Jooyong Shim

577 total citations
54 papers, 306 citations indexed

About

Jooyong Shim is a scholar working on Statistics and Probability, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jooyong Shim has authored 54 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 18 papers in Control and Systems Engineering and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jooyong Shim's work include Statistical Methods and Inference (19 papers), Face and Expression Recognition (16 papers) and Advanced Statistical Methods and Models (11 papers). Jooyong Shim is often cited by papers focused on Statistical Methods and Inference (19 papers), Face and Expression Recognition (16 papers) and Advanced Statistical Methods and Models (11 papers). Jooyong Shim collaborates with scholars based in South Korea and United States. Jooyong Shim's co-authors include Changha Hwang, Insuk Sohn, Yongtae Kim, Sangwoo Seo, Youngmin Kim, Sujong Kim, Jae Won Lee, Woo‐Chan Son, Paul E. Green and Gyu‐Jeong Noh and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neurocomputing.

In The Last Decade

Jooyong Shim

46 papers receiving 282 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jooyong Shim	79	73	53	50	49	54	306
Shunpu Zhang	160 2.0×	130 1.8×	94 1.8×	16 0.3×	20 0.4×	45	418
Eric S. Fung	23 0.3×	47 0.6×	57 1.1×	19 0.4×	38 0.8×	14	249
Mohd Almie Alias	25 0.3×	19 0.3×	33 0.6×	54 1.1×	23 0.5×	23	254
Xuening Zhu	80 1.0×	25 0.3×	64 1.2×	11 0.2×	141 2.9×	39	343
Chris Hans	289 3.7×	243 3.3×	292 5.5×	37 0.7×	43 0.9×	8	681
Jussi Klemelä	158 2.0×	14 0.2×	110 2.1×	19 0.4×	39 0.8×	26	287
Pranesh Kumar	76 1.0×	10 0.1×	39 0.7×	31 0.6×	26 0.5×	46	275
Benoîte de Saporta	79 1.0×	15 0.2×	22 0.4×	11 0.2×	24 0.5×	25	218
Nalan Baştürk	88 1.1×	29 0.4×	85 1.6×	12 0.2×	103 2.1×	38	321
Yan‐Xia Lin	49 0.6×	69 0.9×	57 1.1×	5 0.1×	111 2.3×	64	386

Countries citing papers authored by Jooyong Shim

Since Specialization

Citations

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

Fields of papers citing papers by Jooyong Shim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jooyong Shim

This figure shows the co-authorship network connecting the top 25 collaborators of Jooyong Shim. A scholar is included among the top collaborators of Jooyong Shim 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 Jooyong Shim. Jooyong Shim 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

Shim, Jooyong, et al.. (2021). Prediction of drug–target binding affinity using similarity-based convolutional neural network. Scientific Reports. 11(1). 4416–4416. 52 indexed citations

Seo, Sangwoo, Youngmin Kim, Woo‐Chan Son, et al.. (2021). Predicting Successes and Failures of Clinical Trials With Outer Product–Based Convolutional Neural Network. Frontiers in Pharmacology. 12. 670670–670670. 25 indexed citations

Shim, Jooyong, et al.. (2019). Forecasting LNG prices with the kernel vector autoregressive model. Geosystem Engineering. 23(1). 37–42. 1 indexed citations

Park, Hosub, Sung‐Min Chun, Jooyong Shim, et al.. (2019). Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application. Scientific Reports. 9(1). 3644–3644. 16 indexed citations

Shim, Jooyong & Changha Hwang. (2018). Kernel-based geographically and temporally weighted autoregressive model for house price estimation. PLoS ONE. 13(10). e0205063–e0205063. 9 indexed citations

Hwang, Changha & Jooyong Shim. (2016). Deep LS-SVM for regression. Journal of the Korean Data and Information Science Society. 27(3). 827–833. 1 indexed citations

Shim, Jooyong, et al.. (2015). SVQR with asymmetric quadratic loss function. Journal of the Korean Data and Information Science Society. 26(6). 1537–1545.

Shim, Jooyong, Youngwon Kim, & Changha Hwang. (2013). Generalized kernel estimating equation for panel estimation of small area unemployment rates. Journal of the Korean Data and Information Science Society. 24(6). 1199–1210. 4 indexed citations

Hwang, Changha, et al.. (2012). Two-step LS-SVR for censored regression. Journal of the Korean Data and Information Science Society. 23(2). 393–401. 2 indexed citations

10.

Shim, Jooyong. (2011). Variable selection in the kernel Cox regression. Journal of the Korean Data and Information Science Society. 22(4). 795–801. 1 indexed citations

11.

Shim, Jooyong, et al.. (2011). Semiparametric mixed-effect least squares support vector machine for analyzing pharmacokinetic and pharmacodynamic data. Neurocomputing. 74(17). 3412–3419. 9 indexed citations

12.

Shim, Jooyong, et al.. (2010). Doubly penalized kernel method for heteroscedastic autoregressive datay. Journal of the Korean Data and Information Science Society. 21(1). 155–162. 4 indexed citations

13.

Shim, Jooyong, Hye-Jung Park, & Changha Hwang. (2009). A kernel machine for estimation of mean and volatility functions. Journal of the Korean Data and Information Science Society. 20(5). 905–912.

14.

Hwang, Changha, Jooyong Shim, Tae Yoon Kim, & Sangyeol Lee. (2009). Credibility estimation via kernel mixed effects model. Journal of the Korean Data and Information Science Society. 20(2). 445–452.

15.

Shim, Jooyong, et al.. (2008). Kernel Poisson Regression for Longitudinal Data. Journal of the Korean Data and Information Science Society. 19(4). 1353–1360. 3 indexed citations

16.

Hwang, Changha, et al.. (2008). Claims Reserving via Kernel Machine. Journal of the Korean Data and Information Science Society. 19(4). 1419–1427. 2 indexed citations

17.

Shim, Jooyong, et al.. (2008). Non-crossing quantile regression via doubly penalized kernel machine. Computational Statistics. 24(1). 83–94. 14 indexed citations

18.

Hwang, Changha & Jooyong Shim. (2008). Semiparametric Kernel Poisson Regression for Longitudinal Count Data. Communications for Statistical Applications and Methods. 15(6). 1003–1011. 1 indexed citations

19.

Shim, Jooyong. (2005). e-SVR using IRWLS Procedure. Journal of the Korean Data and Information Science Society. 16(4). 1087–1094.

20.

Shim, Jooyong & Changha Hwang. (2003). Prediction Intervals for LS-SVM Regression using the Bootstrap. Journal of the Korean Data and Information Science Society. 14(2). 337–343. 4 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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