Publications
Beach, S.R.H., Brody, G.H., Lei, M.K,Kim, S., Cui, J., Philibert, R.A. (2014). Is Sero-tonin Transporter Genotype Associated with Epigenetic Susceptibility or Vulnerability?Examination of the Impact of SES Risk on Among African American Youth.Develop-ment and Psychopathology, 26(2), 289-304, (impact factor in 2017: 4.357).
Steven R.H. Beach, Man-Kit Lei, Gene H. Brody,Sangjin Kim, Allen W. Barton, MeeshaV. Dogan and Robert A. Philibert (2016). Parenting, SES-risk, and later Young AdultHealth: Exploration of opposing indrect effects via DNA methylation.Child Develop-ment, 87(1), 111-121, (impact factor in 2017: 3.779).
Sangjin Kima nd Schliekelman Paul (2016). Prioritizing Hypothesis Tests for HighThroughput Data.Bioinformatics, 32(6): 850-8.doi:10.1093/bioinformatics/btv608,(impact factor in 2017: 5.481).
Sangjin Kim and Susan Halabi (2016). High Dimensional Variable Selection with ErrorControl.Biomed Research International, doi:10.1155/2016/8209453, (impact factor in2017: 2.583) .
Seung Hee Cho, Yohan Choi, Sean Hyungwoo Kim,Sang Jin Kim, and Jongwha Chang(2017). Urinary bisphenol A versus serum bisphenol A concentration and ovarian repro-ductive outcomes among IVF patients: Which is a better biomarker of BPA exposure?Mol Cell Toxicol, 13: 351-359. doi:10.1007/s13273-017-0039-0,(impact factor in 2017:1.430).
Namsoo P.Kim, Brandom Cepeda, Jihye Kim, Guikuan Yue,Sangjin Kim, and HyunjinKim (IEEE CPS, December 27, 2018). IoT Controlled Screw-Type 3D Food PrinterUsing Single Line Design Technique .
Sangjin Kim, Jihye Kim, Brandom Cepeda and Namsoo P. Kim (IEEE CPS, December27, 2018). Single Line Design Technique to Improve the Accuracy of Drug DeliverySystem: Piston Type Extrusion.
Showaib Sarker, Michael Pokojovy, and Sangjin Kim∗, (2019). On the Performance ofVariable Selection and Classification via Rank-Based Classifier.Mathematics (SCIE),7(5), 457; https://doi.org/10.3390/math7050457 .
Sangjin Kim∗and Jong-Min Kim (2019). Two-Stage classification with SIS using anew filter ranking method in high throughput data.Mathematics (SCIE),7(6), 493;https://doi.org/10.3390/math7060493.
Abhijeet R Patil, Jongwha Chang, Ming-Ying Leung, and Sangjin Kim∗(2019).Analyz-ing high dimensional correlated data using feature ranking and classifiers. Computa-tional and Mathematical Biophysics,7(1); https://doi.org/10.1515/cmb-2019-0008.
Abhijeet R Patil and Sangjin Kim∗(2020). Combination of Ensembles of RegularizedRegression Models with Resampling-Based Lasso Feature Selection in High Dimen-sional Data.Mathematics (SCIE), 8(1), 110; https://doi.org/10.3390/math8010110.
Abhijeet Patil, Bong-Jin Choi and Sangjin Kim(2020). Improving the classification per-formance with group lasso based ranking method.Journal of Theoretical & Computa-tional Chemistry (SCIE), DOI: 10.1142/S021963362040009X.
Abhijeet Patil and Sangjin Kim(2020). Adaptive lasso weights based on normalizedfiltering scores in molecular big data.Journal of Theoretical & Computational Chem-istry(SCIE), DOI: 10.1142/S0219633620400106.
Sangjin Kim, Michael Pokojovy, and Xiang Wan (2020). The Taut String Approachto Statistical Inverse Problems: Theory and Application.Computational Mathemat-ics(SCIE), vol 382, https://doi.org/10.1016/j.cam.2020.113098.
