Gitae Kang

461 citations
20 papers · 360 · h-index 10

Impact in

    • Robot Manipulation and Learning
    • Robotic Mechanisms and Dynamics
    • Muscle activation and electromyography studies
    • Soft Robotics and Applications
    • Prosthetics and Rehabilitation Robotics
    • Advanced Sensor and Energy Harvesting Materials

Papers in

Gitae Kang

17 papers receiving 348 citations

Peers

Gitae Kang
Comparison fields: 5 of 50
  • Control and Systems Engineering 210
  • Biomedical Engineering 185
  • Computer Vision and Pattern Recognition 60
  • Mechanical Engineering 96
  • Human-Computer Interaction 11
Replace Lorenzo Moriello with:
Lorenzo Moriello Italy
Hyun Seok Oh South Korea
Naveen Suresh Kuppuswamy Switzerland
Daniel Kubus Germany
Dong-Yeop Seok South Korea
Nicola Preda Italy
Shigeyuki Hosoe Japan
Haitham El-Hussieny Egypt
Auralius Oberman Manurung Indonesia
Fengfeng Jeff Xi Canada
Gitae Kang relative to Lorenzo Moriello Italy Lorenzo Moriello's profile →
Citations per field
00.5×1.6×
Lorenzo Moriello · 1×
Citations per year

Countries citing papers authored by Gitae Kang

Since Specialization
Citations

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

Fields of papers citing papers by Gitae Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Gitae Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gitae Kang Line = papers co-authored together Gitae Kang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2019101
2 201854
3 202047
4 201934
5 202029
6 201816
7 201915
8 202215
9 201712
10 201610
11 20217
12 20175
13 20174
14 20154
15 20163
16 20152
17 20171
18 20151
19 20110
20 20150

About Gitae Kang

Gitae Kang is a scholar working on Control and Systems Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Mechanical Engineering, having authored 20 papers that have together received 360 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (16 papers), Robotic Mechanisms and Dynamics (7 papers), Prosthetics and Rehabilitation Robotics (6 papers), Soft Robotics and Applications (5 papers), Muscle activation and electromyography studies (4 papers), Industrial Vision Systems and Defect Detection (2 papers), Robotics and Sensor-Based Localization (2 papers) and Robotic Path Planning Algorithms (2 papers). The work is most often cited by research in Control and Systems Engineering (210 citations), Biomedical Engineering (185 citations), Computer Vision and Pattern Recognition (60 citations), Mechanical Engineering (96 citations) and Human-Computer Interaction (11 citations). Gitae Kang has collaborated with scholars based in South Korea and United States. Frequent co-authors include Hyouk Ryeol Choi, Hyun Seok Oh, Uikyum Kim, Young Hun Lee, Yong Bum Kim, Tien Dat Nguyen, Taesung Kim, Hoa Phung, Dong-Yeop Seok and Seung Yeon Lee. Their work appears in journals such as Intelligent Service Robotics, IEEE Transactions on Industrial Electronics, IEEE/ASME Transactions on Mechatronics, IEEE Sensors Journal and IEEE Robotics and Automation Letters.

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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