Jong‐Su Jeon

6.2k total citations · 4 hit papers
117 papers, 4.9k citations indexed

About

Jong‐Su Jeon is a scholar working on Civil and Structural Engineering, Building and Construction and Materials Chemistry. According to data from OpenAlex, Jong‐Su Jeon has authored 117 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Civil and Structural Engineering, 53 papers in Building and Construction and 8 papers in Materials Chemistry. Recurrent topics in Jong‐Su Jeon's work include Seismic Performance and Analysis (72 papers), Structural Behavior of Reinforced Concrete (51 papers) and Structural Health Monitoring Techniques (40 papers). Jong‐Su Jeon is often cited by papers focused on Seismic Performance and Analysis (72 papers), Structural Behavior of Reinforced Concrete (51 papers) and Structural Health Monitoring Techniques (40 papers). Jong‐Su Jeon collaborates with scholars based in South Korea, United States and China. Jong‐Su Jeon's co-authors include Sujith Mangalathu, Seong‐Hoon Hwang, Reginald DesRoches, Eunsoo Choi, Ioannis Brilakis, Gwanghee Heo, Jian Zhong, Laura N. Lowes, Jiuk Shin and Hansol Jang and has published in prestigious journals such as Construction and Building Materials, Journal of the Operational Research Society and Composites Part B Engineering.

In The Last Decade

Jong‐Su Jeon

105 papers receiving 4.7k citations

Hit Papers

align trajectories

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.

Failure mode and effects analysis of RC members based on machine-learning-based SHapley Additive exPlanations (SHAP) approach

2020 705 citations Sujith Mangalathu, Jong‐Su Jeon et al. Engineering Structures profile →
Classification of failure mode and prediction of shear strength for reinforced concrete beam-column joints using machine learning techniques

2018 288 citations Sujith Mangalathu, Jong‐Su Jeon Engineering Structures profile →
Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls

2020 241 citations Sujith Mangalathu, Jong‐Su Jeon et al. Engineering Structures profile →
Artificial neural network based multi-dimensional fragility development of skewed concrete bridge classes

2018 231 citations Sujith Mangalathu, Jong‐Su Jeon et al. Engineering Structures profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jong‐Su Jeon South Korea	35	4.2k	1.4k	312	235	231	117	4.9k
Sujith Mangalathu India	35	4.5k 1.1×	1.3k 1.0×	427 1.4×	390 1.7×	208 0.9×	106	5.6k
De‐Cheng Feng China	45	5.3k 1.3×	2.4k 1.8×	432 1.4×	133 0.6×	413 1.8×	196	6.2k
Khalid M. Mosalam United States	41	5.6k 1.3×	2.0k 1.4×	750 2.4×	148 0.6×	184 0.8×	178	6.5k
Gerardo Mario Verderame Italy	41	6.4k 1.5×	2.4k 1.8×	293 0.9×	155 0.7×	98 0.4×	160	6.8k
Luigi Di Sarno United Kingdom	33	3.2k 0.8×	1.1k 0.8×	207 0.7×	61 0.3×	124 0.5×	138	3.7k
Dagang Lü China	27	1.9k 0.4×	924 0.7×	174 0.6×	65 0.3×	158 0.7×	147	2.6k
Ertuǧrul Taciroğlu United States	33	3.3k 0.8×	593 0.4×	434 1.4×	217 0.9×	85 0.4×	240	4.2k
You Dong Hong Kong	35	3.5k 0.8×	853 0.6×	326 1.0×	70 0.3×	245 1.1×	198	4.4k
Jamie E. Padgett United States	49	7.1k 1.7×	1.6k 1.2×	306 1.0×	146 0.6×	314 1.4×	204	8.1k
M.Z. Naser United States	41	3.5k 0.8×	2.1k 1.5×	321 1.0×	228 1.0×	267 1.2×	191	4.9k

Countries citing papers authored by Jong‐Su Jeon

Since Specialization

Citations

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

Fields of papers citing papers by Jong‐Su Jeon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong‐Su Jeon. 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 Jong‐Su Jeon. The network helps show where Jong‐Su Jeon may publish in the future.

Co-authorship network of co-authors of Jong‐Su Jeon

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kim, Yoon Jae, Chang Seok Lee, & Jong‐Su Jeon. (2025). Model Parameter Estimation for Hysteretic Behavior Simulation of FRP‐Jacketed Reinforced Concrete Columns. Earthquake Engineering & Structural Dynamics. 54(6). 1657–1677.