Jong-Min Kim,Sangjin Kim*, and Seong-Tae Kim (2020). On the Relationship of Cryp-tocurrency Price with US Stock and Gold Price Using Copula Models.Mathemat-ics(SCIE), 8(11), 1859; https://doi.org/10.3390/math8111859
Alberto Marin, Kristopher Van Huss, John Corbett,Sangjin Kim, Jonathon Mohl; Bo-young Hong, Jorge Cervantes(2020). Human macrophage polarization in the responseto Mycobacterium leprae genomic DNA.Current Research in Microbial Sciences(SCIE).
Sang Ha Sung,Sangjin Kim, Min Ho Ryu (2020).A Comparative Study on the Perfor-mance of Machine Learning Models for the Prediction of Fine Dust: Focusing on Do-mestic and Overseas Factors.INNOVATION STUDIES:KCI.
Sang-Ha Sung, Sangjin Kim* (2021) A Study on Facial Expression Change Detec-tion Using Machine Learning Methods with Feature Selection Technique. Mathematics(SCIE),9(17), 2062; https://doi.org/10.3390/math9172062.
B Noh, H Yoon, C Youm*,SKim*, M Lee, H Park, B Kim, H Choi, Y Noh (2021). Pre-diction of Decline in GlobalCognitive Function Using Machine Learning with FeatureRanking of Gait and Physical Fitness Outcomes in Older Adults.International jouranlof environmental research and public health(SCIE), 18(21),11347;https://doi.org/10.3390/ijerph182111347 (SCIE).
M Lee, Y Noh, C Youm*,SKim*, H Park, B Noh, B Kim, H Choi, H Yoon (2021). Es-timating Health Related Quality of Life Based on Demographic Characteristics, Ques-tionaires, Gait Ability, and Physical Fitness in Korean Elderly Adults.Internationaljouranl of environmental research and public health(SCIE), 18(22),11816;https://doi.org/10.3390/ijerph182211816 (SCIE).
Hyun-Ji Shin, Hyemin Yoon, Sangjin Kim, Do-Young Kang(2022).Classification of Alzheimer’s Disease using Dual Phase 18F- Florbetaben Image with Ranked Based Feature Selection and Machine Learning, Appl.Sci. 2022,12,7355 https://doi.org/10.3390/app12157355 (SCIE).
Jong-Min Kim, Hope.Han Kim, Sangjin Kim(2022). Forecasting Crude Oil prices with Major SP 500 Stock Prices: Deep Learning, Gaussian Process, and Vine Copula, Axioms 2022,11,375. https://doi.org/10.3390/axioms11080375 (SCIE).
Sang-Ha Sung, Jong-Min Kim, Byung-Kown Kim, Sangjin Kim*(2022). A Study on Cryptocurrency Log Return Price Prediction Using Multivariate Time-Series Model, Axioms 2022,11(9), 448. https://doi.org/10.3390/axioms11090448 (SCIE)
Hyunji Shin, Soomin Jeon, Youngsoo Seol, Sangjin Kim, and Doyoung Kang(2023). Vision Transformer Approach for Classification of Alzheimer's Disease Using 18F-Florbetaben Brain Images, Appl.Sci. 2023. 13(6),3453. https://doi.org/10.3390/app13063453 (SCIE)
Sang Ha Sung, Chang Sung Seo, Min Ho Ryu, Sangjin Kim*(2023). Comparison of Machine Learning Methods Using Time series Data: Focusing on Inverter Data, Int. J. of Environment, Workplace and Employment, volume 7 issue 1, July 13, 2023, pp 13-33 https://doi.org/10.1504/IJEWE.2023.132428 (Scopus)
Yoonjae Noh, Jong-Min Kim, Sangjin Kim*(2023). Deep Learning Model for Multivariate High-frequency Time-Series Data: Financial Market Index Prediction, Mathematics, 2023,11(16), 3603; https://doi.org/10.3390/math11163603 (SCIE)
Yoonjae Noh, Yongil Yoon, Sangjin Kim(2024.2). Two Stage Classification Method for Individual Workout Status Prediction with Machine Learning Apporoach, Measurement, Volume22, 2024, issue1, page 121-129; https://doi.org/10.1080/15366367.2023.2246109
Hyemin Yoon, HyunJin Kim, Sangjin Kim*(2024.2). Validation and Implementation of Customer Classification System using Machine Learning. Measurement: Interdisciplinary Research and Perspective, https://doi.org/10.1080/15366367.2023.2246111.