Youngjoon Han

680 total citations
37 papers, 443 citations indexed

About

Youngjoon Han is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Youngjoon Han has authored 37 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 8 papers in Biomedical Engineering and 5 papers in Automotive Engineering. Recurrent topics in Youngjoon Han's work include Video Surveillance and Tracking Methods (9 papers), Advanced Vision and Imaging (6 papers) and Image and Object Detection Techniques (5 papers). Youngjoon Han is often cited by papers focused on Video Surveillance and Tracking Methods (9 papers), Advanced Vision and Imaging (6 papers) and Image and Object Detection Techniques (5 papers). Youngjoon Han collaborates with scholars based in South Korea, United States and United Arab Emirates. Youngjoon Han's co-authors include Hernsoo Hahn, H. Hahn, Xiang‐Shun Cui, Dingxiao Zhang, Xing‐Hui Shen, Nam‐Hyung Kim, Sang‐Bum Park, Haewook Han, Andreas Schiffer and H. Park and has published in prestigious journals such as Journal of Applied Physics, Sensors and Pattern Recognition Letters.

In The Last Decade

Youngjoon Han

33 papers receiving 413 citations

Peers

Youngjoon Han
Comparison fields: 5 of 85
  • Computer Vision and Pattern Recognition 269
  • Automotive Engineering 124
  • Media Technology 61
  • Environmental Engineering 52
  • Biomedical Engineering 48
Replace Hernsoo Hahn with:
Hernsoo Hahn South Korea
Weibin Yang China
Kaiqi Liu China
Zehao Yu China
Kunyu Peng Germany
Tao Deng China
Moataz M. Abdelwahab Egypt
Kibaek Park South Korea
Farzeen Munir South Korea
Hernsoo Hahn South Korea View profile →
Citations per field, relative to Youngjoon Han
Youngjoon Han · 1×
Citations per year, relative to Youngjoon Han
Youngjoon Han · 1×

Countries citing papers authored by Youngjoon Han

Since Specialization
Citations

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

Fields of papers citing papers by Youngjoon Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngjoon Han

This figure shows the co-authorship network connecting the top 25 collaborators of Youngjoon Han. A scholar is included among the top collaborators of Youngjoon Han 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 Youngjoon Han. Youngjoon Han 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
# Work Indexed citations
1 2
2 2
3 7
4 8
5 14
6
Vision-based navigation using top-view transform and beam-ray model
1
7
Lane and Curvature Detection Algorithm based on the Curve Template Matching Method using Top View Image
2
8 2
9
Effective scheme of measuring the displacement between wheel and rail of active steering bogie using computer vision system
2
10 5
11 39
12 1
13 41
14 11
15 7
16 7
17 4
18
Pose estimation of top object on stack of elliptical objects based on ellipse fitting and Kalman estimator
3
19
Remote detection and monitoring of a water level using narrow band channel
3
20
Ellipse detection using a randomized hough transform based on edge segment merging scheme
11

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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