Gwangsu Kim

407 total citations
27 papers, 316 citations indexed

About

Gwangsu Kim is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gwangsu Kim has authored 27 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gwangsu Kim's work include Statistical Methods and Inference (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Statistical Distribution Estimation and Applications (5 papers). Gwangsu Kim is often cited by papers focused on Statistical Methods and Inference (8 papers), Statistical Methods and Bayesian Inference (7 papers) and Statistical Distribution Estimation and Applications (5 papers). Gwangsu Kim collaborates with scholars based in South Korea, United States and Italy. Gwangsu Kim's co-authors include Chang D. Yoo, Bo‐Yeon Lee, Keon Jae Lee, Young-Hoon Jung, Jae Hyun Han, Tae Hong Im, Seong Kwang Hong, Chang Kyu Jeong, Hee Seung Wang and Youngjo Lee and has published in prestigious journals such as Journal of Hydrology, Nano Energy and Science Advances.

In The Last Decade

Gwangsu Kim

23 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gwangsu Kim South Korea	7	195	89	65	49	37	27	316
Ismail Saad Malaysia	11	87 0.4×	53 0.6×	236 3.6×	19 0.4×	8 0.2×	90	468
Sunghun Kang South Korea	8	247 1.3×	96 1.1×	107 1.6×	74 1.5×	51 1.4×	11	453
Sudong Lee South Korea	6	231 1.2×	88 1.0×	51 0.8×	58 1.2×	52 1.4×	15	301
Junyeong Kim South Korea	7	251 1.3×	97 1.1×	88 1.4×	74 1.5×	53 1.4×	23	469
Jinyang Yang China	7	140 0.7×	79 0.9×	96 1.5×	32 0.7×	12 0.3×	22	291
Yuhang Li China	5	106 0.5×	32 0.4×	41 0.6×	43 0.9×	49 1.3×	9	264
Juliana Cherston United States	7	254 1.3×	91 1.0×	77 1.2×	85 1.7×	65 1.8×	15	356
Congjun Cao China	12	118 0.6×	28 0.3×	46 0.7×	46 0.9×	27 0.7×	36	347
Il-Min Yi South Korea	10	226 1.2×	77 0.9×	237 3.6×	48 1.0×	29 0.8×	28	372
Jiangtao Yang China	10	172 0.9×	37 0.4×	105 1.6×	42 0.9×	89 2.4×	20	351

Countries citing papers authored by Gwangsu Kim

Since Specialization

Citations

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

Fields of papers citing papers by Gwangsu Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gwangsu Kim

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

Kim, Gwangsu, et al.. (2024). Hypothesis Perturbation for Active Learning. IEEE Journal of Selected Topics in Signal Processing. 19(1). 115–128. 1 indexed citations

Kim, Gwangsu, et al.. (2024). Deep Neural Network‐Based Accelerated Failure Time Models Using Rank Loss. Statistics in Medicine. 43(28). 5331–5343.

Kim, Gwangsu, Chang D. Yoo, & Yongdai Kim. (2023). Bayesian Analysis of the Generalized Additive Proportional Hazards Model: Asymptotic Studies. Bayesian Analysis. 19(4). 1 indexed citations

Han, Mira & Gwangsu Kim. (2022). A Longitudinal Relationship between Parental Abuse and Adolescent Aggression: Autoregressive Cross-Lagged Modeling. 30(4). 75–95. 1 indexed citations

Lee, Jung-Hyun, et al.. (2022). Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold. Proceedings of the AAAI Conference on Artificial Intelligence. 36(7). 7363–7371. 8 indexed citations

Kang, Sunghun, Gwangsu Kim, & Chang D. Yoo. (2022). Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation. Sensors. 22(14). 5271–5271. 2 indexed citations

Wang, Hee Seung, Seong Kwang Hong, Jae Hyun Han, et al.. (2021). Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics. Science Advances. 7(7). 184 indexed citations

Lee, Youngjo & Gwangsu Kim. (2019). Properties of h‐Likelihood Estimators in Clustered Data. International Statistical Review. 88(2). 380–395. 6 indexed citations

Yoo, Chang D., et al.. (2019). Digital Forensics and Watermarking. Lecture notes in computer science. 4 indexed citations

10.

Kim, Gwangsu & Taeryon Choi. (2018). Asymptotic properties of nonparametric estimation and quantile regression in Bayesian structural equation models. Journal of Multivariate Analysis. 171. 68–82. 1 indexed citations

11.

Kim, Gwangsu. (2018). Posterior consistency in frailty models and simulation studies to test the presence of random effects. Journal of the Korean Statistical Society. 48(1). 146–168. 1 indexed citations

12.

Kim, Gwangsu, Yongdai Kim, & Taeryon Choi. (2017). Bayesian Analysis of the Proportional Hazards Model with Time‐Varying Coefficients. Scandinavian Journal of Statistics. 44(2). 524–544. 7 indexed citations

13.

Kim, Gwangsu & Youngjo Lee. (2017). Marginal versus conditional beta-binomial regression models. Statistical Methods in Medical Research. 28(3). 761–769. 1 indexed citations

14.

Kim, Gwangsu & Seong‐Whan Lee. (2016). Bayesian test for hazard ratio in survival analysis. SpringerPlus. 5(1). 649–649.

15.

Jang, Woncheol, Gwangsu Kim, & Joungyoun Kim. (2016). Current trends in high dimensional massive data analysis. Korean Journal of Applied Statistics. 29(6). 999–1005.

16.

Kim, Gwangsu, et al.. (2016). Bayesian analysis to detect abrupt changes in extreme hydrological processes. Journal of Hydrology. 538. 63–70. 10 indexed citations

17.

Lee, Youngjo & Gwangsu Kim. (2015). H‐likelihood Predictive Intervals for Unobservables. International Statistical Review. 84(3). 487–505. 10 indexed citations

18.

Choi, Nakjung, Jeongran Lee, & Gwangsu Kim. (2014). A statistical approach to smooth video quality adaptation in IEEE 802.11 wireless LANs. 530–531. 1 indexed citations

19.

Kim, Yongdai, Jin Kyung Park, & Gwangsu Kim. (2010). Bayesian analysis for monotone hazard ratio. Lifetime Data Analysis. 17(2). 302–320. 6 indexed citations

20.

Kim, Gwangsu, Jong‐June Jeon, & Hosik Choi. (2009). A Comparison Study of Correlation Modeling. The Korean Data Analysis Society. 11(6). 3319–3329. 1 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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