C. Won

2.1k citations

82 papers · 1.7k indexed · h-index 23

Impact in

Condensed Matter Physics top 2%
- Physics of Superconductivity and Magnetism
- Theoretical and Computational Physics
- Advanced Condensed Matter Physics
Atomic and Molecular Physics, and Optics top 2%
- Magnetic properties of thin films

Papers in

Condensed Matter Physics 46
- Physics of Superconductivity and Magnetism 25
- Theoretical and Computational Physics 23
- Advanced Condensed Matter Physics 9
Atomic and Molecular Physics, and Optics 73
- Magnetic properties of thin films 67

Co-authors: Yizheng Wu Hee Young Kwon Z. Q. Qiu Andreas K. Schmid Alpha T. N’Diaye Gong Chen Andrew Doran A. Schöll
Journals: Physical Review B (14 papers)Journal of Magnetism and Magnetic Materials (10 papers)Journal of Applied Physics (9 papers)Scientific Reports (8 papers)Physical review. B, Condensed matter (8 papers)
Partner nations: South Korea China United States

In The Last Decade

C. Won

78 papers receiving 1.7k citations

Peers

Countries citing papers authored by C. Won

Since Specialization

Citations

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

Fields of papers citing papers by C. Won

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside C. Won, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Won Line = papers co-authored together C. Won links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	3D Integrated Process and Hybrid Bonding of High Bandwidth Memory (HBM) Electronic Materials Letters ·Charlotte EC Kingman, C. Won, 周桂英, Shahed Altarawneh, Tae Min Choi, 牛运光, 陈自刚, Songhun Yoon, Sung Gyu Pyo	2025	2
2	Reducing crystal symmetry to generate out-of-plane Dzyaloshinskii–Moriya interaction Nature Communications ·Meila Prati Handayani, Hee Young Kwon, Tianping Ma, Zhiyuan Cheng, Colin Ophus, B. F. Miao, Liang Sun, Yizheng Wu, Kai Liu, S. Parkin, C. Won, Andreas K. Schmid, Haifeng Ding, Gong Chen	2024	3
3	Indexing Topological Numbers on Images by Transferring Chiral Magnetic Textures Advanced Materials Technologies ·Jerry W. SanDiego, إيمان لفتة حسين, H. Erdmann, Hee Young Kwon, C. Won	2024	1
4	Topological magnetic structure generation using VAE-GAN hybrid model and discriminator-driven latent sampling Scientific Reports ·Zhihai Liu, Xiaobo Zhang, Nicolas Pirotte, Jun Woo Choi, Hee Young Kwon, C. Won	2023	3
5	Super-resolution of magnetic systems using deep learning Scientific Reports ·Nicolas Pirotte, Xiaobo Zhang, Zhihai Liu, Jun Woo Choi, B.P. Karandashov, Hee Young Kwon, C. Won	2023	0
6	Reversible writing/deleting of magnetic skyrmions through hydrogen adsorption/desorption Nature Communications ·Gong Chen, Colin Ophus, Alberto Quintana, Hee Young Kwon, C. Won, Haifeng Ding, Yizheng Wu, Andreas K. Schmid, Kai Liu	2022	43
7	Searching for the ground state of complex spin-ice systems using deep learning techniques Scientific Reports ·Hee Young Kwon, Xiaobo Zhang, Zhihai Liu, Nicolas Pirotte, Dong Shi, 蔡運寧, Jun Woo Choi, C. Won	2022	4
8	Optimization of physical quantities in the autoencoder latent space Scientific Reports ·Zhihai Liu, Xiaobo Zhang, Nicolas Pirotte, Jung‐Hae Choi, Hee Young Kwon, C. Won	2022	11
9	Estimating the effective fields of spin configurations using a deep learning technique Scientific Reports ·K. Haustein, Xiaobo Zhang, А А Пискорский, Jun Woo Choi, Hee Young Kwon, C. Won	2021	6
10	Magnetic State Generation using Hamiltonian Guided Variational Autoencoder with Spin Structure Stabilization Advanced Science ·Hee Young Kwon, H. Erdmann, Sung‐Min Park, Christian Choi, Jun Woo Choi, C. Won	2021	11
