Seong‐Hoon Kee

2.5k total citations · 1 hit paper
97 papers, 1.7k citations indexed

About

Seong‐Hoon Kee is a scholar working on Civil and Structural Engineering, Ocean Engineering and Mechanics of Materials. According to data from OpenAlex, Seong‐Hoon Kee has authored 97 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Civil and Structural Engineering, 36 papers in Ocean Engineering and 35 papers in Mechanics of Materials. Recurrent topics in Seong‐Hoon Kee's work include Geophysical Methods and Applications (34 papers), Ultrasonics and Acoustic Wave Propagation (32 papers) and Concrete Corrosion and Durability (23 papers). Seong‐Hoon Kee is often cited by papers focused on Geophysical Methods and Applications (34 papers), Ultrasonics and Acoustic Wave Propagation (32 papers) and Concrete Corrosion and Durability (23 papers). Seong‐Hoon Kee collaborates with scholars based in South Korea, United States and Philippines. Seong‐Hoon Kee's co-authors include Jinying Zhu, Nenad Gucunski, Tae Keun Oh, Hung Manh La, Md. Al-Masrur Khan, Ralf Arndt, John S. Popovics, Jurng‐Jae Yee, Byung-Jae Lee and Yun-Yong Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Cement and Concrete Research.

In The Last Decade

Seong‐Hoon Kee

88 papers receiving 1.6k citations

Hit Papers

IoT-Based Healthcare-Monitoring System towards Improving ... 2022 2026 2023 2024 2022 40 80 120
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. IoT-Based Healthcare-Monitoring System towards Improving Quality of Life: A Review
    2022 148 citations Md. Al-Masrur Khan, Seong‐Hoon Kee et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seong‐Hoon Kee South Korea 20 1.1k 494 459 290 191 97 1.7k
Tae Keun Oh South Korea 18 829 0.8× 483 1.0× 257 0.6× 177 0.6× 172 0.9× 67 1.3k
Yun‐Kyu An South Korea 24 1.1k 1.0× 880 1.8× 460 1.0× 552 1.9× 55 0.3× 65 1.8k
Ali Maher United States 21 995 0.9× 140 0.3× 251 0.5× 445 1.5× 233 1.2× 141 1.6k
Andreas Loizos Greece 22 1.2k 1.1× 157 0.3× 574 1.3× 275 0.9× 109 0.6× 121 1.6k
Arvin Ebrahimkhanlou United States 20 910 0.8× 785 1.6× 341 0.7× 464 1.6× 59 0.3× 73 1.4k
Peter Chang United States 15 964 0.9× 360 0.7× 88 0.2× 209 0.7× 85 0.4× 46 1.3k
Juan M. Caicedo United States 20 1.4k 1.3× 457 0.9× 101 0.2× 360 1.2× 67 0.4× 82 1.9k
Ning Li China 29 822 0.7× 1.3k 2.6× 814 1.8× 668 2.3× 49 0.3× 128 2.3k
Jin‐Hak Yi South Korea 22 1.3k 1.2× 462 0.9× 117 0.3× 332 1.1× 92 0.5× 115 1.7k

Countries citing papers authored by Seong‐Hoon Kee

Since Specialization
Citations

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

Fields of papers citing papers by Seong‐Hoon Kee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seong‐Hoon Kee. 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 Seong‐Hoon Kee. The network helps show where Seong‐Hoon Kee may publish in the future.

Co-authorship network of co-authors of Seong‐Hoon Kee

This figure shows the co-authorship network connecting the top 25 collaborators of Seong‐Hoon Kee. A scholar is included among the top collaborators of Seong‐Hoon Kee 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 Seong‐Hoon Kee. Seong‐Hoon Kee 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
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Gucunski, Nenad, et al.. (2025). Multi-modal NDE data fusion with machine learning for reinforced concrete corrosion damage classification. Construction and Building Materials. 503. 144557–144557.
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Kee, Seong‐Hoon, et al.. (2025). Enhanced Typhoon Track and Wind Prediction: Integrating Climate Variability and Supervised Machine Learning. Earth Systems and Environment. 10(1). 473–492.
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Yee, Jurng‐Jae, et al.. (2024). Calibrating electrical resistivity measurements in reinforced concrete with rebar effects and practical guidelines. Measurement. 244. 116542–116542. 4 indexed citations
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Kee, Seong‐Hoon, et al.. (2024). Optimizing Urban-Scale Evacuation Strategies Through Disaster Victim Aggregation Modification. IEEE Access. 12. 73581–73598.
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Kee, Seong‐Hoon, et al.. (2023). Evaluation of the Size of a Defect in Reinforcing Steel Using Magnetic Flux Leakage (MFL) Measurements. Sensors. 23(12). 5374–5374. 5 indexed citations
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Khan, Md. Al-Masrur, et al.. (2023). Development of AI- and Robotics-Assisted Automated Pavement-Crack-Evaluation System. Remote Sensing. 15(14). 3573–3573. 7 indexed citations
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Khan, Md. Al-Masrur, et al.. (2023). Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP. Scientific Reports. 13(1). 6263–6263. 51 indexed citations
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Khan, Md. Al-Masrur, Seong‐Hoon Kee, Al‐Sakib Khan Pathan, & Abdullah-Al Nahid. (2023). Image Processing Techniques for Concrete Crack Detection: A Scientometrics Literature Review. Remote Sensing. 15(9). 2400–2400. 29 indexed citations
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Kee, Seong‐Hoon, et al.. (2022). Prediction of Compressive Strength of Partially Saturated Concrete Using Machine Learning Methods. Materials. 15(5). 1662–1662. 19 indexed citations
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Kee, Seong‐Hoon, et al.. (2022). Effects of stud connection failure on displacement responses of partially damaged bridges. Structures. 47. 1957–1966. 2 indexed citations
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Khan, Md. Al-Masrur, et al.. (2022). Finding the influential clinical traits that impact on the diagnosis of heart disease using statistical and machine-learning techniques. Scientific Reports. 12(1). 20199–20199. 2 indexed citations
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Kim, Dong-Won, et al.. (2020). Electrical Resistivity Measurements of Reinforced Concrete Slabs with Delamination Defects. Sensors. 20(24). 7113–7113. 9 indexed citations
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Kee, Seong‐Hoon, et al.. (2018). Influence of Rheological Properties of Lightweight Foamed Concrete on Preventing Foam Collapse. Journal of the Korean Recycled Construction Resources Institute. 6(4). 304–310. 1 indexed citations
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Gucunski, Nenad, Seong‐Hoon Kee, Hung Manh La, et al.. (2014). Multi NDE Technology Condition Assessment of Concrete Bridge Decks by RABITTM Platform. 161–168. 3 indexed citations
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Kee, Seong‐Hoon, et al.. (2012). Advanced Signal Interpretation Algorithm for Automated Impact EchoTesting System: Application to Concrete Bridge Decks. Transportation Research Board 91st Annual MeetingTransportation Research Board. 3 indexed citations
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Kee, Seong‐Hoon, et al.. (2011). Strategien der Bauwerkserhaltung von Autobahnbruecken in den USA - mit Unterstuetzung von zerstoerungsfreier Pruefung und Bauwerksmonitoring / Strategies for maintenance of highway bridges in the U.S. - with the support of non-destructive testing and structural health monitoring. Bautechnik. 88(11). 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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