Seunghwa Ryu

10.5k total citations · 7 hit papers
183 papers, 8.6k citations indexed

About

Seunghwa Ryu is a scholar working on Materials Chemistry, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Seunghwa Ryu has authored 183 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Materials Chemistry, 61 papers in Biomedical Engineering and 51 papers in Mechanical Engineering. Recurrent topics in Seunghwa Ryu's work include Advanced Sensor and Energy Harvesting Materials (32 papers), Graphene research and applications (22 papers) and Composite Material Mechanics (21 papers). Seunghwa Ryu is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (32 papers), Graphene research and applications (22 papers) and Composite Material Mechanics (21 papers). Seunghwa Ryu collaborates with scholars based in South Korea, United States and Italy. Seunghwa Ryu's co-authors include Inkyu Park, Sang‐Jun Lee, Morteza Amjadi, Aekachan Pichitpajongkit, Wei Cai, Nicola M. Pugno, Youngsoo Kim, Grace X. Gu, Keonwook Kang and Charles Yang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Seunghwa Ryu

170 papers receiving 8.5k citations

Hit Papers

Highly Stretchable and Sensitive Strain Sensor Based on S... 2013 2026 2017 2021 2014 2013 2014 2016 2020 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seunghwa Ryu South Korea 40 5.1k 2.5k 2.4k 2.0k 1.9k 183 8.6k
Jin Wu China 59 6.7k 1.3× 2.0k 0.8× 3.1k 1.3× 4.0k 2.0× 1.8k 1.0× 262 10.6k
Yewang Su China 37 7.2k 1.4× 920 0.4× 2.7k 1.1× 2.6k 1.3× 2.2k 1.2× 99 9.1k
Bin Su China 59 5.5k 1.1× 2.9k 1.1× 2.1k 0.9× 3.5k 1.8× 1.2k 0.6× 245 11.0k
Yong Zhu United States 61 10.0k 1.9× 4.6k 1.8× 3.2k 1.4× 5.6k 2.8× 2.4k 1.3× 237 16.1k
Keh‐Chih Hwang China 53 4.8k 0.9× 5.0k 2.0× 1.7k 0.7× 2.6k 1.3× 2.8k 1.5× 137 11.6k
Shaoxing Qu China 48 4.8k 0.9× 2.1k 0.8× 1.7k 0.7× 883 0.4× 3.4k 1.8× 258 8.8k
Shuying Wu Australia 41 2.8k 0.5× 1.2k 0.5× 2.0k 0.9× 1.2k 0.6× 962 0.5× 120 5.0k
Li Wang China 49 4.7k 0.9× 2.1k 0.8× 1.9k 0.8× 3.2k 1.6× 1.9k 1.0× 438 10.5k
Jikui Luo China 53 6.9k 1.3× 2.0k 0.8× 3.0k 1.3× 3.6k 1.8× 1.1k 0.6× 316 9.7k
Jinyou Shao China 48 4.3k 0.8× 1.5k 0.6× 1.9k 0.8× 3.7k 1.8× 1.1k 0.6× 211 7.7k

Countries citing papers authored by Seunghwa Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Seunghwa Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seunghwa Ryu. 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 Seunghwa Ryu. The network helps show where Seunghwa Ryu may publish in the future.

Co-authorship network of co-authors of Seunghwa Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of Seunghwa Ryu. A scholar is included among the top collaborators of Seunghwa Ryu 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 Seunghwa Ryu. Seunghwa Ryu 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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Kang, Hyunju, Junhyeong Lee, Soo Hyun Lee, et al.. (2025). Interpretability-driven deep learning for SERS-based classification of respiratory viruses. Biosensors and Bioelectronics. 289. 117891–117891. 2 indexed citations
5.
Park, Kundo, et al.. (2024). Innovative 3D printing of mechanoluminescent composites: Vat photopolymerization meets machine learning. Additive manufacturing. 90. 104324–104324. 9 indexed citations
6.
Jung, Jiyoung, et al.. (2024). Comparative Study of Multi‐objective Bayesian Optimization and NSGA‐III based Approaches for Injection Molding Process. Advanced Theory and Simulations. 7(7). 5 indexed citations
7.
Gu, Jimin, Junseong Ahn, Jungrak Choi, et al.. (2024). Auxetic kirigami structure-based self-powered strain sensor with customizable performance using machine learning. Nano Energy. 130. 110124–110124. 16 indexed citations
8.
Park, Donggeun, Jiyoung Jung, & Seunghwa Ryu. (2023). Double generative network (DGNet) pipeline for structure-property relation of digital composites. Composite Structures. 319. 117131–117131. 3 indexed citations
9.
Lee, Sangryun, et al.. (2023). Advancements and Challenges of Micromechanics-based Homogenization for the Short Fiber Reinforced Composites. 5(3-4). 133–146. 7 indexed citations
10.
Lee, Ju Hee, Tae-Gu Lee, Ha Neul Lee, et al.. (2023). Simple and Multiplexed Detection of Nucleic Acid Targets Based on Fluorescent Ring Patterns and Deep Learning Analysis. ACS Applied Materials & Interfaces. 15(47). 54335–54345. 2 indexed citations
11.
Jung, Young, Jimin Gu, Wookjin Lee, et al.. (2023). Highly Sensitive Soft Pressure Sensors for Wearable Applications Based on Composite Films with Curved 3D Carbon Nanotube Structures. Small. 20(2). e2303981–e2303981. 20 indexed citations
12.
Park, Eunjeong, et al.. (2023). Free-form optimization of pattern shape for improving mechanical characteristics of a concentric tube. Materials & Design. 230. 111974–111974. 13 indexed citations
13.
Lee, Tae-Gu, et al.. (2022). Direct Observation of Three-Dimensional Atomic Structure of Twinned Metallic Nanoparticles and Their Catalytic Properties. Nano Letters. 22(2). 665–672. 25 indexed citations
14.
Park, Kundo, et al.. (2022). Designing staggered platelet composite structure with Gaussian process regression based Bayesian optimization. Composites Science and Technology. 220. 109254–109254. 26 indexed citations
15.
Kim, Hyunjun, In-Ho Kang, Hongjun Park, et al.. (2022). Universal assembly of liquid metal particles in polymers enables elastic printed circuit board. Science. 378(6620). 637–641. 274 indexed citations breakdown →
16.
Lee, Sangryun, et al.. (2021). Effect of size and orientation on stability of dislocation networks upon torsion loading and unloading in FCC metallic micropillars. Acta Materialia. 214. 117010–117010. 6 indexed citations
17.
Lee, Sangryun, Ill Ryu, & Seunghwa Ryu. (2020). Stacking fault energy-dependent plastic deformation of face-centered-cubic metal nanowires under torsional loading. Extreme Mechanics Letters. 40. 100895–100895. 5 indexed citations
18.
Parakh, Abhinav, Sangryun Lee, Mehrdad T. Kiani, et al.. (2020). Stress-Induced Structural Transformations in Au Nanocrystals. Nano Letters. 20(10). 7767–7773. 9 indexed citations
19.
Oh, Jinwon, et al.. (2020). Transparent Pressure Sensor with High Linearity over a Wide Pressure Range for 3D Touch Screen Applications. ACS Applied Materials & Interfaces. 12(14). 16691–16699. 62 indexed citations
20.
Kim, Hyo Won, Wonhee Ko, JiYeon Ku, et al.. (2015). Nanoscale control of phonon excitations in graphene. Nature Communications. 6(1). 7528–7528. 44 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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