Sung‐Han Sim

5.0k total citations · 2 hit papers
124 papers, 3.9k citations indexed

About

Sung‐Han Sim is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Electrical and Electronic Engineering. According to data from OpenAlex, Sung‐Han Sim has authored 124 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Civil and Structural Engineering, 26 papers in Mechanics of Materials and 23 papers in Electrical and Electronic Engineering. Recurrent topics in Sung‐Han Sim's work include Structural Health Monitoring Techniques (83 papers), Infrastructure Maintenance and Monitoring (41 papers) and Concrete Corrosion and Durability (37 papers). Sung‐Han Sim is often cited by papers focused on Structural Health Monitoring Techniques (83 papers), Infrastructure Maintenance and Monitoring (41 papers) and Concrete Corrosion and Durability (37 papers). Sung‐Han Sim collaborates with scholars based in South Korea, United States and China. Sung‐Han Sim's co-authors include Hyunjun Kim, Soojin Cho, Billie F. Spencer, Eunjong Ahn, Myoungsu Shin, Jong‐Woong Park, Hyung‐Jo Jung, Junhwa Lee, Hongki Jo and Tomonori Nagayama and has published in prestigious journals such as Cement and Concrete Research, Construction and Building Materials and Sensors.

In The Last Decade

Sung‐Han Sim

116 papers receiving 3.7k citations

Hit Papers

Recent progress and future trends on damage identificatio... 2018 2026 2020 2023 2019 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung‐Han Sim South Korea 35 3.2k 690 598 565 349 124 3.9k
F. Necati Çatbaş United States 42 4.8k 1.5× 706 1.0× 473 0.8× 965 1.7× 486 1.4× 169 5.5k
Branko Glišić United States 34 2.9k 0.9× 532 0.8× 1.4k 2.4× 546 1.0× 298 0.9× 223 4.1k
Maria Q. Feng United States 41 5.1k 1.6× 750 1.1× 938 1.6× 636 1.1× 433 1.2× 159 6.1k
Ting‐Hua Yi China 47 5.7k 1.8× 1.2k 1.7× 743 1.2× 1.2k 2.1× 135 0.4× 244 6.7k
Ayan Sadhu Canada 30 2.3k 0.7× 497 0.7× 170 0.3× 567 1.0× 264 0.8× 121 3.1k
Jong-Jae Lee South Korea 34 2.3k 0.7× 995 1.4× 1.1k 1.8× 892 1.6× 137 0.4× 120 4.2k
B. F. Spencer United States 41 6.5k 2.0× 1.4k 2.1× 772 1.3× 604 1.1× 140 0.4× 167 7.9k
James Brownjohn United Kingdom 51 7.8k 2.4× 2.1k 3.1× 780 1.3× 1.0k 1.8× 291 0.8× 228 8.8k
Dongming Feng China 24 2.7k 0.8× 516 0.7× 448 0.7× 445 0.8× 341 1.0× 66 3.1k
Fei Kang China 33 2.3k 0.7× 287 0.4× 205 0.3× 346 0.6× 146 0.4× 93 3.6k

Countries citing papers authored by Sung‐Han Sim

Since Specialization
Citations

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

Fields of papers citing papers by Sung‐Han Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung‐Han Sim. 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 Sung‐Han Sim. The network helps show where Sung‐Han Sim may publish in the future.

