Sungwon Kim

3.7k total citations · 1 hit paper
56 papers, 2.9k citations indexed

About

Sungwon Kim is a scholar working on Materials Chemistry, Civil and Structural Engineering and Biomaterials. According to data from OpenAlex, Sungwon Kim has authored 56 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Materials Chemistry, 16 papers in Civil and Structural Engineering and 14 papers in Biomaterials. Recurrent topics in Sungwon Kim's work include Nanoparticle-Based Drug Delivery (11 papers), Structural Load-Bearing Analysis (9 papers) and Structural Behavior of Reinforced Concrete (7 papers). Sungwon Kim is often cited by papers focused on Nanoparticle-Based Drug Delivery (11 papers), Structural Load-Bearing Analysis (9 papers) and Structural Behavior of Reinforced Concrete (7 papers). Sungwon Kim collaborates with scholars based in South Korea, United States and Algeria. Sungwon Kim's co-authors include Kinam Park, Ji‐Xin Cheng, Juhwan Noh, Hongtao Chen, Yousung Jung, Geun Ho Gu, Yunzhou Shi, Venkatraman Gopalan, Ick Chan Kwon and Jong‐Ho Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Sungwon Kim

51 papers receiving 2.9k 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.

An interpretable XGBoost-SHAP machine learning model for reliable prediction of mechanical properties in waste foundry sand-based eco-friendly concrete

2025 27 citations Meysam Alizamir, Mo Wang et al. Results in Engineering profile →

Peers

Sungwon Kim

BIOMA

Wenjing Lin China

Min-Sang Kim South Korea

Gan Liu China

Jong‐Ho Kim South Korea

Karthik Nagapudi United States

Kim Truc Nguyen Singapore

Hongjing Dou China

Zeyu Xiao China

Zifu Li China

Wenjing Lin China

Sungwon Kim

1.1k ×0.8

BIOMA

933 ×0.9

923 ×1.2

617 ×1.0

998 ×2.4

Citations per year, relative to Sungwon Kim Sungwon Kim (= 1×) peers Wenjing Lin

Countries citing papers authored by Sungwon Kim

Since Specialization

Citations

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

Fields of papers citing papers by Sungwon Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungwon Kim

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

All Works

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20 of 20 papers shown

Kim, Sungwon, Meysam Alizamir, Salim Heddam, et al.. (2025). Development of the machine learning and deep learning models with SHAP strategy for predicting groundwater levels in South Korea. Scientific Reports. 15(1). 35523–35523. 1 indexed citations

Alizamir, Meysam, Salim Heddam, Sungwon Kim, et al.. (2025). The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning. Scientific Reports. 15(1). 62–62. 2 indexed citations

Alizamir, Meysam, Mo Wang, Rana Muhammad Adnan Ikram, et al.. (2025). An interpretable XGBoost-SHAP machine learning model for reliable prediction of mechanical properties in waste foundry sand-based eco-friendly concrete. Results in Engineering. 25. 104307–104307. 27 indexed citations breakdown →

Kim, Yujin, Sungwon Kim, Gwang‐Bum Im, et al.. (2024). Fibroblast function recovery through rejuvenation effect of nanovesicles extracted from human adipose-derived stem cells irradiated with red light. Journal of Controlled Release. 368. 453–465. 7 indexed citations

Alizamir, Meysam, Mo Wang, Rana Muhammad Adnan Ikram, et al.. (2024). An efficient computational investigation on accurate daily soil temperature prediction using boosting ensemble methods explanation based on SHAP importance analysis. Results in Engineering. 24. 103220–103220. 14 indexed citations

Kim, Sungwon, et al.. (2023). Interfacial Bond Properties of Underwater Concrete Coated with Bisphenol A Epoxy Resins. Polymers. 15(21). 4290–4290. 10 indexed citations

Kim, Sungwon, et al.. (2023). A structure translation model for crystal compounds. npj Computational Materials. 9(1). 5 indexed citations

Kim, Sungwon, et al.. (2020). Section Design of 3MW Wind Turbine Tower Applied by GFRP DSCT Structure. Korean Society of Hazard Mitigation. 20(5). 175–184.

Noh, Juhwan, Geun Ho Gu, Sungwon Kim, & Yousung Jung. (2020). Machine-enabled inverse design of inorganic solid materials: promises and challenges. Chemical Science. 11(19). 4871–4881. 139 indexed citations

10.

Kim, Sungwon, et al.. (2019). An Analysis on Causalities Among GDP, Electricity Consumption, CO2 Emission and FDI Inflow in Korea. 28(2). 1–17. 1 indexed citations

11.

Sakamoto, Masanori, Koki Inoue, Makoto Okano, et al.. (2016). Light-stimulated carrier dynamics of CuInS₂/CdS heterotetrapod nanocrystals. Nanoscale. 8(18). 9517–9520. 22 indexed citations

12.

Kim, Sungwon, et al.. (2012). Characteristics of Transparent conductive oxide ZnO/Ag/ZnO/PET by the different Current. 1630–1632.

13.

Lee, Hyunju, et al.. (2010). Hybrid solar cells based on tetrapod nanocrystals: The effects of compositions and type II heterojunction on hybrid solar cell performance. Solar Energy Materials and Solar Cells. 95(2). 446–452. 18 indexed citations

14.

Kim, Sungwon, et al.. (2009). Overcoming the barriers in micellar drug delivery: loading efficiency,in vivostability, and micelle–cell interaction. Expert Opinion on Drug Delivery. 7(1). 49–62. 465 indexed citations

15.

Kim, Sungwon, et al.. (2008). Hydrotropic polymer micelles containing acrylic acid moieties for oral delivery of paclitaxel. Journal of Controlled Release. 132(3). 222–229. 103 indexed citations

16.

Park, Keun‐Hong, Ho‐Chun Song, Kun Na, et al.. (2007). Ionic strength-sensitive pullulan acetate nanoparticles (PAN) for intratumoral administration of radioisotope: Ionic strength-dependent aggregation behavior and 99mTechnetium retention property. Colloids and Surfaces B Biointerfaces. 59(1). 16–23. 31 indexed citations

17.

Kim, Sungwon, Ick Chan Kwon, Hyun‐Jong Cho, et al.. (2007). Minimalism in fabrication of self-organized nanogels holding both anti-cancer drug and targeting moiety. Colloids and Surfaces B Biointerfaces. 63(1). 55–63. 32 indexed citations

18.

Kim, Sungwon, et al.. (2007). Characteristics of Hydrogenation in Obliquely-Deposited Amorphous AsGeSeS Thin Films. Journal of the Korean Physical Society. 51(5). 1764–1770. 3 indexed citations

19.

Na, Kun, et al.. (2006). Intratumoral Administration of Rhenium-188-Labeled Pullulan Acetate Nanoparticles (PAN) in Mice Bearing CT-26 Cancer Cells for Suppression of Tumor Growth. Journal of Microbiology and Biotechnology. 16(10). 1491–1498. 6 indexed citations

20.

Kim, Sungwon, et al.. (2003). Design of a highly nonlinear dispersion-shifted fiber with a small effective area by use of the beam propagation method with the Gaussian approximation method. Optics Letters. 28(21). 2031–2031. 4 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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