Young‐Gyu Yoon

2.4k total citations · 1 hit paper
25 papers, 1.2k citations indexed

About

Young‐Gyu Yoon is a scholar working on Biomedical Engineering, Biophysics and Electrical and Electronic Engineering. According to data from OpenAlex, Young‐Gyu Yoon has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 11 papers in Biophysics and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Young‐Gyu Yoon's work include Advanced Fluorescence Microscopy Techniques (11 papers), Analog and Mixed-Signal Circuit Design (6 papers) and Cell Image Analysis Techniques (6 papers). Young‐Gyu Yoon is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (11 papers), Analog and Mixed-Signal Circuit Design (6 papers) and Cell Image Analysis Techniques (6 papers). Young‐Gyu Yoon collaborates with scholars based in South Korea, United States and Canada. Young‐Gyu Yoon's co-authors include SeongHwan Cho, Edward S. Boyden, Nikita Pak, Taekwang Jang, Jaewook Kim, Saul Kato, Ramesh Raskar, Maximilian Hoffmann, Alipasha Vaziri and Gordon Wetzstein and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Methods.

In The Last Decade

Young‐Gyu Yoon

20 papers receiving 1.2k 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.

Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy

2014 515 citations Robert Prevedel, Young‐Gyu Yoon et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Young‐Gyu Yoon South Korea	9	553	525	331	223	189	25	1.2k
Hao Xie China	14	329 0.6×	352 0.7×	289 0.9×	201 0.9×	78 0.4×	52	1.1k
Jianyong Tang United States	18	462 0.8×	704 1.3×	131 0.4×	257 1.2×	324 1.7×	29	1.3k
Fabian F. Voigt Switzerland	19	390 0.7×	567 1.1×	191 0.6×	169 0.8×	225 1.2×	33	1.4k
Lucien E. Weiss Israel	18	571 1.0×	767 1.5×	203 0.6×	270 1.2×	484 2.6×	40	1.6k
Carlas Smith Netherlands	15	348 0.6×	642 1.2×	99 0.3×	161 0.7×	323 1.7×	48	1.1k
Mohamed El Beheiry France	15	317 0.6×	356 0.7×	142 0.4×	199 0.9×	474 2.5×	25	1.2k
Michael J. Levene United States	18	903 1.6×	733 1.4×	387 1.2×	462 2.1×	780 4.1×	37	2.4k
Nikita Pak United States	9	317 0.6×	475 0.9×	45 0.1×	209 0.9×	172 0.9×	16	943
Changliang Guo China	22	358 0.6×	318 0.6×	179 0.5×	379 1.7×	83 0.4×	66	1.5k

Countries citing papers authored by Young‐Gyu Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Young‐Gyu Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Gyu Yoon. 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 Young‐Gyu Yoon. The network helps show where Young‐Gyu Yoon may publish in the future.

Co-authorship network of co-authors of Young‐Gyu Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Gyu Yoon. A scholar is included among the top collaborators of Young‐Gyu Yoon 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 Young‐Gyu Yoon. Young‐Gyu Yoon 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, Kyung Min, et al.. (2025). Semiconductor-related research and education at KAIST. 2(9). 592–597.

Jeong, Hakcheon, See‐On Park, Hanwool Jeong, et al.. (2025). Self-supervised video processing with self-calibration on an analogue computing platform based on a selector-less memristor array. Nature Electronics. 5 indexed citations

Zhou, Shihao, Oksana M. Subach, Ran Chen, et al.. (2025). A sensitive soma-localized red fluorescent calcium indicator for in vivo imaging of neuronal populations at single-cell resolution. PLoS Biology. 23(4). e3003048–e3003048.

Ahn, Sungjin, et al.. (2024). From Pixels to Information: Artificial Intelligence in Fluorescence Microscopy. SHILAP Revista de lepidopterología. 5(9). 2 indexed citations

Shin, Kijung, et al.. (2023). Robust and Efficient Alignment of Calcium Imaging Data through Simultaneous Low Rank and Sparse Decomposition. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1938–1947.

Kim, Gyuri, et al.. (2023). <em>In vivo</em> whole-brain imaging of zebrafish larvae using three-dimensional fluorescence microscopy. Journal of Visualized Experiments. 2 indexed citations

Kim, Cheol‐Hee, et al.. (2022). Three-dimensional fluorescence microscopy through virtual refocusing using a recursive light propagation network. Medical Image Analysis. 82. 102600–102600. 2 indexed citations

Kim, H, et al.. (2022). PICASSO allows ultra-multiplexed fluorescence imaging of spatially overlapping proteins without reference spectra measurements. Nature Communications. 13(1). 2475–2475. 56 indexed citations

Kim, Cheol‐Hee, et al.. (2021). 3DM: deep decomposition and deconvolution microscopy for rapid neural activity imaging. Optics Express. 29(20). 32700–32700. 6 indexed citations

10.

Yoon, Young‐Gyu, Zeguan Wang, Nikita Pak, et al.. (2020). Sparse decomposition light-field microscopy for high speed imaging of neuronal activity. Optica. 7(10). 1457–1457. 50 indexed citations

11.

Chang, Jae‐Byum, Fei Chen, Young‐Gyu Yoon, et al.. (2017). Iterative expansion microscopy. Nature Methods. 14(6). 593–599. 255 indexed citations

12.

Yoon, Young‐Gyu, et al.. (2017). Feasibility of 3D Reconstruction of Neural Morphology Using Expansion Microscopy and Barcode-Guided Agglomeration. Frontiers in Computational Neuroscience. 11. 97–97. 12 indexed citations

13.

Prevedel, Robert, Young‐Gyu Yoon, Maximilian Hoffmann, et al.. (2014). Simultaneous whole-animal 3D-imaging of neuronal activity using light field microscopy. DSpace@MIT (Massachusetts Institute of Technology).

14.

Prevedel, Robert, Young‐Gyu Yoon, Maximilian Hoffmann, et al.. (2014). Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy. Nature Methods. 11(7). 727–730. 515 indexed citations breakdown →

15.

Yoon, Young‐Gyu, Sang-Hyun Park, & SeongHwan Cho. (2011). A time-based noise shaping analog-to-digital converter using a gated-ring oscillator. 1–4. 5 indexed citations

16.

Yoon, Young‐Gyu, et al.. (2011). Monitoring the depth of anesthesia from rat EEG using modified Shannon entropy analysis. PubMed. 20. 4386–4389. 5 indexed citations

17.

Kim, Jaewook, Taekwang Jang, Young‐Gyu Yoon, & SeongHwan Cho. (2009). Analysis and Design of Voltage-Controlled Oscillator Based Analog-to-Digital Converter. IEEE Transactions on Circuits and Systems I Regular Papers. 57(1). 18–30. 224 indexed citations

18.

Yoon, Young‐Gyu, et al.. (2009). Design of highly programmable bio-impedance measurement IC in 0.18μm CMOS. 79–82. 4 indexed citations

19.

Bang, Suyoung, et al.. (2009). A pulse transit time measurement method based on electrocardiography and bioimpedance. 153–156. 24 indexed citations

20.

Yoon, Young‐Gyu, Jaewook Kim, Taekwang Jang, & SeongHwan Cho. (2008). A Time-Based Bandpass ADC Using Time-Interleaved Voltage-Controlled Oscillators. IEEE Transactions on Circuits and Systems I Regular Papers. 55(11). 3571–3581. 47 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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