Xuehui Pi

546 total citations · 1 hit paper
9 papers, 341 citations indexed

About

Xuehui Pi is a scholar working on Atmospheric Science, Oceanography and Environmental Chemistry. According to data from OpenAlex, Xuehui Pi has authored 9 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atmospheric Science, 4 papers in Oceanography and 4 papers in Environmental Chemistry. Recurrent topics in Xuehui Pi's work include Hydrology and Watershed Management Studies (4 papers), Marine and coastal ecosystems (4 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (3 papers). Xuehui Pi is often cited by papers focused on Hydrology and Watershed Management Studies (4 papers), Marine and coastal ecosystems (4 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (3 papers). Xuehui Pi collaborates with scholars based in China, Hong Kong and Denmark. Xuehui Pi's co-authors include Lian Feng, Weifeng Li, Jing Tang, Junguo Liu, Chunmiao Zheng, Luke Gibson, Rasmus Fensholt, Brett A. Bryan, Enze Ma and Yang Xu and has published in prestigious journals such as Nature Communications, Remote Sensing of Environment and Journal of Hydrology.

In The Last Decade

Xuehui Pi

8 papers receiving 336 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mapping global lake dynamics reveals the emerging roles of small lakes

2022 194 citations Xuehui Pi, Lian Feng et al. Nature Communications profile →

Peers

Xuehui Pi

WST

GPC

OCEAN

EC

AS

Craig Brinkerhoff United States

Yanling Hao China

Marzia Ciampittiello Italy

Ethan D. Kyzivat United States

Peter Regier United States

Darius Jakimavičius Lithuania

Donghui Xu United States

Xiaojuan Guo China

Reinert Huseby Karlsen Sweden

Junsheng Yue China

Craig Brinkerhoff United States

Xuehui Pi

202 ×1.4

WST

208 ×1.4

GPC

140 ×1.2

OCEAN

69 ×1.0

EC

70 ×1.0

AS

Citations per year, relative to Xuehui Pi Xuehui Pi (= 1×) peers Craig Brinkerhoff

Countries citing papers authored by Xuehui Pi

Since Specialization

Citations

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

Fields of papers citing papers by Xuehui Pi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuehui Pi

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Liu, Jinying, Huabing Huang, Xuejiao Hou, et al.. (2025). Expansion of aquatic vegetation in northern lakes amplified methane emissions. Nature Geoscience. 18(4). 322–329. 2 indexed citations

2.

Wang, Ye, et al.. (2024). Revealing lake dynamics across the Amur River Basin over the past two decades using multi-source remote sensing datasets. Journal of Hydrology Regional Studies. 55. 101928–101928.

3.

Ji, Shaocheng, Lin Chen, Yingjie Yang, et al.. (2024). Quantifying permafrost thawing and its impact on lake storage dynamics in the Qinghai-Tibet Plateau. Journal of Hydrology. 650. 132529–132529. 2 indexed citations

4.

Tong, Yan, Lian Feng, Xinchi Wang, et al.. (2023). Global lakes are warming slower than surface air temperature due to accelerated evaporation. Nature Water. 1(11). 929–940. 58 indexed citations

5.

Feng, Lian, et al.. (2023). Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China. Remote Sensing of Environment. 297. 113775–113775. 9 indexed citations

6.

Pi, Xuehui, Lian Feng, Yang Xu, et al.. (2022). Mapping global lake dynamics reveals the emerging roles of small lakes. Nature Communications. 13(1). 5777–5777. 194 indexed citations breakdown →

7.

Pi, Xuehui, Lian Feng, Weifeng Li, et al.. (2021). Chlorophyll-a concentrations in 82 large alpine lakes on the Tibetan Plateau during 2003–2017: temporal–spatial variations and influencing factors. International Journal of Digital Earth. 14(6). 714–735. 24 indexed citations

8.

Pi, Xuehui, Lian Feng, Weifeng Li, et al.. (2020). Water clarity changes in 64 large alpine lakes on the Tibetan Plateau and the potential responses to lake expansion. ISPRS Journal of Photogrammetry and Remote Sensing. 170. 192–204. 27 indexed citations

9.

Tian, Yong, Jianzhi Xiong, Xin He, et al.. (2018). Joint Operation of Surface Water and Groundwater Reservoirs to Address Water Conflicts in Arid Regions: An Integrated Modeling Study. Water. 10(8). 1105–1105. 25 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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