Soonjo Kwon

507 total citations
42 papers, 346 citations indexed

About

Soonjo Kwon is a scholar working on Industrial and Manufacturing Engineering, Computational Mechanics and Automotive Engineering. According to data from OpenAlex, Soonjo Kwon has authored 42 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Industrial and Manufacturing Engineering, 15 papers in Computational Mechanics and 10 papers in Automotive Engineering. Recurrent topics in Soonjo Kwon's work include Manufacturing Process and Optimization (29 papers), 3D Shape Modeling and Analysis (12 papers) and Additive Manufacturing and 3D Printing Technologies (10 papers). Soonjo Kwon is often cited by papers focused on Manufacturing Process and Optimization (29 papers), 3D Shape Modeling and Analysis (12 papers) and Additive Manufacturing and 3D Printing Technologies (10 papers). Soonjo Kwon collaborates with scholars based in South Korea, United States and France. Soonjo Kwon's co-authors include Duhwan Mun, Soonhung Han, Byung Chul Kim, William Z. Bernstein, Raphaël Barbau, Michael Sharp, Hyuncheol Kim, Jae Min Lee, Hyungki Kim and Hyo-Won Suh and has published in prestigious journals such as Expert Systems with Applications, International Journal of Production Research and Additive manufacturing.

In The Last Decade

Soonjo Kwon

35 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soonjo Kwon South Korea 11 215 106 98 58 44 42 346
Sang-Uk Cheon South Korea 12 293 1.4× 88 0.8× 59 0.6× 145 2.5× 24 0.5× 27 400
D. E. R. Clark United Kingdom 13 360 1.7× 209 2.0× 94 1.0× 124 2.1× 48 1.1× 46 543
Changbai Tan United States 12 146 0.7× 60 0.6× 33 0.3× 113 1.9× 21 0.5× 22 334
Yuan-Jye Tseng Taiwan 13 368 1.7× 95 0.9× 57 0.6× 123 2.1× 21 0.5× 34 430
Alexandre Durupt France 10 195 0.9× 33 0.3× 62 0.6× 77 1.3× 10 0.2× 33 311
Dianliang Wu China 9 176 0.8× 36 0.3× 57 0.6× 68 1.2× 5 0.1× 32 279
Dominique Deneux France 8 114 0.5× 20 0.2× 20 0.2× 40 0.7× 8 0.2× 13 263
Soyoung Yoo South Korea 6 97 0.5× 31 0.3× 25 0.3× 79 1.4× 7 0.2× 9 279

Countries citing papers authored by Soonjo Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Soonjo Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soonjo Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Soonjo Kwon. A scholar is included among the top collaborators of Soonjo Kwon 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 Soonjo Kwon. Soonjo Kwon 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.
Kim, Jaeyeon, et al.. (2025). D-ECOmposer: Sustainable part decomposition for additive manufacturing using machine learning based life cycle assessment. Additive manufacturing. 103. 104759–104759. 1 indexed citations
2.
Choi, Woon Yong, et al.. (2025). Unraveling the unique bioactivities of highly purified C-phycocyanin and allophycocyanin. Journal of Biological Engineering. 19(1). 34–34. 1 indexed citations
3.
Kwon, Soonjo, et al.. (2025). Denoise yourself: Self-supervised point cloud upsampling with pretrained denoising. Expert Systems with Applications. 271. 126638–126638.
4.
Choi, Tsan‐Ming, TaeHyun Kim, Min Gyu Kim, et al.. (2025). Deciphering the anti-obesity mechanisms of pharmabiotic probiotics through advanced multiomics analysis. iScience. 28(2). 111890–111890. 2 indexed citations
5.
Kim, Byung Chul, et al.. (2024). Automatic cable routing based on improved pathfinding algorithm and B-spline optimization for collision avoidance. Journal of Computational Design and Engineering. 11(5). 303–317. 1 indexed citations
6.
Kim, Jae‐Yeon, et al.. (2024). Redesigning a Bracket for Elevator Traction Machine Based on Part Consolidation for Additive Manufacturing. Journal of the Korean Society of Manufacturing Process Engineers. 23(6). 114–123.
7.
Kim, Hyungki, et al.. (2023). Point cloud upsampling using deep self-sampling with point saliency. Journal of Mechanical Science and Technology. 37(12). 6083–6091. 1 indexed citations
8.
Kwon, Soonjo, et al.. (2023). Deep learning-based point cloud upsampling: a review of recent trends. 5(4). 105–111. 3 indexed citations
9.
Kwon, Soonjo, et al.. (2023). Optimal process planning for hybrid additive–subtractive manufacturing using recursive volume decomposition with decision criteria. Journal of Manufacturing Systems. 71. 360–376. 6 indexed citations
10.
Lipman, Robert R., et al.. (2021). Visualizing Standardized Model-Based Design and Inspection Data in Augmented Reality. Journal of Computing and Information Science in Engineering. 22(4). 8 indexed citations
11.
Kwon, Soonjo, et al.. (2021). A New Implementation of ontostep: Flexible Generation of Ontology and Knowledge Graphs of express-Driven Data. Journal of Computing and Information Science in Engineering. 22(2). 6 indexed citations
12.
Ko, Hyunwoong, et al.. (2020). Part decomposition and evaluation based on standard design guidelines for additive manufacturability and assemblability. Additive manufacturing. 37. 101702–101702. 22 indexed citations
13.
Kwon, Soonjo, et al.. (2020). Simplification of a Feature-based 3D CAD Assembly Model Considering the Allowable Highest and Lowest Limits of the LOD. Journal of the Korean Society of Manufacturing Process Engineers. 19(7). 22–34. 2 indexed citations
14.
Komoto, Hitoshi, William Z. Bernstein, Soonjo Kwon, & Fumihiko Kimura. (2020). Standardizing environmental performance evaluation of manufacturing systems through ISO 20140. Procedia CIRP. 90. 528–533. 3 indexed citations
15.
Kwon, Soonjo, et al.. (2020). Semantics-aware adaptive simplification for lightweighting diverse 3D CAD models in industrial plants. Journal of Mechanical Science and Technology. 34(3). 1289–1300. 5 indexed citations
16.
Han, Soonhung, et al.. (2019). Point-Oriented Persistent Identification of Entities for Exchanging Parametric CAD Data. Computer-Aided Design and Applications. 17(2). 274–287. 1 indexed citations
17.
Kwon, Soonjo, Duhwan Mun, Byung Chul Kim, Soonhung Han, & Hyo-Won Suh. (2019). B-rep model simplification using selective and iterative volume decomposition to obtain finer multi-resolution models. Computer-Aided Design. 112. 23–34. 19 indexed citations
18.
Kwon, Soonjo, Byung Chul Kim, Duhwan Mun, & Soonhung Han. (2015). Graph-Based Simplification of Feature-Based Three-Dimensional Computer-Aided Design Models for Preserving Connectivity. Journal of Computing and Information Science in Engineering. 15(3). 18 indexed citations
19.
Kwon, Soonjo, Byung Chul Kim, Duhwan Mun, & Soonhung Han. (2014). Simplification of feature-based 3D CAD assembly data of ship and offshore equipment using quantitative evaluation metrics. Computer-Aided Design. 59. 140–154. 40 indexed citations
20.
Kwon, Soonjo, Soonhung Han, & Duhwan Mun. (2013). Simplification of equipment 3D CAD assembly data using quantitative metrics for prioritizing the features. 662–665. 3 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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