Chaoxia Yuan

851 total citations
57 papers, 558 citations indexed

About

Chaoxia Yuan is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Chaoxia Yuan has authored 57 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Global and Planetary Change, 42 papers in Atmospheric Science and 28 papers in Oceanography. Recurrent topics in Chaoxia Yuan's work include Climate variability and models (45 papers), Meteorological Phenomena and Simulations (23 papers) and Oceanographic and Atmospheric Processes (21 papers). Chaoxia Yuan is often cited by papers focused on Climate variability and models (45 papers), Meteorological Phenomena and Simulations (23 papers) and Oceanographic and Atmospheric Processes (21 papers). Chaoxia Yuan collaborates with scholars based in China, Japan and Bangladesh. Chaoxia Yuan's co-authors include Toshio Yamagata, Tomoki Tozuka, Jing‐Jia Luo, Takafumi Miyasaka, Zhaoyong Guan, Junqi Liu, Md Wahiduzzaman, Fang Fang, Willem A. Landman and Kevin K. W. Cheung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Climate.

In The Last Decade

Chaoxia Yuan

51 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoxia Yuan China 13 473 385 203 47 22 57 558
Konstantin Belyaev Russia 12 473 1.0× 421 1.1× 264 1.3× 21 0.4× 30 1.4× 64 627
D. B. Stephenson United Kingdom 8 419 0.9× 321 0.8× 121 0.6× 30 0.6× 31 1.4× 10 496
Xiaoqin Yan United States 9 424 0.9× 346 0.9× 132 0.7× 21 0.4× 31 1.4× 21 483
Oliver Angélil Australia 16 730 1.5× 530 1.4× 51 0.3× 80 1.7× 81 3.7× 19 832
Vinay Kumar United States 13 656 1.4× 594 1.5× 145 0.7× 35 0.7× 21 1.0× 57 729
Masaru Inatsu Japan 15 702 1.5× 689 1.8× 282 1.4× 30 0.6× 15 0.7× 71 844
Yuhei Takaya Japan 14 584 1.2× 549 1.4× 256 1.3× 30 0.6× 13 0.6× 31 644
Luis Ricardo Lage Rodrigues Spain 6 562 1.2× 464 1.2× 151 0.7× 40 0.9× 50 2.3× 7 625
K. P. Sooraj India 16 773 1.6× 658 1.7× 348 1.7× 54 1.1× 21 1.0× 29 830
Md Wahiduzzaman China 12 351 0.7× 307 0.8× 139 0.7× 32 0.7× 13 0.6× 29 409

Countries citing papers authored by Chaoxia Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Chaoxia Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoxia Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoxia Yuan. A scholar is included among the top collaborators of Chaoxia Yuan 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 Chaoxia Yuan. Chaoxia Yuan 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.
2.
Wei, Y. D., Chaoxia Yuan, Han‐Ching Chen, & Jing‐Jia Luo. (2025). On the Slow Decay of El Niño in CMIP6 Models. Geophysical Research Letters. 52(4).
3.
Yuan, Chaoxia, et al.. (2025). A Swin-Transformer-based deep-learning model for rolled-out predictions of regional wind waves. Physics of Fluids. 37(3). 2 indexed citations
4.
Wang, Fang, et al.. (2025). Seasonal Contrasts in the Trends of Landfalling Tropical Cyclone Track Density in China (1949–2023). Geophysical Research Letters. 52(10). 1 indexed citations
5.
Cai, Yanpeng, et al.. (2024). Incorporation crisis lifecycle theory into full-stage flash drought spatio-temporal pattern identification and risk analysis. Journal of Hydrology. 642. 131828–131828. 10 indexed citations
6.
Sun, Qiming, et al.. (2024). Current progress in subseasonal-to-decadal prediction based on machine learning. SHILAP Revista de lepidopterología. 24. 100201–100201. 1 indexed citations
7.
8.
Wang, Shixin, Tiexi Chen, Jing‐Jia Luo, et al.. (2024). Warming climate is helping human beings run faster, jump higher and throw farther through less dense air. npj Climate and Atmospheric Science. 7(1). 2 indexed citations
9.
Yuan, Chaoxia, et al.. (2024). Indian Ocean Dipole Changes During the Last Interglacial Modulated by the Mean Oceanic Climatology. Geophysical Research Letters. 51(1). 1 indexed citations
10.
Yuan, Chaoxia, et al.. (2024). Warming Tropical Indian Ocean Wets the Tibetan Plateau. Geophysical Research Letters. 51(13). 2 indexed citations
11.
12.
Wang, Bin, et al.. (2023). Synoptic characteristics of heatwave events in Australia during austral summer of 1950/1951–2019/2020. International Journal of Climatology. 43(12). 5662–5680. 3 indexed citations
13.
Xue, Jiaqing, et al.. (2022). Ningaloo Niño/Niña in CMIP6 Models: Characteristics, Mechanisms, and Climate Impacts. Geophysical Research Letters. 49(19). 4 indexed citations
14.
Luo, Jing‐Jia, et al.. (2022). Tropical Indian Ocean Warming Contributes to Arctic Warming. Geophysical Research Letters. 49(23). 7 indexed citations
15.
Wang, Xiaochun, Jing‐Jia Luo, Dongxiao Wang, et al.. (2022). Forecasts of MJO during DYNAMO in a coupled tropical channel model, Part I: Impact of parameterization schemes. International Journal of Climatology. 42(13). 6771–6792. 2 indexed citations
16.
Yuan, Chaoxia, et al.. (2021). Prediction of summer extreme hot days in China using the SINTEX‐F2. International Journal of Climatology. 41(10). 4966–4976. 7 indexed citations
17.
Xue, Jiaqing, Takeshi Doi, Jing‐Jia Luo, Chaoxia Yuan, & Toshio Yamagata. (2021). Predictability of the Chile Niño/Niña. Geophysical Research Letters. 48(21). 2 indexed citations
18.
Xue, Jiaqing, Jing‐Jia Luo, Chaoxia Yuan, & Toshio Yamagata. (2020). Discovery of Chile Niño/Niña. Geophysical Research Letters. 47(5). 16 indexed citations
19.
Yuan, Chaoxia & Deane Wang. (2019). Inter‐decadal variations in El Niño–Southern Oscillation impacts on the autumn precipitation in the eastern China. International Journal of Climatology. 39(14). 5316–5326. 6 indexed citations
20.
Yuan, Chaoxia, et al.. (2018). Impacts of April snow cover extent over Tibetan Plateau and the central Eurasia on Indian Ocean Dipole. International Journal of Climatology. 39(3). 1756–1767. 12 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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