Myung-Jae Lee

1.3k total citations
78 papers, 881 citations indexed

About

Myung-Jae Lee is a scholar working on Instrumentation, Electrical and Electronic Engineering and Biophysics. According to data from OpenAlex, Myung-Jae Lee has authored 78 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Instrumentation, 27 papers in Electrical and Electronic Engineering and 22 papers in Biophysics. Recurrent topics in Myung-Jae Lee's work include Advanced Optical Sensing Technologies (46 papers), Advanced Fluorescence Microscopy Techniques (22 papers) and Ocular and Laser Science Research (14 papers). Myung-Jae Lee is often cited by papers focused on Advanced Optical Sensing Technologies (46 papers), Advanced Fluorescence Microscopy Techniques (22 papers) and Ocular and Laser Science Research (14 papers). Myung-Jae Lee collaborates with scholars based in South Korea, Switzerland and United States. Myung-Jae Lee's co-authors include Edoardo Charbon, Preethi Padmanabhan, Y. Yamashita, Woo-Young Choi, Claudio Bruschini, H. Rücker, Pengfei Sun, Ming-Lo Wu, Andrew J. Mannix and Jiwoong Park and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Nature Nanotechnology.

In The Last Decade

Myung-Jae Lee

60 papers receiving 838 citations

Peers

Countries citing papers authored by Myung-Jae Lee

Since Specialization

Citations

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

Fields of papers citing papers by Myung-Jae Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Myung-Jae Lee

