Lingcheng Li

1.3k total citations
35 papers, 772 citations indexed

About

Lingcheng Li is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Lingcheng Li has authored 35 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Global and Planetary Change, 14 papers in Water Science and Technology and 11 papers in Atmospheric Science. Recurrent topics in Lingcheng Li's work include Climate variability and models (18 papers), Plant Water Relations and Carbon Dynamics (15 papers) and Hydrology and Watershed Management Studies (14 papers). Lingcheng Li is often cited by papers focused on Climate variability and models (18 papers), Plant Water Relations and Carbon Dynamics (15 papers) and Hydrology and Watershed Management Studies (14 papers). Lingcheng Li collaborates with scholars based in United States, China and Saudi Arabia. Lingcheng Li's co-authors include Dunxian She, Hui Zheng, Peirong Lin, Jun Xia, Zong‐Liang Yang, L. Ruby Leung, Si Hong, Liping Zhang, Zhihong Song and Chen Hu and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Journal of Hydrology.

In The Last Decade

Lingcheng Li

29 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingcheng Li United States 14 614 295 227 97 68 35 772
Iván Noguera Spain 19 841 1.4× 310 1.1× 218 1.0× 70 0.7× 106 1.6× 36 991
Olle Räty Finland 10 529 0.9× 180 0.6× 299 1.3× 70 0.7× 70 1.0× 18 651
Huiqian Yu China 13 598 1.0× 176 0.6× 167 0.7× 93 1.0× 168 2.5× 16 758
Kai Feng China 17 629 1.0× 304 1.0× 117 0.5× 61 0.6× 120 1.8× 53 733
Keith J. Harding United States 10 469 0.8× 122 0.4× 259 1.1× 51 0.5× 70 1.0× 11 551
Christopher Cunningham Brazil 10 359 0.6× 141 0.5× 133 0.6× 49 0.5× 30 0.4× 16 526
José Pesquero Brazil 4 361 0.6× 160 0.5× 178 0.8× 33 0.3× 38 0.6× 5 513
Marta Llopart Brazil 17 761 1.2× 162 0.5× 567 2.5× 45 0.5× 68 1.0× 35 905
Daniel Caetano Santos Brazil 6 328 0.5× 108 0.4× 172 0.8× 46 0.5× 44 0.6× 15 500
Eduard Plà Spain 10 440 0.7× 190 0.6× 102 0.4× 59 0.6× 42 0.6× 18 600

Countries citing papers authored by Lingcheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Lingcheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingcheng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Lingcheng Li. A scholar is included among the top collaborators of Lingcheng 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 Lingcheng Li. Lingcheng 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.
Li, Lingcheng, Yilin Fang, Zhangshuan Hou, et al.. (2025). A unified ensemble soil moisture dataset across the continental United States. Scientific Data. 12(1). 546–546. 2 indexed citations
2.
3.
4.
Shi, Mingjie, Nate G. McDowell, Huilin Huang, et al.. (2025). Ecosystem leaf area, gross primary production, and evapotranspiration responses to wildfire in the Columbia River basin. Biogeosciences. 22(9). 2225–2238. 1 indexed citations
5.
Qin, Shujing, Lei Cheng, Lingcheng Li, et al.. (2025). Estimating evapotranspiration from deciduous broadleaf forests by considering the effect of foliar litter. Agricultural and Forest Meteorology. 373. 110736–110736.
6.
Zheng, Zhonghua, Sarah Lindley, Lei Zhao, et al.. (2025). Leveraging automated machine learning (AutoML) for urban climate emulation. Research Explorer (The University of Manchester). 1(3). 100040–100040.
7.
Li, Lingcheng, Zong‐Liang Yang, Guiling Wang, et al.. (2024). Refining water and carbon fluxes modeling in terrestrial ecosystems via plant hydraulics integration. Agricultural and Forest Meteorology. 359. 110256–110256. 3 indexed citations
8.
Qiu, Han, Gautam Bisht, Lingcheng Li, Dalei Hao, & Donghui Xu. (2024). Development of inter-grid-cell lateral unsaturated and saturated flow model in the E3SM Land Model (v2.0). Geoscientific model development. 17(1). 143–167. 8 indexed citations
9.
Xu, Donghui, Gautam Bisht, Dongyu Feng, et al.. (2024). Impacts of Sea‐Level Rise on Coastal Groundwater Table Simulated by an Earth System Model With a Land‐Ocean Coupling Scheme. Earth s Future. 12(8). 2 indexed citations
10.
Shi, Mingjie, Michael Keller, Lingcheng Li, et al.. (2024). Functionally Assembled Terrestrial Ecosystem Simulator (FATES) for Hurricane Disturbance and Recovery. Journal of Advances in Modeling Earth Systems. 16(1). 1 indexed citations
11.
Li, Lingcheng, Gautam Bisht, Dalei Hao, & L. Ruby Leung. (2024). Global 1 km land surface parameters for kilometer-scale Earth system modeling. Earth system science data. 16(4). 2007–2032. 15 indexed citations
12.
Li, Lingcheng, Yilin Fang, Zhonghua Zheng, et al.. (2023). A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0). Geoscientific model development. 16(14). 4017–4040. 9 indexed citations
13.
Xu, Shiqin, Pierre Gentine, Lingcheng Li, et al.. (2023). Response of Ecosystem Productivity to High Vapor Pressure Deficit and Low Soil Moisture: Lessons Learned From the Global Eddy‐Covariance Observations. Earth s Future. 11(8). 32 indexed citations
14.
Zheng, Hui, Zong‐Liang Yang, Jiangfeng Wei, et al.. (2023). An ensemble of 48 physically perturbed model estimates of the 1∕8° terrestrial water budget over the conterminous United States, 1980–2015. Earth system science data. 15(7). 2755–2780. 3 indexed citations
15.
Li, Lingcheng, Gautam Bisht, & L. Ruby Leung. (2022). Spatial heterogeneity effects on land surface modeling of water and energy partitioning. Geoscientific model development. 15(14). 5489–5510. 18 indexed citations
16.
She, Dunxian, et al.. (2022). Revegetation affects the response of land surface phenology to climate in Loess Plateau, China. The Science of The Total Environment. 860. 160383–160383. 10 indexed citations
17.
Zheng, Hui, Zhongfeng Xu, Wen‐Ying Wu, et al.. (2021). Ensemble Skill Gains Obtained From the Multi‐Physics Versus Multi‐Model Approaches for Continental‐Scale Hydrological Simulations. Water Resources Research. 57(7). 3 indexed citations
18.
Song, Zhihong, Jun Xia, Dunxian She, et al.. (2021). Assessment of meteorological drought change in the 21st century based on CMIP6 multi-model ensemble projections over mainland China. Journal of Hydrology. 601. 126643–126643. 72 indexed citations
19.
She, Dunxian, et al.. (2021). Attribution of trends in meteorological drought during 1960–2016 over the Loess Plateau, China. Journal of Geographical Sciences. 31(8). 1123–1139. 13 indexed citations
20.
Zhang, Liping, Lingcheng Li, Jun Xia, & Renchao Wang. (2015). Quantitative Assessment of the Impact of Climate Variability and Human Activities on Runoff Change in the Luanhe River Catchment. 30(4). 664–672. 8 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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