Pei Wang

3.1k total citations · 1 hit paper
90 papers, 2.5k citations indexed

About

Pei Wang is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Pei Wang has authored 90 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Global and Planetary Change, 33 papers in Atmospheric Science and 28 papers in Water Science and Technology. Recurrent topics in Pei Wang's work include Plant Water Relations and Carbon Dynamics (47 papers), Hydrology and Watershed Management Studies (25 papers) and Tree-ring climate responses (19 papers). Pei Wang is often cited by papers focused on Plant Water Relations and Carbon Dynamics (47 papers), Hydrology and Watershed Management Studies (25 papers) and Tree-ring climate responses (19 papers). Pei Wang collaborates with scholars based in China, United States and Japan. Pei Wang's co-authors include Xiaoyan Li, Xiuchen Wu, Yongmei Huang, Zhenqing Shi, Cicheng Zhang, Yujun Ma, John Gibson, Xia Hu, Zhi Dang and Tsutomu Yamanaka and has published in prestigious journals such as Environmental Science & Technology, Geochimica et Cosmochimica Acta and The Science of The Total Environment.

In The Last Decade

Pei Wang

88 papers receiving 2.4k citations

Hit Papers

Differentiating drought legacy effects on vegetation grow... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei Wang China 30 1.3k 636 549 419 284 90 2.5k
Ruixia Guo China 13 1.7k 1.3× 949 1.5× 298 0.5× 489 1.2× 368 1.3× 21 2.8k
Changchun Xu China 28 1.4k 1.1× 917 1.4× 1.2k 2.2× 447 1.1× 292 1.0× 64 2.8k
Ramiro Neves Portugal 30 855 0.7× 413 0.6× 771 1.4× 778 1.9× 259 0.9× 156 3.0k
Christian Opp Germany 26 796 0.6× 335 0.5× 604 1.1× 316 0.8× 341 1.2× 110 2.1k
William E. Emmerich United States 27 1.0k 0.8× 312 0.5× 485 0.9× 514 1.2× 514 1.8× 53 2.5k
Xinxiao Yu China 31 969 0.7× 798 1.3× 375 0.7× 391 0.9× 561 2.0× 121 2.5k
M. Iggy Litaor Israel 22 430 0.3× 615 1.0× 524 1.0× 397 0.9× 323 1.1× 74 2.1k
Julian Aherne Canada 31 701 0.5× 647 1.0× 363 0.7× 699 1.7× 350 1.2× 152 3.1k
Mark S. Castro United States 25 936 0.7× 432 0.7× 282 0.5× 768 1.8× 647 2.3× 49 2.6k
Honglang Xiao China 26 748 0.6× 724 1.1× 468 0.9× 275 0.7× 310 1.1× 72 2.0k

Countries citing papers authored by Pei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Wang. A scholar is included among the top collaborators of Pei Wang 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 Pei Wang. Pei Wang 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.
Wang, Xuechao, et al.. (2025). Spatiotemporal evolution, determinants, and forecasting of the water use structure in Guangdong Province, China. Journal of Cleaner Production. 509. 145594–145594. 1 indexed citations
4.
Yao, Yuan, et al.. (2024). Convergence and differentiation of tree radial growth in the Northern Hemisphere. Agricultural and Forest Meteorology. 360. 110300–110300.
5.
Li, Siying, Dapeng Zhang, Chunlai Zhang, et al.. (2024). Interannual dynamics and controlling factors of the ratio of actual to potential evapotranspiration across typical ecosystems within the Heihe River Basin. Hydrological Processes. 38(1). 4 indexed citations
6.
Yuan, Jinhong, Lin Yang, Panpan Yu, et al.. (2023). Comparison and development of scanning electron microscope techniques for delicate plant tissues. Plant Science. 340. 111963–111963. 11 indexed citations
7.
9.
Wu, Xiuchen, Xiaofei Jiang, Hongyan Liu, et al.. (2022). CPSDv0: a forest stand structure database for plantation forests in China. Big Earth Data. 7(1). 212–230. 8 indexed citations
10.
Wang, Pei, Xiaoyan Li, Xin Song, et al.. (2021). Seasonal variations in water flux compositions controlled by leaf development: isotopic insights at the canopy–atmosphere interface. International Journal of Biometeorology. 65(10). 1719–1732. 3 indexed citations
11.
Hartmann, Henrik, Hongyan Liu, Fangzhong Shi, et al.. (2021). Precipitation Gradient Drives Divergent Relationship between Non-Structural Carbohydrates and Water Availability in Pinus tabulaeformis of Northern China. Forests. 12(2). 133–133. 13 indexed citations
12.
Cui, Jiangpeng, Lide Tian, Zhongwang Wei, et al.. (2020). Quantifying the Controls on Evapotranspiration Partitioning in the Highest Alpine Meadow Ecosystem. Water Resources Research. 56(4). 43 indexed citations
13.
Xiong, Yujiu, Wenli Zhao, Pei Wang, Kyaw Tha Paw U, & Guo Yu Qiu. (2019). Simple and Applicable Method for Estimating Evapotranspiration and Its Components in Arid Regions. Journal of Geophysical Research Atmospheres. 124(17-18). 9963–9982. 23 indexed citations
14.
Shi, Fangzhong, Xiuchen Wu, Xiaoyan Li, et al.. (2019). Seasonal Divergent Tree Growth Trends and Growth Variability along Drought Gradient over Northeastern China. Forests. 10(1). 39–39. 6 indexed citations
15.
Wang, Pei, Xiaoyan Li, Lixin Wang, et al.. (2019). Seasonality of the Transpiration Fraction and Its Controls Across Typical Ecosystems Within the Heihe River Basin. Journal of Geophysical Research Atmospheres. 124(3). 1277–1291. 31 indexed citations
16.
Wu, Xiuchen, Xiaoyan Li, Yunhao Chen, et al.. (2019). Atmospheric Water Demand Dominates Daily Variations in Water Use Efficiency in Alpine Meadows, Northeastern Tibetan Plateau. Journal of Geophysical Research Biogeosciences. 124(7). 2174–2185. 51 indexed citations
17.
Hu, Xia, Xiaoyan Li, Pei Wang, et al.. (2018). Influence of exclosure on CT-measured soil macropores and root architecture in a shrub-encroached grassland in northern China. Soil and Tillage Research. 187. 21–30. 44 indexed citations
18.
Ma, Yujun, Xiaoyan Li, Yongmei Huang, et al.. (2018). Measurements and Modeling of the Water Budget in Semiarid High‐Altitude Qinghai Lake Basin, Northeast Qinghai‐Tibet Plateau. Journal of Geophysical Research Atmospheres. 123(19). 25 indexed citations
19.
Wang, Pei, et al.. (2018). Divergent evapotranspiration partition dynamics between shrubs and grasses in a shrub‐encroached steppe ecosystem. New Phytologist. 219(4). 1325–1337. 52 indexed citations
20.
Pei, Tingting, Xiuchen Wu, Xiaoyan Li, et al.. (2016). Seasonal divergence in the sensitivity of evapotranspiration to climate and vegetation growth in the Yellow River Basin, China. Journal of Geophysical Research Biogeosciences. 122(1). 103–118. 46 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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