Young‐Mi Min

484 total citations
15 papers, 401 citations indexed

About

Young‐Mi Min is a scholar working on Atmospheric Science, Global and Planetary Change and Management Science and Operations Research. According to data from OpenAlex, Young‐Mi Min has authored 15 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 2 papers in Management Science and Operations Research. Recurrent topics in Young‐Mi Min's work include Meteorological Phenomena and Simulations (13 papers), Climate variability and models (12 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). Young‐Mi Min is often cited by papers focused on Meteorological Phenomena and Simulations (13 papers), Climate variability and models (12 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). Young‐Mi Min collaborates with scholars based in South Korea, Russia and United States. Young‐Mi Min's co-authors include Vladimir N. Kryjov, June‐Yi Lee, Shang‐Ping Xie, Jasti S. Chowdary, Yu Kosaka, Chung-Kyu Park, Jai‐Ho Oh, Hyunju Lee, Soo‐Jin Sohn and Hyemi Kim and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Journal of Climate.

In The Last Decade

Young‐Mi Min

14 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Young‐Mi Min South Korea	9	377	350	129	28	17	15	401
Peter McLean United Kingdom	9	331 0.9×	289 0.8×	84 0.7×	21 0.8×	11 0.6×	15	365
Vladimir N. Kryjov South Korea	12	342 0.9×	316 0.9×	59 0.5×	24 0.9×	21 1.2×	25	384
P. V. Rajesh India	10	277 0.7×	247 0.7×	49 0.4×	35 1.3×	26 1.5×	16	318
Shaobo Qiao China	10	381 1.0×	347 1.0×	119 0.9×	23 0.8×	11 0.6×	22	413
Soo‐Jin Sohn South Korea	13	291 0.8×	225 0.6×	52 0.4×	23 0.8×	14 0.8×	23	323
E. Suhas India	9	387 1.0×	342 1.0×	99 0.8×	11 0.4×	13 0.8×	24	409
Rob Colman Australia	7	356 0.9×	267 0.8×	172 1.3×	12 0.4×	16 0.9×	7	386
Christophe Messager France	8	258 0.7×	252 0.7×	76 0.6×	17 0.6×	22 1.3×	19	328
Enda O’Brien United States	7	255 0.7×	187 0.5×	39 0.3×	23 0.8×	32 1.9×	22	295
Wen Xing China	9	347 0.9×	307 0.9×	125 1.0×	35 1.3×	8 0.5×	18	373

Countries citing papers authored by Young‐Mi Min

Since Specialization

Citations

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

Fields of papers citing papers by Young‐Mi Min

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Mi Min. 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 Young‐Mi Min. The network helps show where Young‐Mi Min may publish in the future.

Co-authorship network of co-authors of Young‐Mi Min

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Mi Min. A scholar is included among the top collaborators of Young‐Mi Min 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 Young‐Mi Min. Young‐Mi Min is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Min, Young‐Mi, et al.. (2025). RNN and GNN based prediction of agricultural prices with multivariate time series and its short-term fluctuations smoothing effect. Scientific Reports. 15(1). 13681–13681. 1 indexed citations

Min, Young‐Mi, et al.. (2024). Recent Challenges in the APCC Multi‐Model Ensemble Seasonal Prediction: Hindcast Period Issue. Journal of Geophysical Research Atmospheres. 129(7).

Min, Young‐Mi, et al.. (2019). Recent Progress and Future Prospects of Subseasonal and Seasonal Climate Predictions. Bulletin of the American Meteorological Society. 101(5). E640–E644. 7 indexed citations

Min, Young‐Mi, et al.. (2017). Skill of real-time operational forecasts with the APCC multi-model ensemble prediction system during the period 2008–2015. Climate Dynamics. 49(11-12). 4141–4156. 27 indexed citations

Kryjov, Vladimir N. & Young‐Mi Min. (2016). Predictability of the wintertime Arctic Oscillation based on autumn circulation. International Journal of Climatology. 36(12). 4181–4186. 10 indexed citations

Kim, Hyemi, et al.. (2016). Dynamical–statistical seasonal prediction for western North Pacific typhoons based on APCC multi-models. Climate Dynamics. 48(1-2). 71–88. 19 indexed citations

Min, Young‐Mi, et al.. (2014). Assessment of APCC Multi-Model Ensemble Prediction in Seasonal Climate Forecasting. 한국기상학회 학술대회 논문집. 365–366. 1 indexed citations

Min, Young‐Mi, et al.. (2014). Assessment of APCC multimodel ensemble prediction in seasonal climate forecasting: Retrospective (1983–2003) and real‐time forecasts (2008–2013). Journal of Geophysical Research Atmospheres. 119(21). 57 indexed citations

Kosaka, Yu, Jasti S. Chowdary, Shang‐Ping Xie, Young‐Mi Min, & June‐Yi Lee. (2012). Limitations of Seasonal Predictability for Summer Climate over East Asia and the Northwestern Pacific. Journal of Climate. 25(21). 7574–7589. 168 indexed citations

10.

Sohn, Soo‐Jin, Young‐Mi Min, June‐Yi Lee, et al.. (2011). Assessment of the long‐lead probabilistic prediction for the Asian summer monsoon precipitation (1983–2011) based on the APCC multimodel system and a statistical model. Journal of Geophysical Research Atmospheres. 117(D4). 28 indexed citations

11.

Min, Young‐Mi, Vladimir N. Kryjov, Saji N. Hameed, et al.. (2011). Evaluation of the weather generator CLIGEN with daily precipitation characteristics in Korea. Asia-Pacific Journal of Atmospheric Sciences. 47(3). 255–263. 18 indexed citations

12.

Min, Young‐Mi, Vladimir N. Kryjov, & Jai‐Ho Oh. (2011). Probabilistic interpretation of regression-based downscaled seasonal ensemble predictions with the estimation of uncertainty. Journal of Geophysical Research Atmospheres. 116(D8). 18 indexed citations

13.

Min, Young‐Mi, et al.. (2011). Assessment of probability multimodel seasonal forecast based on the APCC model data. Russian Meteorology and Hydrology. 36(3). 145–154. 6 indexed citations

14.

Jeong, Hyein, Bong-Geun Song, Young‐Mi Min, Karumuri Ashok, & Woojin Lee. (2008). Development of Climate Prediction System using CCSM3. 한국기상학회 학술대회 논문집. 148–149. 1 indexed citations

15.

Min, Young‐Mi, Vladimir N. Kryjov, & Chung-Kyu Park. (2008). A Probabilistic Multimodel Ensemble Approach to Seasonal Prediction. Weather and Forecasting. 24(3). 812–828. 40 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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