Sang Jun Lee

1.1k total citations
60 papers, 846 citations indexed

About

Sang Jun Lee is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Aerospace Engineering. According to data from OpenAlex, Sang Jun Lee has authored 60 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 13 papers in Industrial and Manufacturing Engineering and 12 papers in Aerospace Engineering. Recurrent topics in Sang Jun Lee's work include Advanced Vision and Imaging (15 papers), Industrial Vision Systems and Defect Detection (13 papers) and Image and Object Detection Techniques (11 papers). Sang Jun Lee is often cited by papers focused on Advanced Vision and Imaging (15 papers), Industrial Vision Systems and Defect Detection (13 papers) and Image and Object Detection Techniques (11 papers). Sang Jun Lee collaborates with scholars based in South Korea and United States. Sang Jun Lee's co-authors include Jong Pil Yun, Sang Woo Kim, Gyogwon Koo, WooSang Shin, Min Su Kim, Chungki Lee, Sang M. Lee, Jae Wook Jeon, Vinh Dinh Nguyen and Doo-chul Choi and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Sang Jun Lee

57 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang Jun Lee South Korea 15 359 307 140 103 95 60 846
Jinan Gu China 15 212 0.6× 296 1.0× 139 1.0× 96 0.9× 30 0.3× 46 742
Song Zheng China 18 1.0k 2.9× 264 0.9× 89 0.6× 62 0.6× 38 0.4× 60 1.6k
Mahdi Rezaei Iran 16 397 1.1× 49 0.2× 77 0.6× 87 0.8× 130 1.4× 60 981
Jiacheng Xie China 19 120 0.3× 158 0.5× 217 1.6× 59 0.6× 97 1.0× 107 887
Ottar L. Osen Norway 13 169 0.5× 150 0.5× 90 0.6× 47 0.5× 83 0.9× 57 822
Jianzhong Yang China 15 136 0.4× 296 1.0× 265 1.9× 46 0.4× 46 0.5× 63 783
Guofu Yin China 24 263 0.7× 419 1.4× 824 5.9× 91 0.9× 76 0.8× 110 1.6k
Hao Dong China 9 164 0.5× 196 0.6× 103 0.7× 42 0.4× 26 0.3× 23 633
Eko Mulyanto Yuniarno Indonesia 13 236 0.7× 64 0.2× 84 0.6× 80 0.8× 19 0.2× 199 842
Hu Su China 14 242 0.7× 198 0.6× 74 0.5× 40 0.4× 31 0.3× 72 638

Countries citing papers authored by Sang Jun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Sang Jun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang Jun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Jun Lee. A scholar is included among the top collaborators of Sang Jun 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 Sang Jun Lee. Sang Jun Lee 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.
Choi, Jiho, et al.. (2025). PFSH-Net: Parallel frequency-spatial hybrid network for segmentation of kidney stones in pre-contrast computed tomography images of dogs. Computers in Biology and Medicine. 186. 109609–109609. 2 indexed citations
2.
Choi, Jiho & Sang Jun Lee. (2024). Neural Radiance Fields for Fisheye Driving Scenes Using Edge-Aware Integrated Depth Supervision. Sensors. 24(21). 6790–6790.
3.
Lee, Sang Jun, et al.. (2024). A New Multimodal Map Building Method Using Multiple Object Tracking and Gaussian Process Regression. Remote Sensing. 16(14). 2622–2622. 2 indexed citations
4.
Song, Jimin & Sang Jun Lee. (2023). Knowledge distillation of multi-scale dense prediction transformer for self-supervised depth estimation. Scientific Reports. 13(1). 18939–18939. 3 indexed citations
5.
Choi, Jiho, et al.. (2023). Monocular Depth Estimation from a Fisheye Camera Based on Knowledge Distillation. Sensors. 23(24). 9866–9866. 4 indexed citations
6.
Lee, Sang Jun, et al.. (2023). A deep learning model for automated kidney calculi detection on non-contrast computed tomography scans in dogs. Frontiers in Veterinary Science. 10. 1236579–1236579. 6 indexed citations
7.
Choi, Jiho & Sang Jun Lee. (2022). Weakly Supervised Learning for Transmission Line Detection Using Unpaired Image-to-Image Translation. Remote Sensing. 14(14). 3421–3421. 3 indexed citations
8.
Lee, Jong-Hyeok, et al.. (2022). A pixel-level coarse-to-fine image segmentation labelling algorithm. Scientific Reports. 12(1). 8672–8672. 5 indexed citations
9.
Kwon, Wookyong, et al.. (2021). Collision Identification of Collaborative Robots Using a Deep Neural Network. 16(2). 35–41. 1 indexed citations
10.
Yun, Jong Pil, et al.. (2019). Automatic defect inspection system for steel products with exhaustive dynamic encoding algorithm for searches. Optical Engineering. 58(2). 23107. 5 indexed citations
11.
12.
Koo, Gyogwon, Sang Jun Lee, & Sang‐Woo Kim. (2017). 딥 러닝을 이용한 빌렛 번호 인식 알고리즘. Journal of Institute of Control Robotics and Systems. 23(6). 411–415.
13.
Lee, Sang Jun & Sang Woo Kim. (2017). Localization of the slab information in factory scenes using deep convolutional neural networks. Expert Systems with Applications. 77. 34–43. 19 indexed citations
14.
Nguyen, Vinh Dinh, Hau Van Nguyen, Thi Dinh Tran, Sang Jun Lee, & Jae Wook Jeon. (2016). Learning Framework for Robust Obstacle Detection, Recognition, and Tracking. IEEE Transactions on Intelligent Transportation Systems. 1–14. 52 indexed citations
15.
Lee, Sang Jun, Yong-Ju Jeon, & Sang Woo Kim. (2015). Analyzing Refractory Bricks of Ladles using Infrared Images. Journal of Institute of Control Robotics and Systems. 21(4). 291–300. 1 indexed citations
16.
Nguyen, Vinh Dinh, Thuy Tuong Nguyen, Dung Nguyen, Sang Jun Lee, & Jae Wook Jeon. (2013). A Fast Evolutionary Algorithm for Real-Time Vehicle Detection. IEEE Transactions on Vehicular Technology. 62(6). 2453–2468. 30 indexed citations
17.
Lee, Sang Jun, et al.. (2012). Hardware architecture for detecting laser point using FPGA. International Conference on Control, Automation and Systems. 199–203. 2 indexed citations
18.
Nguyen, Vinh Dinh, et al.. (2012). FPGA design and implementation of a real-time vehicle detection system. International Conference on Control, Automation and Systems. 204–207. 1 indexed citations
19.
Rao, V. Srinivasan & Sang Jun Lee. (2007). Responses to Trust Violation: A Theoretical Framework. Journal of Computer Information Systems. 48(1). 76–87. 5 indexed citations
20.
Lee, Sang M. & Sang Jun Lee. (2005). Consumers' Initial Trust toward Second-Hand Products in the Electronic Market. Journal of Computer Information Systems. 46(2). 85–98. 60 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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