Yoon-Soo Shin

422 total citations · 1 hit paper
9 papers, 266 citations indexed

About

Yoon-Soo Shin is a scholar working on Civil and Structural Engineering, Building and Construction and Geology. According to data from OpenAlex, Yoon-Soo Shin has authored 9 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Civil and Structural Engineering, 3 papers in Building and Construction and 3 papers in Geology. Recurrent topics in Yoon-Soo Shin's work include Infrastructure Maintenance and Monitoring (5 papers), 3D Surveying and Cultural Heritage (3 papers) and Structural Health Monitoring Techniques (2 papers). Yoon-Soo Shin is often cited by papers focused on Infrastructure Maintenance and Monitoring (5 papers), 3D Surveying and Cultural Heritage (3 papers) and Structural Health Monitoring Techniques (2 papers). Yoon-Soo Shin collaborates with scholars based in South Korea. Yoon-Soo Shin's co-authors include Sehee Han, Seunguk Na, Seokjae Heo, Young-Sook Roh, JunHee Kim, Junhee Kim, Junhee Kim, Sang‐Hyun Lee, Kyung-Won Min and Kyung‐Won Min and has published in prestigious journals such as Sensors, Sustainability and Applied Sciences.

In The Last Decade

Yoon-Soo Shin

7 papers receiving 256 citations

Hit Papers

Acceptance Model of Artificial Intelligence (AI)-Based Te... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Acceptance Model of Artificial Intelligence (AI)-Based Technologies in Construction Firms: Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organisation–Environment (TOE) Framework
    2022 152 citations Seunguk Na, Seokjae Heo et al. Buildings profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoon-Soo Shin South Korea 6 72 71 57 52 43 9 266
Seokjae Heo South Korea 9 113 1.6× 88 1.2× 55 1.0× 62 1.2× 57 1.3× 20 336
Changsaar Chai Malaysia 10 222 3.1× 18 0.3× 47 0.8× 14 0.3× 147 3.4× 47 347
Yudan Dou China 12 217 3.0× 10 0.1× 39 0.7× 14 0.3× 183 4.3× 33 355
Jenhung Wang Taiwan 9 66 0.9× 11 0.2× 12 0.2× 10 0.2× 26 0.6× 33 323
Dieudonné Tchuente France 9 28 0.4× 9 0.1× 6 0.1× 33 0.6× 38 0.9× 24 284
Yuhan Niu Hong Kong 10 328 4.6× 26 0.4× 57 1.0× 9 0.2× 185 4.3× 13 496
Na Xu China 12 151 2.1× 6 0.1× 59 1.0× 59 1.1× 131 3.0× 28 527
Diandian Liu China 7 177 2.5× 22 0.3× 26 0.5× 5 0.1× 109 2.5× 13 316
Márk Miskolczi Hungary 7 24 0.3× 40 0.6× 6 0.1× 14 0.3× 24 0.6× 20 301
Melinda Jászberényi Hungary 9 25 0.3× 48 0.7× 6 0.1× 20 0.4× 25 0.6× 37 390

Countries citing papers authored by Yoon-Soo Shin

Since Specialization
Citations

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

Fields of papers citing papers by Yoon-Soo Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoon-Soo Shin. 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 Yoon-Soo Shin. The network helps show where Yoon-Soo Shin may publish in the future.

Co-authorship network of co-authors of Yoon-Soo Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Yoon-Soo Shin. A scholar is included among the top collaborators of Yoon-Soo Shin 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 Yoon-Soo Shin. Yoon-Soo Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Shin, Yoon-Soo & JunHee Kim. (2023). Sensor Data Reconstruction for Dynamic Responses of Structures Using External Feedback of Recurrent Neural Network. Sensors. 23(5). 2737–2737. 14 indexed citations
2.
Na, Seunguk, Seokjae Heo, Sehee Han, Yoon-Soo Shin, & Young-Sook Roh. (2022). Acceptance Model of Artificial Intelligence (AI)-Based Technologies in Construction Firms: Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organisation–Environment (TOE) Framework. Buildings. 12(2). 90–90. 152 indexed citations breakdown →
3.
4.
5.
Heo, Seokjae, Seunguk Na, Sehee Han, Yoon-Soo Shin, & Sang‐Hyun Lee. (2021). Flip Side of Artificial Intelligence Technologies: New Labor-Intensive Industry of the 21st Century. Journal of the Computational Structural Engineering Institute of Korea. 34(5). 327–337. 2 indexed citations
6.
Shin, Yoon-Soo & Kyung-Won Min. (2021). Decentralized Structural Diagnosis and Monitoring System for Ensemble Learning on Dynamic Characteristics. Journal of the Computational Structural Engineering Institute of Korea. 34(4). 183–189.
7.
Heo, Seokjae, Sehee Han, Yoon-Soo Shin, & Seunguk Na. (2021). Challenges of Data Refining Process during the Artificial Intelligence Development Projects in the Architecture, Engineering and Construction Industry. Applied Sciences. 11(22). 10919–10919. 18 indexed citations
8.
Shin, Yoon-Soo, et al.. (2021). An Image-Based Steel Rebar Size Estimation and Counting Method Using a Convolutional Neural Network Combined with Homography. Buildings. 11(10). 463–463. 20 indexed citations
9.
Kim, JunHee, Yoon-Soo Shin, & Kyung‐Won Min. (2018). Line Laser Image Processing for Automated Crack Detection of Concrete Structures. Journal of the Computational Structural Engineering Institute of Korea. 31(3). 147–153.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Seokjae Heo Breakdown of academic impact, for papers by Changsaar Chai Breakdown of academic impact, for papers by Yudan Dou Breakdown of academic impact, for papers by Jenhung Wang Breakdown of academic impact, for papers by Dieudonné Tchuente Breakdown of academic impact, for papers by Yuhan Niu Breakdown of academic impact, for papers by Na Xu Breakdown of academic impact, for papers by Diandian Liu Breakdown of academic impact, for papers by Márk Miskolczi Breakdown of academic impact, for papers by Melinda Jászberényi
Rankless by CCL
2026