Hyo Seon Park

6.2k total citations
179 papers, 5.0k citations indexed

About

Hyo Seon Park is a scholar working on Civil and Structural Engineering, Building and Construction and Environmental Engineering. According to data from OpenAlex, Hyo Seon Park has authored 179 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Civil and Structural Engineering, 37 papers in Building and Construction and 35 papers in Environmental Engineering. Recurrent topics in Hyo Seon Park's work include Structural Health Monitoring Techniques (81 papers), Infrastructure Maintenance and Monitoring (26 papers) and Structural Engineering and Vibration Analysis (23 papers). Hyo Seon Park is often cited by papers focused on Structural Health Monitoring Techniques (81 papers), Infrastructure Maintenance and Monitoring (26 papers) and Structural Engineering and Vibration Analysis (23 papers). Hyo Seon Park collaborates with scholars based in South Korea, United States and China. Hyo Seon Park's co-authors include Hojjat Adeli, Byung Kwan Oh, Taehoon Hong, Yousok Kim, Choongwan Koo, Se Woon Choi, Branko Glišić, Tongjun Cho, Minhyun Lee and Dong‐Eun Lee and has published in prestigious journals such as Environmental Science & Technology, Renewable and Sustainable Energy Reviews and The Science of The Total Environment.

In The Last Decade

Hyo Seon Park

174 papers receiving 4.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hyo Seon Park South Korea 39 2.8k 1.4k 834 513 460 179 5.0k
Jong Wan Hu South Korea 30 2.4k 0.9× 929 0.7× 238 0.3× 151 0.3× 580 1.3× 272 3.8k
Hao Wang China 40 3.4k 1.2× 420 0.3× 1.1k 1.3× 256 0.5× 1.1k 2.3× 313 5.6k
Ioannis Brilakis United Kingdom 52 4.5k 1.6× 2.7k 1.9× 1.9k 2.2× 358 0.7× 458 1.0× 256 9.0k
Lúcio Soibelman United States 36 1.0k 0.4× 1.7k 1.2× 266 0.3× 392 0.8× 246 0.5× 144 4.0k
Yang Yu China 39 2.3k 0.8× 565 0.4× 189 0.2× 200 0.4× 982 2.1× 305 4.9k
Anthony T.C. Goh Singapore 48 5.5k 2.0× 416 0.3× 468 0.6× 435 0.8× 528 1.1× 146 7.7k
Junfei Zhang China 39 2.6k 0.9× 1.2k 0.9× 263 0.3× 150 0.3× 384 0.8× 143 4.5k
Zhiguo Yan China 40 2.6k 0.9× 730 0.5× 318 0.4× 91 0.2× 316 0.7× 269 5.2k
James H. Garrett United States 31 2.1k 0.7× 929 0.7× 333 0.4× 524 1.0× 878 1.9× 215 4.4k
Hao Zhang China 34 2.4k 0.9× 684 0.5× 241 0.3× 85 0.2× 419 0.9× 250 4.0k

Countries citing papers authored by Hyo Seon Park

Since Specialization
Citations

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

Fields of papers citing papers by Hyo Seon Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyo Seon Park. 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 Hyo Seon Park. The network helps show where Hyo Seon Park may publish in the future.

Co-authorship network of co-authors of Hyo Seon Park

This figure shows the co-authorship network connecting the top 25 collaborators of Hyo Seon Park. A scholar is included among the top collaborators of Hyo Seon Park 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 Hyo Seon Park. Hyo Seon Park 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
1.
Cho, Tongjun, et al.. (2025). Low-frequency local resonance bandgap formation and flexural wave control of cantilever-type metamaterial-coupled structures. Journal of Building Engineering. 111. 113212–113212. 2 indexed citations
2.
Cho, Tongjun, et al.. (2025). Low-frequency flexural vibration behavior of Euler–Bernoulli beams coupled with membrane-type metamaterials. Mechanical Systems and Signal Processing. 236. 113043–113043. 1 indexed citations
3.
4.
Hong, Taehoon, et al.. (2024). Hybrid behaviors of RC metaslab combining bandgap and isolation for broadband vibration control. International Journal of Mechanical Sciences. 267. 109004–109004. 12 indexed citations
5.
Park, Hyo Seon, et al.. (2023). SSI-LSTM network for adaptive operational modal analysis of building structures. Mechanical Systems and Signal Processing. 195. 110306–110306. 18 indexed citations
6.
Oh, Byung Kwan, et al.. (2023). Artificial intelligence-based damage localization method for building structures using correlation of measured structural responses. Engineering Applications of Artificial Intelligence. 121. 106019–106019. 9 indexed citations
7.
Hong, Taehoon, et al.. (2023). Mapping top-two-floor corner coordinates to building strains in deep latent space. Journal of Building Engineering. 82. 108279–108279.
8.
Park, Hyo Seon, et al.. (2022). Modal identification of building structures under unknown input conditions using extended Kalman filter and long-short term memory. Integrated Computer-Aided Engineering. 30(2). 185–201. 7 indexed citations
9.
Oh, Byung Kwan, Branko Glišić, & Hyo Seon Park. (2021). Convolutional neural network-based damage detection method for building structures. Smart Structures and Systems. 27(6). 903–916. 3 indexed citations
10.
Park, Hyo Seon, et al.. (2020). Accuracy and stability evaluation of modal damping ratio identification techniques for high-rise buildings. Journal of the Architectural Institute of Korea. 36(8). 161–172. 1 indexed citations
11.
Kim, Bubryur, K.T. Tse, Akihito Yoshida, et al.. (2019). Investigation of flow visualization around linked tall buildings with circular sections. Building and Environment. 153. 60–76. 21 indexed citations
12.
Oh, Byung Kwan, Branko Glišić, Sang Wook Park, & Hyo Seon Park. (2019). Neural network-based seismic response prediction model for building structures using artificial earthquakes. Journal of Sound and Vibration. 468. 115109–115109. 93 indexed citations
13.
Park, Hyo Seon, et al.. (2017). Dynamic torsional response measurement model using motion capture system. Smart Structures and Systems. 19(6). 679–694. 1 indexed citations
14.
Park, Hyo Seon & Byung Kwan Oh. (2017). Real-time structural health monitoring of a supertall building under construction based on visual modal identification strategy. Automation in Construction. 85. 273–289. 53 indexed citations
15.
Park, Hyo Seon, Byung Kwan Oh, & Tongjun Cho. (2017). Vibroacoustic behavior of full-scale sandwich floor with softened graphite-incorporated expanded polystyrene core. Composites Part B Engineering. 137. 74–91. 11 indexed citations
16.
Kim, Young Hoon, et al.. (2016). System identification of smart buildings under ambient excitations. Measurement. 87. 294–302. 16 indexed citations
17.
18.
Park, Hyo Seon, et al.. (2014). Performance‐Based Multiobjective Optimal Seismic Retrofit Method for a Steel Moment‐Resisting Frame Considering the Life‐Cycle Cost. Mathematical Problems in Engineering. 2014(1). 9 indexed citations
19.
Shin, Youngjoon, et al.. (1998). Application of Molten Salt Technology to PWR Spent Fuel Storage. 25. 529–532. 1 indexed citations
20.
Adeli, Hojjat & Hyo Seon Park. (1996). Fully Automated Design of Super-High-Rise Building Structures by a Hybrid AI Model on a Massively Parallel Machine. AI Magazine. 17(3). 87–93. 21 indexed citations

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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