H.S. Cho

38 papers receiving 288 citations

Peers

H.S. Cho
Comparison fields: 5 of 59
  • Industrial and Manufacturing Engineering 115
  • Control and Systems Engineering 87
  • Management of Technology and Innovation 24
  • Computer Vision and Pattern Recognition 65
  • Management Information Systems 22
Replace Thomas Greiner with:
Thomas Greiner Germany
Simon Wiedemann Germany
Pravir Chawdhry United Kingdom
Haw‐Ching Yang Taiwan
Cheng Pang Sweden
Bélahcène Mazari France
Jinfei Shi China
Tzyy‐Shuh Chang United States
Jiaxing Wang China
H.S. Cho relative to Thomas Greiner Germany Thomas Greiner's profile →
Citations per field
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Thomas Greiner · 1×
Citations per year

Countries citing papers authored by H.S. Cho

Since Specialization
Citations

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

Fields of papers citing papers by H.S. Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H.S. Cho. 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 H.S. Cho. The network helps show where H.S. Cho may publish in the future.

Co-authors

The 25 scholars most cited alongside H.S. Cho, 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 H.S. Cho Line = papers co-authored together H.S. Cho links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199553
2 200740
3 200926
4 199623
5 198819
6 199717
7 200516
8 199912
9 199810
10 20229
11 20229
12 19839
13 19966
14 20036
15 20026
16 19965
17 19915
18 20025
19 19944
20 20024

About H.S. Cho

H.S. Cho is a scholar working on Control and Systems Engineering, Mechanical Engineering, Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 321 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (10 papers), Manufacturing Process and Optimization (8 papers), Industrial Vision Systems and Defect Detection (6 papers), Teleoperation and Haptic Systems (4 papers), Robotic Path Planning Algorithms (4 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers), Robotics and Sensor-Based Localization (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (115 citations), Control and Systems Engineering (87 citations), Management of Technology and Innovation (24 citations), Computer Vision and Pattern Recognition (65 citations) and Management Information Systems (22 citations). H.S. Cho has collaborated with scholars based in South Korea, Japan and Spain. Frequent co-authors include H.R. Beom, Jaewook Lee, Wan Kyun Chung, Daewon Lee, Chi‐Wan Lee, J.Y. Kim, Youngsu Cha, Dae Gab Gweon, Premkumar Vincent and F. Miyazaki. Their work appears in journals such as IEEE Journal of the Electron Devices Society, Mechatronics, Engineering Applications of Artificial Intelligence, Expert Systems with Applications and Optics and Lasers in Engineering.

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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