---
title: "Journal of the Korean Statistical Society: recent papers"
description: "Journal of the Korean Statistical Society published 4 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #212 of 392 journals."
url: https://scholar4ai.com/journals/journal-of-the-korean-statistical-society
markdown_url: https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "Journal of the Korean Statistical Society published 4 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #212 of 392 journals."
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-30T12:46:54+09:00
window: 2026-10-01 to 2026-10-30
source: OpenAlex (CC0)
---

# Journal of the Korean Statistical Society

- 0 papers in the last 7 days
- category: Statistics
- publisher: Elsevier BV
- ISSN 1226-3192

Back to the ranking: https://scholar4ai.com/rankings/journals.md

## Key findings

- Journal of the Korean Statistical Society published 4 papers in the last 30 days (2026-10-01 to 2026-10-30), ranking #212 of 392 journals.
- Leading institutions: Shandong University (1), Beijing University of Technology (1) and National University of Singapore (1).
- Countries: China (3), Singapore (1) and United States (1).
- From Oct 2023 to Sep 2026, Journal of the Korean Statistical Society published 161 papers (4 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “feature selection” (15), “asymptotic normality” (13) and “asymptotic distribution” (11).
- Its most-cited paper of the period is “Large sample properties of maximum likelihood estimator using moving extremes ranked set sampling” (2024-01-13), with 9 citations.
- Since October 2016, its most-cited paper is “Bayesian methods for dealing with missing data problems” (2018-04-13), with 84 citations.

## The last 36 months

*Papers by publication date, Oct 2023 to Sep 2026*

| Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---:|---:|---:|---:|
| 57 | 56 | 48 | 161 |

*Most frequent keywords, Oct 2023 to Sep 2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | feature selection | 15 |
| 2 | asymptotic normality | 13 |
| 3 | asymptotic distribution | 11 |
| 4 | change point detection | 9 |
| 5 | consistency | 8 |
| 6 | parameter estimation | 6 |
| 7 | survival analysis | 6 |
| 8 | dimensionality reduction | 5 |
| 9 | high-dimensional data | 5 |
| 10 | model misspecification | 5 |

*Most-cited papers published Oct 2023 to Sep 2026*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 9 | 0.3 | [Large sample properties of maximum likelihood estimator using moving extremes ranked set sampling](https://doi.org/10.1007/s42952-023-00251-2) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2024-01-13 | Han Wang, Wangxue Chen, Bingjie Li |
| 2 | 6 | 0.2 | [Genetic algorithm with a Bayesian approach for multiple change-point detection in time series of counting exceedances for specific thresholds](https://doi.org/10.1007/s42952-023-00227-2) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2023-10-09 | Biviana Marcela Suárez-Sierra, Arrigo Coen, Carlos A. Taimal |
| 3 | 6 | 0.3 | [Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks](https://doi.org/10.1007/s42952-025-00316-4) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2025-03-09 | Jeyong Lee, Hyeok Kyu Kwon, Minwoo Chae |
| 4 | 5 | 0.1 | [A novel doubling-tripling-threshold accepting hybrid algorithm for constructing asymmetric space-filling designs](https://doi.org/10.1007/s42952-023-00232-5) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2023-11-03 | A. M. Elsawah |
| 5 | 5 | 0.1 | [A review on concomitants of order statistics and its application in parameter estimation under ranked set sampling](https://doi.org/10.1007/s42952-023-00235-2) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2023-11-13 | Rohan D. Koshti, Kirtee K. Kamalja |

