Eunseog Youn

1.7k total citations · 1 hit paper
21 papers, 1.3k citations indexed

About

Eunseog Youn is a scholar working on Molecular Biology, Analytical Chemistry and Plant Science. According to data from OpenAlex, Eunseog Youn has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Analytical Chemistry and 5 papers in Plant Science. Recurrent topics in Eunseog Youn's work include Spectroscopy and Chemometric Analyses (6 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Bioinformatics (4 papers). Eunseog Youn is often cited by papers focused on Spectroscopy and Chemometric Analyses (6 papers), Protein Structure and Dynamics (4 papers) and Machine Learning in Bioinformatics (4 papers). Eunseog Youn collaborates with scholars based in United States, Australia and China. Eunseog Youn's co-authors include Viktoria Gontcharova, Scot E. Dowd, Denise Molitoris, Sydney M. Finegold, Dennis R. Dixon, Chengxu Liu, John A. Green, Minghsun Liu, Paula Summanen and Randall D. Wolcott and has published in prestigious journals such as PLoS ONE, Optics Express and Expert Systems with Applications.

In The Last Decade

Eunseog Youn

20 papers receiving 1.3k citations

Hit Papers

Pyrosequencing study of fecal microflora of autistic and ... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eunseog Youn United States 12 784 234 225 188 131 21 1.3k
Han Yu China 14 722 0.9× 128 0.5× 77 0.3× 24 0.1× 120 0.9× 47 1.2k
Qinglong Wu United States 24 846 1.1× 88 0.4× 79 0.4× 22 0.1× 91 0.7× 69 1.7k
Ryan N. Dilger United States 40 926 1.2× 124 0.5× 71 0.3× 144 0.8× 61 0.5× 188 4.7k
Chris Van Ginneken Belgium 27 664 0.8× 88 0.4× 35 0.2× 71 0.4× 112 0.9× 143 2.7k
Chunlong Mu China 30 1.8k 2.3× 94 0.4× 43 0.2× 126 0.7× 228 1.7× 90 2.8k
Peifen Zhang China 28 2.8k 3.6× 98 0.4× 27 0.1× 50 0.3× 63 0.5× 103 4.2k
Julia M. Green-Johnson Canada 18 682 0.9× 83 0.4× 25 0.1× 42 0.2× 44 0.3× 50 1.7k
Ye Jin China 30 1.3k 1.7× 35 0.1× 28 0.1× 63 0.3× 99 0.8× 79 3.3k
Xinxin Zhang China 14 1.1k 1.4× 49 0.2× 61 0.3× 15 0.1× 103 0.8× 68 2.0k
Hongyan Chen China 31 1.3k 1.7× 114 0.5× 192 0.9× 27 0.1× 9 0.1× 128 3.3k

Countries citing papers authored by Eunseog Youn

Since Specialization
Citations

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

Fields of papers citing papers by Eunseog Youn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunseog Youn

This figure shows the co-authorship network connecting the top 25 collaborators of Eunseog Youn. A scholar is included among the top collaborators of Eunseog Youn 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 Eunseog Youn. Eunseog Youn 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.
Cui, Song, Nithya Rajan, Stephan J. Maas, & Eunseog Youn. (2014). An automated soil line identification method using relevance vector machine. Remote Sensing Letters. 5(2). 175–184. 10 indexed citations
2.
Zhao, Chunhui, Bin Qi, Eunseog Youn, Guisheng Yin, & Christian Nansen. (2014). Use of neighborhood unhomogeneity to detect the edge of hyperspectral spatial stray light region. Optik. 125(13). 3009–3012. 4 indexed citations
3.
Cui, Song, Eunseog Youn, Joohyun Lee, & Stephan J. Maas. (2014). An Improved Systematic Approach to Predicting Transcription Factor Target Genes Using Support Vector Machine. PLoS ONE. 9(4). e94519–e94519. 13 indexed citations
4.
Zhao, Chunhui, Bin Qi, & Eunseog Youn. (2013). Hyperspectral image classification based on Monte Carlo feature reduction method. JOURNAL OF INFRARED AND MILLIMETER WAVES. 32(1). 62–62. 2 indexed citations
5.
Bagchi, Angshuman, Matthew Mort, Biao Li, et al.. (2013). Analysis of Features from Protein-protein Hetero-complex Structures to Predict Protein Interaction Interfaces Using Machine Learning. Procedia Technology. 10. 62–66. 1 indexed citations
6.
Velten, Jeff, Cahid Çakir, Eunseog Youn, Junping Chen, & Christopher I. Cazzonelli. (2012). Transgene Silencing and Transgene-Derived siRNA Production in Tobacco Plants Homozygous for an Introduced AtMYB90 Construct. PLoS ONE. 7(2). e30141–e30141. 24 indexed citations
7.
Qi, Bin, Kai Zhao, Eunseog Youn, & Christian Nansen. (2011). Use of weighting algorithms to improve traditional support vector machine based classifications of reflectance data. Optics Express. 19(27). 26816–26816. 17 indexed citations
8.
Youn, Eunseog, et al.. (2011). Hierarchical Signature Clustering for Time Series Microarray Data. Advances in experimental medicine and biology. 696. 57–65. 3 indexed citations
9.
10.
Watters, Chase, et al.. (2010). Human transcriptome analysis reveals a potential role for active transport in the metabolism of Pseudomonas aeruginosa autoinducers. Microbes and Infection. 12(12-13). 1042–1050. 16 indexed citations
11.
Finegold, Sydney M., Scot E. Dowd, Viktoria Gontcharova, et al.. (2010). Pyrosequencing study of fecal microflora of autistic and control children. Anaerobe. 16(4). 444–453. 749 indexed citations breakdown →
12.
Youn, Eunseog, et al.. (2010). Support vector-based feature selection using Fisher’s linear discriminant and Support Vector Machine. Expert Systems with Applications. 37(9). 6148–6156. 25 indexed citations
13.
Chen, Jake Y., Eunseog Youn, & Sean D. Mooney. (2009). Connecting Protein Interaction Data, Mutations, and Disease Using Bioinformatics. Methods in molecular biology. 541. 449–461. 10 indexed citations
14.
Pitta, Dipti, William E. Pinchak, Scot E. Dowd, et al.. (2009). Rumen Bacterial Diversity Dynamics Associated with Changing from Bermudagrass Hay to Grazed Winter Wheat Diets. Microbial Ecology. 59(3). 511–522. 274 indexed citations
15.
Youn, Eunseog, et al.. (2009). A two-stage classification procedure for near-infrared spectra based on multi-scale vertical energy wavelet thresholding and SVM-based gradient-recursive feature elimination. Journal of the Operational Research Society. 60(8). 1107–1115. 15 indexed citations
16.
Youn, Eunseog & Myong K. Jeong. (2008). Class dependent feature scaling method using naive Bayes classifier for text datamining. Pattern Recognition Letters. 30(5). 477–485. 64 indexed citations
17.
Alabady, Magdy, Eunseog Youn, & Thea A. Wilkins. (2008). Double feature selection and cluster analyses in mining of microarray data from cotton. BMC Genomics. 9(1). 295–295. 19 indexed citations
19.
Youn, Eunseog, et al.. (2006). Identification of similar regions of protein structures using integrated sequence and structure analysis tools. BMC Structural Biology. 6(1). 4–4. 19 indexed citations
20.
Youn, Eunseog, et al.. (2006). Evaluation of features for catalytic residue prediction in novel folds. Protein Science. 16(2). 216–226. 62 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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