Ronggao Liu

8.0k total citations · 3 hit papers
92 papers, 4.2k citations indexed

About

Ronggao Liu is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Ronggao Liu has authored 92 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Global and Planetary Change, 50 papers in Ecology and 37 papers in Atmospheric Science. Recurrent topics in Ronggao Liu's work include Remote Sensing in Agriculture (49 papers), Plant Water Relations and Carbon Dynamics (24 papers) and Land Use and Ecosystem Services (21 papers). Ronggao Liu is often cited by papers focused on Remote Sensing in Agriculture (49 papers), Plant Water Relations and Carbon Dynamics (24 papers) and Land Use and Ecosystem Services (21 papers). Ronggao Liu collaborates with scholars based in China, United States and Canada. Ronggao Liu's co-authors include Yang Liu, Jing M. Chen, Jiyuan Liu, Shunlin Liang, Weimin Ju, Quansheng Ge, Philippe Ciais, Rong Shang, Ranga B. Myneni and Quanqin Shao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ronggao Liu

88 papers receiving 4.1k citations

Hit Papers

Detection and attribution of vegetation greening trend in... 2014 2026 2018 2022 2014 2019 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronggao Liu China 31 3.0k 2.1k 1.1k 1.0k 516 92 4.2k
Laurent Kergoat France 36 3.3k 1.1× 2.0k 0.9× 1.3k 1.2× 1.1k 1.1× 462 0.9× 100 4.8k
Yaozhong Pan China 34 3.3k 1.1× 2.3k 1.1× 1.0k 0.9× 964 1.0× 559 1.1× 128 4.8k
Kazuhito Ichii Japan 32 3.5k 1.2× 1.9k 0.9× 1.1k 1.0× 931 0.9× 265 0.5× 93 4.5k
Lei Ji United States 31 2.7k 0.9× 2.1k 1.0× 933 0.8× 957 0.9× 333 0.6× 79 4.3k
J. T. Morisette United States 13 3.2k 1.1× 2.4k 1.1× 1.1k 0.9× 1.2k 1.2× 450 0.9× 24 4.5k
Baodong Xu China 25 2.4k 0.8× 2.1k 1.0× 830 0.7× 1.1k 1.1× 595 1.2× 88 3.8k
S. W. Running United States 29 3.8k 1.2× 2.2k 1.1× 1.1k 1.0× 1.2k 1.2× 475 0.9× 51 4.9k
Rogier de Jong Switzerland 26 2.4k 0.8× 2.0k 0.9× 836 0.7× 747 0.7× 218 0.4× 43 3.4k
Fabio Maselli Italy 34 2.2k 0.7× 2.2k 1.0× 690 0.6× 1.5k 1.5× 433 0.8× 161 3.9k

Countries citing papers authored by Ronggao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ronggao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronggao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ronggao Liu. A scholar is included among the top collaborators of Ronggao Liu 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 Ronggao Liu. Ronggao Liu 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, Yuchen, et al.. (2025). Diminishing influence of climate change as the dominant factor on vegetation dynamics of the Qilian Mountains. Environmental Development. 56. 101275–101275. 1 indexed citations
2.
Liu, Ronggao, et al.. (2024). Automatic Lunar Crater Detection Based on DEM Data Using a Max Curvature Detection Method. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 3 indexed citations
3.
Liu, Ronggao, Zhichao Li, Chao Zhang, et al.. (2024). Decoding the inconsistency of six cropland maps in China. The Crop Journal. 12(1). 281–294. 14 indexed citations
4.
Liu, Yang, et al.. (2024). A global annual fractional tree cover dataset during 2000–2021 generated from realigned MODIS seasonal data. Scientific Data. 11(1). 832–832. 8 indexed citations
5.
Liu, Ronggao, Yang Liu, Jiaying He, et al.. (2024). Forest Areas in China Are Recovering Since the 21st Century. Geophysical Research Letters. 51(22). 8 indexed citations
6.
Liu, Yang, et al.. (2023). Estimation of High-Resolution Fractional Tree Cover Using Landsat Time-Series Observations. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11. 1 indexed citations
7.
Xu, Mingzhu, Ronggao Liu, Jing M. Chen, et al.. (2022). A 21-Year Time Series of Global Leaf Chlorophyll Content Maps From MODIS Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 29 indexed citations
8.
Wu, Chaoyang, et al.. (2022). Pine caterpillar occurrence modeling using satellite spring phenology and meteorological variables. Environmental Research Letters. 17(10). 104046–104046. 4 indexed citations
9.
Liu, Yang, Ronggao Liu, & Rong Shang. (2022). GLOBMAP SWF: a global annual surface water cover frequency dataset during 2000–2020. Earth system science data. 14(10). 4505–4523. 9 indexed citations
10.
Qi, Lin, Ronggao Liu, & Yang Liu. (2022). Retrieval of Aerosol Single-Scattering Albedo from MODIS Data Using an Artificial Neural Network. Remote Sensing. 14(24). 6341–6341. 3 indexed citations
11.
Liu, Yang & Ronggao Liu. (2020). A Simple Approach for Mapping Forest Cover from Time Series of Satellite Data. Remote Sensing. 12(18). 2918–2918. 9 indexed citations
12.
Wu, Chaoyang, Xiaoyue Wang, Huanjiong Wang, et al.. (2019). Author Correction: Contrasting responses of autumn-leaf senescence to daytime and night-time warming. Nature Climate Change. 9(2). 177–177. 2 indexed citations
14.
Wu, Chaoyang, Xiaoyue Wang, Huanjiong Wang, et al.. (2018). Contrasting responses of autumn-leaf senescence to daytime and night-time warming. Nature Climate Change. 8(12). 1092–1096. 196 indexed citations
15.
Liu, Yang, Ronggao Liu, Jan Písek, & Jing M. Chen. (2017). Separating overstory and understory leaf area indices for global needleleaf and deciduous broadleaf forests by fusion of MODIS and MISR data. Biogeosciences. 14(5). 1093–1110. 43 indexed citations
16.
Liu, Ronggao, et al.. (2017). Change of Geographical Environment in Southern Margin of Tibetan Plateau since 1980s. Bulletin of Chinese Academy of Sciences (Chinese Version). 32(9). 1003–1013. 1 indexed citations
17.
He, Liming, Jing M. Chen, Holly Croft, et al.. (2017). Nitrogen Availability Dampens the Positive Impacts of CO2 Fertilization on Terrestrial Ecosystem Carbon and Water Cycles. Geophysical Research Letters. 44(22). 96 indexed citations
18.
Liu, Ronggao. (2010). Dynamic Changes of Grassland Yield in Three River Headwater Region from 1988 to 2005. Acta Agrestia Sinica. 13 indexed citations
19.
Liu, Jiyuan, et al.. (2009). SPATIAL-TEMPORAL PATTERNS OF NET PRIMARY PRODUCTIVITY FOR 1988-2004 BASED ON GLOPEM-CEVSA MODEL IN THE "THREE-RIVER HEADWATERS" REGION OF QINGHAI PROVINCE, CHINA. 33(2). 254–269. 25 indexed citations
20.
Qin, Jun, Ronggao Liu, Shunlin Liang, Hao Zhang, & Bo Hu. (2007). A new method based on remote sensing observations and data assimilation for estimation of evapotranspiration over field crops. New Zealand Journal of Agricultural Research. 50(5). 997–1004. 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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