Hee Young Kwon

2.3k total citations
80 papers, 1.8k citations indexed

About

Hee Young Kwon is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Hee Young Kwon has authored 80 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Atomic and Molecular Physics, and Optics, 25 papers in Condensed Matter Physics and 18 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Hee Young Kwon's work include Magnetic properties of thin films (32 papers), Theoretical and Computational Physics (16 papers) and Magnetic Properties and Applications (11 papers). Hee Young Kwon is often cited by papers focused on Magnetic properties of thin films (32 papers), Theoretical and Computational Physics (16 papers) and Magnetic Properties and Applications (11 papers). Hee Young Kwon collaborates with scholars based in South Korea, United States and China. Hee Young Kwon's co-authors include C. Won, Yizheng Wu, Andreas K. Schmid, Alpha T. N’Diaye, Gong Chen, Tianping Ma, Jonas Pontusson, Sung‐Hoon Kim, Soo‐Jin Jeong and Z. Q. Qiu and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nano Letters.

In The Last Decade

Hee Young Kwon

75 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hee Young Kwon South Korea 24 844 492 441 299 268 80 1.8k
Zhipeng Ye China 31 343 0.4× 167 0.3× 244 0.6× 599 2.0× 1.1k 4.0× 140 3.4k
Fang Zhou China 28 159 0.2× 921 1.9× 1.3k 2.9× 303 1.0× 641 2.4× 223 3.1k
Jin-Hua Gao China 20 735 0.9× 212 0.4× 115 0.3× 153 0.5× 783 2.9× 60 1.5k
Ming Yan China 23 823 1.0× 144 0.3× 667 1.5× 115 0.4× 679 2.5× 93 2.0k
Neal G. Anderson United States 22 1.0k 1.2× 163 0.3× 60 0.1× 297 1.0× 499 1.9× 101 2.5k
Ge Yang United States 22 239 0.3× 217 0.4× 111 0.3× 106 0.4× 252 0.9× 51 1.1k
Min Zhuang China 32 235 0.3× 117 0.2× 156 0.4× 1.9k 6.4× 273 1.0× 130 3.4k

Countries citing papers authored by Hee Young Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Hee Young Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee Young Kwon. 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 Hee Young Kwon. The network helps show where Hee Young Kwon may publish in the future.

Co-authorship network of co-authors of Hee Young Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Hee Young Kwon. A scholar is included among the top collaborators of Hee Young Kwon 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 Hee Young Kwon. Hee Young Kwon 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
1.
Kwon, Hee Young, Tianping Ma, Zhiyuan Cheng, et al.. (2024). Reducing crystal symmetry to generate out-of-plane Dzyaloshinskii–Moriya interaction. Nature Communications. 15(1). 10199–10199. 3 indexed citations
2.
Choi, Jun Woo, et al.. (2023). Topological magnetic structure generation using VAE-GAN hybrid model and discriminator-driven latent sampling. Scientific Reports. 13(1). 20377–20377. 3 indexed citations
3.
Kwon, Hee Young & Jungho Jin. (2023). Omniphobic, ice-repellent, anti-bacterial, slippery liquid-infused porous surface (SLIPS) using sprayable chitin nanofiber coating. Macromolecular Research. 31(1). 65–74. 10 indexed citations
4.
Choi, Jun Woo, et al.. (2023). Super-resolution of magnetic systems using deep learning. Scientific Reports. 13(1). 11526–11526.
5.
Chen, Gong, Colin Ophus, Alberto Quintana, et al.. (2022). Reversible writing/deleting of magnetic skyrmions through hydrogen adsorption/desorption. Nature Communications. 13(1). 1350–1350. 43 indexed citations
6.
7.
Choi, Jun Woo, et al.. (2021). Estimating the effective fields of spin configurations using a deep learning technique. Scientific Reports. 11(1). 22937–22937. 6 indexed citations
8.
Kim, Sei Won, In Kyoung Kim, Chang Dong Yeo, et al.. (2020). Effects of chronic intermittent hypoxia caused by obstructive sleep apnea on lipopolysaccharide-induced acute lung injury. Experimental Lung Research. 46(9). 341–351. 6 indexed citations
9.
Kwon, Hee Young, Kai Liu, Andreas K. Schmid, et al.. (2020). Magnetic Hamiltonian parameter estimation using deep learning techniques. Science Advances. 6(39). 29 indexed citations
10.
Kang, Hyeon Hui, In Kyoung Kim, Chang Dong Yeo, et al.. (2020). The Effects of Chronic Intermittent Hypoxia in Bleomycin-Induced Lung Injury on Pulmonary Fibrosis via Regulating the NF-κB/Nrf2 Signaling Pathway. Tuberculosis & respiratory diseases. 83(Supple 1). S63–S74. 16 indexed citations
11.
Kwon, Hee Young, et al.. (2018). The spin structures of interlayer coupled magnetic films with opposite chirality. Scientific Reports. 8(1). 2361–2361. 7 indexed citations
12.
Kim, Ju‐Ha, Hee Young Kwon, Min‐Ho Nam, et al.. (2017). Inhibition of CUG-binding protein 1 and activation of caspases are critically involved in piperazine derivative BK10007S induced apoptosis in hepatocellular carcinoma cells. PLoS ONE. 12(10). e0186490–e0186490. 9 indexed citations
13.
Kwon, Hee Young, Ju‐Ha Kim, Bonglee Kim, Sanjay Srivastava, & Sung‐Hoon Kim. (2017). Regulation of SIRT1/AMPK axis is critically involved in gallotannin-induced senescence and impaired autophagy leading to cell death in hepatocellular carcinoma cells. Archives of Toxicology. 92(1). 241–257. 26 indexed citations
14.
Chen, Gong, Colin Ophus, Hee Young Kwon, et al.. (2017). Out-of-plane chiral domain wall spin-structures in ultrathin in-plane magnets. Nature Communications. 8(1). 15302–15302. 38 indexed citations
15.
Chen, Gong, Alpha T. N’Diaye, Hee Young Kwon, et al.. (2015). Unlocking Bloch-type chirality in ultrathin magnets through uniaxial strain. Nature Communications. 6(1). 6598–6598. 32 indexed citations
16.
Kwon, Hee Young, et al.. (2015). Upregulation of Death Receptor 5 and Production of Reactive Oxygen Species Mediate Sensitization of PC-3 Prostate Cancer Cells to TRAIL Induced Apoptosis by Vitisin A. Cellular Physiology and Biochemistry. 36(3). 1151–1162. 24 indexed citations
17.
Park, Ji-Hyuk, Hee Young Kwon, Eun Jung Sohn, et al.. (2013). Inhibition of Wnt/β-catenin signaling mediates ursolic acid-induced apoptosis in PC-3 prostate cancer cells. Pharmacological Reports. 65(5). 1366–1374. 51 indexed citations
18.
Jeong, Soo‐Jin, Hee Young Kwon, Ji Hoon Jung, et al.. (2013). Decursin and Doxorubicin Are in Synergy for the Induction of Apoptosis via STAT3 and/or mTOR Pathways in Human Multiple Myeloma Cells. Evidence-based Complementary and Alternative Medicine. 2013. 1–13. 29 indexed citations
19.
20.
Kwon, Hee Young, et al.. (1994). Color Classification of Image Using Kohonen Neural-Network Algorithm. International Conference on Neural Information Processing. 3(3). 1791–1796. 2 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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