Daewon Lee

1.2k total citations
34 papers, 743 citations indexed

About

Daewon Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Daewon Lee has authored 34 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Daewon Lee's work include Gene Regulatory Network Analysis (6 papers), Face and Expression Recognition (5 papers) and Music and Audio Processing (3 papers). Daewon Lee is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), Face and Expression Recognition (5 papers) and Music and Audio Processing (3 papers). Daewon Lee collaborates with scholars based in South Korea, United States and United Kingdom. Daewon Lee's co-authors include Jaewook Lee, Jaewook Lee, Kwang‐Hyun Cho, H.S. Cho, Matthias Hofmann, Yasemin Altün, Florian Steinke, Bernhard Schölkopf, Kyu-Hwan Jung and Nathan D. Cahill and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Daewon Lee

32 papers receiving 698 citations

Peers

Daewon Lee

CVPR

CSE

Saúl Solorio-Fernández Mexico

Hui-Huang Hsu Taiwan

Hossein Ebrahimpour-Komleh Iran

R. Bharat Rao Germany

Olaide N. Oyelade Nigeria

David R. Musicant United States

Geok See Ng Singapore

Jan N. van Rijn Netherlands

Saúl Solorio-Fernández Mexico

Daewon Lee

366 ×1.0

214 ×0.8

CVPR

82 ×0.8

46 ×0.6

CSE

69 ×0.9

Citations per year, relative to Daewon Lee Daewon Lee (= 1×) peers Saúl Solorio-Fernández

Countries citing papers authored by Daewon Lee

Since Specialization

Citations

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

Fields of papers citing papers by Daewon Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daewon Lee

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

Yang, Zhijian, et al.. (2024). Low-cost Refrigerator Frost Detection using Piezoelectric Sensors. 3530–3535. 1 indexed citations

Kim, Junil, et al.. (2024). FastTENET: an accelerated TENET algorithm based on manycore computing in Python. Bioinformatics. 40(12).

Lee, Jeong Kyu, et al.. (2024). Automated eyeball volume measurement based on CT images using neural network-based segmentation and simple estimation. Scientific Reports. 14(1). 15094–15094. 2 indexed citations

Lee, Daewon. (2023). LPF: a framework for exploring the wing color pattern formation of ladybird beetles in Python. Bioinformatics. 39(7). 1 indexed citations

Bukhari, Maryam, et al.. (2023). A Novel Framework for Melanoma Lesion Segmentation Using Multiparallel Depthwise Separable and Dilated Convolutions with Swish Activations. Journal of Healthcare Engineering. 2023(1). 1847115–1847115. 10 indexed citations

Lee, Daewon, et al.. (2023). A review on gene regulatory network reconstruction algorithms based on single cell RNA sequencing. Genes & Genomics. 46(1). 1–11. 7 indexed citations

Lee, Daewon, et al.. (2021). Reflectance transformation imaging for documenting changes through treatment of Joseon dynasty coins. Heritage Science. 9(1). 9 indexed citations

Lee, Daewon, et al.. (2020). Deep Audio Steganalysis in Time Domain. 11–21. 5 indexed citations

Fan, Xiaoran, Daewon Lee, Yuan Chen, et al.. (2020). Acoustic Collision Detection and Localization for Robot Manipulators. 9529–9536. 14 indexed citations

10.

Lee, Daewon & Jong Hyuk Park. (2019). Future Trends of AI-based Smart Systems and Services: Challenges, Opportunities, and Solutions. Journal of Information Processing Systems. 15(4). 717–723. 3 indexed citations

11.

Lee, Daewon & Kwang‐Hyun Cho. (2019). Signal flow control of complex signaling networks. Scientific Reports. 9(1). 14289–14289. 5 indexed citations

12.

Lee, Daewon & Kwang‐Hyun Cho. (2018). Topological estimation of signal flow in complex signaling networks. Scientific Reports. 8(1). 5262–5262. 13 indexed citations

13.

Yu, Heonchang, et al.. (2017). Optimizing Parallelism of Big Data Analytics at Distributed Computing System. International Journal on Advanced Science Engineering and Information Technology. 7(5). 1716–1716. 5 indexed citations

14.

Kim, Yong Ho, Young‐Woo Lim, Daewon Lee, Yun Hyeok Kim, & Byeong‐Soo Bae. (2016). A highly adhesive siloxane LED encapsulant optimized for high thermal stability and optical efficiency. Journal of Materials Chemistry C. 4(46). 10791–10796. 19 indexed citations

15.

Lee, Daewon, et al.. (2015). Precritical State Transition Dynamics in the Attractor Landscape of a Molecular Interaction Network Underlying Colorectal Tumorigenesis. PLoS ONE. 10(10). e0140172–e0140172. 11 indexed citations

16.

Lee, Daewon, Minjin Kim, & Kwang‐Hyun Cho. (2014). A design principle underlying the paradoxical roles of E3 ubiquitin ligases. Scientific Reports. 4(1). 5573–5573. 8 indexed citations

17.

Lee, Daewon, Kyu-Hwan Jung, & Jaewook Lee. (2009). Constructing Sparse Kernel Machines Using Attractors. IEEE Transactions on Neural Networks. 20(4). 721–729. 27 indexed citations

18.

Lee, Daewon, et al.. (2007). A novel method for measuring semantic similarity for XML schema matching. Expert Systems with Applications. 34(3). 1651–1658. 40 indexed citations

19.

Lee, Daewon, et al.. (2007). A Variable Selection Procedure for X-ray Diffraction Phase Analysis. Applied Spectroscopy. 61(12). 1398–1403. 11 indexed citations

20.

Lee, Jaewook & Daewon Lee. (2006). Dynamic Characterization of Cluster Structures for Robust and Inductive Support Vector Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(11). 1869–1874. 118 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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