Hyuk-Chun Noh
- Civil and Structural Engineering top 5%
- Mechanics of Materials top 5%
- Statistics, Probability and Uncertainty top 1%
- Mechanical Engineering top 10%
- Computational Mechanics top 10%
- Co-authors
- Chang‐Koon ChoiPhill‐Seung LeeTaehyo ParkKlaus‐Jürgen BatheJung J. KimHyo‐Gyoung KwakMahmoud Reda TahaAyman S. Mosallam
- Topics
- Probabilistic and Robust Engineering Design (14 papers)Structural Behavior of Reinforced Concrete (9 papers)Composite Structure Analysis and Optimization (8 papers)
- Journals
- Computer Methods in Applied Mechanics and EngineeringComposites Part B EngineeringInternational Journal of Solids and Structures
- Partner nations
- South KoreaUnited States
In The Last Decade
Hyuk-Chun Noh
26 papers receiving 512 citations
Peers
Comparison fields: 5 of 33
- Civil and Structural Engineering 369
- Mechanics of Materials 209
- Statistics, Probability and Uncertainty 200
- Mechanical Engineering 176
- Computational Mechanics 79
Countries citing papers authored by Hyuk-Chun Noh
This map shows the geographic impact of Hyuk-Chun Noh'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 Hyuk-Chun Noh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyuk-Chun Noh more than expected).
Fields of papers citing papers by Hyuk-Chun Noh
This network shows the impact of papers produced by Hyuk-Chun Noh. 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 Hyuk-Chun Noh. The network helps show where Hyuk-Chun Noh may publish in the future.
Co-authorship network of co-authors of Hyuk-Chun Noh
This figure shows the co-authorship network connecting the top 25 collaborators of Hyuk-Chun Noh. A scholar is included among the top collaborators of Hyuk-Chun Noh 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 Hyuk-Chun Noh. Hyuk-Chun Noh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 64 | |
| 3 | 35 | |
| 4 | 11 | |
| 5 | 16 | |
| 6 | 3 | |
| 7 | Extended MLS Difference Method for Potential Problem with Weak and Strong Discontinuities | 0 |
| 8 | 3 | |
| 9 | 28 | |
| 10 | 29 | |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | 36 | |
| 18 | 13 | |
| 19 | 4 | |
| 20 | 30 |
About Hyuk-Chun Noh
Hyuk-Chun Noh is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Building and Construction, having authored 27 papers that have together received 553 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (14 papers), Structural Behavior of Reinforced Concrete (9 papers) and Composite Structure Analysis and Optimization (8 papers). The work is most often cited by research in General Engineering (38 citations), Statistics, Probability and Uncertainty (200 citations) and Civil and Structural Engineering (369 citations). Hyuk-Chun Noh has collaborated with scholars based in South Korea and United States. Frequent co-authors include Chang‐Koon Choi, Phill‐Seung Lee, Taehyo Park, Klaus‐Jürgen Bathe, Jung J. Kim, Hyo‐Gyoung Kwak, Mahmoud Reda Taha, Ayman S. Mosallam, Timothy J. Ross and Nguyen Van Thuan. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Composites Part B Engineering and International Journal of Solids and Structures.
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.