Minjae Lee

565 total citations · 1 hit paper
16 papers, 318 citations indexed

About

Minjae Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Minjae Lee has authored 16 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Automotive Engineering. Recurrent topics in Minjae Lee's work include Advanced Neural Network Applications (3 papers), Speech Recognition and Synthesis (3 papers) and Speech and Audio Processing (2 papers). Minjae Lee is often cited by papers focused on Advanced Neural Network Applications (3 papers), Speech Recognition and Synthesis (3 papers) and Speech and Audio Processing (2 papers). Minjae Lee collaborates with scholars based in South Korea and United States. Minjae Lee's co-authors include Joon Son Chung, Soyeon Choe, Jaesung Huh, Sunghwan Jung, Bong‐Jin Lee, Seongkyu Mun, Bo Zhu, Ronald Fedkiw, Ken Museth and Seoung Bum Kim and has published in prestigious journals such as Sensors, ACM Transactions on Graphics and Information Sciences.

In The Last Decade

Minjae Lee

13 papers receiving 308 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.

In Defence of Metric Learning for Speaker Recognition

2020 232 citations Joon Son Chung, Jaesung Huh et al. arXiv (Cornell University) profile →

Peers

Minjae Lee

AI

SP

CVPR

CM

CGCD

Quan Wang China

Alexander Schmidt Germany

Seyed Mohammad Ahadi Iran

Dongsuk Yook South Korea

Wooil Kim United States

Virginia Estellers Switzerland

Youssef Oualil Germany

Sacha Krstulović France

Xiaoyu Bie France

Antti Hurmalainen Finland

Quan Wang China

Minjae Lee

90 ×0.4

AI

101 ×0.5

SP

220 ×5.1

CVPR

37 ×0.9

CM

18 ×0.7

CGCD

Citations per year, relative to Minjae Lee Minjae Lee (= 1×) peers Quan Wang

Countries citing papers authored by Minjae Lee

Since Specialization

Citations

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

Fields of papers citing papers by Minjae Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minjae Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Minjae Lee. A scholar is included among the top collaborators of Minjae 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 Minjae Lee. Minjae 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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16 of 16 papers shown

1.

Lee, Minjae, et al.. (2024). NeuralVDB: High-resolution Sparse Volume Representation using Hierarchical Neural Networks. ACM Transactions on Graphics. 43(2). 1–21. 11 indexed citations

2.

Park, Seongmin, et al.. (2024). Selectively Dilated Convolution for Accuracy-Preserving Sparse Pillar-based Embedded 3D Object Detection. 8104–8113.

3.

Lee, Minjae, Seongmin Park, Jun Won Choi, et al.. (2024). SPADE: Sparse Pillar-based 3D Object Detection Accelerator for Autonomous Driving. 454–467. 4 indexed citations

4.

Kim, Ju-ho, et al.. (2024). Self-supervised speaker verification with relational mask prediction. 2655–2659.

5.

Jung, Jee-weon, et al.. (2023). Encoder-decoder Multimodal Speaker Change Detection. 5311–5315. 2 indexed citations

6.

Lee, Minjae, et al.. (2022). Minimizing Global Buffer Access in a Deep Learning Accelerator Using a Local Register File with a Rearranged Computational Sequence. Sensors. 22(8). 3095–3095. 1 indexed citations

7.

Lee, Minjae & Seoung Bum Kim. (2022). HAPGNN: Hop-wise attentive PageRank-Based graph neural network. Information Sciences. 613. 435–452. 7 indexed citations

8.

Lee, Minjae, et al.. (2022). Visual-based Landing Guidance System of UAV with Deep Learning Technique for Environments of Visual-detection Impairment. International Journal of Control Automation and Systems. 20(5). 1735–1744. 9 indexed citations

9.

Lee, Minjae, et al.. (2021). Local intensity estimation of solar radiation with vision‐based 3D modeling of local areas through unmanned aerial vehicle. Environmental Progress & Sustainable Energy. 41(1). 1 indexed citations

10.

Lee, Lukas Jyuhn‐Hsiarn, et al.. (2021). DEMUCS-Mobile : On-Device Lightweight Speech Enhancement. 2711–2715. 3 indexed citations

11.

Chung, Joon Son, Jaesung Huh, Seongkyu Mun, et al.. (2020). In Defence of Metric Learning for Speaker Recognition. arXiv (Cornell University). 2977–2981. 232 indexed citations breakdown →

12.

Lee, Minjae, et al.. (2019). Real-time 3D Pose Estimation of Small Ring-Shaped Bin-picking Objects using Deep Learning and ICP Algorithm. Journal of Institute of Control Robotics and Systems. 25(9). 760–769. 1 indexed citations

13.

Choi, Seung-Ho, et al.. (2017). Investigating Key User Experience Factors for Virtual Reality Interactions. Journal of the Ergonomics Society of Korea. 36(4). 267–280. 3 indexed citations

14.

Lee, Minjae & Hyun-Mo Koo. (2017). The Effect of Virtual Reality-based Sitting Balance Training Program on Ability of Sitting Balance and Activities of Daily Living in Hemiplegic Patients. Journal of The Korean Society of Integrative Medicine. 5(3). 11–19. 2 indexed citations

15.

Lee, Minjae. (2016). The Effect of Virtual Reality Balance Training Program on Balance Ability and Fall Efficacy of Stroke Patients. Indian Journal of Science and Technology. 9(1). 1–5. 3 indexed citations

16.

Zhu, Bo, et al.. (2015). Codimensional non-Newtonian fluids. ACM Transactions on Graphics. 34(4). 1–9. 39 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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