Tae‐Koo Kang

640 total citations
48 papers, 437 citations indexed

About

Tae‐Koo Kang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Tae‐Koo Kang has authored 48 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 12 papers in Aerospace Engineering and 8 papers in Media Technology. Recurrent topics in Tae‐Koo Kang's work include Advanced Image and Video Retrieval Techniques (12 papers), Video Surveillance and Tracking Methods (11 papers) and Robotics and Sensor-Based Localization (10 papers). Tae‐Koo Kang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (12 papers), Video Surveillance and Tracking Methods (11 papers) and Robotics and Sensor-Based Localization (10 papers). Tae‐Koo Kang collaborates with scholars based in South Korea, Mongolia and China. Tae‐Koo Kang's co-authors include Myo Taeg Lim, Dong-Sung Pae, Myo–Taeg Lim, Yun Kyu Lee, Dong-Won Kim, Yanfeng Lu, In-Hwan Choi, Woo Jin Ahn, Gwi-Tae Park and Do‐Young Lee and has published in prestigious journals such as IEEE Access, Pattern Recognition and Neurocomputing.

In The Last Decade

Tae‐Koo Kang

45 papers receiving 418 citations

Peers

Tae‐Koo Kang
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 242
  • Cognitive Neuroscience 98
  • Experimental and Cognitive Psychology 96
  • Aerospace Engineering 58
  • Media Technology 43
Replace Paul Smith with:
Paul Smith United Kingdom
Dong-Sung Pae South Korea
Micheal Drieberg Malaysia
Luntian Mou China
Shinko Y. Cheng United States
Gowdham Prabhakar India
Byungtae Jang South Korea
Jenn-Jier James Lien Taiwan
Julie Iskander Australia
Youmei Zhang China
Paul Smith United Kingdom View profile →
Citations per field, relative to Tae‐Koo Kang
Tae‐Koo Kang · 1×
Citations per year, relative to Tae‐Koo Kang
Tae‐Koo Kang · 1×

Countries citing papers authored by Tae‐Koo Kang

Since Specialization
Citations

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

Fields of papers citing papers by Tae‐Koo Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae‐Koo 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 Tae‐Koo Kang. The network helps show where Tae‐Koo Kang may publish in the future.

Co-authorship network of co-authors of Tae‐Koo Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Tae‐Koo Kang. A scholar is included among the top collaborators of Tae‐Koo 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 Tae‐Koo Kang. Tae‐Koo 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
# Work Indexed citations
1 1
2 1
3 1
4 6
5 7
6 13
7 1
8 5
9 16
10 49
11 70
12 4
13 38
14 4
15
Factors Affecting Completion Duration of Global Mergers and Acquisitions of Korean Firms
1
16 3
17 1
18 3
19
3D vision based local obstacle avoidance method for humanoid robot
8
20 6

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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