Sanghoun Oh

790 total citations
18 papers, 558 citations indexed

About

Sanghoun Oh is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Water Science and Technology. According to data from OpenAlex, Sanghoun Oh has authored 18 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 4 papers in Water Science and Technology. Recurrent topics in Sanghoun Oh's work include Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Sanghoun Oh is often cited by papers focused on Metaheuristic Optimization Algorithms Research (8 papers), Evolutionary Algorithms and Applications (6 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Sanghoun Oh collaborates with scholars based in South Korea, United Kingdom and United States. Sanghoun Oh's co-authors include Chang Wook Ahn, R. S. Ramakrishna, Moongu Jeon, Sangwook Lee, Sang-Moon Soak, Witold Pedrycz, Joon Ha Kim, Sangho Lee, Youn-Kyoo Choung and Hyunje Oh and has published in prestigious journals such as IEEE Access, Desalination and Computer Graphics Forum.

In The Last Decade

Sanghoun Oh

16 papers receiving 538 citations

Peers

Sanghoun Oh

EEE

WST

CTM

CSE

Saptarshi Sengupta United States

Bai Qing-hai China

Bilal India

Lars Nolle United Kingdom

Jingru Zhang China

Raquel Dormido Spain

Oğuz Emrah Turgut Türkiye

Jianyu Wang China

Yongjun Sun China

Saptarshi Sengupta United States

Sanghoun Oh

206 ×1.2

83 ×0.6

EEE

48 ×0.6

WST

55 ×0.7

CTM

75 ×1.1

CSE

Citations per year, relative to Sanghoun Oh Sanghoun Oh (= 1×) peers Saptarshi Sengupta

Countries citing papers authored by Sanghoun Oh

Since Specialization

Citations

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

Fields of papers citing papers by Sanghoun Oh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanghoun Oh

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

All Works

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18 of 18 papers shown

Oh, Sanghoun, et al.. (2025). PaMO: Parallel Mesh Optimization for Intersection‐Free Low‐Poly Modeling on the GPU. Computer Graphics Forum. 44(7).

Oh, Sanghoun & Chang Wook Ahn. (2023). Evolutionary Approach for Interpretable Feature Selection Algorithm in Manufacturing Industry. IEEE Access. 11. 46604–46614. 4 indexed citations

Oh, Sanghoun, et al.. (2023). Metaheuristic-based time series clustering for anomaly detection in manufacturing industry. Applied Intelligence. 53(19). 21723–21742. 10 indexed citations

Pant, Millie, et al.. (2021). Multiple Instance Learning with Differential Evolutionary Pooling. Electronics. 10(12). 1403–1403. 1 indexed citations

Oh, Sanghoun, et al.. (2021). Self-Adaptive Genetic Programming for Manufacturing Big Data Analysis. Symmetry. 13(4). 709–709. 3 indexed citations

Oh, Sanghoun, et al.. (2017). Performance Evaluation of a Finite Element CodeParallelized with OpenMP. Civil-comp proceedings. 111.

Oh, Sanghoun, Moongu Jeon, & Yaochu Jin. (2011). Approximate models for constraint functions in evolutionary constrained optimization. Surrey Research Insight Open Access (The University of Surrey). 3 indexed citations

Jin, Yaochu, Sanghoun Oh, & Moongu Jeon. (2010). Incremental approximation of nonlinear constraint functions for evolutionary constrained optimization. View. 1–8. 16 indexed citations

Oh, Sanghoun, Chang Wook Ahn, & Moongu Jeon. (2010). A New Evolutionary Approach to Cluster Validation Index. Journal of Computational and Theoretical Nanoscience. 7(5). 806–812. 2 indexed citations

10.

Kim, Seung Joon, Young Geun Lee, Sanghoun Oh, et al.. (2009). Energy saving methodology for the SWRO desalination process: control of operating temperature and pressure. Desalination. 247(1-3). 260–270. 18 indexed citations

11.

Oh, Hyunje, Youn-Kyoo Choung, Sanghoun Oh, et al.. (2009). Prediction of membrane fouling in the pilot-scale microfiltration system using genetic programming. Desalination. 247(1-3). 285–294. 50 indexed citations

12.

Oh, Sanghoun, Sangwook Lee, & Moongu Jeon. (2009). Evolutionary optimization programming with probabilistic models. 3447. 1–6. 1 indexed citations

13.

Kim, Seung Joon, et al.. (2009). A control methodology for the feed water temperature to optimize SWRO desalination process using genetic programming. Desalination. 247(1-3). 190–199. 22 indexed citations

14.

Oh, Sanghoun, Chang Wook Ahn, & Moongu Jeon. (2008). An evolutionary cluster validation index. 7. 83–88. 2 indexed citations

15.

Lee, Sangwook, Sang-Moon Soak, Sanghoun Oh, Witold Pedrycz, & Moongu Jeon. (2008). Modified binary particle swarm optimization. Progress in Natural Science Materials International. 18(9). 1161–1166. 138 indexed citations

16.

Oh, Sanghoun, et al.. (2007). A New Context-Aware Learning System for Predicting Services to Users in Ubiquitous Environment. 4 indexed citations

17.

Chae, So-Ryong, Seoktae Kang, Eleanor S. Lee, et al.. (2006). High reuse potential of effluent from an innovative vertical submerged membrane bioreactor treating municipal wastewater. Desalination. 202(1-3). 83–89. 9 indexed citations

18.

Ahn, Chang Wook, Sanghoun Oh, & R. S. Ramakrishna. (2005). On the practical genetic algorithms. 1583–1584. 275 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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