Guokun Dai

483 total citations
37 papers, 337 citations indexed

About

Guokun Dai is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Guokun Dai has authored 37 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Atmospheric Science, 34 papers in Global and Planetary Change and 12 papers in Oceanography. Recurrent topics in Guokun Dai's work include Climate variability and models (33 papers), Meteorological Phenomena and Simulations (27 papers) and Arctic and Antarctic ice dynamics (15 papers). Guokun Dai is often cited by papers focused on Climate variability and models (33 papers), Meteorological Phenomena and Simulations (27 papers) and Arctic and Antarctic ice dynamics (15 papers). Guokun Dai collaborates with scholars based in China, United States and Sweden. Guokun Dai's co-authors include Mu Mu, Chunxiang Li, Zhe Han, Mu Mu, Zhina Jiang, Ruonan Zhang, Renhe Zhang, Dehai Luo, Yao Yao and Shijin Yuan and has published in prestigious journals such as Journal of the Atmospheric Sciences, Quarterly Journal of the Royal Meteorological Society and Climate Dynamics.

In The Last Decade

Guokun Dai

34 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guokun Dai China 10 293 283 96 25 7 37 337
Wen Xing China 9 307 1.0× 347 1.2× 125 1.3× 35 1.4× 7 1.0× 18 373
Muhammad Rais Abdillah Indonesia 10 195 0.7× 202 0.7× 73 0.8× 14 0.6× 7 1.0× 33 272
Jeremy Cheuk‐Hin Leung China 10 190 0.6× 176 0.6× 37 0.4× 39 1.6× 5 0.7× 42 233
Shuangyan Yang China 13 357 1.2× 359 1.3× 115 1.2× 15 0.6× 3 0.4× 31 381
Robi Muharsyah Indonesia 9 163 0.6× 146 0.5× 38 0.4× 36 1.4× 8 1.1× 35 246
E. J. Bayler United States 7 132 0.5× 132 0.5× 227 2.4× 63 2.5× 12 1.7× 19 288
Jonathan K. P. Shonk United Kingdom 9 292 1.0× 315 1.1× 47 0.5× 18 0.7× 2 0.3× 16 328
Zhina Jiang China 13 474 1.6× 463 1.6× 131 1.4× 26 1.0× 1 0.1× 38 518
Xiuping Yao China 12 283 1.0× 266 0.9× 31 0.3× 20 0.8× 2 0.3× 51 326
Zuqiang Zhang China 6 372 1.3× 388 1.4× 184 1.9× 9 0.4× 4 0.6× 12 415

Countries citing papers authored by Guokun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Guokun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guokun Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Guokun Dai. A scholar is included among the top collaborators of Guokun Dai 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 Guokun Dai. Guokun Dai 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.
Mu, Mu, Bo Qin, Tao Lian, et al.. (2025). Toward skillful forecasting of super El Niño events using a diffusion-based westerly wind burst parameterization. npj Climate and Atmospheric Science. 8(1).
2.
Qin, Bo, Mu Mu, Yuntao Wei, et al.. (2024). The first kind of predictability problem of El Niño predictions in a multivariate coupled data‐driven model. Quarterly Journal of the Royal Meteorological Society. 150(765). 5452–5471. 9 indexed citations
3.
4.
Wang, Huan, Zhiyan Zuo, Renhe Zhang, et al.. (2024). Thermodynamic effect dictates influence of the Atlantic Multidecadal Oscillation on Eurasia winter temperature. npj Climate and Atmospheric Science. 7(1). 7 indexed citations
5.
Jiang, Zhina, et al.. (2024). Atmospheric warming during rapid sea ice loss over the Barents–Kara seas in winter. Quarterly Journal of the Royal Meteorological Society. 150(765). 5535–5547. 1 indexed citations
6.
Zhang, Qiyu, Guodong Sun, Guokun Dai, & Mu Mu. (2024). Impact of Uncertainties in Land Surface Processes on Subseasonal Predictability of Heat Waves Onset Over the Yangtze River Valley. Journal of Geophysical Research Atmospheres. 129(1). 7 indexed citations
7.
Mu, Mu, Bo Qin, & Guokun Dai. (2024). Predictability Study of Weather and Climate Events Related to Artificial Intelligence Models. Advances in Atmospheric Sciences. 42(1). 1–8. 8 indexed citations
8.
9.
Dai, Guokun, et al.. (2023). The Influence of Arctic Sea Ice Concentration Perturbations on Subseasonal Predictions of North Atlantic Oscillation Events. Advances in Atmospheric Sciences. 40(12). 2242–2261. 3 indexed citations
10.
Mu, Mu, et al.. (2023). Targeted Observations on Arctic Sea Ice Concentration for Improving Extended‐Range Prediction of Ural Blocking. Journal of Geophysical Research Atmospheres. 128(22). 3 indexed citations
11.
Cai, Ziyi, Qinglong You, Hans W. Chen, et al.. (2023). Interdecadal variability of the warm Arctic-cold Eurasia pattern linked to the Barents oscillation. Atmospheric Research. 287. 106712–106712. 13 indexed citations
12.
Li, Chunxiang, Guokun Dai, Mu Mu, et al.. (2023). Influence of Arctic Sea-ice Concentration on Extended-range Forecasting of Cold Events in East Asia. Advances in Atmospheric Sciences. 40(12). 2224–2241. 4 indexed citations
13.
Mu, Mu, et al.. (2022). Influence of Arctic Sea Ice Concentration on Extended‐Range Prediction of Strong and Long‐Lasting Ural Blocking Events in Winter. Journal of Geophysical Research Atmospheres. 127(5). 27 indexed citations
14.
Chen, Jing, et al.. (2022). A Nonlinear Representation of Model Uncertainty in a Convective-Scale Ensemble Prediction System. Advances in Atmospheric Sciences. 39(9). 1432–1450. 8 indexed citations
15.
Dai, Guokun, Chunxiang Li, Zhe Han, Dehai Luo, & Yao Yao. (2021). The Nature and Predictability of the East Asian Extreme Cold Events of 2020/21. Advances in Atmospheric Sciences. 39(4). 566–575. 57 indexed citations
16.
Dai, Guokun, Mu Mu, Chunxiang Li, Zhe Han, & Lei Wang. (2020). Evaluation of the Forecast Performance for Extreme Cold Events in East Asia With Subseasonal‐to‐Seasonal Data Sets From ECMWF. Journal of Geophysical Research Atmospheres. 126(1). 12 indexed citations
17.
Dai, Guokun & Mu Mu. (2020). Arctic Influence on the Eastern Asian Cold Surge Forecast: A Case Study of January 2016. Journal of Geophysical Research Atmospheres. 125(23). 20 indexed citations
18.
19.
20.
Dai, Guokun, Mu Mu, & Zhina Jiang. (2015). Relationships between Optimal Precursors Triggering NAO Onset and Optimally Growing Initial Errors during NAO Prediction. Journal of the Atmospheric Sciences. 73(1). 293–317. 14 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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2026