Youngseuk Cho

593 total citations
28 papers, 415 citations indexed

About

Youngseuk Cho is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Periodontics. According to data from OpenAlex, Youngseuk Cho has authored 28 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 11 papers in Statistics, Probability and Uncertainty and 5 papers in Periodontics. Recurrent topics in Youngseuk Cho's work include Statistical Distribution Estimation and Applications (12 papers), Probabilistic and Robust Engineering Design (9 papers) and Oral microbiology and periodontitis research (5 papers). Youngseuk Cho is often cited by papers focused on Statistical Distribution Estimation and Applications (12 papers), Probabilistic and Robust Engineering Design (9 papers) and Oral microbiology and periodontitis research (5 papers). Youngseuk Cho collaborates with scholars based in South Korea. Youngseuk Cho's co-authors include Kyeongjun Lee, Hokeun Sun, Bok Hee Woo, Jae Min Song, Yong‐Deok Kim, Hae Ryoun Park, Byung‐Joo Lee, Jihye Lee, Sung‐Chan Shin and Yong-Il Cheon and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Youngseuk Cho

26 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youngseuk Cho South Korea 10 309 232 88 41 38 28 415
A. Habibi Rad Iran 8 287 0.9× 187 0.8× 26 0.3× 7 0.2× 66 1.7× 15 332
Ali A. Al-Shomrani Saudi Arabia 6 307 1.0× 184 0.8× 73 0.8× 48 1.3× 21 351
Kyeongjun Lee South Korea 8 332 1.1× 247 1.1× 90 1.0× 53 1.4× 41 362
Adriano K. Suzuki Brazil 10 232 0.8× 86 0.4× 37 0.4× 1 0.0× 25 0.7× 55 294
S.M.T.K. MirMostafaee Iran 11 318 1.0× 224 1.0× 69 0.8× 57 1.5× 37 336
El-Sayed A. El-Sherpieny Egypt 13 384 1.2× 176 0.8× 86 1.0× 1 0.0× 36 0.9× 45 443
Hiba Z. Muhammed Egypt 12 372 1.2× 205 0.9× 101 1.1× 54 1.4× 37 408
M. E. Bakr Saudi Arabia 11 358 1.2× 222 1.0× 70 0.8× 61 1.6× 89 417
S.K. Ashour Egypt 11 366 1.2× 218 0.9× 74 0.8× 70 1.8× 40 421
Abdulhakim A. Al-Babtain Saudi Arabia 11 413 1.3× 207 0.9× 86 1.0× 61 1.6× 31 438

