Minsu Kim

635 total citations
16 papers, 458 citations indexed

About

Minsu Kim is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, Minsu Kim has authored 16 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Mechanical Engineering. Recurrent topics in Minsu Kim's work include Process Optimization and Integration (3 papers), Hybrid Renewable Energy Systems (2 papers) and Fault Detection and Control Systems (2 papers). Minsu Kim is often cited by papers focused on Process Optimization and Integration (3 papers), Hybrid Renewable Energy Systems (2 papers) and Fault Detection and Control Systems (2 papers). Minsu Kim collaborates with scholars based in South Korea, United States and Switzerland. Minsu Kim's co-authors include Il Moon, Seokyoung Hong, Jonggeol Na, Jaewon Lee, Kwanghoon Sohn, Seungryong Kim, Junghwan Kim, Hyungtae Cho, Hyunho Lee and Jong Jin Park and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Cleaner Production and Chemical Engineering Journal.

In The Last Decade

Minsu Kim

16 papers receiving 451 citations

Peers

Minsu Kim
Minsu Kim
Citations per year, relative to Minsu Kim Minsu Kim (= 1×) peers Hüseyin Bakır

Countries citing papers authored by Minsu Kim

Since Specialization
Citations

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

Fields of papers citing papers by Minsu Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minsu Kim

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

All Works

16 of 16 papers shown
2.
Kim, Minsu, et al.. (2024). Fast Charging of Lithium-Ion Batteries While Accounting for Degradation and Cell-to-Cell Variability. Journal of The Electrochemical Society. 171(9). 90517–90517. 3 indexed citations
3.
Kim, Minsu, et al.. (2024). Multi-objective optimization for sustainable and economical polycarbonate production with reaction kinetics inference for real-world industrial process. Chemical Engineering Journal. 490. 151484–151484. 8 indexed citations
4.
Kim, Minsu, et al.. (2023). Comparison of Derivative-Free Optimization: Energy Optimization of Steam Methane Reforming Process. International Journal of Energy Research. 2023. 1–20. 8 indexed citations
5.
6.
Kim, Minsu, et al.. (2023). Normality Guided Multiple Instance Learning for Weakly Supervised Video Anomaly Detection. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 2664–2673. 21 indexed citations
7.
Hong, Seokyoung, Jaewon Lee, Hyungtae Cho, et al.. (2022). Multi-objective optimization of CO2 emission and thermal efficiency for on-site steam methane reforming hydrogen production process using machine learning. Journal of Cleaner Production. 359. 132133–132133. 65 indexed citations
8.
Hong, Seokyoung, et al.. (2021). Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes. IEEE Transactions on Industrial Informatics. 18(2). 827–834. 91 indexed citations
9.
Kim, Minsu, et al.. (2021). Data-driven robust optimization for minimum nitrogen oxide emission under process uncertainty. Chemical Engineering Journal. 428. 130971–130971. 21 indexed citations
10.
Kim, Seungryong, et al.. (2021). Learning Canonical 3D Object Representation for Fine-Grained Recognition. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1015–1025. 11 indexed citations
11.
Cho, Sunghyun, Dongwoo Kang, Joseph Sang‐Il Kwon, et al.. (2021). A Framework for Economically Optimal Operation of Explosive Waste Incineration Process to Reduce NOx Emission Concentration. Mathematics. 9(17). 2174–2174. 6 indexed citations
12.
Kim, Minsu, et al.. (2021). Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(3). 1799–1807. 15 indexed citations
13.
Kim, Jeongdong, Meng Qi, Minsu Kim, et al.. (2021). Biogas reforming integrated with PEM electrolysis via oxygen storage process for green hydrogen production: From design to robust optimization. Energy Conversion and Management. 251. 115021–115021. 63 indexed citations
14.
Kim, Minsu, et al.. (2019). Unpaired Cross-Spectral Pedestrian Detection Via Adversarial Feature Learning. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1650–1654. 13 indexed citations
15.
Hong, Youngsun, et al.. (2019). Early Fault Diagnosis and Classification of Ball Bearing Using Enhanced Kurtogram and Gaussian Mixture Model. IEEE Transactions on Instrumentation and Measurement. 68(12). 4746–4755. 58 indexed citations
16.
Kim, Minsu. (2008). Structure and Dynamics of Complex Fluids. 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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