chun Chang
105 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 81
- Civil and Structural Engineering 2.8k
- Building and Construction 989
- Nuclear Energy and Engineering 6
- Control and Systems Engineering 202
- Statistics, Probability and Uncertainty 51
Countries citing papers authored by Kuo‐Chun Chang
This map shows the geographic impact of Kuo‐Chun Chang'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 Kuo‐Chun Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo‐Chun Chang more than expected).
Fields of papers citing papers by Kuo‐Chun Chang
This network shows the impact of papers produced by Kuo‐Chun Chang. 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 Kuo‐Chun Chang. The network helps show where Kuo‐Chun Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kuo‐Chun Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 8 | |
| 6 | 2021 | 20 | |
| 7 | 2019 | 8 | |
| 8 | 2018 | 24 | |
| 9 | 2017 | 13 | |
| 10 | 2017 | 21 | |
| 11 | 2011 | 184 | |
| 12 | 2008 | 45 | |
| 13 | Seismic performance of skew bridge with friction type rubber bearings | 2008 | 6 |
| 14 | 2008 | 15 | |
| 15 | 2005 | 2 | |
| 16 | 2004 | 44 | |
| 17 | 2003 | 2 | |
| 18 | 2000 | 12 | |
| 19 | 1996 | 6 | |
| 20 | Neural Network Based Classifiers in Vibrational Signature Analysis | 1992 | 1 |
About Kuo‐Chun Chang
Kuo‐Chun Chang is a scholar working on Civil and Structural Engineering, Building and Construction and Ocean Engineering, having authored 106 papers that have together received 3.0k indexed citations. Recurring topics across this work include Seismic Performance and Analysis (52 papers), Structural Behavior of Reinforced Concrete (30 papers), Structural Engineering and Vibration Analysis (29 papers), Structural Health Monitoring Techniques (26 papers), Structural Load-Bearing Analysis (15 papers), Vibration Control and Rheological Fluids (15 papers), Concrete Corrosion and Durability (13 papers) and Structural Response to Dynamic Loads (12 papers). The work is most often cited by research in Civil and Structural Engineering (2.8k citations), Building and Construction (989 citations) and Nuclear Energy and Engineering (6 citations). Kuo‐Chun Chang has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include George C. Lee, Yu‐Chen Ou, Meng‐Hao Tsai, Yao-Tsung Lin, Kuang‐Yen Liu, Yu‐Yuan Lin, Ping‐Hsiung Wang, Minjie Lai, Shiang‐Jung Wang and T. T. Soong. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Composite 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.