## Most-cited since October 2016

*The journal's most-cited papers published since October 2016*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 84 | 0.8 | [Bayesian methods for dealing with missing data problems](https://doi.org/10.1016/j.jkss.2018.03.002) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2018-04-13 | Zhihua Ma, Guanghui Chen |
| 2 | 60 | 0.7 | [Some reliability properties of extropy for residual and past lifetime random variables](https://doi.org/10.1007/s42952-019-00023-x) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2020-01-01 | Aswathy S. Krishnan, S. M. Sunoj, N. Unnikrishnan Nair |
| 3 | 53 | 0.7 | [Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection](https://doi.org/10.1007/s42952-020-00060-x) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2020-03-02 | Piotr Fryźlewicz |
| 4 | 46 | 0.4 | [Parameter and quantile estimation for the generalized Pareto distribution in peaks over threshold framework](https://doi.org/10.1016/j.jkss.2017.02.003) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2017-03-18 | Suyeon Kang, Jongwoo Song |
| 5 | 38 | 0.3 | [A new nonlinearity test to circumvent the limitation of Volterra expansion with application](https://doi.org/10.1016/j.jkss.2016.11.006) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2016-12-20 | Yongchang Hui, Wing‐Keung Wong, Zhidong Bai et al. |
| 6 | 33 | 0.4 | [Complete convergence for arrays of rowwise END random variables and its statistical applications under sub-linear expectations](https://doi.org/10.1016/j.jkss.2018.12.002) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2019-01-15 | Mengmei Xi, Yi Wu, Xuejun Wang |
| 7 | 30 | 0.3 | [On multivariate associated kernels to estimate general density functions](https://doi.org/10.1016/j.jkss.2017.10.002) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2017-11-22 | Célestin C. Kokonendji, Sobom M. Somé |
| 8 | 29 | 0.3 | [Least squares estimator of fractional Ornstein–Uhlenbeck processes with periodic mean](https://doi.org/10.1016/j.jkss.2017.06.002) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2017-07-01 | Salwa Bajja, Khalifa Es-Sebaiy, Lauri Viitasaari |
| 9 | 25 | 0.2 | [Modified proportional hazard rates and proportional reversed hazard rates models via Marshall–Olkin distribution and some stochastic comparisons](https://doi.org/10.1016/j.jkss.2017.10.003) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2017-11-11 | N. Balakrishnan, Ghobad Saadat Kia Barmalzan, Abedin Haidari |
| 10 | 24 | 0.2 | [Forecasting realized volatility: A review](https://doi.org/10.1016/j.jkss.2018.08.002) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | 2018-09-01 | Dong Wan Shin |

*Papers, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-22 | [Uniform convergence rate of the nonparametric estimator for integrated diffusion processes](https://doi.org/10.1007/s42952-026-00395-x) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | Shaolin Ji, Linlin Zhu | Shandong University |
| 2026-10-14 | [Semi-parametric Bayesian inference to shape-restricted partially linear additive mixed-effects negative binomial models for longitudinal data](https://doi.org/10.1007/s42952-026-00394-y) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | Miaojie Xia, Ya Liu, Jiang Du | Beijing University of Technology |
| 2026-10-05 | [Mixed-frequency sparse regression and high-frequency covariance estimation for conditional portfolio optimization](https://doi.org/10.1007/s42952-026-00392-0) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | Haitao Tian, Yingcun Xia, Lei Huang | University of Electronic Science and Technology of China; National University of Singapore; Southwest Jiaotong University |
| 2026-10-02 | [Intrinsic predictive density estimation on the sphere under additional information](https://doi.org/10.1007/s42952-026-00393-z) | [Journal of the Korean Statistical Society](https://scholar4ai.com/journals/journal-of-the-korean-statistical-society.md) | Abdolnasser Sadeghkhani | North Carolina Agricultural and Technical State University |

## Cite this page

Scholar4AI. (2026). Journal of the Korean Statistical Society. Journal Research Rankings. Retrieved October 30, 2026, from https://scholar4ai.com/journals/journal-of-the-korean-statistical-society

```bibtex
@misc{scholar4ai-journals-journal-of-the-korean-statistical-society,
  author = {{Scholar4AI}},
  title = {Journal of the Korean Statistical Society},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/journals/journal-of-the-korean-statistical-society}},
  urldate = {2026-10-30},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).