Kil-Houm Park

858 citations
74 papers · 506 indexed · h-index 13

Kil-Houm Park

60 papers receiving 448 citations

Peers

Kil-Houm Park
Comparison fields: 5 of 77
  • Computer Vision and Pattern Recognition 261
  • Industrial and Manufacturing Engineering 114
  • Media Technology 85
  • Human-Computer Interaction 51
  • Signal Processing 66
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Citations per year

Countries citing papers authored by Kil-Houm Park

Since Specialization
Citations

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

Fields of papers citing papers by Kil-Houm Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kil-Houm Park. 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 Kil-Houm Park. The network helps show where Kil-Houm Park may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202244
2 20210
3 20202
4 20201
5 20191
6 20160
7 20136
8 20132
9 20116
10 20112
11 20105
12
Emulated Vision Tester for Automatic Functional Inspection of LCD Drive Module PCB
20092
13 20091
14 20073
15
Image Reconstruction Using Line-scan Image for LCD Surface Inspection
20041
16 200418
17
Automated Segmentation of MR Brain Images Using 3-Dimensional Clustering
20021
18
A Single Camera based Method for Cubing Rectangular Parallelepiped Objects
20023
19
Automatic Liver Tumor Detection from CT
200126
20
Computer-Aided Diagnostic System Based on Liver CT Image.
20002

About Kil-Houm Park

Kil-Houm Park is a scholar working on Industrial and Manufacturing Engineering, Media Technology and Computer Vision and Pattern Recognition, having authored 74 papers that have together received 506 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (28 papers), Image Processing Techniques and Applications (21 papers), ECG Monitoring and Analysis (17 papers), Image and Object Detection Techniques (10 papers), Advanced Measurement and Detection Methods (9 papers), EEG and Brain-Computer Interfaces (9 papers), Non-Invasive Vital Sign Monitoring (7 papers) and Infrared Target Detection Methodologies (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (261 citations), Industrial and Manufacturing Engineering (114 citations) and Media Technology (85 citations). Kil-Houm Park has collaborated with scholars based in South Korea and United States. Frequent co-authors include Chul Hyun Park, Young‐Chul Song, Doo-Hyun Choi, Joon-Jae Lee, Bekhzod Olimov, Jeonghong Kim, M.J.T. Smith, Sang‐Chul Kim, Byoung‐Ju Yun and Myeonghyun Kim. Their work appears in journals such as Japanese Journal of Applied Physics, Scientific Reports, Journal of Imaging Science and Technology, Applied Energy and IEEE Transactions on Consumer Electronics.

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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