Jongwoo Song

751 total citations
39 papers, 570 citations indexed

About

Jongwoo Song is a scholar working on Artificial Intelligence, Information Systems and Finance. According to data from OpenAlex, Jongwoo Song has authored 39 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Finance. Recurrent topics in Jongwoo Song's work include Statistical Methods and Inference (5 papers), Stochastic processes and financial applications (4 papers) and Online Learning and Analytics (3 papers). Jongwoo Song is often cited by papers focused on Statistical Methods and Inference (5 papers), Stochastic processes and financial applications (4 papers) and Online Learning and Analytics (3 papers). Jongwoo Song collaborates with scholars based in South Korea, United States and Portugal. Jongwoo Song's co-authors include Harold Kistler, Xiaoying Zhou, Kyeyong Seong, Susan P. McCormick, Matias Pasquali, Jin‐Rong Xu, Yanhong Dong, Dan L. Nicolae, David A. Glesne and Allison K. Wilson and has published in prestigious journals such as PLoS ONE, Molecular Microbiology and Expert Systems with Applications.

In The Last Decade

Jongwoo Song

33 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jongwoo Song South Korea	10	219	139	136	60	54	39	570
Chansoo Kim South Korea	14	134 0.6×	18 0.1×	91 0.7×	42 0.7×	15 0.3×	110	758
Chanjuan Liu China	17	82 0.4×	21 0.2×	111 0.8×	63 1.1×	21 0.4×	81	988
Yangyang Cui China	17	309 1.4×	134 1.0×	150 1.1×	17 0.3×	75 1.4×	61	932
Qianqian Zhang China	16	200 0.9×	25 0.2×	146 1.1×	125 2.1×	25 0.5×	66	811
Jinhong You China	17	168 0.8×	106 0.8×	63 0.5×	94 1.6×	30 0.6×	88	1.0k
Aleksander Jankowski Poland	11	162 0.7×	13 0.1×	513 3.8×	127 2.1×	8 0.1×	15	1.0k
Nathan Pollesch United States	9	47 0.2×	19 0.1×	99 0.7×	12 0.2×	226 4.2×	12	736
Hanfang Yang China	14	20 0.1×	12 0.1×	127 0.9×	90 1.5×	16 0.3×	33	564
Weizhong Liu China	15	348 1.6×	140 1.0×	302 2.2×	19 0.3×	16 0.3×	63	841

Countries citing papers authored by Jongwoo Song

Since Specialization

Citations

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

Fields of papers citing papers by Jongwoo Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jongwoo Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jongwoo Song. A scholar is included among the top collaborators of Jongwoo Song 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 Jongwoo Song. Jongwoo Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Song, Jongwoo, et al.. (2025). Analysis of imbalanced data using cost-sensitive learning. Communication in Statistics- Theory and Methods. 54(22). 7286–7300.

Kim, Jimin, et al.. (2024). Option pricing and profitability: A comprehensive examination of machine learning, Black-Scholes, and Monte Carlo method. Communications for Statistical Applications and Methods. 31(5). 585–599.

Song, Jongwoo, et al.. (2023). Recent deep learning methods for tabular data. Communications for Statistical Applications and Methods. 30(2). 215–226. 16 indexed citations

Song, Jongwoo, et al.. (2023). A comparison of imputation methods using machine learning models. Communications for Statistical Applications and Methods. 30(3). 331–341. 4 indexed citations

Song, Jongwoo, et al.. (2019). Consumer behavior prediction using Airbnb web log data. Korean Journal of Applied Statistics. 32(3). 391–404. 1 indexed citations

Cho, Soojin, et al.. (2019). A study on the number of passengers using the subway stations in Seoul. 32(1). 111–128. 1 indexed citations

Song, Jongwoo, et al.. (2017). Robust gene selection methods using weighting schemes for microarray data analysis. BMC Bioinformatics. 18(1). 389–389. 14 indexed citations

Jo, Il‐Hyun, Yeonjeong Park, & Jongwoo Song. (2017). Comparisons on Clustering Methods: Use of LMS Log Variables on Academic Courses. 18(2). 159–191. 2 indexed citations

김현주, et al.. (2017). Malware classification using statistical techniques. Korean Journal of Applied Statistics. 30(6). 851–865. 2 indexed citations

10.

Kim, Milim, et al.. (2017). A study on entertainment TV show ratings and the number of episodes prediction. Korean Journal of Applied Statistics. 30(6). 809–825. 1 indexed citations

11.

Song, Jongwoo, et al.. (2015). Classification Analysis for Unbalanced Data. Korean Journal of Applied Statistics. 28(3). 495–509. 1 indexed citations

12.

Park, Yeonjeong, et al.. (2014). Predicting students' learning achievement by using online learning patterns in blended learning environments: Comparison of two cases on linear and non-linear model.. Educational Data Mining. 407–408. 3 indexed citations

13.

Jo, Il‐Hyun, Yeonjeong Park, Jeonghyun Kim, & Jongwoo Song. (2014). Analysis of Online Behavior and Prediction of Learning Performance in Blended Learning Environments. 15(2). 71–88. 13 indexed citations

14.

Song, Jongwoo, et al.. (2013). Identification of Cichlid Fishes from Lake Malawi Using Computer Vision. PLoS ONE. 8(10). e77686–e77686. 15 indexed citations

15.

Song, Jongwoo, et al.. (2012). Estimation of Car Insurance Loss Ratio Using the Peaks over Threshold Method. Korean Journal of Applied Statistics. 25(1). 101–114. 1 indexed citations

16.

Nicolae, Dan L., et al.. (2010). Estimating the mixing proportion in a semiparametric mixture model. Computational Statistics & Data Analysis. 54(10). 2276–2283. 5 indexed citations

17.

Seong, Kyeyong, Matias Pasquali, Xiaoying Zhou, et al.. (2009). Global gene regulation by Fusarium transcription factors Tri6 and Tri10 reveals adaptations for toxin biosynthesis. Molecular Microbiology. 72(2). 354–367. 225 indexed citations

18.

Song, Jongwoo. (2008). A Comparison of Classification Methods for Credit Card Approval Using R. Journal of the Korean society for quality management. 36(1). 72–79. 3 indexed citations

19.

Song, Jongwoo, et al.. (2008). Nonlinear Regression for an Asymptotic Option Price. Korean Journal of Applied Statistics. 21(5). 755–763. 1 indexed citations

20.

Abimanyu, Haznan, Kye Sang Yoo, Dong Ju Moon, Byoung Sung Ahn, & Jongwoo Song. (2005). Model to predict dimethyl carbonate synthesis through transesterification of ethylene carbonate with methanol in fixed-bed reactor. Journal of Industrial and Engineering Chemistry. 11(4). 502–506. 7 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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