11	Magnetic Hamiltonian parameter estimation using deep learning techniques Science Advances ·Hee Young Kwon, Xiaobo Zhang, Teresita de J. Saucedo Molina, B.P. Karandashov, Kai Liu, Andreas K. Schmid, Yizheng Wu, Jun Woo Choi, C. Won	2020	29
12	An innovative magnetic state generator using machine learning techniques Scientific Reports ·Hee Young Kwon, Alan Prata, Teresita de J. Saucedo Molina, Xiaobo Zhang, Jun Woo Choi, C. Won	2019	5
13	The spin structures of interlayer coupled magnetic films with opposite chirality Scientific Reports ·Fan Ouyang, Λ. Πανουτσακοπούλου, Hee Young Kwon, Jun Woo Choi, Byoung‐Chul Min, C. Won	2018	7
14	Out-of-plane chiral domain wall spin-structures in ultrathin in-plane magnets Nature Communications ·Gong Chen, Fan Ouyang, Colin Ophus, Liza Chaco, Hee Young Kwon, Р Б Галеева, C. Won, Kai Liu, Yizheng Wu, Andreas K. Schmid	2017	38
15	Unlocking Bloch-type chirality in ultrathin magnets through uniaxial strain Nature Communications ·Gong Chen, Alpha T. N’Diaye, Fan Ouyang, Hee Young Kwon, C. Won, Yizheng Wu, Z. Q. Qiu, Andreas K. Schmid	2015	32
16	Tailoring the chirality of magnetic domain walls by interface engineering Nature Communications ·Gong Chen, Tianping Ma, Alpha T. N’Diaye, Hee Young Kwon, C. Won, Yizheng Wu, Andreas K. Schmid	2013	279
17	Self-organized Pattern Formations from Two-length-scale Repulsive Interactions Journal of the Korean Physical Society ·J. Helm, İsnur İnci Armutlu, Kaifeng Bu, 龍鈴木, C. Won	2011	1
18	Symmetry-Breaking Induced Exchange Bias in Ferromagnetic Ni-Cu-Co and Ni-Fe-Co Sandwiches Grown on a Vicinal Cu(001) Surface Physical Review Letters ·C. Won, Yizheng Wu, Elke Arenholz, Jun Woo Choi, J. Wu, Z. Q. Qiu	2007	9
19	Magnetic Stripe Domains in Coupled Magnetic Sandwiches Physical Review Letters ·Yizheng Wu, C. Won, A. Schöll, Andrew Doran, H. W. Zhao, Xiaofeng Jin, Z. Q. Qiu	2004	87
20	Magnetic Phase Transition inCo/Cu/Ni/Cu(100)andCo/Fe/Ni/Cu(100) Physical Review Letters ·C. Won, Yizheng Wu, A. Schöll, Andrew Doran, N. Kurahashi, H. W. Zhao, Z. Q. Qiu	2003	14

About C. Won

C. Won is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Statistical and Nonlinear Physics and Materials Chemistry, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include Magnetic properties of thin films (67 papers), Physics of Superconductivity and Magnetism (25 papers), Magnetic Properties and Applications (25 papers), Theoretical and Computational Physics (23 papers), Magneto-Optical Properties and Applications (10 papers), Advanced Condensed Matter Physics (9 papers), Characterization and Applications of Magnetic Nanoparticles (7 papers) and ZnO doping and properties (7 papers). The work is most often cited by research in Condensed Matter Physics (812 citations), Atomic and Molecular Physics, and Optics (1.5k citations), Electronic, Optical and Magnetic Materials (763 citations), Structural Biology (18 citations) and Materials Chemistry (382 citations). C. Won has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Yizheng Wu, Hee Young Kwon, Z. Q. Qiu, Andreas K. Schmid, Alpha T. N’Diaye, Gong Chen, Andrew Doran, A. Schöll, H. W. Zhao and Tianping Ma. Their work appears in journals such as Physical Review B, Journal of Magnetism and Magnetic Materials, Journal of Applied Physics, Scientific Reports and Physical review. B, Condensed matter.

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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