Jooyong Shim

583 total citations
63 papers, 382 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 63 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Statistics and Probability, 23 papers in Control and Systems Engineering and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jooyong Shim's work include Statistical Methods and Inference (22 papers), Face and Expression Recognition (18 papers) and Advanced Statistical Methods and Models (17 papers). Jooyong Shim is often cited by papers focused on Statistical Methods and Inference (22 papers), Face and Expression Recognition (18 papers) and Advanced Statistical Methods and Models (17 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, Jae Won Lee, Youngmin Kim, Sangwoo Seo, Woo‐Chan Son, Sujong Kim, Paul E. Green and Okmyung Bin and has published in prestigious journals such as PLoS ONE, Scientific Reports and Neurocomputing.

In The Last Decade

Jooyong Shim

56 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jooyong Shim South Korea	10	113	85	77	62	57	63	382
Xin Dang United States	11	146 1.3×	33 0.4×	190 2.5×	28 0.5×	55 1.0×	44	462
Céline Lévy‐Leduc France	13	267 2.4×	171 2.0×	99 1.3×	78 1.3×	17 0.3×	41	656
Shunpu Zhang United States	12	169 1.5×	133 1.6×	106 1.4×	21 0.3×	16 0.3×	45	442
Chris Hans United States	6	307 2.7×	260 3.1×	314 4.1×	24 0.4×	40 0.7×	8	741
Miao Bai-qi China	12	282 2.5×	25 0.3×	109 1.4×	32 0.5×	13 0.2×	47	514
Christos P. Kitsos Greece	11	117 1.0×	36 0.4×	43 0.6×	51 0.8×	170 3.0×	48	499
Pranesh Kumar Canada	12	98 0.9×	12 0.1×	57 0.7×	39 0.6×	37 0.6×	55	372
C.-L. Tsai China	5	628 5.6×	61 0.7×	150 1.9×	97 1.6×	14 0.2×	6	780
Aldo Goia Italy	10	368 3.3×	22 0.3×	176 2.3×	63 1.0×	20 0.4×	22	619

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

Sort: Min cites: Since: Top N: Style:

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. 57 indexed citations

Shim, Jooyong, Joongheon Kim, & Jong‐Kook Kim. (2021). On the Tradeoff between Computation-Time and Learning-Accuracy in GAN-based Super-Resolution Deep Learning. 422–424. 1 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

Shim, Jooyong & Changha Hwang. (2018). Kernel-based geographically and temporally weighted autoregressive model for house price estimation. PLoS ONE. 13(10). e0205063–e0205063. 11 indexed citations

Shim, Jooyong, et al.. (2017). Geographically weighted least squares-support vector machine. Journal of the Korean Data and Information Science Society. 28(1). 227–235. 2 indexed citations

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

Shim, Jooyong, et al.. (2011). Cox proportional hazard model with L1 penalty. 22(3). 613–618. 1 indexed citations

Hwang, Changha, et al.. (2011). Variable selection in L1 penalized censored regression. 22(5). 951–959. 1 indexed citations

Hwang, Changha & Jooyong Shim. (2010). Semiparametric support vector machine for accelerated failure time model. 21(4). 765–775. 4 indexed citations

10.

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. 5 indexed citations

11.

Shim, Jooyong, et al.. (2010). Estimation of nonlinear GARCH-M model. 21(5). 831–839. 1 indexed citations

12.

Shim, Jooyong, et al.. (2010). Restricted support vector quantile regression without crossing. 21(6). 1319–1325. 4 indexed citations

13.

Shim, Jooyong, et al.. (2009). Kernel method for autoregressive data. 20(5). 949–954. 8 indexed citations

14.

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. 1 indexed citations

15.

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.

16.

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

17.

Shim, Jooyong, et al.. (2008). Kernel Poisson Regression for Longitudinal Data. Journal of the Korean Data and Information Science Society. 19(4). 1353–1360. 7 indexed citations

18.

Shim, Jooyong. (2005). Censored Kernel Ridge Regression. 16(4). 1045–1052. 4 indexed citations

19.

Shim, Jooyong. (2005). e-SVR using IRWLS Procedure. Journal of the Korean Data and Information Science Society. 16(4). 1087–1094. 1 indexed citations

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.

Explore authors with similar magnitude of impact