Changha Hwang

1.3k total citations
79 papers, 889 citations indexed

About

Changha Hwang is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Changha Hwang has authored 79 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 22 papers in Artificial Intelligence and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in Changha Hwang's work include Statistical Methods and Inference (17 papers), Advanced Statistical Methods and Models (15 papers) and Face and Expression Recognition (14 papers). Changha Hwang is often cited by papers focused on Statistical Methods and Inference (17 papers), Advanced Statistical Methods and Models (15 papers) and Face and Expression Recognition (14 papers). Changha Hwang collaborates with scholars based in South Korea, United States and India. Changha Hwang's co-authors include Dug Hun Hong, Jooyong Shim, Insuk Sohn, Hyeun Jun Moon, Kyong Joo Oh, Tae Yoon Kim, C. W. Hutchings, J. L. Erskine, P. A. Dowben and A. Ballard Andrews and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and Scientific Reports.

In The Last Decade

Changha Hwang

72 papers receiving 830 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changha Hwang South Korea 16 269 249 189 125 95 79 889
Bertrand Clarke United States 13 314 1.2× 535 2.1× 93 0.5× 44 0.4× 61 0.6× 61 1.1k
Jianhua Z. Huang United States 15 382 1.4× 230 0.9× 123 0.7× 64 0.5× 234 2.5× 55 1.3k
Zdravko I. Botev Australia 13 200 0.7× 187 0.8× 127 0.7× 59 0.5× 55 0.6× 42 981
Marco Zaffalon Switzerland 24 257 1.0× 1.2k 4.7× 372 2.0× 82 0.7× 80 0.8× 120 1.8k
Lan Shu China 19 78 0.3× 226 0.9× 322 1.7× 160 1.3× 36 0.4× 99 986
Jianming Ye China 14 222 0.8× 139 0.6× 58 0.3× 53 0.4× 126 1.3× 52 930
Lakhdar Aggoun Oman 8 82 0.3× 352 1.4× 171 0.9× 248 2.0× 36 0.4× 41 1.2k
Luis Ángel García-Escudero Spain 22 499 1.9× 606 2.4× 57 0.3× 182 1.5× 157 1.7× 76 1.4k
Marlene Müller Germany 10 375 1.4× 206 0.8× 66 0.3× 79 0.6× 57 0.6× 17 984
Jürgen Franke Germany 18 421 1.6× 131 0.5× 93 0.5× 109 0.9× 47 0.5× 56 1.1k

Countries citing papers authored by Changha Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Changha Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changha Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Changha Hwang. A scholar is included among the top collaborators of Changha Hwang 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 Changha Hwang. Changha Hwang 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.
Hwang, Changha, et al.. (2023). A Study on the Differences in Regional Attractiveness of Recognized Local Stories. International Journal of Membrane Science and Technology. 10(4). 273–276. 1 indexed citations
2.
Kim, Minki, et al.. (2021). Machine-Learning-Based Android Malware Family Classification Using Built-In and Custom Permissions. Applied Sciences. 11(21). 10244–10244. 12 indexed citations
3.
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
4.
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. 18 indexed citations
5.
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
6.
Hwang, Changha, et al.. (2011). Variable selection in L1 penalized censored regression. 22(5). 951–959. 1 indexed citations
7.
Hwang, Changha. (2010). Support vector quantile regression for longitudinal datay. 21(2). 309–316. 2 indexed citations
8.
Hwang, Changha. (2010). M-quantile regression using kernel machine technique. Journal of the Korean Data and Information Science Society. 21(5). 973–981. 4 indexed citations
9.
Hwang, Changha, et al.. (2010). Estimating GARCH models using kernel machine learning. Journal of the Korean Data and Information Science Society. 21(3). 419–425. 3 indexed citations
10.
Hwang, Changha & Jooyong Shim. (2010). Semiparametric support vector machine for accelerated failure time model. 21(4). 765–775. 4 indexed citations
11.
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
12.
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.
13.
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
14.
Hwang, Changha. (2008). Mixed Effects Kernel Binomial Regression. Journal of the Korean Data and Information Science Society. 19(4). 1327–1334. 1 indexed citations
15.
Hwang, Changha. (2007). Kernel Machine for Poisson Regression. Journal of the Korean Data and Information Science Society. 18(3). 767–772. 3 indexed citations
16.
Park, Hye-Jung & Changha Hwang. (2006). Weighted Support Vector Machines for Heteroscedastic Regression. Journal of the Korean Data and Information Science Society. 17(2). 467–474. 1 indexed citations
17.
Hwang, Changha & Dug Hun Hong. (2005). ANALYZING THE NONLINEAR TIME SERIES OF TURBULENT FLOWS WITH KERNEL INTERVAL REGRESSION MACHINE. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 13(4). 365–380. 1 indexed citations
18.
Gupta, Phalguni, et al.. (2003). MAINTAINING CONNECTED COMPONENTS IN QUADTREE-BASED REPRESENTATION OF IMAGES. 2(1). 53–60.
19.
Hwang, Changha. (2003). Support Vector Median Regression. Journal of the Korean Data and Information Science Society. 14(1). 67–74. 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.

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