Doo-chul Choi

453 total citations
19 papers, 374 citations indexed

About

Doo-chul Choi is a scholar working on Industrial and Manufacturing Engineering, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Doo-chul Choi has authored 19 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Industrial and Manufacturing Engineering, 10 papers in Computational Mechanics and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Doo-chul Choi's work include Industrial Vision Systems and Defect Detection (16 papers), Surface Roughness and Optical Measurements (9 papers) and Image and Object Detection Techniques (5 papers). Doo-chul Choi is often cited by papers focused on Industrial Vision Systems and Defect Detection (16 papers), Surface Roughness and Optical Measurements (9 papers) and Image and Object Detection Techniques (5 papers). Doo-chul Choi collaborates with scholars based in South Korea. Doo-chul Choi's co-authors include Sang Woo Kim, Yong-Ju Jeon, Jong Pil Yun, Sang Jun Lee, Chang‐Hyun Park, Sang Jun Lee, Jewon Lee, Seung‐Hun Kim, Seokbae Moon and Hyeonwoo Cho and has published in prestigious journals such as Journal of the Optical Society of America A, The International Journal of Advanced Manufacturing Technology and ISIJ International.

In The Last Decade

Doo-chul Choi

19 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Doo-chul Choi South Korea 13 305 152 145 100 82 19 374
Nirbhar Neogi India 7 281 0.9× 122 0.8× 142 1.0× 155 1.6× 76 0.9× 11 409
Linhao Shao China 7 264 0.9× 59 0.4× 142 1.0× 88 0.9× 110 1.3× 8 359
Xingjie Li China 4 187 0.6× 53 0.3× 125 0.9× 108 1.1× 41 0.5× 13 287
Junfeng Jing China 11 227 0.7× 68 0.4× 151 1.0× 30 0.3× 66 0.8× 34 361
Swarit Anand Singh India 5 164 0.5× 57 0.4× 73 0.5× 100 1.0× 38 0.5× 15 238
Nick Van Gestel Belgium 6 114 0.4× 147 1.0× 222 1.5× 305 3.0× 13 0.2× 10 446
S. Kurada Canada 7 201 0.7× 117 0.8× 55 0.4× 398 4.0× 21 0.3× 12 515
Huaian Yi China 9 205 0.7× 235 1.5× 72 0.5× 205 2.0× 17 0.2× 36 356
Shuwen Lin China 9 49 0.2× 179 1.2× 79 0.5× 258 2.6× 26 0.3× 30 359

Countries citing papers authored by Doo-chul Choi

Since Specialization
Citations

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

Fields of papers citing papers by Doo-chul Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doo-chul Choi. 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 Doo-chul Choi. The network helps show where Doo-chul Choi may publish in the future.

Co-authorship network of co-authors of Doo-chul Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Doo-chul Choi. A scholar is included among the top collaborators of Doo-chul Choi 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 Doo-chul Choi. Doo-chul Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Choi, Doo-chul, et al.. (2017). Detection of Pinholes in Steel Slabs Using Gabor Filter Combination and Morphological Features. ISIJ International. 57(6). 1045–1053. 40 indexed citations
2.
Jeon, Yong-Ju, Doo-chul Choi, Sang Jun Lee, Jong Pil Yun, & Sang Woo Kim. (2015). Steel-surface defect detection using a switching-lighting scheme. Applied Optics. 55(1). 47–47. 47 indexed citations
3.
Jeon, Yong-Ju, Doo-chul Choi, Jong Pil Yun, & Sang Woo Kim. (2015). Detection of Periodic Defects Using Dual-Light Switching Lighting Method on the Surface of Thick Plates. ISIJ International. 55(9). 1942–1949. 12 indexed citations
4.
Jeon, Yong-Ju, Doo-chul Choi, Sang Jun Lee, Jong Pil Yun, & Sang Woo Kim. (2014). Defect detection for corner cracks in steel billets using a wavelet reconstruction method. Journal of the Optical Society of America A. 31(2). 227–227. 51 indexed citations
5.
Choi, Doo-chul, et al.. (2014). Detection of Scarfing Faults on the Edges of Slabs. ISIJ International. 54(1). 112–118. 13 indexed citations
6.
Choi, Doo-chul, Yong-Ju Jeon, Sang Jun Lee, Jong Pil Yun, & Sang Woo Kim. (2014). Algorithm for detecting seam cracks in steel plates using a Gabor filter combination method. Applied Optics. 53(22). 4865–4865. 32 indexed citations
7.
Yun, Jong Pil, Doo-chul Choi, Yong-Ju Jeon, Chang‐Hyun Park, & Sang Woo Kim. (2013). Defect inspection system for steel wire rods produced by hot rolling process. The International Journal of Advanced Manufacturing Technology. 70(9-12). 1625–1634. 40 indexed citations
8.
Lee, Jewon, Yong-Ju Jeon, Doo-chul Choi, Seung‐Hun Kim, & Sang Woo Kim. (2013). Demagnetization fault diagnosis method for PMSM of electric vehicle. 2709–2713. 36 indexed citations
9.
Yun, Jong Pil, Yong-Ju Jeon, Doo-chul Choi, & Sang Woo Kim. (2012). Real-time defect detection of steel wire rods using wavelet filters optimized by univariate dynamic encoding algorithm for searches. Journal of the Optical Society of America A. 29(5). 797–797. 13 indexed citations
10.
Choi, Doo-chul, et al.. (2012). Automated Inspection Algorithm For Thick Plate Using Dual Light Switching Lighting Method. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
11.
Choi, Doo-chul, et al.. (2012). An Algorithm For Detecting Seam Cracks In Steel Plates. Zenodo (CERN European Organization for Nuclear Research). 6(12). 2835–2838. 6 indexed citations
12.
Jeon, Yong-Ju, Doo-chul Choi, Jong Pil Yun, Chang‐Hyun Park, & Sang Woo Kim. (2011). Detection of scratch defects on slab surface. International Conference on Control, Automation and Systems. 1275–1279. 12 indexed citations
13.
Choi, Doo-chul, Yong-Ju Jeon, Jong Pil Yun, & Sang Woo Kim. (2011). Pinhole detection in steel slab images using Gabor filter and morphological features. Applied Optics. 50(26). 5122–5122. 34 indexed citations
14.
Choi, Doo-chul, Yong-Ju Jeon, Jong Pil Yun, & Sang Woo Kim. (2011). Blowhole detection algorithm using texture analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8350. 83501I–83501I. 1 indexed citations
15.
Jeon, Yong-Ju, Jong Pil Yun, Doo-chul Choi, & Sang Woo Kim. (2009). Defect detection algorithm for corner cracks in steel billet using discrete wavelet transform. 2009 ICCAS-SICE. 2769–2773. 14 indexed citations
16.
Cho, Hyeonwoo, Yong-Ju Jeon, Doo-chul Choi, & Sang Woo Kim. (2009). Affine projection algorithm with coefficient vector reusing. 1148–1150. 3 indexed citations
17.
Choi, Doo-chul, Jong Pil Yun, Yong-Ju Jeon, & Sang Woo Kim. (2009). Pinhole detection in steel slab images using machine vision. IFAC Proceedings Volumes. 42(19). 397–401. 2 indexed citations
18.
Yun, Jong Pil, et al.. (2008). Detection of line defects in steel billets using undecimated wavelet transform. 1725–1728. 14 indexed citations
19.
Choi, Doo-chul, et al.. (2007). Measurement of Frictional Forces in Atomic Force Microscopy. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 121-123. 851–854. 2 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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