Chulhoon Jang

733 total citations
11 papers, 557 citations indexed

About

Chulhoon Jang is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Environmental Engineering. According to data from OpenAlex, Chulhoon Jang has authored 11 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Automotive Engineering and 3 papers in Environmental Engineering. Recurrent topics in Chulhoon Jang's work include Autonomous Vehicle Technology and Safety (6 papers), Robotic Path Planning Algorithms (4 papers) and Video Surveillance and Tracking Methods (3 papers). Chulhoon Jang is often cited by papers focused on Autonomous Vehicle Technology and Safety (6 papers), Robotic Path Planning Algorithms (4 papers) and Video Surveillance and Tracking Methods (3 papers). Chulhoon Jang collaborates with scholars based in South Korea. Chulhoon Jang's co-authors include Myoungho Sunwoo, Kichun Jo, Dongchul Kim, Junsoo Kim, Chansoo Kim, Minchae Lee, Seongjin Lee, Jae Kyu Suhr, Ho Gi Jung and Joon‐Hyuk Chang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Chulhoon Jang

11 papers receiving 534 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chulhoon Jang 295 209 134 131 80 11 557
Junsoo Kim 439 1.5× 228 1.1× 194 1.4× 134 1.0× 99 1.2× 18 705
Manato Hirabayashi 196 0.7× 195 0.9× 82 0.6× 81 0.6× 99 1.2× 16 496
You Hong Eng 366 1.2× 252 1.2× 187 1.4× 68 0.5× 111 1.4× 13 647
De Jong Yeong 286 1.0× 212 1.0× 116 0.9× 142 1.1× 153 1.9× 5 708
Florian Kuhnt 373 1.3× 171 0.8× 161 1.2× 79 0.6× 70 0.9× 17 519
Abraham Monrroy 232 0.8× 223 1.1× 81 0.6× 87 0.7× 151 1.9× 10 574
Michael Aeberhard 529 1.8× 212 1.0× 248 1.9× 99 0.8× 89 1.1× 20 731
Yuki Kitsukawa 182 0.6× 148 0.7× 77 0.6× 71 0.5× 119 1.5× 8 439
Chris Urmson 473 1.6× 491 2.3× 187 1.4× 68 0.5× 172 2.1× 21 822
Ciarán Hughes 159 0.5× 478 2.3× 66 0.5× 229 1.7× 116 1.4× 24 847

Countries citing papers authored by Chulhoon Jang

Since Specialization
Citations

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

Fields of papers citing papers by Chulhoon Jang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chulhoon Jang

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

All Works

11 of 11 papers shown
1.
Kim, Chansoo, et al.. (2020). Deep learning-based dynamic object classification using LiDAR point cloud augmented by layer-based accumulation for intelligent vehicles. Expert Systems with Applications. 167. 113861–113861. 18 indexed citations
2.
Jang, Chulhoon, et al.. (2019). Re-Plannable Automated Parking System With a Standalone Around View Monitor for Narrow Parking Lots. IEEE Transactions on Intelligent Transportation Systems. 21(2). 777–790. 43 indexed citations
4.
Kim, Chansoo, et al.. (2019). Evidence Filter of Semantic Segmented Image From Around View Monitor in Automated Parking System. IEEE Access. 7. 92791–92804. 10 indexed citations
5.
Jang, Chulhoon, et al.. (2017). Traffic light recognition exploiting map and localization at every stage. Expert Systems with Applications. 88. 290–304. 30 indexed citations
6.
Jang, Chulhoon, Chansoo Kim, Kichun Jo, & Myoungho Sunwoo. (2016). Design factor optimization of 3D flash lidar sensor based on geometrical model for automated vehicle and advanced driver assistance system applications. International Journal of Automotive Technology. 18(1). 147–156. 24 indexed citations
7.
Jo, Kichun, Junsoo Kim, Dongchul Kim, Chulhoon Jang, & Myoungho Sunwoo. (2015). Development of Autonomous Car—Part II: A Case Study on the Implementation of an Autonomous Driving System Based on Distributed Architecture. IEEE Transactions on Industrial Electronics. 62(8). 5119–5132. 184 indexed citations
8.
Jang, Chulhoon, Chansoo Kim, Dongchul Kim, Minchae Lee, & Myoungho Sunwoo. (2014). Multiple exposure images based traffic light recognition. 1313–1318. 33 indexed citations
9.
Jo, Kichun, Junsoo Kim, Dongchul Kim, Chulhoon Jang, & Myoungho Sunwoo. (2014). Development of Autonomous Car—Part I: Distributed System Architecture and Development Process. IEEE Transactions on Industrial Electronics. 61(12). 7131–7140. 200 indexed citations
10.
Jo, Kichun, Minchae Lee, Dongchul Kim, et al.. (2013). Overall Reviews of Autonomous Vehicle A1 - System Architecture and Algorithms. IFAC Proceedings Volumes. 46(10). 114–119. 11 indexed citations
11.
Jang, Chulhoon, et al.. (2012). An Information Fusion-based Vision System for an Autonomous Vehicle. 한국자동차공학회 추계학술대회 및 전시회. 1–4. 2 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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