Huitaek Yun

1.1k total citations · 1 hit paper
27 papers, 799 citations indexed

About

Huitaek Yun is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Huitaek Yun has authored 27 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Industrial and Manufacturing Engineering, 8 papers in Mechanical Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Huitaek Yun's work include Industrial Vision Systems and Defect Detection (9 papers), Manufacturing Process and Optimization (6 papers) and Advanced machining processes and optimization (5 papers). Huitaek Yun is often cited by papers focused on Industrial Vision Systems and Defect Detection (9 papers), Manufacturing Process and Optimization (6 papers) and Advanced machining processes and optimization (5 papers). Huitaek Yun collaborates with scholars based in United States, South Korea and Canada. Huitaek Yun's co-authors include Martin Byung‐Guk Jun, Byung-Kwon Min, Hang-Eun Joe, Han‐Jun Kim, Haiyue Wu, John W. Sutherland, Wo Jae Lee, Young Hun Jeong, Beiwen Li and Min Kyu Lee and has published in prestigious journals such as ACS Applied Materials & Interfaces, Composites Part B Engineering and International Journal of Machine Tools and Manufacture.

In The Last Decade

Huitaek Yun

27 papers receiving 758 citations

Hit Papers

A review on optical fiber sensors for environmental monit... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Huitaek Yun United States 13 340 195 163 160 128 27 799
Zhixue Wang China 15 479 1.4× 80 0.4× 57 0.3× 90 0.6× 71 0.6× 81 752
Muhammad Firdaus Akbar Malaysia 18 369 1.1× 138 0.7× 37 0.2× 132 0.8× 53 0.4× 53 820
Can Zhou China 20 437 1.3× 254 1.3× 50 0.3× 292 1.8× 239 1.9× 113 1.1k
Wuyi Ming China 16 187 0.6× 166 0.9× 207 1.3× 105 0.7× 45 0.4× 41 698
Chang‐Hyun Park South Korea 18 690 2.0× 98 0.5× 106 0.7× 63 0.4× 61 0.5× 72 917
Luiz Henrique Meyer Brazil 22 620 1.8× 125 0.6× 45 0.3× 186 1.2× 172 1.3× 55 1.2k
Guojin Feng China 20 602 1.8× 353 1.8× 27 0.2× 148 0.9× 430 3.4× 113 1.4k
Jihong Liu China 15 169 0.5× 52 0.3× 184 1.1× 308 1.9× 24 0.2× 86 888
Yi-Ming Chang Taiwan 16 267 0.8× 147 0.8× 41 0.3× 117 0.7× 34 0.3× 46 880

Countries citing papers authored by Huitaek Yun

Since Specialization
Citations

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

Fields of papers citing papers by Huitaek Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huitaek Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Huitaek Yun. A scholar is included among the top collaborators of Huitaek Yun 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 Huitaek Yun. Huitaek Yun 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
1.
Jun, Martin Byung‐Guk, et al.. (2024). Operation and Productivity Monitoring from Sound Signal of Legacy Pipe Bending Machine via Convolutional Neural Network (CNN). International Journal of Precision Engineering and Manufacturing. 25(7). 1437–1456. 4 indexed citations
2.
Lee, Jiho, et al.. (2024). Visual coating inspection framework via self-labeling and multi-stage deep learning strategies. Journal of Intelligent Manufacturing. 36(4). 2461–2478. 3 indexed citations
3.
Lee, Jiho, et al.. (2024). Hybrid Semiconductor Wafer Inspection Framework via Autonomous Data Annotation. Journal of Manufacturing Science and Engineering. 146(7). 1 indexed citations
4.
Yun, Huitaek, et al.. (2023). Machine Learning for Object Recognition in Manufacturing Applications. International Journal of Precision Engineering and Manufacturing. 24(4). 683–712. 27 indexed citations
5.
Jun, Martin Byung‐Guk, et al.. (2023). Cost-Effective Calibration of Collaborative Robot Arm with Single Wire Encoder. International Journal of Precision Engineering and Manufacturing. 24(9). 1615–1623. 2 indexed citations
7.
Jun, Martin Byung‐Guk, et al.. (2023). Autonomous Robotic Bin Picking Platform Generated From Human Demonstration and YOLOv5. Journal of Manufacturing Science and Engineering. 145(12). 7 indexed citations
8.
Yun, Huitaek, et al.. (2022). Machining sound analysis for the effects of fiber bending on cutting mechanisms during carbon fiber reinforced plastic composite milling. Composites Part B Engineering. 241. 110019–110019. 13 indexed citations
10.
Yun, Huitaek, et al.. (2022). Continuous coaxial nozzle designs for improved powder focusing in direct laser metal deposition. Journal of Manufacturing Processes. 83. 116–128. 7 indexed citations
11.
Yun, Huitaek, et al.. (2022). Calibration of industrial robots with spherical joint using single wire encoder. Manufacturing Letters. 33. 46–50. 4 indexed citations
12.
Jun, Martin Byung‐Guk, et al.. (2022). Development of robotic bin picking platform with cluttered objects using human guidance and convolutional neural network (CNN). Journal of Manufacturing Systems. 63. 539–549. 23 indexed citations
13.
Jun, Martin Byung‐Guk, et al.. (2021). Human Expertise Inspired Smart Sensing and Manufacturing. 1–7. 3 indexed citations
14.
Yun, Huitaek, et al.. (2021). Multiple Sound Sensors And Fusion In Modern CNN-Based Machine State Prediction. 2 indexed citations
15.
Yun, Huitaek, Han‐Jun Kim, Young Hun Jeong, & Martin Byung‐Guk Jun. (2021). Autoencoder-based anomaly detection of industrial robot arm using stethoscope based internal sound sensor. Journal of Intelligent Manufacturing. 34(3). 1427–1444. 56 indexed citations
16.
Yun, Huitaek, et al.. (2021). Effect of Au-Coating on the Laser Spot Cutting on Spring Contact Probe (SCP) for Semi-Conductor Inspection. Materials. 14(12). 3300–3300. 3 indexed citations
17.
Yun, Huitaek, et al.. (2020). Development of internal sound sensor using stethoscope and its applications for machine monitoring. Procedia Manufacturing. 48. 1072–1078. 18 indexed citations
18.
Joe, Hang-Eun, et al.. (2018). A review on optical fiber sensors for environmental monitoring. International Journal of Precision Engineering and Manufacturing-Green Technology. 5(1). 173–191. 307 indexed citations breakdown →
19.
Cho, Yonghyun, Farid Ahmed, Hang-Eun Joe, et al.. (2017). Fabrication of a Screw-Shaped Long-Period Fiber Grating for Refractive Index Sensing. IEEE Photonics Technology Letters. 29(24). 2242–2245. 20 indexed citations
20.
Yun, Huitaek, et al.. (2011). Ploughing detection in micromilling processes using the cutting force signal. International Journal of Machine Tools and Manufacture. 51(5). 377–382. 48 indexed citations

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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