Co-authorship network of co-authors of Sung‐Han Sim

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Han Sim. A scholar is included among the top collaborators of Sung‐Han Sim 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 Sung‐Han Sim. Sung‐Han Sim 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.
Lee, Gyumin, et al.. (2025). Zero-shot framework for automated inspection of bridge expansion joints using road scan images. Automation in Construction. 179. 106444–106444.
2.
Spencer, Billie F., Sung‐Han Sim, Robin E. Kim, & Hyungchul Yoon. (2025). Advances in artificial intelligence for structural health monitoring: A comprehensive review. KSCE Journal of Civil Engineering. 29(3). 100203–100203. 10 indexed citations
4.
Sim, Sung‐Han, et al.. (2024). Estimation of Prediction Intervals for Performance Assessment of Building Using Machine Learning. Sensors. 24(13). 4218–4218. 3 indexed citations
5.
Sim, Sung‐Han, et al.. (2024). Long-term displacement measurement system for bridge bearing capable of camera reposition. Measurement. 235. 114921–114921. 4 indexed citations
6.
Jeong, Seunghoo, Seung-Seop Jin, & Sung‐Han Sim. (2024). Modal Property‐Based Data Anomaly Detection Method for Autonomous Stay‐Cable Monitoring System in Cable‐Stayed Bridges. Structural Control and Health Monitoring. 2024(1).
7.
Lee, Junhwa, et al.. (2023). Estimation of Water Stagnation in Asphalt-Overlaid Bridges Using Ground-Penetrating Radar. Structural Control and Health Monitoring. 2023. 1–12. 1 indexed citations
8.
Li, Fangxin, et al.. (2023). Range Image-Aided Edge Line Estimation for Dimensional Inspection of Precast Bridge Slab Using Point Cloud Data. Sustainability. 15(16). 12243–12243. 3 indexed citations
9.
Noureldin, Mohamed, et al.. (2022). A machine learning procedure for seismic qualitative assessment and design of structures considering safety and serviceability. Journal of Building Engineering. 50. 104190–104190. 33 indexed citations
10.
Kim, Byunghyun, et al.. (2022). Comparative Study of Lightweight Deep Semantic Segmentation Models for Concrete Damage Detection. Applied Sciences. 12(24). 12786–12786. 8 indexed citations
11.
Jeong, Seunghoo, et al.. (2022). Sensor data-based probabilistic monitoring of time-history deflections of railway bridges induced by high-speed trains. Structural Health Monitoring. 21(6). 2518–2530. 13 indexed citations
12.
Sim, Sung‐Han, et al.. (2019). Quasi real-time and continuous non-stationary strain estimation in bottom-fixed offshore structures by multimetric data fusion. Smart Structures and Systems. 23(1). 61–69. 3 indexed citations
13.
Jeong, Seunghoo, Junhwa Lee, Soojin Cho, & Sung‐Han Sim. (2019). Integrated cable vibration control system using Arduino. Smart Structures and Systems. 23(6). 695–702. 7 indexed citations
14.
Cho, Soojin, Junhwa Lee, & Sung‐Han Sim. (2018). Comparative study on displacement measurement sensors for high-speed railroad bridge. Smart Structures and Systems. 21(5). 637–652. 8 indexed citations
15.
Cho, Soojin, et al.. (2016). Reference-Free Displacement Estimation of Bridges Using Kalman Filter-Based Multimetric Data Fusion. Journal of Sensors. 2016. 1–9. 34 indexed citations
16.
Kim, Hyunjun, Sung‐Han Sim, & Donghan Kim. (2015). Unmanned aerial vehicle (UAV)-powered concrete crack detection based on digital image processing. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 35 indexed citations
17.
Cho, Soojin, Sung‐Han Sim, Jong‐Woong Park, & Junhwa Lee. (2014). Extension of indirect displacement estimation method using acceleration and strain to various types of beam structures. Smart Structures and Systems. 14(4). 699–718. 13 indexed citations
18.
Sim, Sung‐Han, et al.. (2011). Structural modal identification based on distributed wireless smart sensor networks. Yingyong jichu yu gongcheng kexue xuebao. 19(5). 732–740. 1 indexed citations
19.
Sim, Sung‐Han, et al.. (1998). A Vibration Control of Multi-layer Structure by LQ Type $H_{\infty}$ Control Theory. Power System Engineering. 2(2). 41–46.
20.
Sim, Sung‐Han, et al.. (1997). A Study on the Gap Estimation Circuit Design of the Magnetic Levitation System. Power System Engineering. 1(1). 144–153. 1 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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