Jonghee Yoon

3.2k total citations
56 papers, 2.2k citations indexed

About

Jonghee Yoon is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jonghee Yoon has authored 56 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Biomedical Engineering, 20 papers in Atomic and Molecular Physics, and Optics and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jonghee Yoon's work include Digital Holography and Microscopy (17 papers), Photoacoustic and Ultrasonic Imaging (11 papers) and Photoreceptor and optogenetics research (9 papers). Jonghee Yoon is often cited by papers focused on Digital Holography and Microscopy (17 papers), Photoacoustic and Ultrasonic Imaging (11 papers) and Photoreceptor and optogenetics research (9 papers). Jonghee Yoon collaborates with scholars based in South Korea, United Kingdom and United States. Jonghee Yoon's co-authors include YongKeun Park, Kyoohyun Kim, Chulhee Choi, Seungwoo Shin, Sarah E. Bohndiek, KyeoReh Lee, Su‐A Yang, SangYun Lee, Jongchan Park and HyunJoo Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Jonghee Yoon

52 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonghee Yoon South Korea 24 918 913 487 303 243 56 2.2k
Charles A. DiMarzio United States 23 399 0.4× 1.6k 1.7× 456 0.9× 176 0.6× 213 0.9× 163 2.7k
Liang Gao United States 33 903 1.0× 1.8k 2.0× 1.0k 2.1× 677 2.2× 423 1.7× 145 3.9k
Cheng Lei China 28 583 0.6× 1.0k 1.1× 470 1.0× 218 0.7× 314 1.3× 224 2.8k
Niyom Lue United States 21 1.6k 1.8× 1.3k 1.4× 993 2.0× 274 0.9× 514 2.1× 38 2.4k
Renu John India 25 340 0.4× 1.5k 1.6× 245 0.5× 390 1.3× 581 2.4× 94 2.8k
Jun Q. Lu United States 27 466 0.5× 1.1k 1.2× 512 1.1× 115 0.4× 164 0.7× 82 2.1k
Puxiang Lai Hong Kong 29 546 0.6× 1.5k 1.6× 120 0.2× 284 0.9× 202 0.8× 116 2.5k
Ke Si China 20 344 0.4× 654 0.7× 386 0.8× 129 0.4× 146 0.6× 69 1.3k
Changhuei Yang United States 27 612 0.7× 3.0k 3.3× 1.2k 2.4× 158 0.5× 191 0.8× 62 4.0k
Xiaodong Tao United States 21 270 0.3× 512 0.6× 356 0.7× 154 0.5× 411 1.7× 98 1.6k

Countries citing papers authored by Jonghee Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Jonghee Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonghee Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Jonghee Yoon. A scholar is included among the top collaborators of Jonghee 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 Jonghee Yoon. Jonghee Yoon 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.
Park, Inyoung, et al.. (2025). Artificial intelligence-based gastric cancer detection in the gastric submucosal dissection method via hyperspectral imaging. Sensors and Actuators B Chemical. 435. 137630–137630. 1 indexed citations
3.
Lee, Jongseo, et al.. (2025). Light scattering-based screening method for rapid evaluating antibiotic effects on bacteria using laser speckle imaging. Journal of Biological Engineering. 19(1). 68–68. 2 indexed citations
4.
Yoon, Dong-Hee & Jonghee Yoon. (2024). Development of a real-time fault detection method for electric power system via transformer-based deep learning model. International Journal of Electrical Power & Energy Systems. 159. 110069–110069. 10 indexed citations
5.
Lee, Jongseo, et al.. (2024). Accurate estimation of the inhibition zone of antibiotics based on laser speckle imaging and multiple random speckle illumination. Computers in Biology and Medicine. 174. 108417–108417. 5 indexed citations
6.
Yoon, Jonghee, et al.. (2020). Deep learning applied to hyperspectral endoscopy for online spectral classification. Scientific Reports. 10(1). 3947–3947. 35 indexed citations
7.
Yoon, Jonghee, James Joseph, Dale J. Waterhouse, et al.. (2019). A clinically translatable hyperspectral endoscopy (HySE) system for imaging the gastrointestinal tract. Nature Communications. 10(1). 1902–1902. 90 indexed citations
8.
Yoon, Jonghee, YoungJu Jo, Young Seo Kim, et al.. (2018). Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning. Journal of Visualized Experiments. 5 indexed citations
9.
Jo, YoungJu, Sang-Jin Park, JaeHwang Jung, et al.. (2017). Holographic deep learning for rapid optical screening of anthrax spores. Science Advances. 3(8). e1700606–e1700606. 130 indexed citations
10.
Yoon, Jonghee, YoungJu Jo, Minhyeok Kim, et al.. (2017). Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning. Scientific Reports. 7(1). 6654–6654. 91 indexed citations
11.
Lee, Moosung, Eek‐Sung Lee, JaeHwang Jung, et al.. (2016). Label-free optical quantification of structural alterations in Alzheimer’s disease. PubMed Central. 50 indexed citations
12.
Kim, Kyoohyun, et al.. (2016). Three-dimensional label-free imaging and quantification of lipid droplets in live hepatocytes. Scientific Reports. 6(1). 36815–36815. 120 indexed citations
13.
Yoon, Jonghee, Minji Lee, KyeoReh Lee, et al.. (2015). Optogenetic control of cell signaling pathway through scattering skull using wavefront shaping. Scientific Reports. 5(1). 13289–13289. 39 indexed citations
14.
Song, Seungjeong, Jungsul Lee, Jonghee Yoon, et al.. (2014). Phenotypic Modulation of Primary Vascular Smooth Muscle Cells by Short-Term Culture on Micropatterned Substrate. PLoS ONE. 9(2). e88089–e88089. 76 indexed citations
16.
Ryu, Seung‐Wook, Eun Chun Han, Jonghee Yoon, & Chulhee Choi. (2014). The Mitochondrial Fusion-Related Proteins Mfn2 and OPA1 are Transcriptionally Induced during Differentiation of Bone Marrow Progenitors to Immature Dendritic Cells. Molecules and Cells. 38(1). 89–94. 29 indexed citations
17.
Ryu, Seung‐Wook, Jonghee Yoon, Nambin Yim, Kyungsun Choi, & Chulhee Choi. (2013). Downregulation of OPA3 Is Responsible for Transforming Growth Factor-β-Induced Mitochondrial Elongation and F-Actin Rearrangement in Retinal Pigment Epithelial ARPE-19 Cells. PLoS ONE. 8(5). e63495–e63495. 12 indexed citations
18.
Yoon, Jonghee, Myunghwan Choi, Taeyun Ku, Won Jong Choi, & Chulhee Choi. (2013). Optical induction of muscle contraction at the tissue scale through intrinsic cellular amplifiers. Journal of Biophotonics. 7(8). 597–606. 7 indexed citations
19.
Choi, Myunghwan, Jonghee Yoon, Taeyun Ku, Kyungsun Choi, & Chulhee Choi. (2011). Label-free optical activation of astrocyte in vivo. Journal of Biomedical Optics. 16(7). 75003–75003. 16 indexed citations
20.
Ryu, Seung‐Wook, Kyungsun Choi, Jonghee Yoon, Sunchang Kim, & Chulhee Choi. (2011). Endoplasmic reticulum‐specific BH3‐only protein BNIP1 induces mitochondrial fragmentation in a Bcl‐2‐ and Drp1‐dependent manner. Journal of Cellular Physiology. 227(8). 3027–3035. 21 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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