Shengli Tao

4.5k total citations · 3 hit papers
59 papers, 2.9k citations indexed

About

Shengli Tao is a scholar working on Global and Planetary Change, Environmental Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Shengli Tao has authored 59 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Global and Planetary Change, 27 papers in Environmental Engineering and 22 papers in Nature and Landscape Conservation. Recurrent topics in Shengli Tao's work include Remote Sensing and LiDAR Applications (22 papers), Forest ecology and management (17 papers) and Plant Water Relations and Carbon Dynamics (15 papers). Shengli Tao is often cited by papers focused on Remote Sensing and LiDAR Applications (22 papers), Forest ecology and management (17 papers) and Plant Water Relations and Carbon Dynamics (15 papers). Shengli Tao collaborates with scholars based in China, United States and France. Shengli Tao's co-authors include Qinghua Guo, Yanjun Su, Baolin Xue, Jingyun Fang, Zhiheng Wang, Shuqing Zhao, Zhiyao Tang, Huifeng Hu, Jun Xu and Sébastien Brosse and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Shengli Tao

56 papers receiving 2.9k citations

Hit Papers

Rapid loss of lakes on the Mongolian Plateau 2015 2026 2018 2022 2015 2021 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shengli Tao China 27 1.3k 1.2k 1.1k 1.0k 508 59 2.9k
Matthew E. Baker United States 28 1.2k 1.0× 1.6k 1.4× 721 0.6× 897 0.9× 977 1.9× 78 3.4k
Marcos Longo United States 30 2.5k 1.9× 1.1k 0.9× 585 0.5× 987 1.0× 308 0.6× 75 3.3k
Jonathan A. Greenberg United States 26 1.3k 1.0× 1.6k 1.4× 627 0.6× 884 0.9× 161 0.3× 66 3.2k
Bangqian Chen China 28 1.6k 1.2× 1.9k 1.6× 1.0k 0.9× 322 0.3× 226 0.4× 76 3.1k
Mark Cutler United Kingdom 21 869 0.7× 1.4k 1.2× 995 0.9× 657 0.7× 273 0.5× 54 2.6k
Ted R. Feldpausch United Kingdom 29 2.2k 1.7× 1.1k 1.0× 700 0.6× 1.6k 1.6× 199 0.4× 77 3.9k
Mirela G. Tulbure United States 29 1.2k 1.0× 1.2k 1.1× 448 0.4× 333 0.3× 562 1.1× 58 2.2k
Eduardo Eiji Maeda Finland 30 1.7k 1.3× 874 0.7× 564 0.5× 323 0.3× 294 0.6× 110 2.6k
Miquel Ninyerola Spain 24 2.2k 1.7× 795 0.7× 886 0.8× 1.3k 1.3× 220 0.4× 53 3.8k
Shouzhang Peng China 22 2.1k 1.7× 1.1k 0.9× 473 0.4× 429 0.4× 610 1.2× 77 3.3k

