Jeongsam Yang

718 total citations
48 papers, 540 citations indexed

About

Jeongsam Yang is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jeongsam Yang has authored 48 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Industrial and Manufacturing Engineering, 14 papers in Control and Systems Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jeongsam Yang's work include Manufacturing Process and Optimization (17 papers), 3D Surveying and Cultural Heritage (6 papers) and Computer Graphics and Visualization Techniques (5 papers). Jeongsam Yang is often cited by papers focused on Manufacturing Process and Optimization (17 papers), 3D Surveying and Cultural Heritage (6 papers) and Computer Graphics and Visualization Techniques (5 papers). Jeongsam Yang collaborates with scholars based in South Korea, United States and Japan. Jeongsam Yang's co-authors include Soonhung Han, Sungjoo Lee, Jinwon Lee, Jonghwan Lee, Duhwan Mun, Sang-Uk Cheon, Se‐Hee Lee, Moohyun Cha, Hiroshi Seki and Byung Chul Kim and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Jeongsam Yang

45 papers receiving 500 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeongsam Yang South Korea 15 203 92 92 69 68 48 540
P. Simin Pulat United States 13 218 1.1× 99 1.1× 49 0.5× 36 0.5× 45 0.7× 39 428
Achmad Pratama Rifai Indonesia 12 451 2.2× 64 0.7× 67 0.7× 57 0.8× 56 0.8× 48 724
Mukund Nilakantan Janardhanan United Kingdom 21 699 3.4× 60 0.7× 66 0.7× 57 0.8× 99 1.5× 46 1.2k
Jong Gye Shin South Korea 15 282 1.4× 132 1.4× 60 0.7× 49 0.7× 27 0.4× 79 812
Abe Zeid United States 11 262 1.3× 29 0.3× 37 0.4× 25 0.4× 49 0.7× 40 565
John S. Usher United States 20 235 1.2× 106 1.2× 83 0.9× 14 0.2× 56 0.8× 59 1.2k
Borut Buchmeister Slovenia 19 380 1.9× 94 1.0× 23 0.3× 44 0.6× 49 0.7× 64 856
Berna Ulutaş Türkiye 12 276 1.4× 108 1.2× 109 1.2× 22 0.3× 47 0.7× 41 643
Steven R. Ray United States 13 187 0.9× 38 0.4× 50 0.5× 21 0.3× 37 0.5× 43 710
José Ríos Spain 20 721 3.6× 68 0.7× 60 0.7× 94 1.4× 80 1.2× 67 1.1k

Countries citing papers authored by Jeongsam Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jeongsam Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeongsam Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jeongsam Yang. A scholar is included among the top collaborators of Jeongsam Yang 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 Jeongsam Yang. Jeongsam Yang 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.
Lee, Jinwon, et al.. (2023). Multi-class semantic segmentation of breast tissues from MRI images using U-Net based on Haar wavelet pooling. Scientific Reports. 13(1). 11704–11704. 3 indexed citations
2.
Yang, Jeongsam, et al.. (2023). Two-dimensional polygon classification and pairwise clustering for pairing in ship parts nesting. Journal of Intelligent Manufacturing. 35(7). 3169–3184. 2 indexed citations
3.
Cheon, Sang-Uk, et al.. (2021). A Deep Learning-based Part Classification Method for Ship Part Pairing in Nesting Problems. 26(4). 514–524. 1 indexed citations
4.
Lee, Jinwon, et al.. (2021). Development of a service parts recommendation system using clustering and classification of machine learning. Expert Systems with Applications. 188. 116084–116084. 8 indexed citations
5.
Yang, Jeongsam, et al.. (2019). Development of a 3D breast shape generation and deformation system for breast implant fabrication. Journal of Mechanical Science and Technology. 33(3). 1293–1303. 4 indexed citations
6.
Lee, Se‐Hee, et al.. (2015). A collaboration model for new product development through the integration of PLM and SCM in the electronics industry. Computers in Industry. 73. 82–92. 26 indexed citations
7.
Cheon, Sang-Uk, et al.. (2014). Development of a Fuzzy Rule-based Decision-making System for Evaluating the Lifetime of a Rubber Fender. Quality and Reliability Engineering International. 31(5). 811–828. 8 indexed citations
8.
Yang, Jeongsam, et al.. (2014). Development of an analysis system for geometric contour error evaluation in ultra-precision machining for microlens arrays. Journal of Mechanical Science and Technology. 28(10). 4121–4129. 5 indexed citations
9.
10.
Lee, Se-Hee, et al.. (2010). Prediction of Characteristics Life of the Rubber Gasket. 10(4). 213–235. 1 indexed citations
11.
Yang, Jeongsam, et al.. (2010). Establishment of an effective product liability prevention plan by analyzing product liability cases. Quality and Reliability Engineering International. 27(4). 581–593. 3 indexed citations
12.
Mun, Duhwan & Jeongsam Yang. (2010). An integrated translation of design data of a nuclear power plant from a specification-driven plant design system to neutral model data. Annals of Nuclear Energy. 37(3). 389–397. 14 indexed citations
13.
Song, In‐Hyuck, Jeongsam Yang, H. S. Jo, & Seung Ho Choi. (2009). Development of a lightweight CAE middleware for CAE data exchange. International Journal of Computer Integrated Manufacturing. 22(9). 823–835. 16 indexed citations
14.
Yang, Jeongsam, et al.. (2008). Development of an authoring framework for the simplified customization of PDM systems. Journal of Mechanical Science and Technology. 22(11). 2180–2189. 1 indexed citations
15.
Mun, Duhwan, Jin-Sang Hwang, Soonhung Han, Hiroshi Seki, & Jeongsam Yang. (2007). Sharing product data of nuclear power plants across their lifecycles by utilizing a neutral model. Annals of Nuclear Energy. 35(2). 175–186. 21 indexed citations
16.
Han, Soonhung, et al.. (2006). Design and Implementation of Multichannel Visualization Module on PC Cluster for Virtual Manufacturing. Transactions of the Korean Society of Mechanical Engineers A. 30(3). 231–240. 2 indexed citations
17.
Yang, Jeongsam, et al.. (2005). Vector magnetometry of synthetic spin valves. IEEE Transactions on Magnetics. 41(10). 3712–3714. 1 indexed citations
18.
Yang, Jeongsam, et al.. (2004). Parameter-based Engineering Changes for a Distributed Engineering Environment. Concurrent Engineering. 12(4). 275–286. 17 indexed citations
19.
Yang, Jeongsam. (2004). A procedural approach of inspecting CAD model errors. Engineering Computations. 21(7). 736–747. 3 indexed citations
20.
Yang, Jeongsam, et al.. (2003). Engineering Change of Products Using W orkflow Management Based on the Parameters Network. Journal of Korean Institute of Industrial Engineers. 29(2). 157–164. 1 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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