Donghyeon Yu

1.2k total citations
57 papers, 909 citations indexed

About

Donghyeon Yu is a scholar working on Molecular Biology, Statistics and Probability and Computational Mechanics. According to data from OpenAlex, Donghyeon Yu has authored 57 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Statistics and Probability and 10 papers in Computational Mechanics. Recurrent topics in Donghyeon Yu's work include Statistical Methods and Inference (9 papers), Gene expression and cancer classification (8 papers) and Bioinformatics and Genomic Networks (6 papers). Donghyeon Yu is often cited by papers focused on Statistical Methods and Inference (9 papers), Gene expression and cancer classification (8 papers) and Bioinformatics and Genomic Networks (6 papers). Donghyeon Yu collaborates with scholars based in South Korea, China and United States. Donghyeon Yu's co-authors include Qinghua Hu, Jinfu Liu, Zongxia Xie, Johan Lim, Wen Bao, Guanghua Xiao, Jiang Qin, Xinlei Wang, Faming Liang and Guanghua Xiao and has published in prestigious journals such as Bioinformatics, International Journal of Hydrogen Energy and IEEE Access.

In The Last Decade

Donghyeon Yu

53 papers receiving 883 citations

Peers

Donghyeon Yu
Donghyeon Yu
Citations per year, relative to Donghyeon Yu Donghyeon Yu (= 1×) peers Ioannis Z. Emiris

Countries citing papers authored by Donghyeon Yu

Since Specialization
Citations

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

Fields of papers citing papers by Donghyeon Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donghyeon Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Donghyeon Yu. A scholar is included among the top collaborators of Donghyeon Yu 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 Donghyeon Yu. Donghyeon Yu 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.
Lim, Johan, Seung‐Kyu Kim, & Donghyeon Yu. (2025). A comprehensive and empirical review of the synthpop for synthetic data generation. Korean Journal of Applied Statistics. 38(2). 299–308.
2.
Choi, Hyoji, et al.. (2025). Population concentration in high-complexity regions within city during the heat wave. Cambridge Journal of Regions Economy and Society. 18(1). 41–56. 2 indexed citations
3.
Nam, Ji Hyun, et al.. (2025). Improving Vapor Pressure Prediction Through Integration of Multiple Molecular Representations: A Super Learner Approach. Journal of Chemometrics. 39(2). 1–19. 1 indexed citations
4.
5.
Jun, Bogang, et al.. (2023). Technological Leadership in Industry 4.0: A Comparison Between Manufacturing and ICT Sectors Among Korean Firms. IEEE Access. 11. 28490–28505. 2 indexed citations
6.
Lee, Jae‐Ho, et al.. (2023). Comparative study of time series anomaly detection based on generative deep learning models. Journal of the Korean Data and Information Science Society. 34(3). 377–394. 1 indexed citations
8.
Lim, Johan, et al.. (2022). Path algorithms for fused lasso signal approximator with application to COVID‐19 spread in Korea. International Statistical Review. 91(2). 218–242. 2 indexed citations
9.
Li, Qiwei, Donghyeon Yu, Bo Yao, et al.. (2019). GeNeCK: a web server for gene network construction and visualization. BMC Bioinformatics. 20(1). 12–12. 27 indexed citations
10.
Yu, Donghyeon, Sang H. Lee, Johan Lim, et al.. (2018). Fused lasso regression for identifying differential correlations in brain connectome graphs. Statistical Analysis and Data Mining The ASA Data Science Journal. 11(5). 203–226. 3 indexed citations
11.
Kim, Sang Cheol, Donghyeon Yu, & Seong Beom Cho. (2018). COEX-Seq: Convert a Variety of Measurements of Gene Expression in RNA-Seq. Genomics & Informatics. 16(4). e36–e36. 8 indexed citations
12.
Yu, Donghyeon, Johan Lim, Xinlei Wang, Faming Liang, & Guanghua Xiao. (2017). Enhanced construction of gene regulatory networks using hub gene information. BMC Bioinformatics. 18(1). 186–186. 94 indexed citations
13.
Lee, Sang H., et al.. (2016). Predicting progression from mild cognitive impairment to Alzheimer's disease using longitudinal callosal atrophy. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 2(1). 68–74. 26 indexed citations
14.
Park, Sunho, Seung-Jun Kim, Donghyeon Yu, et al.. (2015). An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types. Bioinformatics. 32(11). 1643–1651. 19 indexed citations
15.
Yu, Donghyeon, et al.. (2015). Statistical completion of a partially identified graph with applications for the estimation of gene regulatory networks. Biostatistics. 16(4). 670–685. 10 indexed citations
16.
Yu, Donghyeon, et al.. (2015). Classification of spectral data using fused lasso logistic regression. Chemometrics and Intelligent Laboratory Systems. 142. 70–77. 15 indexed citations
17.
Lee, Sang H., Donghyeon Yu, Alvin H. Bachman, Johan Lim, & Babak A. Ardekani. (2013). Application of fused lasso logistic regression to the study of corpus callosum thickness in early Alzheimer's disease. Journal of Neuroscience Methods. 221. 78–84. 23 indexed citations
18.
Lim, Johan, et al.. (2012). Detection of Differentially Expressed Gene Sets in a Partially Paired Microarray Data Set. Statistical Applications in Genetics and Molecular Biology. 11(3). Article 5–Article 5. 3 indexed citations
19.
Almendral, Juan A., I. Sendiña–Nadal, Donghyeon Yu, I. Leyva, & Stefano Boccaletti. (2009). Regulating synchronous states of complex networks by pinning interaction with an external node. Physical Review E. 80(6). 66111–66111. 4 indexed citations
20.
Yu, Donghyeon & Hui Li. (2004). Lower bound on path availability in ad hoc network. 3. 1758–1762. 14 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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