Young‐Woo Seo

2.8k total citations
28 papers, 681 citations indexed

About

Young‐Woo Seo is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Environmental Engineering. According to data from OpenAlex, Young‐Woo Seo has authored 28 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 9 papers in Automotive Engineering and 8 papers in Environmental Engineering. Recurrent topics in Young‐Woo Seo's work include Video Surveillance and Tracking Methods (11 papers), Autonomous Vehicle Technology and Safety (9 papers) and Remote Sensing and LiDAR Applications (8 papers). Young‐Woo Seo is often cited by papers focused on Video Surveillance and Tracking Methods (11 papers), Autonomous Vehicle Technology and Safety (9 papers) and Remote Sensing and LiDAR Applications (8 papers). Young‐Woo Seo collaborates with scholars based in United States, South Korea and Taiwan. Young‐Woo Seo's co-authors include Ragunathan Rajkumar, Hyunggi Cho, B. V. K. Vijaya Kumar, Byoung‐Tak Zhang, David Wettergreen, Chris Urmson, Jongho Lee, C. Urmson, Wende Zhang and Burak Uzkent and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Field Robotics and Applied Artificial Intelligence.

In The Last Decade

Young‐Woo Seo

28 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Young‐Woo Seo United States	12	331	209	179	141	108	28	681
Michael Sokolsky United States	4	389 1.2×	407 1.9×	174 1.0×	169 1.2×	97 0.9×	6	927
Joseph Weber United States	11	646 2.0×	188 0.9×	106 0.6×	191 1.4×	48 0.4×	18	861
Marcos Nieto Spain	14	632 1.9×	346 1.7×	120 0.7×	111 0.8×	91 0.8×	82	824
De Jong Yeong Ireland	5	212 0.6×	286 1.4×	153 0.9×	86 0.6×	51 0.5×	5	708
Rubén Izquierdo Spain	16	198 0.6×	308 1.5×	46 0.3×	254 1.8×	43 0.4×	59	689
Vincent Havyarimana China	18	145 0.4×	157 0.8×	154 0.9×	200 1.4×	37 0.3×	37	920
Claudine Badué Brazil	13	260 0.8×	118 0.6×	76 0.4×	230 1.6×	33 0.3×	69	620
Sihai Tang United States	9	393 1.2×	204 1.0×	95 0.5×	161 1.1×	35 0.3×	17	704
Hao Xiang United States	14	417 1.3×	339 1.6×	117 0.7×	175 1.2×	44 0.4×	28	884

Countries citing papers authored by Young‐Woo Seo

Since Specialization

Citations

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

Fields of papers citing papers by Young‐Woo Seo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Woo Seo. 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 Young‐Woo Seo. The network helps show where Young‐Woo Seo may publish in the future.

Co-authorship network of co-authors of Young‐Woo Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Woo Seo. A scholar is included among the top collaborators of Young‐Woo Seo 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 Young‐Woo Seo. Young‐Woo Seo 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

Seo, Young‐Woo, et al.. (2019). A Tight Coupling of Vision-Lidar Measurements for an Effective Odometry. 1118–1123. 27 indexed citations

Uzkent, Burak & Young‐Woo Seo. (2018). EnKCF: Ensemble of Kernelized Correlation Filters for High-Speed Object Tracking. 1133–1141. 8 indexed citations

Seo, Young‐Woo & Myung Hwangbo. (2015). A Computer Vision System for Lateral Localization. Journal of Field Robotics. 32(7). 1004–1014. 4 indexed citations

Seo, Young‐Woo & Ragunathan Rajkumar. (2014). Detection and tracking of boundary of unmarked roads. International Conference on Information Fusion. 1–6. 14 indexed citations

Seo, Young‐Woo & Ragunathan Rajkumar. (2014). A vision system for detecting and tracking of stop-lines. 1970–1975. 7 indexed citations

Cho, Hyunggi, Young‐Woo Seo, B. V. K. Vijaya Kumar, & Ragunathan Rajkumar. (2014). A multi-sensor fusion system for moving object detection and tracking in urban driving environments. 1836–1843. 306 indexed citations

Seo, Young‐Woo & Ragunathan Rajkumar. (2014). Utilizing instantaneous driving direction for enhancing lane-marking detection. 25. 170–175. 20 indexed citations

Seo, Young‐Woo, Jongho Lee, Wende Zhang, & David Wettergreen. (2014). Recognition of Highway Workzones for Reliable Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 1–11. 31 indexed citations

Seo, Young‐Woo & Ragunathan Rajkumar. (2014). Tracking and estimation of ego-vehicle's state for lateral localization. 1251–1257. 19 indexed citations

10.

Lee, Jongho, Young‐Woo Seo, Wende Zhang, & David Wettergreen. (2013). Kernel-based traffic sign tracking to improve highway workzone recognition for reliable autonomous driving. 25. 1131–1136. 9 indexed citations

11.

Seo, Young‐Woo, Chris Urmson, & David Wettergreen. (2012). Ortho-image analysis for producing lane-level highway maps. Figshare. 506–509. 8 indexed citations

12.

Seo, Young‐Woo, C. Urmson, David Wettergreen, & Jin Woo Lee. (2010). Building lane-graphs for autonomous parking. 6052–6057. 5 indexed citations

13.

Seo, Young‐Woo, Nathan Ratliff, & Chris Urmson. (2009). Self-supervised aerial image analysis for extracting parking lot structure. International Joint Conference on Artificial Intelligence. 1837–1842. 8 indexed citations

14.

Seo, Young‐Woo & Chris Urmson. (2009). Utilizing prior information to enhance self-supervised aerial image analysis for extracting parking lot structures. 339–344. 18 indexed citations

15.

Seo, Young‐Woo, Chris Urmson, David Wettergreen, & Jin Woo Lee. (2009). Augmenting cartographic resources for autonomous driving. 13–22. 4 indexed citations

16.

Seo, Young‐Woo & C. Urmson. (2008). A perception mechanism for supporting autonomous intersection handling in urban driving. 1830–1835. 15 indexed citations

17.

Giampapa, Joseph, Katia Sycara, Robin Glinton, et al.. (2005). An agent-based C4ISR testbed. 80. 8 pp.–8 pp.. 3 indexed citations

18.

Zhang, Byoung‐Tak & Young‐Woo Seo. (2001). Personalized web-document filtering using reinforcement learning. Applied Artificial Intelligence. 15(7). 665–685. 34 indexed citations

19.

Seo, Young‐Woo & Byoung‐Tak Zhang. (2000). A reinforcement learning agent for personalized information filtering. 248–251. 48 indexed citations

20.

Seo, Young‐Woo & Byoung‐Tak Zhang. (2000). Learning user's preferences by analyzing Web-browsing behaviors. 381–387. 45 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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