Countries citing papers authored by Shengli Tao

Since Specialization
Citations

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

Fields of papers citing papers by Shengli Tao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengli Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Shengli Tao. A scholar is included among the top collaborators of Shengli Tao 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 Shengli Tao. Shengli Tao 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.
Ishtiaq, Muhammad, et al.. (2025). Two years monitoring and optimization of a large-scale constructed wetland in the Red Sea designed for 80,000 inhabitants. Journal of Cleaner Production. 501. 145307–145307.
2.
Bi, Jian, Shengli Tao, Hao Wang, et al.. (2025). An annual 30 m cultivated-pasture dataset of the Tibetan Plateau from 1988 to 2021. Earth system science data. 17(6). 2933–2952.
3.
Zhu, Jiangling, Chengjun Ji, Qinwei Ran, et al.. (2025). Possible refugia for Fagaceae species in China under climate change. Journal of Plant Ecology. 18(3). 3 indexed citations
4.
Zhang, Yixuan, Haitao Yang, Yu Ren, et al.. (2025). China’s naturally regenerated forests currently have greater aboveground carbon accumulation rates than newly planted forests. Communications Earth & Environment. 6(1). 4 indexed citations
5.
Wang, Guoqiang, Baolin Xue, Jürgen Knauer, et al.. (2025). No widespread decline in canopy conductance under elevated atmospheric CO2. Agricultural and Forest Meteorology. 371. 110649–110649. 1 indexed citations
6.
Qi, Wenhua, Xiaomei Hu, Hao Bai, et al.. (2024). Decreased river runoff on the Mongolian Plateau since around 2000. Landscape Ecology. 39(4). 1 indexed citations
7.
Yang, Haitao, Shengli Tao, Yanjun Su, et al.. (2024). Carbon storage through China’s planted forest expansion. Nature Communications. 15(1). 4106–4106. 63 indexed citations breakdown →
8.
Li, Wenkai, Xiaomei Hu, Yanjun Su, et al.. (2024). A new method for voxel‐based modelling of three‐dimensional forest scenes with integration of terrestrial and airborne LiDAR data. Methods in Ecology and Evolution. 15(3). 569–582. 11 indexed citations
9.
Yan, Tao, Wentao Luo, Shengli Tao, et al.. (2024). Aridity-dependent resistance but strong resilience of grassland ANPP to naturally occurring precipitation extremes. Journal of Plant Ecology. 17(6). 2 indexed citations
10.
Ren, Yu, Hongcan Guan, Haitao Yang, et al.. (2024). Discovering and measuring giant trees through the integration of multi‐platform lidar data. Methods in Ecology and Evolution. 15(10). 1889–1905. 2 indexed citations
11.
Fan, Lei, Frédéric Frappart, Jean‐Pierre Wigneron, et al.. (2024). Satellite-Observed Increase in Aboveground Carbon over Southwest China during 2013-2021. SHILAP Revista de lepidopterología. 4. 10 indexed citations
12.
Li, Xiaojun, Jean‐Pierre Wigneron, Frédéric Frappart, et al.. (2022). The first global soil moisture and vegetation optical depth product retrieved from fused SMOS and SMAP L-band observations. Remote Sensing of Environment. 282. 113272–113272. 52 indexed citations
13.
Tao, Shengli, Jingyun Fang, Suhui Ma, et al.. (2019). Changes in China’s lakes: climate and human impacts. National Science Review. 7(1). 132–140. 163 indexed citations
14.
Wang, Zhiheng, Yaoqi Li, Xiangyan Su, et al.. (2019). Patterns and ecological determinants of woody plant height in eastern Eurasia and its relation to primary productivity. Journal of Plant Ecology. 12(5). 791–803. 19 indexed citations
15.
Ma, Qin, Yanjun Su, Shengli Tao, & Qinghua Guo. (2017). Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California. International Journal of Digital Earth. 11(5). 485–503. 43 indexed citations
16.
Xue, Baolin, Qinghua Guo, Tianyu Hu, et al.. (2017). Global patterns of woody residence time and its influence on model simulation of aboveground biomass. Global Biogeochemical Cycles. 31(5). 821–835. 21 indexed citations
17.
Wang, Shaopeng, Michel Loreau, Jean‐François Arnoldi, et al.. (2017). An invariability-area relationship sheds new light on the spatial scaling of ecological stability. Nature Communications. 8(1). 15211–15211. 61 indexed citations
18.
Xue, Baolin, Qinghua Guo, Tianyu Hu, et al.. (2016). Evaluation of modeled global carbon dynamics: analysis based on global carbon flux and above-ground biomass data. 1 indexed citations
19.
Tao, Shengli, Qinghua Guo, Fangfang Wu, et al.. (2016). Spatial scale and pattern dependences of aboveground biomass estimation from satellite images: a case study of the Sierra National Forest, California. Landscape Ecology. 31(8). 1711–1723. 5 indexed citations
20.
Su, Yanjun, Qinghua Guo, Baolin Xue, et al.. (2015). Spatial distribution of forest aboveground biomass in China: Estimation through combination of spaceborne lidar, optical imagery, and forest inventory data. Remote Sensing of Environment. 173. 187–199. 208 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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