Suosuo Li

426 total citations
26 papers, 257 citations indexed

About

Suosuo Li is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Suosuo Li has authored 26 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Suosuo Li's work include Climate change and permafrost (10 papers), Plant Water Relations and Carbon Dynamics (10 papers) and Climate variability and models (9 papers). Suosuo Li is often cited by papers focused on Climate change and permafrost (10 papers), Plant Water Relations and Carbon Dynamics (10 papers) and Climate variability and models (9 papers). Suosuo Li collaborates with scholars based in China and United States. Suosuo Li's co-authors include Yanhong Gao, Yinhuan Ao, Shihua Lü, Shihua Lyu, Xianhong Meng, Jiming Jin, Norman L. Miller, Zhaoguo Li, Shaobo Zhang and Shaoying Wang and has published in prestigious journals such as Geoderma, Agricultural and Forest Meteorology and Remote Sensing.

In The Last Decade

Suosuo Li

25 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suosuo Li China 10 144 144 61 55 37 26 257
Lunyu Shang China 12 196 1.4× 194 1.3× 70 1.1× 65 1.2× 25 0.7× 40 347
Natan Holtzman United States 7 130 0.9× 143 1.0× 130 2.1× 50 0.9× 14 0.4× 13 253
Guo Zhang China 9 137 1.0× 197 1.4× 53 0.9× 27 0.5× 21 0.6× 26 275
S. Arens United States 7 213 1.5× 109 0.8× 26 0.4× 149 2.7× 40 1.1× 11 339
Ossénatou Mamadou Benin 9 48 0.3× 181 1.3× 39 0.6× 45 0.8× 41 1.1× 21 230
Binyan Yan China 10 112 0.8× 284 2.0× 82 1.3× 109 2.0× 27 0.7× 17 358
Boksoon Myoung South Korea 11 204 1.4× 280 1.9× 36 0.6× 42 0.8× 11 0.3× 20 336
Xianhui Tang China 6 90 0.6× 172 1.2× 30 0.5× 58 1.1× 73 2.0× 11 279
Angelika Kübert Germany 10 84 0.6× 178 1.2× 34 0.6× 50 0.9× 48 1.3× 17 260

Countries citing papers authored by Suosuo Li

Since Specialization
Citations

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

Fields of papers citing papers by Suosuo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suosuo Li

This figure shows the co-authorship network connecting the top 25 collaborators of Suosuo Li. A scholar is included among the top collaborators of Suosuo Li 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 Suosuo Li. Suosuo Li 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.
Meng, Xianhong, Yu Zhang, Lunyu Shang, et al.. (2025). A 10-Year Dataset of Land Surface Observations for the Semi-Humid Alpine Grassland in the Source Region of the Yellow River. Advances in Atmospheric Sciences. 42(6). 1261–1272.
2.
Wang, Shaoying, Yu Zhang, Xianhong Meng, et al.. (2024). Water availability control the seasonal and inter-annual variability of CO2 fluxes in an alpine meadow on the eastern Tibetan Plateau. Agricultural and Forest Meteorology. 356. 110187–110187. 2 indexed citations
3.
Li, Xia, et al.. (2024). Effects of different soil thermal conductivity schemes on the simulation of permafrost on the Tibetan Plateau. Geoderma. 442. 116789–116789. 6 indexed citations
4.
Wang, Shaoying, Yu Zhang, Xianhong Meng, et al.. (2023). Biophysical factors control the interannual variability of evapotranspiration in an alpine meadow on the eastern Tibetan Plateau. Agricultural and Forest Meteorology. 341. 109673–109673. 4 indexed citations
5.
Li, Xia, et al.. (2023). Impacts of Land Use/Land Cover Distributions on Permafrost Simulations on Tibetan Plateau. Remote Sensing. 15(23). 5586–5586. 1 indexed citations
6.
Meng, Xianhong, Shihua Lyu, Zhaoguo Li, et al.. (2023). Dataset of Comparative Observations for Land Surface Processes over the Semi-Arid Alpine Grassland against Alpine Lakes in the Source Region of the Yellow River. Advances in Atmospheric Sciences. 40(6). 1142–1157. 11 indexed citations
7.
Xia, Li, et al.. (2022). Different responses of soil respiration to climate change in permafrost and non‐permafrost regions of the Tibetan plateau from 1979 to 2018. International Journal of Climatology. 42(14). 7198–7212. 8 indexed citations
8.
Li, Kai, Jingyong Zhang, Lingyun Wu, Kai Yang, & Suosuo Li. (2022). The Role of Soil Temperature Feedbacks for Summer Air Temperature Variability Under Climate Change Over East Asia. Earth s Future. 10(4). 13 indexed citations
9.
Gao, Yanhong, et al.. (2021). Impacts of Land Use/Land Cover Distributions and Vegetation Amount on Land Surface Temperature Simulation in East China. Earth and Space Science. 8(5). 10 indexed citations
10.
Li, Suosuo, et al.. (2021). Change in soil organic carbon and its climate drivers over the Tibetan Plateau in CMIP5 earth system models. Theoretical and Applied Climatology. 145(1-2). 187–196. 6 indexed citations
11.
Yan, Pengcheng, et al.. (2021). Typical Modes of the Wind Speed Diurnal Variation in Beijing Based on the Clustering Method. Frontiers in Physics. 9. 4 indexed citations
12.
Li, Suosuo, et al.. (2019). Response of surface air temperature to the change of leaf area index in the source region of the Yellow River by the WRF model. Theoretical and Applied Climatology. 138(3-4). 1755–1765. 9 indexed citations
13.
Xue, Yongkang, Ismaïla Diallo, J. David Neelin, et al.. (2016). Spring land temperature anomalies in northwestern US and the summer drought over Southern Plains and adjacent areas. Environmental Research Letters. 11(4). 44018–44018. 25 indexed citations
14.
Li, Suosuo, et al.. (2015). Variations and trends of terrestrial NPP and its relation to climate change in the 10 CMIP5 models. Journal of Earth System Science. 124(2). 395–403. 15 indexed citations
15.
Li, Suosuo, Shihua Lü, Yanhong Gao, & Yinhuan Ao. (2015). The change of climate and terrestrial carbon cycle over Tibetan Plateau in CMIP5 models. International Journal of Climatology. 35(14). 4359–4369. 18 indexed citations
16.
Bao, Yan, Yanhong Gao, Shihua Lü, et al.. (2014). Evaluation of CMIP5 earth system models in reproducing leaf area index and vegetation cover over the Tibetan Plateau. Journal of Meteorological Research. 28(6). 1041–1060. 22 indexed citations
17.
Li, Suosuo, et al.. (2012). Analysis of the Statistical Characteristics of the Turbulent Data at Maqu Area in the Upper Yellow River. Diqiu kexue jinzhan. 27(8). 901–907. 1 indexed citations
18.
Li, Suosuo. (2008). Comparative analysis of the surface energy budget of the different ground surface of desert and oasis in summer. Ganhanqu dili. 1 indexed citations
19.
Li, Suosuo. (2007). Numerical Simulation on Effect of Environmental Degeneration in Qilian Mountains. Zhongguo shamo. 1 indexed citations
20.
Li, Suosuo. (2005). Numerical Simulation and Structure Analyses of the Local Circulation in Jinta Oasis Summer. Gaoyuan qixiang. 1 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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