DongHun Ryu

795 total citations
24 papers, 533 citations indexed

About

DongHun Ryu is a scholar working on Atomic and Molecular Physics, and Optics, Biophysics and Molecular Biology. According to data from OpenAlex, DongHun Ryu has authored 24 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atomic and Molecular Physics, and Optics, 6 papers in Biophysics and 5 papers in Molecular Biology. Recurrent topics in DongHun Ryu's work include Digital Holography and Microscopy (12 papers), Cell Image Analysis Techniques (5 papers) and Advanced X-ray Imaging Techniques (4 papers). DongHun Ryu is often cited by papers focused on Digital Holography and Microscopy (12 papers), Cell Image Analysis Techniques (5 papers) and Advanced X-ray Imaging Techniques (4 papers). DongHun Ryu collaborates with scholars based in South Korea, United States and Germany. DongHun Ryu's co-authors include YongKeun Park, W. R. Vieth, Rakesh Saini, Hyun‐Seok Min, Yoshihiro Kato, Geon Kim, Richard W. Thoma, W. E. Brown, YoungJu Jo and In Young Yoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Nature Cell Biology.

In The Last Decade

DongHun Ryu

22 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
DongHun Ryu South Korea 13 180 161 136 109 86 24 533
David C. Clark United States 12 87 0.5× 137 0.9× 40 0.3× 15 0.1× 18 0.2× 22 346
Minhua Liang China 12 104 0.6× 113 0.7× 113 0.8× 57 0.5× 25 0.3× 29 474
Jingyan Wang China 9 94 0.5× 233 1.4× 173 1.3× 29 0.3× 218 2.5× 49 657
Junyan Zheng China 7 39 0.2× 104 0.6× 327 2.4× 29 0.3× 24 0.3× 18 609
Yoh Imai Japan 12 171 0.9× 74 0.5× 139 1.0× 25 0.2× 28 0.3× 75 475
Rohith Reddy United States 14 56 0.3× 110 0.7× 205 1.5× 501 4.6× 37 0.4× 32 716
James W. Howard United States 12 34 0.2× 48 0.3× 40 0.3× 17 0.2× 13 0.2× 41 429
Hongying Liu China 11 31 0.2× 330 2.0× 288 2.1× 115 1.1× 40 0.5× 23 804
Libo Zeng China 12 10 0.1× 252 1.6× 150 1.1× 53 0.5× 80 0.9× 43 522
Rieko Arimoto United States 8 113 0.6× 53 0.3× 122 0.9× 78 0.7× 24 0.3× 12 337

Countries citing papers authored by DongHun Ryu

Since Specialization
Citations

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

Fields of papers citing papers by DongHun Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of DongHun Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of DongHun Ryu. A scholar is included among the top collaborators of DongHun 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 DongHun Ryu. DongHun 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
1.
Shi, Liang, DongHun Ryu, & Wojciech Matusik. (2024). Ergonomic‐Centric Holography: Optimizing Realism, Immersion, and Comfort for Holographic Display. Laser & Photonics Review. 18(4). 12 indexed citations
2.
Park, Ju Yeon, Bijie Bai, DongHun Ryu, et al.. (2023). Artificial intelligence-enabled quantitative phase imaging methods for life sciences. Nature Methods. 20(11). 1645–1660. 68 indexed citations
3.
Lee, Young Ki, Ju Yeon Park, Seog Yun Park, et al.. (2023). Machine-learning-based diagnosis of thyroid fine-needle aspiration biopsy synergistically by Papanicolaou staining and refractive index distribution. Scientific Reports. 13(1). 9847–9847. 8 indexed citations
4.
Kim, Geon, DongHun Ryu, Hervé Hugonnet, et al.. (2023). Label‐free histological analysis of retrieved thrombi in acute ischemic stroke using optical diffraction tomography and deep learning. Journal of Biophotonics. 16(8). e202300067–e202300067. 5 indexed citations
5.
Kang, Sung Hun, Yoo Seob Shin, Sung Kyun Kim, et al.. (2022). Interactions of Nanoparticles with Macrophages and Feasibility of Drug Delivery for Asthma. International Journal of Molecular Sciences. 23(3). 1622–1622. 19 indexed citations
6.
Kim, Geon, Minhee Kang, DongHun Ryu, et al.. (2022). Rapid species identification of pathogenic bacteria from a minute quantity exploiting three-dimensional quantitative phase imaging and artificial neural network. Light Science & Applications. 11(1). 190–190. 43 indexed citations
7.
Jo, YoungJu, Hyungjoo Cho, Wei Sun Park, et al.. (2022). Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning. Conference on Lasers and Electro-Optics. 8. ATh2I.6–ATh2I.6. 2 indexed citations
8.
Ryu, DongHun, Jinho Kim, Hyun‐Seok Min, et al.. (2021). Label-Free White Blood Cell Classification Using Refractive Index Tomography and Deep Learning. SHILAP Revista de lepidopterología. 2021. 9893804–9893804. 36 indexed citations
9.
Jo, YoungJu, Hyungjoo Cho, Wei Sun Park, et al.. (2021). Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning. Nature Cell Biology. 23(12). 1329–1337. 78 indexed citations
10.
Ryu, DongHun, et al.. (2020). Label-free 3-D quantitative phase imaging cytometry with deep learning: identifying naive, memory, and senescent T cells. The Journal of Immunology. 204(1_Supplement). 86.5–86.5. 4 indexed citations
11.
Ryu, DongHun, et al.. (2020). Nutrient Solution Management System for Smart Farms and Plant Factory. 1537–1542. 9 indexed citations
12.
Ryu, DongHun, YoungJu Jo, Young Seo Kim, et al.. (2019). Deep learning-based optical field screening for robust optical diffraction tomography. Scientific Reports. 9(1). 15239–15239. 19 indexed citations
13.
Ryu, DongHun, et al.. (2017). Subsampled phase retrieval for temporal resolution enhancement in lensless on-chip holographic video. Biomedical Optics Express. 8(3). 1981–1981. 19 indexed citations
14.
Ryu, DongHun, et al.. (2017). High-speed holographic imaging using compressed sensing and phase retrieval. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10222. 102220G–102220G.
15.
Ryu, DongHun. (2006). Fresh Wineskins for New Wine: A New Perspective on North Korean Christianity. Journal of Church and State. 48(3). 659–675. 2 indexed citations
16.
Ryu, DongHun, et al.. (1974). Determination of invertase activity during ultrafiltration. Biotechnology and Bioengineering. 16(5). 697–699. 11 indexed citations
17.
Brown, W. E., et al.. (1971). Sequential 11α‐hydroxylation and 1‐dehydrogenation of 16α‐hydroxycortexolone. Biotechnology and Bioengineering. 13(4). 503–515. 16 indexed citations
18.
Saini, Rakesh, et al.. (1971). Kinetic modeling of the hydrolysis of sucrose by invertase. Biotechnology and Bioengineering. 13(5). 641–656. 91 indexed citations
19.
Brown, W. E., et al.. (1970). Influence of Mode of Steroid Substrate Addition on Conversion of Steroid and Growth Characteristics in a Mixed Culture Fermentation. Journal of General Microbiology. 61(1). 97–105. 12 indexed citations
20.
Ryu, DongHun, et al.. (1969). Induction and Repression of Steroid Hydroxylases and Dehydrogenases in Mixed Culture Fermentations. Journal of General Microbiology. 55(1). 145–153. 14 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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