Xianmei Lang

3.0k total citations
91 papers, 2.4k citations indexed

About

Xianmei Lang is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Xianmei Lang has authored 91 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Atmospheric Science, 82 papers in Global and Planetary Change and 11 papers in Oceanography. Recurrent topics in Xianmei Lang's work include Climate variability and models (77 papers), Meteorological Phenomena and Simulations (40 papers) and Geology and Paleoclimatology Research (30 papers). Xianmei Lang is often cited by papers focused on Climate variability and models (77 papers), Meteorological Phenomena and Simulations (40 papers) and Geology and Paleoclimatology Research (30 papers). Xianmei Lang collaborates with scholars based in China, United States and France. Xianmei Lang's co-authors include Dabang Jiang, Zhiping Tian, Huijun Wang, Xiaoxin Wang, Yue Sui, Dan Hu, Ying Zhang, Wang Huijun, Ke Fan and Yali Zhu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Xianmei Lang

90 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianmei Lang China 28 1.8k 1.7k 214 212 196 91 2.4k
Anthony M. Fowler New Zealand 25 1.6k 0.9× 1.5k 0.9× 260 1.2× 211 1.0× 174 0.9× 56 2.3k
Patricio Aceituno Chile 14 1.5k 0.8× 1.4k 0.8× 276 1.3× 256 1.2× 264 1.3× 20 2.2k
Monica Ioniță Germany 30 1.5k 0.9× 2.0k 1.1× 279 1.3× 407 1.9× 522 2.7× 120 2.8k
Zhixin Hao China 25 1.4k 0.8× 1.4k 0.8× 243 1.1× 133 0.6× 79 0.4× 109 2.0k
Duncan A. Christie Chile 29 1.6k 0.9× 1.6k 0.9× 434 2.0× 280 1.3× 104 0.5× 60 2.7k
Yongping Shen China 22 2.0k 1.1× 1.2k 0.7× 348 1.6× 582 2.7× 103 0.5× 71 2.9k
Mariano Masiokas Argentina 30 2.3k 1.3× 1.1k 0.6× 300 1.4× 293 1.4× 78 0.4× 50 2.8k
Frank T. Keimig United States 20 2.1k 1.2× 1.5k 0.9× 360 1.7× 185 0.9× 145 0.7× 23 2.7k
Sloan Coats United States 26 1.4k 0.8× 2.2k 1.2× 231 1.1× 315 1.5× 287 1.5× 56 2.8k
H. Kutiel Israel 27 1.4k 0.8× 1.9k 1.1× 179 0.8× 158 0.7× 266 1.4× 70 2.3k

Countries citing papers authored by Xianmei Lang

Since Specialization
Citations

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

Fields of papers citing papers by Xianmei Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianmei Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Xianmei Lang. A scholar is included among the top collaborators of Xianmei Lang 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 Xianmei Lang. Xianmei Lang 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.
Tian, Zhiping, et al.. (2025). Summer amplification of interannual variability changes in surface air temperature during the last interglacial period. Global and Planetary Change. 249. 104787–104787.
2.
Liu, Zhaochen, Xianmei Lang, & Dabang Jiang. (2024). Stratospheric Aerosol Injection Geoengineering Would Mitigate Greenhouse Gas‐Induced Drying and Affect Global Drought Patterns. Journal of Geophysical Research Atmospheres. 129(3). 8 indexed citations
3.
Wang, Liquan, Zhaochen Liu, Xianmei Lang, & Dabang Jiang. (2023). Understanding Surface Air Temperature Cold Bias Over China in CMIP6 Models. Journal of Geophysical Research Atmospheres. 128(19). 7 indexed citations
4.
Tian, Zhiping, et al.. (2023). Projected changes in the interannual variability of surface air temperature using CMIP6 simulations. Climate Dynamics. 62(1). 431–446. 9 indexed citations
5.
Liu, Zhaochen, Xianmei Lang, Jiapeng Miao, & Dabang Jiang. (2023). Impact of Stratospheric Aerosol Injection on the East Asian Winter Monsoon. Geophysical Research Letters. 50(3). 8 indexed citations
6.
Zheng, Fei, Shuai Hu, Jiehua Ma, et al.. (2023). Will the Globe Encounter the Warmest Winter after the Hottest Summer in 2023?. Advances in Atmospheric Sciences. 41(4). 581–586. 11 indexed citations
7.
Si, Dong, Dabang Jiang, Xinyong Shen, et al.. (2023). Tibetan Plateau Booster Effect on the Influence of Atlantic Multidecadal Variability on the East Asian Summer Rainfall. Journal of Climate. 36(10). 3437–3452. 5 indexed citations
8.
Lang, Xianmei, et al.. (2023). Moisture sources of summer heavy precipitation in two spatial patterns over Northeast China during 1979–2021. Atmospheric Science Letters. 24(11). 4 indexed citations
9.
Liu, Zhaochen, Xianmei Lang, & Dabang Jiang. (2022). Impact of stratospheric aerosol intervention geoengineering on surface air temperature in China: a surface energy budget perspective. Atmospheric chemistry and physics. 22(11). 7667–7680. 5 indexed citations
10.
Si, Dong, Aixue Hu, Dabang Jiang, & Xianmei Lang. (2022). Atmospheric teleconnection associated with the Atlantic multidecadal variability in summer: assessment of the CESM1 model. Climate Dynamics. 60(3-4). 1043–1060. 6 indexed citations
12.
Jiang, Dabang, et al.. (2020). Moisture sources of summer precipitation over eastern China during 1979–2009: A Lagrangian transient simulation. International Journal of Climatology. 41(2). 1162–1178. 14 indexed citations
13.
Bueh, Cholaw, Fei Zheng, Chen Hong, et al.. (2019). Seasonal Outlook of China for Summer 2019. Bulletin of Chinese Academy of Sciences (Chinese Version). 34(6). 693–699. 1 indexed citations
14.
Jiang, Dabang, Yeyi Liu, & Xianmei Lang. (2018). A multi-model analysis of glacier equilibrium line altitudes in western China during the last glacial maximum. Science China Earth Sciences. 62(8). 1241–1255. 16 indexed citations
15.
Jiang, Jiang, Yue Sui, & Xianmei Lang. (2015). Projected Climate Change against Natural Internal Variability over China. Atmospheric and Oceanic Science Letters. 8(4). 193–200. 1 indexed citations
16.
Jiang, Jiang, Yue Sui, & Xianmei Lang. (2015). Projected Climate Change against Natural Internal Variability over China. Atmospheric and Oceanic Science Letters. 8(4). 193–200. 1 indexed citations
17.
Jiang, Dabang, Zhiping Tian, Xianmei Lang, Masa Kageyama, & Gilles Ramstein. (2015). The concept of global monsoon applied to the last glacial maximum: A multi-model analysis. Quaternary Science Reviews. 126. 126–139. 33 indexed citations
18.
Wang, Huijun, Ke Fan, Shuanglin Li, et al.. (2014). A review of seasonal climate prediction research in China. Advances in Atmospheric Sciences. 32(2). 149–168. 59 indexed citations
19.
Jiang, Dabang, Zhiping Tian, & Xianmei Lang. (2013). Mid-Holocene net precipitation changes over China: model–data comparison. Quaternary Science Reviews. 82. 104–120. 45 indexed citations
20.
Lang, Xianmei & Fei Zheng. (2011). A statistical-dynamical scheme for the extraseasonal prediction of summer rainfall for 160 observation stations across China. Advances in Atmospheric Sciences. 28(6). 1291–1300. 3 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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