Seokjae Lim

650 total citations
5 papers, 398 citations indexed

About

Seokjae Lim is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Seokjae Lim has authored 5 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Media Technology and 1 paper in Cognitive Neuroscience. Recurrent topics in Seokjae Lim's work include Image Processing Techniques and Applications (2 papers), Advanced Image Processing Techniques (2 papers) and Teleoperation and Haptic Systems (1 paper). Seokjae Lim is often cited by papers focused on Image Processing Techniques and Applications (2 papers), Advanced Image Processing Techniques (2 papers) and Teleoperation and Haptic Systems (1 paper). Seokjae Lim collaborates with scholars based in South Korea. Seokjae Lim's co-authors include Wonjun Kim, Jin Kim, Sangrae Cho and Ki‐Uk Kyung and has published in prestigious journals such as IEEE Access, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia.

In The Last Decade

Seokjae Lim

4 papers receiving 386 citations

Peers

Seokjae Lim
Feifan Lv China
Nikolay Kobyshev Switzerland
Hai Jiang China
Yuda Song China
Tao Gao China
Feifan Lv China
Seokjae Lim
Citations per year, relative to Seokjae Lim Seokjae Lim (= 1×) peers Feifan Lv

Countries citing papers authored by Seokjae Lim

Since Specialization
Citations

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

Fields of papers citing papers by Seokjae Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seokjae Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Seokjae Lim. A scholar is included among the top collaborators of Seokjae Lim 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 Seokjae Lim. Seokjae Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Lim, Seokjae, et al.. (2025). STEM: A Soft Tactile Electromagnetic Actuator for Multimodal Haptic Feedback in Virtual Environments. IEEE Robotics and Automation Letters. 10(10). 9798–9805.
2.
Lim, Seokjae, et al.. (2021). Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals. IEEE Transactions on Circuits and Systems for Video Technology. 31(11). 4381–4393. 184 indexed citations
3.
Lim, Seokjae & Wonjun Kim. (2020). DSLR: Deep Stacked Laplacian Restorer for Low-Light Image Enhancement. IEEE Transactions on Multimedia. 23. 4272–4284. 194 indexed citations
4.
Lim, Seokjae, Jin Kim, & Wonjun Kim. (2020). Deep Spectral-Spatial Network for Single Image Deblurring. IEEE Signal Processing Letters. 27. 835–839. 12 indexed citations
5.
Lim, Seokjae, et al.. (2020). One-Class Learning Method Based on Live Correlation Loss for Face Anti-Spoofing. IEEE Access. 8. 201635–201648. 8 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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