Sungon Lee

1.7k total citations
62 papers, 1.2k citations indexed

About

Sungon Lee is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Sungon Lee has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Biomedical Engineering, 25 papers in Computer Vision and Pattern Recognition and 15 papers in Control and Systems Engineering. Recurrent topics in Sungon Lee's work include Advanced Fluorescence Microscopy Techniques (11 papers), Photoacoustic and Ultrasonic Imaging (9 papers) and Robotic Path Planning Algorithms (9 papers). Sungon Lee is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (11 papers), Photoacoustic and Ultrasonic Imaging (9 papers) and Robotic Path Planning Algorithms (9 papers). Sungon Lee collaborates with scholars based in South Korea, United States and Italy. Sungon Lee's co-authors include Claudio Vinegoni, Ralph Weissleder, Hafiz Zia Ur Rehman, Youngjin Choi, Paolo Fumene Feruglio, Bum-Jae You, Sang–Rok Oh, Myung Hwangbo, Aaron D. Aguirre and Matthias Nahrendorf and has published in prestigious journals such as Nature Communications, Current Biology and Scientific Reports.

In The Last Decade

Sungon Lee

59 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sungon Lee South Korea	19	470	254	210	201	163	62	1.2k
Xiaojun Yu China	21	501 1.1×	160 0.6×	151 0.7×	145 0.7×	67 0.4×	128	1.8k
Abhilash Pandya United States	21	483 1.0×	225 0.9×	67 0.3×	147 0.7×	146 0.9×	56	1.2k
Yue Chen United States	19	1.3k 2.8×	178 0.7×	189 0.9×	46 0.2×	276 1.7×	101	2.5k
Yi Gu United States	18	256 0.5×	208 0.8×	37 0.2×	191 1.0×	210 1.3×	80	1.2k
Huiqi Li China	29	303 0.6×	840 3.3×	1.1k 5.1×	81 0.4×	138 0.8×	140	2.7k
Christian Rupprecht Germany	22	144 0.3×	841 3.3×	158 0.8×	45 0.2×	116 0.7×	77	1.7k
Yiming Xiao Canada	20	163 0.3×	209 0.8×	402 1.9×	16 0.1×	126 0.8×	74	1.2k
Riccardo Secoli United Kingdom	17	347 0.7×	118 0.5×	52 0.2×	83 0.4×	32 0.2×	33	612
Yakang Dai China	22	317 0.7×	369 1.5×	583 2.8×	36 0.2×	62 0.4×	121	1.7k
Jiquan Yang China	23	1.1k 2.4×	338 1.3×	97 0.5×	32 0.2×	84 0.5×	49	2.1k

Countries citing papers authored by Sungon Lee

Since Specialization

Citations

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

Fields of papers citing papers by Sungon Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sungon Lee. A scholar is included among the top collaborators of Sungon Lee 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 Sungon Lee. Sungon Lee 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

Lee, Sungon, et al.. (2024). Cross-project software defect prediction based on the reduction and hybridization of software metrics. Alexandria Engineering Journal. 112. 161–176.

Lee, Sungon, et al.. (2024). Deep learning and machine learning techniques for head pose estimation: a survey. Artificial Intelligence Review. 57(10). 3 indexed citations

Shin, Hyunsoo, et al.. (2024). Effect of vibrotactile feedback and perception induced by transcranial magnetic stimulation over the primary motor cortex in virtual hand illusion. Virtual Reality. 28(4).

Lee, Sungon, et al.. (2024). Head Pose Estimation Based on 5D Rotation Representation. 195–199. 1 indexed citations

Shin, Hyunsoo, Hyeonseok Jeong, Jaeho Lee, et al.. (2023). Robotic transcranial magnetic stimulation in the treatment of depression: a pilot study. Scientific Reports. 13(1). 14074–14074. 6 indexed citations

Zhai, Zhengjun, et al.. (2023). Graph-Based Feature Learning for Cross-Project Software Defect Prediction. Computers, materials & continua/Computers, materials & continua (Print). 77(1). 161–180. 3 indexed citations

Lee, Sungon, et al.. (2022). Development of an Inspection Robot Operating on a Single Square Rail Track. The Journal of Korea Robotics Society. 17(2). 216–220. 1 indexed citations

Vinegoni, Claudio, Paolo Fumene Feruglio, Gabriel Courties, et al.. (2020). Fluorescence microscopy tensor imaging representations for large-scale dataset analysis. Scientific Reports. 10(1). 5632–5632. 9 indexed citations

Kim, Hwa Soo, et al.. (2020). Contaminated Facade Identification Using Convolutional Neural Network and Image Processing. IEEE Access. 8. 180010–180021. 6 indexed citations

10.

Rehman, Hafiz Zia Ur, et al.. (2019). 3D U-Net for Skull Stripping in Brain MRI. Applied Sciences. 9(3). 569–569. 71 indexed citations

11.

Oh, Soo‐Jin, Jung Moo Lee, Hyun‐Bum Kim, et al.. (2019). Ultrasonic Neuromodulation via Astrocytic TRPA1. Current Biology. 29(20). 3386–3401.e8. 172 indexed citations

12.

Vinegoni, Claudio, Paolo Fumene Feruglio, Christian Brand, et al.. (2017). Measurement of drug-target engagement in live cells by two-photon fluorescence anisotropy imaging. Nature Protocols. 12(7). 1472–1497. 18 indexed citations

13.

Lee, Sungon, et al.. (2016). Underactuated finger mechanism for natural motion and self-adaptive grasping towards bionic partial hand. 548–553. 4 indexed citations

14.

Vinegoni, Claudio, Aaron D. Aguirre, Sungon Lee, & Ralph Weissleder. (2015). Imaging the beating heart in the mouse using intravital microscopy techniques. Nature Protocols. 10(11). 1802–1819. 53 indexed citations

15.

Vinegoni, Claudio, Sungon Lee, Aaron D. Aguirre, & Ralph Weissleder. (2015). New techniques for motion-artifact-free in vivo cardiac microscopy. Frontiers in Physiology. 6. 147–147. 29 indexed citations

16.

Kim, Jun Woo, et al.. (2014). Vibrotactile feeling induced by focused ultrasound stimulation. 98–101. 1 indexed citations

17.

Vinegoni, Claudio, Sungon Lee, Paolo Fumene Feruglio, & Ralph Weissleder. (2013). Advanced Motion Compensation Methods for Intravital Optical Microscopy. IEEE Journal of Selected Topics in Quantum Electronics. 20(2). 83–91. 30 indexed citations

18.

Lee, Sungon, Claudio Vinegoni, Paolo Fumene Feruglio, & Ralph Weissleder. (2012). Improved intravital microscopy via synchronization of respiration and holder stabilization. Journal of Biomedical Optics. 17(9). 960181–960181. 21 indexed citations

19.

Lee, Sungon, Claudio Vinegoni, Paolo Fumene Feruglio, et al.. (2012). Real-time in vivo imaging of the beating mouse heart at microscopic resolution. Nature Communications. 3(1). 1054–1054. 108 indexed citations

20.

Lee, Sungon, Tomohiko Ozaki, & Yoshihiko Nakamura. (2008). In vivo microscope image stabilization through 3-D motion compensation using a contact-type sensor. 1192–1197. 5 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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