Countries citing papers authored by Youngseuk Cho

Since Specialization
Citations

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

Fields of papers citing papers by Youngseuk Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngseuk Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Youngseuk Cho. A scholar is included among the top collaborators of Youngseuk Cho 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 Youngseuk Cho. Youngseuk Cho 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.
Joo, Ji‐Young, et al.. (2023). Increased prevalence of periodontitis with hypouricemic status: findings from the Korean National Health and Nutrition Examination Survey, 2016–2018. Journal of Periodontal & Implant Science. 53(4). 283–283. 2 indexed citations
2.
Cho, Youngseuk, et al.. (2023). Sentiment ratio word graph using “local university” news articles and text mining. The Korean Data Analysis Society. 25(5). 1749–1757. 1 indexed citations
3.
Shin, Sung‐Chan, et al.. (2022). Diagnosis of Early Glottic Cancer Using Laryngeal Image and Voice Based on Ensemble Learning of Convolutional Neural Network Classifiers. Journal of Voice. 39(1). 245–257. 23 indexed citations
4.
Cho, Youngseuk, et al.. (2022). Evaluation of Korean Firefighters’ Fitness Using Candidate Physical Ability Test: Pilot Study. SHILAP Revista de lepidopterología. 24(3). 31–38. 1 indexed citations
5.
Kim, Hyun‐Joo, et al.. (2021). Retrospective analysis of the effects of non-communicable diseases on periodontitis treatment outcomes. Journal of Periodontal & Implant Science. 52(3). 183–183. 1 indexed citations
7.
Hwang, Sungu, et al.. (2019). Association between body mass index and fitness in Korean adults according to the lump mean value and Gaussian fitting. Medical Hypotheses. 135. 109471–109471. 3 indexed citations
8.
Song, Jae Min, Bok Hee Woo, Jihye Lee, et al.. (2019). Oral Administration of Porphyromonas gingivalis, a Major Pathogen of Chronic Periodontitis, Promotes Resistance to Paclitaxel in Mouse Xenografts of Oral Squamous Cell Carcinoma. International Journal of Molecular Sciences. 20(10). 2494–2494. 24 indexed citations
9.
Woo, Bok Hee, Byung‐Joo Lee, Youngseuk Cho, et al.. (2019). Serum Levels of Interleukin-6 and Titers of Antibodies against Porphyromonas gingivalis Could Be Potential Biomarkers for the Diagnosis of Oral Squamous Cell Carcinoma. International Journal of Molecular Sciences. 20(11). 2749–2749. 27 indexed citations
10.
Kim, Dong‐Hee, Jeong‐An Gim, Anshuman Mishra, et al.. (2017). SNP analysis of genes related to cholesterol metabolism and associated with late-onset Alzheimer’s disease. Genes & Genomics. 39(6). 593–600. 1 indexed citations
11.
Lee, Kyeongjun & Youngseuk Cho. (2016). Bayesian and maximum likelihood estimations of the inverted exponentiated half logistic distribution under progressive Type II censoring. Journal of Applied Statistics. 44(5). 811–832. 31 indexed citations
12.
Cho, Youngseuk, Hokeun Sun, & Kyeongjun Lee. (2015). Estimating the Entropy of a Weibull Distribution under Generalized Progressive Hybrid Censoring. Entropy. 17(1). 102–122. 60 indexed citations
13.
Lee, Kyeongjun, et al.. (2015). The effect of road weather factors on traffic accident - Focused on Busan area -. Journal of the Korean Data and Information Science Society. 26(3). 661–668. 1 indexed citations
14.
Lee, Kyeongjun, Hokeun Sun, & Youngseuk Cho. (2015). Exact likelihood inference of the exponential parameter under generalized Type II progressive hybrid censoring. Journal of the Korean Statistical Society. 45(1). 123–136. 39 indexed citations
15.
Lee, Kyeong‐Jun, Bong‐Hwan Choi, Hee-Eun Lee, et al.. (2015). Statistical modeling for selecting a superior working dog using microsatellite loci. Genes & Genomics. 37(11). 969–976. 2 indexed citations
16.
Cho, Youngseuk, Hokeun Sun, & Kyeongjun Lee. (2014). Exact likelihood inference for an exponential parameter under generalized progressive hybrid censoring scheme. Statistical Methodology. 23. 18–34. 87 indexed citations
17.
Cho, Youngseuk, et al.. (2012). Density Functional Theoretical Study on the Hydricities of(η5-C5H5)M(CO)2H (M = Fe, Ru, and Os) in Acetonitrile. Bulletin of the Korean Chemical Society. 33(4). 1413–1415. 3 indexed citations
18.
Cho, Youngseuk, et al.. (2012). An Estimation of the Entropy for a Double Exponential Distribution Based on Multiply Type-II Censored Samples. Entropy. 14(2). 161–173. 26 indexed citations
19.
Lee, Kyeongjun, et al.. (2011). Inference Based on Generalized Doubly Type-II Hybrid Censored Sample from a Half Logistic Distribution. Communications for Statistical Applications and Methods. 18(5). 645–655. 3 indexed citations
20.
Cho, Youngseuk, et al.. (2008). Estimation for the Half Logistic Distribution under Progressive Type-II Censoring. Communications for Statistical Applications and Methods. 15(6). 815–823. 16 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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