Xiaoliang Lü

784 total citations
18 papers, 568 citations indexed

About

Xiaoliang Lü is a scholar working on Global and Planetary Change, Ecology and Plant Science. According to data from OpenAlex, Xiaoliang Lü has authored 18 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 10 papers in Ecology and 7 papers in Plant Science. Recurrent topics in Xiaoliang Lü's work include Plant Water Relations and Carbon Dynamics (17 papers), Remote Sensing in Agriculture (8 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Xiaoliang Lü is often cited by papers focused on Plant Water Relations and Carbon Dynamics (17 papers), Remote Sensing in Agriculture (8 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Xiaoliang Lü collaborates with scholars based in China, United States and Netherlands. Xiaoliang Lü's co-authors include Qianlai Zhuang, Yaling Liu, Zhunqiao Liu, Ronggao Liu, Yang Liu, Rong Shang, Jianwu Tang, Shuqing An, Diego G. Miralles and Min Chen and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Agricultural and Forest Meteorology.

In The Last Decade

Xiaoliang Lü

17 papers receiving 558 citations

Peers

Countries citing papers authored by Xiaoliang Lü

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoliang Lü

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoliang Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoliang Lü. A scholar is included among the top collaborators of Xiaoliang Lü 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 Xiaoliang Lü. Xiaoliang Lü is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	A physically consistent dataset of water-energy-carbon fluxes across the Soil-Plant-Atmosphere Continuum 2025 ·Scientific Data ·(unknown), Yijian Zeng, (unknown), Bart Schilperoort, (unknown), Danyang Yu, (unknown), Qianqian Han, Zhunqiao Liu, Xiongbiao Peng, Chao Zhang, (unknown), Serkan Girgin, Xiaoliang Lü, Qiting Zuo, Huanjie Cai, Qiang Yu, Christiaan van der Tol, Zhongbo Su	0
2	A machine learning-driven semi-mechanistic model for estimating actual evapotranspiration: Integrating photosynthetic indicators with vapor pressure deficit 2025 ·Agricultural Water Management ·Yao Li, Xiongbiao Peng, Zhunqiao Liu, Xiaoliang Lü, Xiaobo Gu, Lianyu Yu, Jiatun Xu, Huanjie Cai	2
3	Improved estimation of gross primary productivity (GPP) using solar-induced chlorophyll fluorescence (SIF) from photosystem II 2024 ·Agricultural and Forest Meteorology ·(unknown), Zhunqiao Liu, (unknown), Xiaoliang Lü	8
4	Estimation of global transpiration from remotely sensed solar-induced chlorophyll fluorescence 2024 ·Remote Sensing of Environment ·(unknown), Zhunqiao Liu, Qiang Yu, Xiaoliang Lü	6
5	GSPHI: A novel deep learning model for predicting phage-host interactions via multiple biological information 2023 ·Computational and Structural Biotechnology Journal ·Jie Pan, (unknown), Xiaoliang Lü, Shiwei Wang, (unknown), Yanmei Sun	19
6	Relationship between Photosynthetic CO2 Assimilation and Chlorophyll Fluorescence for Winter Wheat under Water Stress 2023 ·Plants ·(unknown), Zhunqiao Liu, (unknown), Yakai Wang, Jingjing Yang, Qiang Yu, Jing Wang, Fenli Zheng, Xiaoliang Lü	10
7	Response of dryland vegetation under extreme wet events with satellite measures of greenness and fluorescence 2022 ·The Science of The Total Environment ·Song Leng, Alfredo Huete, James Cleverly, Xiaoliang Lü, Xuanlong Ma, Sicong Gao, Qiang Yu	6
8	Integrated modeling of canopy photosynthesis, fluorescence, and the transfer of energy, mass, and momentum in the soil–plant–atmosphere continuum (STEMMUS–SCOPE v1.0.0) 2021 ·Geoscientific model development ·Yunfei Wang, Yijian Zeng, Lianyu Yu, Peiqi Yang, Christiaan van der Tol, Qiang Yu, Xiaoliang Lü, Huanjie Cai, Zhongbo Su	18
9	Far-Red Chlorophyll Fluorescence Radiance Tracks Photosynthetic Carbon Assimilation Efficiency of Dark Reactions 2021 ·Applied Sciences ·Zhunqiao Liu, (unknown), (unknown), (unknown), Qiang Yu, Feng Zhao, Xiaoliang Lü	5
10	Advantage of multi-band solar-induced chlorophyll fluorescence to derive canopy photosynthesis in a temperate forest 2019 ·Agricultural and Forest Meteorology ·Zhunqiao Liu, Xiaoliang Lü, Shuqing An, Mary Heskel, Hualei Yang, Jianwu Tang	18
11	Using canopy greenness index to identify leaf ecophysiological traits during the foliar senescence in an oak forest 2018 ·Ecosphere ·Zhunqiao Liu, Shuqing An, Xiaoliang Lü, (unknown), Jianwu Tang	12
12	Comparison of Phenology Estimated from Reflectance-Based Indices and Solar-Induced Chlorophyll Fluorescence (SIF) Observations in a Temperate Forest Using GPP-Based Phenology as the Standard 2018 ·Remote Sensing ·Xiaoliang Lü, Zhunqiao Liu, Yuyu Zhou, Yaling Liu, Shuqing An, Jianwu Tang	51
13	Performance of Solar-Induced Chlorophyll Fluorescence in Estimating Water-Use Efficiency in a Temperate Forest 2018 ·Remote Sensing ·Xiaoliang Lü, Zhunqiao Liu, Yuyu Zhou, Yaling Liu, Jianwu Tang	6
14	Potential of solar-induced chlorophyll fluorescence to estimate transpiration in a temperate forest 2018 ·Agricultural and Forest Meteorology ·Xiaoliang Lü, Zhunqiao Liu, Shuqing An, Diego G. Miralles, Wouter H. Maes, Yaling Liu, Jianwu Tang	64
15	Enhanced water use efficiency in global terrestrial ecosystems under increasing aerosol loadings 2017 ·Agricultural and Forest Meteorology ·Xiaoliang Lü, Min Chen, Yaling Liu, Diego G. Miralles, Faming Wang	55
16	Global evaluation of gap-filling approaches for seasonal NDVI with considering vegetation growth trajectory, protection of key point, noise resistance and curve stability 2016 ·Remote Sensing of Environment ·Ronggao Liu, Rong Shang, Yang Liu, Xiaoliang Lü	108
17	Evaluating evapotranspiration and water-use efficiency of terrestrial ecosystems in the conterminous United States using MODIS and AmeriFlux data 2010 ·Remote Sensing of Environment ·Xiaoliang Lü, Qianlai Zhuang	161
18	Evaluating climate impacts on carbon balance of the terrestrial ecosystems in the Midwest of the United States with a process-based ecosystem model 2010 ·Mitigation and Adaptation Strategies for Global Change ·Xiaoliang Lü, Qianlai Zhuang	19

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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