Panxi Dai

429 total citations
21 papers, 254 citations indexed

About

Panxi Dai is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Panxi Dai has authored 21 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Panxi Dai's work include Climate variability and models (17 papers), Meteorological Phenomena and Simulations (13 papers) and Tropical and Extratropical Cyclones Research (7 papers). Panxi Dai is often cited by papers focused on Climate variability and models (17 papers), Meteorological Phenomena and Simulations (13 papers) and Tropical and Extratropical Cyclones Research (7 papers). Panxi Dai collaborates with scholars based in China, United States and Norway. Panxi Dai's co-authors include Ji Nie, Adam H. Sobel, Benkui Tan, Renguang Wu, Yiguo Wang, Madlen Kimmritz, François Counillon, Yongqi Gao, Helene R. Langehaug and Shangfeng Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Climate.

In The Last Decade

Panxi Dai

18 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panxi Dai China 10 211 197 53 20 10 21 254
M. Yu. Bardin Russia 10 184 0.9× 165 0.8× 38 0.7× 11 0.6× 4 0.4× 22 219
Jiechun Deng China 13 340 1.6× 325 1.6× 84 1.6× 12 0.6× 7 0.7× 46 370
Colleen McHugh United States 9 174 0.8× 184 0.9× 71 1.3× 10 0.5× 8 0.8× 18 219
Lisa‐Ann Kautz Germany 5 225 1.1× 208 1.1× 26 0.5× 15 0.8× 4 0.4× 6 261
Sergio A. Sejas United States 11 303 1.4× 330 1.7× 22 0.4× 6 0.3× 19 1.9× 20 390
Thomas Chubb Australia 10 273 1.3× 281 1.4× 22 0.4× 18 0.9× 2 0.2× 15 312
E. Suhas India 9 387 1.8× 342 1.7× 99 1.9× 15 0.8× 3 0.3× 24 409
Tim Kruschke Germany 11 261 1.2× 227 1.2× 44 0.8× 44 2.2× 2 0.2× 29 314
Xunqiang Bi China 10 342 1.6× 345 1.8× 26 0.5× 14 0.7× 3 0.3× 16 377
Ann Shelly United Kingdom 4 291 1.4× 290 1.5× 113 2.1× 9 0.5× 3 0.3× 5 338

Countries citing papers authored by Panxi Dai

Since Specialization
Citations

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

Fields of papers citing papers by Panxi Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panxi Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Panxi Dai. A scholar is included among the top collaborators of Panxi 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 Panxi Dai. Panxi 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.
Nie, Ji, Panxi Dai, Jun Yang, et al.. (2025). Origin and evolution of the North Atlantic Oscillation. Nature Communications. 16(1). 2142–2142.
2.
Zhang, Wenjun, et al.. (2025). What Causes Extreme Precipitation in the Southern Philippines During El Niño Winters?. Journal of Climate. 38(9). 2047–2061. 1 indexed citations
3.
Dai, Panxi, et al.. (2025). Assessing and reducing uncertainties in future mean and extreme precipitation projections over China. Atmospheric Research. 326. 108301–108301.
4.
Wu, Renguang, et al.. (2024). Two distinct evolutions of extreme precipitation over central eastern China during June and July. Climate Dynamics. 63(1). 2 indexed citations
5.
Dai, Panxi, Min Chu, Dong Guo, et al.. (2024). Seasonal Prediction of Regional Arctic Sea Ice Using the High‐Resolution Climate Prediction System CMA‐CPSv3. Journal of Geophysical Research Atmospheres. 129(4).
6.
Li, Xiuming, Renguang Wu, Panxi Dai, Rongshuo Cai, & Hongjian Tan. (2024). Diverse marine heatwave intensity trends in the marginal seas of China. Theoretical and Applied Climatology. 155(6). 5237–5250. 2 indexed citations
7.
Dai, Panxi, Ji Nie, Yan Yu, & Renguang Wu. (2024). Constraints on regional projections of mean and extreme precipitation under warming. Proceedings of the National Academy of Sciences. 121(11). e2312400121–e2312400121. 17 indexed citations
8.
Zhang, Wenjun, Renguang Wu, Panxi Dai, & Sang‐Wook Yeh. (2024). Why Does Extreme Precipitation Occur in Borneo During Both El Niño and La Niña Winters?. Journal of Geophysical Research Atmospheres. 129(10). 2 indexed citations
9.
Qin, Mengjiao, et al.. (2023). Deep Learning‐Based Seasonal Forecast of Sea Ice Considering Atmospheric Conditions. Journal of Geophysical Research Atmospheres. 128(24). 6 indexed citations
10.
Wang, Zhenzhen, Renguang Wu, Hainan Gong, Xiaojing Jia, & Panxi Dai. (2022). What Determine the Performance of the ENSO‐East Asian Winter Monsoon Relationship in CMIP6 Models?. Journal of Geophysical Research Atmospheres. 127(6). 4 indexed citations
11.
Dai, Panxi & Ji Nie. (2022). Robust Expansion of Extreme Midlatitude Storms Under Global Warming. Geophysical Research Letters. 49(10). 21 indexed citations
12.
Wang, Jun, Yang Chen, Panxi Dai, et al.. (2022). Climate change attribution of the 2021 Henan extreme precipitation: Impacts of convective organization. Science China Earth Sciences. 65(10). 1837–1846. 17 indexed citations
13.
Wu, Renguang, Panxi Dai, & Shangfeng Chen. (2022). Persistence or Transition of the North Atlantic Oscillation Across Boreal Winter: Role of the North Atlantic Air‐Sea Coupling. Journal of Geophysical Research Atmospheres. 127(23). 11 indexed citations
14.
Dai, Panxi & Ji Nie. (2021). What Controls the Interannual Variability of Extreme Precipitation?. Geophysical Research Letters. 48(21). 16 indexed citations
15.
Dai, Panxi, et al.. (2021). Estimating the Impact of Global Warming on Aircraft Takeoff Performance in China. Atmosphere. 12(11). 1472–1472. 6 indexed citations
16.
Dai, Panxi, et al.. (2021). A Two-plume Convective Model for Precipitation Extremes. Advances in Atmospheric Sciences. 38(6). 957–965. 4 indexed citations
17.
Dai, Panxi, Yongqi Gao, François Counillon, et al.. (2020). Seasonal to decadal predictions of regional Arctic sea ice by assimilating sea surface temperature in the Norwegian Climate Prediction Model. Climate Dynamics. 54(9-10). 3863–3878. 24 indexed citations
18.
Nie, Ji, Panxi Dai, & Adam H. Sobel. (2020). Dry and moist dynamics shape regional patterns of extreme precipitation sensitivity. Proceedings of the National Academy of Sciences. 117(16). 8757–8763. 52 indexed citations
19.
Wang, Yiguo, François Counillon, Noel Keenlyside, et al.. (2019). Seasonal predictions initialised by assimilating sea surface temperature observations with the EnKF. Climate Dynamics. 53(9-10). 5777–5797. 26 indexed citations
20.
Dai, Panxi & Benkui Tan. (2017). The Nature of the Arctic Oscillation and Diversity of the Extreme Surface Weather Anomalies It Generates. Journal of Climate. 30(14). 5563–5584. 31 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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