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

#	Work	Indexed citations
1	Diagnostic Accuracy of a Deep Learning Algorithm for Detecting Unruptured Intracranial Aneurysms in Magnetic Resonance Angiography: A Multicenter Pivotal Trial 2025 ·World Neurosurgery ·Wi‐Sun Ryu, Sungmoon Jeong, Jaechan Park, Dougho Park, Heeyoung Kim, Myung-Jae Lee, (unknown), (unknown), (unknown), Hui Joong Lee	0
2	A High-Resolution Solid-State LiDAR Sensor With Reconfigurable Histogramming Time-to-Digital Converter and Filter for Depth Refinement 2025 ·IEEE Journal of Solid-State Circuits ·Won B. Roh, H. Seo, (unknown), (unknown), (unknown), (unknown), Myung-Jae Lee, Jung‐Hoon Chun, Seong‐Jin Kim, Jaehyuk Choi	0
3	Modeling-Based Optimization of a Single-Photon Avalanche Diode: Towards Integrated Quantum Photonics Devices Operating at Room-Temperature 2025 ·IEEE Journal of Selected Topics in Quantum Electronics ·Eunkyoung Kim, (unknown), (unknown), Joo‐Hyun Kim, (unknown), Eng-Huat Toh, Elgin Quek, (unknown), (unknown), Woo‐Young Choi, Myung-Jae Lee	0
4	A multicenter validation and calibration of automated software package for detecting anterior circulation large vessel occlusion on CT angiography 2025 ·BMC Neurology ·Kyu Sun Yum, Jong‐Won Chung, (unknown), Kwang‐Yeol Park, Dong‐Ick Shin, Hong‐Kyun Park, Yong‐Jin Cho, Keun‐Sik Hong, Jae Guk Kim, Soo Joo Lee, Joon‐Tae Kim, Woo‐Keun Seo, Oh Young Bang, Gyeong‐Moon Kim, Myung-Jae Lee, Dongmin Kim, Leonard Sunwoo, Hee‐Joon Bae, Wi‐Sun Ryu, Beom Joon Kim	0
5	Optimization of a 3.5 μm Pitch 3D-Stacked Back-Illuminated SPAD in 40 nm CIS Technology: Achieving 37% PDP at 940 nm 2025 ·(unknown), (unknown), (unknown), Joo‐Hyun Kim, (unknown), Eunkyoung Kim, (unknown), (unknown), (unknown), Jae‐Hyung Jang, (unknown), (unknown), (unknown), Myung-Jae Lee	0
6	In-silo federated learning vs. centralized learning for segmenting acute and chronic ischemic brain lesions 2025 ·Intelligence-Based Medicine ·(unknown), Hoyeon Lee, Jong-Hyeok Park, Sang Hyun Park, Myung-Jae Lee, Leonard Sunwoo, Chi Kyung Kim, Beom Joon Kim, (unknown), Wi‐Sun Ryu	0
7	A 7.2inch 5.5Mpixel 600mW SPAD X-Ray Detector with 116.7 dB Dynamic Range 2024 ·(unknown), (unknown), (unknown), Jimin Cheon, Myung-Jae Lee, Youngcheol Chae	0
8	A Compact Phase-Domain Delta–Sigma Time-to-Digital Converter With 8.5-ps Resolution for LiDAR Applications 2024 ·IEEE Solid-State Circuits Letters ·(unknown), Myung-Jae Lee, Youngcheol Chae	0
9	A 30fps $\mathbf{64}\times \mathbf{64}$ CMOS Flash LiDAR Sensor with Push-Pull Analog Counter Achieving 0.1% Depth Uncertainty at 70m Detection Range 2024 ·(unknown), (unknown), (unknown), Myung-Jae Lee, (unknown)	3
10	A 113.3-dB Dynamic Range 600 Frames/s SPAD X-Ray Detector With Seamless Global Shutter and Time-Encoded Extrapolation Counter 2023 ·IEEE Journal of Solid-State Circuits ·(unknown), (unknown), (unknown), (unknown), Myung-Jae Lee, Youngcheol Chae	3
11	Back-Illuminated SPAD in 40 nm CIS Technology Achieving 56 ps Timing Jitter With 15 V Breakdown Voltage for Short/Mid-Range LiDAR Applications 2023 ·(unknown), (unknown), Joo‐Hyun Kim, (unknown), (unknown), (unknown), (unknown), (unknown), Woo‐Young Choi, Myung-Jae Lee	0
12	A Current-Mode Optoelectronic Receiver IC for Short-Range LiDAR Sensors in 180 nm CMOS 2023 ·Photonics ·(unknown), (unknown), (unknown), (unknown), (unknown), Myung-Jae Lee, Sung‐Min Park	4
13	Improving performance robustness of subject-based brain segmentation software 2023 ·SHILAP Revista de lepidopterología ·Jong-Hyeok Park, Kyung‐Il Park, Dongmin Kim, Myung-Jae Lee, (unknown), Seung Joo Kang, Dae Hyun Yoon, (unknown)	2
14	A 64 × 64 SPAD-Based Indirect Time-of-Flight Image Sensor With 2-Tap Analog Pulse Counters 2021 ·IEEE Journal of Solid-State Circuits ·(unknown), (unknown), (unknown), (unknown), (unknown), Myung-Jae Lee, Youngcheol Chae	17
15	Study on Dynamic Behavior of Bridge Pier by Impact Load Test Considering Scour 2020 ·Applied Sciences ·Myung-Jae Lee, (unknown), (unknown), Ki Hyun Kim, (unknown)	5
16	A Modular, Direct Time-of-Flight Depth Sensor in 45/65-nm 3-D-Stacked CMOS Technology 2019 ·IEEE Journal of Solid-State Circuits ·(unknown), Preethi Padmanabhan, Myung-Jae Lee, Y. Yamashita, (unknown), Edoardo Charbon	65
17	High-Performance Back-Illuminated Three-Dimensional Stacked Single-Photon Avalanche Diode Implemented in 45-nm CMOS Technology 2018 ·IEEE Journal of Selected Topics in Quantum Electronics ·Myung-Jae Lee, (unknown), Preethi Padmanabhan, (unknown), (unknown), Y. Yamashita, (unknown), Edoardo Charbon	102
18	Machine Learning-Based Real-Time Anomaly Detection for Unmanned Aerial Vehicles with a Cloud Server 2017 ·網際網路技術學刊 ·(unknown), Myung-Jae Lee, (unknown), Sung‐Hoon Kim, Young-Guk Ha	1
19	Adsorption of ACQ components in wood. 2010 ·Myung-Jae Lee, P. H. Cooper	1
20	Evaluation of Weathering Durability of Waterborne Preservative Treated Wood by Accelerated Weathering 2003 ·Journal of the Korean Wood Science and Technology ·Myung-Jae Lee, (unknown), (unknown)	2

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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