Choi, Eunsoo, et al.. (2024). CFD simulation-based fragility analysis of reinforced concrete buildings damaged by traveling fire. Engineering Structures. 317. 118644–118644. 1 indexed citations

Mangalathu, Sujith, et al.. (2024). Effect of data drift on the performance of machine‐learning models: Seismic damage prediction for aging bridges. Earthquake Engineering & Structural Dynamics. 53(15). 4541–4561. 10 indexed citations

Mangalathu, Sujith, et al.. (2024). Rapid damage state identification of structures using generalized zero‐shot learning method. Earthquake Engineering & Structural Dynamics. 4 indexed citations

Lee, Chang Seok, et al.. (2024). Machine learning-based residual drift prediction of concrete-filled steel tube columns under earthquake loads. Journal of Building Engineering. 97. 110903–110903. 2 indexed citations

Lee, Chang Seok, et al.. (2024). Hysteretic model parameters for seismic performance assessment of cyclically degraded reinforced concrete columns. Soil Dynamics and Earthquake Engineering. 179. 108519–108519. 1 indexed citations

Lee, Chang Seok & Jong‐Su Jeon. (2023). Risk-based seismic design of diagonal self-centering shape-memory alloy wire-based bracing system in multi-column bent bridges. Engineering Structures. 289. 116295–116295. 7 indexed citations

Jeon, Jong‐Su, et al.. (2023). Fire scenario-based damage assessment of ductile reinforced concrete buildings using computational fluid dynamics models. Journal of Building Engineering. 78. 107655–107655. 9 indexed citations

Lee, Chang Seok & Jong‐Su Jeon. (2023). Seismic risk-based optimization of tension-only shape-memory alloy device for steel moment-resisting frames. Engineering Structures. 296. 116976–116976. 3 indexed citations

10.

Choi, Eunsoo, et al.. (2023). Investigation of flexural behavior of crimped SMA fiber-reinforced mortar beams through experimental study and mesoscale finite element modeling. Construction and Building Materials. 411. 134618–134618. 4 indexed citations

11.

Mangalathu, Sujith, et al.. (2023). Betweenness Centrality-Based seismic risk management for bridge transportation networks. Engineering Structures. 289. 116301–116301. 16 indexed citations

12.

Lee, Chang Seok, et al.. (2023). Lumped plasticity model for simulating the inelastic earthquake response of CFT columns. Journal of Constructional Steel Research. 211. 108196–108196. 1 indexed citations

13.

Choi, Eunsoo, Alireza Ostadrahimi, Jong-Han Lee, & Jong‐Su Jeon. (2022). On the efficiency of induced prestressing in SMA mortar beams through different thermal stimuli. Smart Materials and Structures. 31(12). 125026–125026. 8 indexed citations

14.

Kang, Tae Won, et al.. (2021). Analysis of Radiator Cooling Effects According to the Vertical-Horizontal Fan Arrangement. Journal of The Korean Society of Manufacturing Technology Engineers. 30(6). 487–494.

15.

Choi, Eunsoo, et al.. (2019). Self-centering and damping devices using SMA dual rings. Smart Materials and Structures. 28(8). 85005–85005. 16 indexed citations

16.

Mangalathu, Sujith & Jong‐Su Jeon. (2018). Adjustment Factors to Account for the Effect of Bridge Deck Horizontal Curvature on the Seismic Response of Concrete Box‐Girder Bridges in California. Earthquake Spectra. 34(2). 893–914. 8 indexed citations

17.

Zhong, Jian, et al.. (2018). Optimal Intensity Measures in Probabilistic Seismic Demand Models of Cable-Stayed Bridges Subjected to Pulse-Like Ground Motions. Journal of Bridge Engineering. 24(2). 103 indexed citations

18.

Zhong, Jian, Jong‐Su Jeon, & Wei-Xin Ren. (2018). Risk assessment for a long-span cable-stayed bridge subjected to multiple support excitations. Engineering Structures. 176. 220–230. 46 indexed citations

19.

Jeon, Jong‐Su, Abdollah Shafieezadeh, & Reginald DesRoches. (2018). Component fragility assessment of a long, curved multi-frame bridge: Uniform excitation versus spatially correlated ground motions. STRUCTURAL ENGINEERING AND MECHANICS. 65(5). 633–644. 2 indexed citations

20.

Jeon, Jong‐Su, Eunsoo Choi, & Myung-Hyun Noh. (2017). Fragility characteristics of skewed concrete bridges accounting for ground motion directionality. STRUCTURAL ENGINEERING AND MECHANICS. 63(5). 647–657. 11 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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