Shuangyan Yang

473 total citations
31 papers, 381 citations indexed

About

Shuangyan Yang is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Shuangyan Yang has authored 31 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atmospheric Science, 30 papers in Global and Planetary Change and 13 papers in Oceanography. Recurrent topics in Shuangyan Yang's work include Climate variability and models (29 papers), Meteorological Phenomena and Simulations (23 papers) and Oceanographic and Atmospheric Processes (13 papers). Shuangyan Yang is often cited by papers focused on Climate variability and models (29 papers), Meteorological Phenomena and Simulations (23 papers) and Oceanographic and Atmospheric Processes (13 papers). Shuangyan Yang collaborates with scholars based in China, United States and Bangladesh. Shuangyan Yang's co-authors include Tim Li, Jinggao Hu, Haiming Xu, Zhiwei Zhu, Renhe Zhang, Bingyi Wu, Christian D. Kummerow, S. Lang, Joanne Simpson and Yashu Liu and has published in prestigious journals such as Journal of Climate, Atmospheric chemistry and physics and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

Shuangyan Yang

29 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuangyan Yang China 13 359 357 115 15 10 31 381
Arnaud Jam France 6 294 0.8× 289 0.8× 53 0.5× 31 2.1× 7 0.7× 6 332
Zuqiang Zhang China 6 388 1.1× 372 1.0× 184 1.6× 9 0.6× 10 1.0× 12 415
M. Das Gupta India 11 291 0.8× 323 0.9× 85 0.7× 32 2.1× 11 1.1× 32 379
Yijia Hu China 11 371 1.0× 392 1.1× 174 1.5× 13 0.9× 11 1.1× 45 428
J. G. Dwyer United States 6 267 0.7× 235 0.7× 57 0.5× 8 0.5× 10 1.0× 8 293
Clark Evans United States 11 354 1.0× 390 1.1× 74 0.6× 26 1.7× 6 0.6× 23 416
Wen Xing China 9 347 1.0× 307 0.9× 125 1.1× 35 2.3× 12 1.2× 18 373
Alexander Sterin Switzerland 9 354 1.0× 372 1.0× 62 0.5× 11 0.7× 11 1.1× 22 416
Karsten Fennig Germany 11 346 1.0× 345 1.0× 207 1.8× 21 1.4× 8 0.8× 16 419
Nazario Tartaglione Italy 9 284 0.8× 320 0.9× 52 0.5× 29 1.9× 24 2.4× 30 361

Countries citing papers authored by Shuangyan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shuangyan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuangyan Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuangyan Yang. A scholar is included among the top collaborators of Shuangyan Yang 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 Shuangyan Yang. Shuangyan Yang 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
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Liu, Yashu & Shuangyan Yang. (2023). Characteristic Analysis of the 10–30-Day Intraseasonal Oscillation over Mid-High-Latitude Eurasia in Boreal Summer. Atmosphere. 14(9). 1372–1372. 1 indexed citations
4.
Yang, Shuangyan, Yashu Liu, Zhiwei Zhu, & Yanjun Qi. (2023). Influence of the mid-high-latitude Eurasian ISO on PM2.5 concentration anomaly in North China during boreal winter. Climate Dynamics. 62(3). 2455–2474. 5 indexed citations
5.
Yang, Shuangyan, Lucyna Kępka, Gustavo Arruda Viani, et al.. (2023). Five-year follow-up after stereotactic body radiotherapy for medically inoperable early-stage non-small cell lung cancer: a multicenter study. Translational Lung Cancer Research. 12(6). 1293–1302. 2 indexed citations
6.
Yang, Shuangyan, et al.. (2023). Two Types of Mid-High-Latitude Intraseasonal Oscillations in the Southern Hemisphere during Austral Summer. Journal of Climate. 36(21). 7393–7413. 2 indexed citations
7.
Cao, Le, et al.. (2022). Influence of total ozone column (TOC) on the occurrence of tropospheric ozone depletion events (ODEs) in the Antarctic. Atmospheric chemistry and physics. 22(6). 3875–3890. 2 indexed citations
8.
Liu, Yashu & Shuangyan Yang. (2022). The impact of mid-high-latitude Eurasian ISO on soil moisture anomaly in North China during boreal summer. Climate Dynamics. 61(1-2). 185–201. 5 indexed citations
9.
Yang, Shuangyan, et al.. (2022). Assessments on simulation of Pacific blocking frequency during boreal winter in CMIP6 climate models. Dynamics of Atmospheres and Oceans. 100. 101333–101333. 2 indexed citations
10.
Yang, Shuangyan, et al.. (2021). How well do the S2S models predict intraseasonal wintertime surface air temperature over mid-high-latitude Eurasia?. Climate Dynamics. 57(1-2). 503–521. 15 indexed citations
11.
Yang, Shuangyan, et al.. (2021). Intraseasonal Variability of Summertime Surface Air Temperature over Mid-High-Latitude Eurasia and Its Prediction Skill in S2S Models. Journal of Meteorological Research. 35(5). 815–830. 5 indexed citations
12.
Ma, Libin & Shuangyan Yang. (2020). Impacts of the stochastic multicloud parameterization on the simulation of Western North Pacific summer rainfall. Atmospheric Research. 244. 105067–105067. 1 indexed citations
13.
Yang, Shuangyan & Tim Li. (2020). Cause for quasi-biweekly oscillation of zonal location of western Pacific subtropical high during boreal summer. Atmospheric Research. 245. 105079–105079. 20 indexed citations
14.
Yang, Shuangyan, et al.. (2019). Regulation of the intraseasonal oscillation over mid-to-high latitude Eurasia on winter surface air temperature over China. Dynamics of Atmospheres and Oceans. 86. 63–72. 18 indexed citations
15.
Yang, Shuangyan, Tim Li, Jinggao Hu, & Xi Shen. (2017). Decadal variation of the impact of La Niña on the winter Arctic stratosphere. Advances in Atmospheric Sciences. 34(5). 679–684. 13 indexed citations
16.
Yang, Shuangyan & Tim Li. (2016). Intraseasonal variability of air temperature over the mid-high latitude Eurasia in boreal winter. Climate Dynamics. 47(7-8). 2155–2175. 68 indexed citations
17.
Yang, Shuangyan & Tim Li. (2016). Causes of intraseasonal diabatic heating variability over and near the Tibetan Plateau in boreal summer. Climate Dynamics. 49(7-8). 2385–2406. 19 indexed citations
18.
Hu, Jinggao, Tim Li, Haiming Xu, & Shuangyan Yang. (2016). Lessened response of boreal winter stratospheric polar vortex to El Niño in recent decades. Climate Dynamics. 49(1-2). 263–278. 33 indexed citations
19.
Yang, Shuangyan, et al.. (2016). Annual variations of the tropopause height over the Tibetan Plateau compared with those over other regions. Dynamics of Atmospheres and Oceans. 76. 83–92. 2 indexed citations
20.
Hu, Jinggao, Rongcai Ren, Haiming Xu, & Shuangyan Yang. (2015). Seasonal timing of stratospheric final warming associated with the intensity of stratospheric sudden warming in preceding winter. Science China Earth Sciences. 58(4). 615–627. 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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