Dae-Seong Kang

424 total citations
76 papers, 279 citations indexed

About

Dae-Seong Kang is a scholar working on Computer Vision and Pattern Recognition, Civil and Structural Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Dae-Seong Kang has authored 76 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 10 papers in Civil and Structural Engineering and 10 papers in Industrial and Manufacturing Engineering. Recurrent topics in Dae-Seong Kang's work include Video Surveillance and Tracking Methods (16 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Advanced Neural Network Applications (10 papers). Dae-Seong Kang is often cited by papers focused on Video Surveillance and Tracking Methods (16 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Advanced Neural Network Applications (10 papers). Dae-Seong Kang collaborates with scholars based in South Korea, United States and China. Dae-Seong Kang's co-authors include Norman C. Griswold, Nasser Kehtarnavaz, Gi‐Woo Kim, Daijin Kim, Jong-Ho Sun, Jungho Shin, Jong-Dae Park, Jung‐Hyun Park, Jungyu Park and Sang‐June Park and has published in prestigious journals such as Neurocomputing, Multimedia Tools and Applications and Machine Vision and Applications.

In The Last Decade

Dae-Seong Kang

39 papers receiving 221 citations

Peers

Dae-Seong Kang
Jae-Han Lee South Korea
Changjae Oh United Kingdom
Zhongbo Li China
Zhize Wu China
Rui Pimentel de Figueiredo Portugal
Gou Koutaki Japan
Shunichiro Oe Japan
Yongqiang Bai China
Jae-Han Lee South Korea
Dae-Seong Kang
Citations per year, relative to Dae-Seong Kang Dae-Seong Kang (= 1×) peers Jae-Han Lee

Countries citing papers authored by Dae-Seong Kang

Since Specialization
Citations

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

Fields of papers citing papers by Dae-Seong Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae-Seong Kang. 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 Dae-Seong Kang. The network helps show where Dae-Seong Kang may publish in the future.

Co-authorship network of co-authors of Dae-Seong Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Dae-Seong Kang. A scholar is included among the top collaborators of Dae-Seong Kang 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 Dae-Seong Kang. Dae-Seong Kang 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.
Kang, Dae-Seong, et al.. (2024). A Study on Pedestrian Detection Method for Crowd Density Analysis. The Journal of Korean Institute of Information Technology. 22(3). 1–9.
2.
Kang, Dae-Seong, et al.. (2022). NRP-Sys: Nonlinear Regression Prediction System for YOLO-based Separation Detection of Identical Objects. The Journal of Korean Institute of Information Technology. 20(3). 9–17.
3.
Kang, Dae-Seong, et al.. (2021). CoS: An Emphasized Smooth Non-Monotonic Activation Function Consisting of Sigmoid For Deep Learning. The Journal of Korean Institute of Information Technology. 19(1). 1–9. 3 indexed citations
4.
Kang, Dae-Seong, et al.. (2021). U-OLANet : Low-Resolution One-Layer Attention Neural Networks for Image Denoising. The Journal of Korean Institute of Information Technology. 19(9). 1–9.
5.
Kang, Dae-Seong, et al.. (2021). RFDSys: Real-time Fire Detection System using AIoT-based K-NN and Motion Detection. The Journal of Korean Institute of Information Technology. 19(10). 115–123.
6.
Kang, Dae-Seong, et al.. (2021). An Algorithm for the Determination of Twisted Rebar using Feature Matching. The Journal of Korean Institute of Information Technology. 19(2). 21–28. 2 indexed citations
7.
Kang, Dae-Seong, et al.. (2020). A Method for Improving Learning Convergence Curve and Learning Time of DA-FSL Model using Knowledge Distillation. The Journal of Korean Institute of Information Technology. 18(10). 25–32. 2 indexed citations
8.
Kang, Dae-Seong, et al.. (2019). Real Time Object Detection Based on YOLO with Feature Filter Bank. The Journal of Korean Institute of Information Technology. 17(5). 91–97. 1 indexed citations
9.
Kang, Dae-Seong, et al.. (2019). Implementation of Rotating Invariant Multi Object Detection System Applying MI-FL Based on SSD Algorithm. The Journal of Korean Institute of Information Technology. 17(5). 13–20. 1 indexed citations
10.
Kang, Dae-Seong, et al.. (2017). A Study on Tracking-Learning-Detection Algorithm and Learning Algorithm for Object Detection System Development. The Journal of Korean Institute of Information Technology. 15(12). 139–145.
11.
Kang, Dae-Seong, et al.. (2013). Implementation of Remote Condition Monitoring System of Offshore Wind Turbine Based on NI WSN. International Journal of Control and Automation. 6(2). 325–334. 6 indexed citations
12.
Kang, Dae-Seong, et al.. (2012). The Implementation of Monitoring Service System using Vital Sign Information of Patient. The Journal of Korean Institute of Information Technology. 10(3). 91–96. 1 indexed citations
13.
Park, Sang‐June, et al.. (2011). A Study on Object Tracking Algorithm Using Fast Corner Detection. 36–40. 1 indexed citations
14.
Park, Jong-Dae, et al.. (2011). Robust Multi-object Tracker Based on Feature Point Particle Filter Algorithm. 426–430.
15.
Kang, Dae-Seong, et al.. (2010). Object Tracking Method based on Particle Filter with Color and Texture Information. The Journal of Korean Institute of Information Technology. 8(11). 225–230. 1 indexed citations
16.
Kang, Dae-Seong, et al.. (2009). An Implementation of Interpolation Algorithm and Complementary Color Algorithm for HUD. The Journal of Korean Institute of Information Technology. 7(2). 83–88. 2 indexed citations
17.
Kang, Dae-Seong, et al.. (2009). A Study of Efficient Background Extraction for Moving Objects Detection in an Outdoor Environment.. IPCV. 627–631. 1 indexed citations
18.
Kang, Dae-Seong, et al.. (2008). An implementation of the video retrieval system by video segmentation. Asia-Pacific Conference on Communications. 1–5. 3 indexed citations
19.
Sun, Jong-Ho, et al.. (2007). Application of gas sensor for measuring dissolved hydrogen gas in oil. 125–127.
20.
Kang, Dae-Seong, et al.. (2005). Development of Learning Algorithm using Brain Modeling of Hippocampus for Face Recognition. Journal of the Institute of Electronics Engineers of Korea. 42(5). 55–62. 3 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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