Yoojeong Noh

70 papers and 1.1k indexed citations i.

About

Yoojeong Noh is a scholar working on Statistics, Probability and Uncertainty, Mechanical Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Yoojeong Noh has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics, Probability and Uncertainty, 18 papers in Mechanical Engineering and 17 papers in Computational Theory and Mathematics. Recurrent topics in Yoojeong Noh’s work include Probabilistic and Robust Engineering Design (23 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Optimal Experimental Design Methods (8 papers). Yoojeong Noh is often cited by papers focused on Probabilistic and Robust Engineering Design (23 papers), Advanced Multi-Objective Optimization Algorithms (16 papers) and Optimal Experimental Design Methods (8 papers). Yoojeong Noh collaborates with scholars based in South Korea, United States and Saudi Arabia. Yoojeong Noh's co-authors include Kyung K. Choi, Ikjin Lee, Young-Jin Kang, Liu Du, Inwon Lee, Hak‐Seon Kim, Sang-Bong Lee, Liang Zhao, David Gorsich and Mohan Reddy Pallavolu and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Expert Systems with Applications and Sensors.

In The Last Decade

Co-authorship network of co-authors of Yoojeong Noh i

Fields of papers citing papers by Yoojeong Noh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yoojeong Noh

Since Specialization
Citations

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

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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