Peirong Lin

4.9k total citations · 2 hit papers
62 papers, 2.6k citations indexed

About

Peirong Lin is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Peirong Lin has authored 62 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Global and Planetary Change, 46 papers in Water Science and Technology and 22 papers in Atmospheric Science. Recurrent topics in Peirong Lin's work include Hydrology and Watershed Management Studies (46 papers), Flood Risk Assessment and Management (35 papers) and Climate variability and models (12 papers). Peirong Lin is often cited by papers focused on Hydrology and Watershed Management Studies (46 papers), Flood Risk Assessment and Management (35 papers) and Climate variability and models (12 papers). Peirong Lin collaborates with scholars based in United States, China and Japan. Peirong Lin's co-authors include Ming Pan, Zong‐Liang Yang, Eric F. Wood, Colin J. Gleason, Dai Yamazaki, George H. Allen, Zhenzhong Zeng, Hylke E. Beck, Hui Zheng and Lingcheng Li 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

Peirong Lin

58 papers receiving 2.6k 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.

High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015

2020 616 citations Xiaoping Liu, Yinghuai Huang et al. Nature Sustainability profile →
The importance of hydrology in routing terrestrial carbon to the atmosphere via global streams and rivers

2022 124 citations Shaoda Liu, C Kuhn et al. Proceedings of the National Academy of Sciences profile →

Peers

Peirong Lin

GPC

WST

ECOLO

Jiming Jin United States

Xihui Gu China

Chantal Donnelly Sweden

Qiaohong Sun China

Helen Davies United Kingdom

Wolfgang‐Albert Flügel Germany

Yanqing Lian China

Claudia Teutschbein Sweden

Manolis Grillakis Greece

Julien Boé France

Jiming Jin United States

Peirong Lin

1.9k ×1.0

GPC

819 ×0.7

WST

1.6k ×2.2

516 ×0.9

270 ×0.6

ECOLO

Citations per year, relative to Peirong Lin Peirong Lin (= 1×) peers Jiming Jin

Countries citing papers authored by Peirong Lin

Since Specialization

Citations

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

Fields of papers citing papers by Peirong Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peirong Lin

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

All Works

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20 of 20 papers shown

Piliouras, Anastasia, et al.. (2025). Natural fluvial connection across watersheds. Earth-Science Reviews. 269. 105203–105203.

Liu, Wen, Yiyi Li, Dongfeng Li, et al.. (2025). Impacts of changes in climate, cryosphere, and vegetation on freshwater supply in the southeastern Tibetan Plateau. Journal of Hydrology. 661. 133713–133713. 1 indexed citations

David, Cédric H., George H. Allen, Tamlin M. Pavelsky, et al.. (2024). Global patterns in river water storage dependent on residence time. Nature Geoscience. 17(5). 433–439. 17 indexed citations

Lin, Peirong, et al.. (2024). SHIFT: a spatial-heterogeneity improvement in DEM-based mapping of global geomorphic floodplains. Earth system science data. 16(8). 3873–3891. 3 indexed citations

Lin, Peirong, et al.. (2024). A synthesis of Global Streamflow Characteristics, Hydrometeorology, and Catchment Attributes (GSHA) for large sample river-centric studies. Earth system science data. 16(3). 1559–1587. 5 indexed citations

Lin, Peirong, et al.. (2024). Tracking global floodplain urban growth. 2(3). 100086–100086. 2 indexed citations

Lin, Peirong, Shang Gao, Jida Wang, et al.. (2023). Reversal of the levee effect towards sustainable floodplain management. Nature Sustainability. 6(12). 1578–1586. 29 indexed citations

Lin, Peirong, Dongmei Feng, Colin J. Gleason, et al.. (2023). Inversion of river discharge from remotely sensed river widths: A critical assessment at three-thousand global river gauges. Remote Sensing of Environment. 287. 113489–113489. 22 indexed citations

Liu, Yonghe, Zong‐Liang Yang, & Peirong Lin. (2023). Parallel river channel routing computation based on a straightforward domain decomposition of river networks. Journal of Hydrology. 625. 129988–129988. 1 indexed citations

10.

Liu, Shaoda, C Kuhn, Giuseppe Amatulli, et al.. (2022). The importance of hydrology in routing terrestrial carbon to the atmosphere via global streams and rivers. Proceedings of the National Academy of Sciences. 119(11). e2106322119–e2106322119. 124 indexed citations breakdown →

11.

Liu, Shaoda, C Kuhn, Giuseppe Amatulli, et al.. (2022). The importance of hydrology in routing terrestrial carbon to the atmosphere via global streams and rivers. 14 indexed citations

12.

Feng, Dongmei, et al.. (2021). Recent changes to Arctic river discharge. Nature Communications. 12(1). 6917–6917. 127 indexed citations

13.

Allen, George H., Cédric H. David, Peirong Lin, et al.. (2021). RODEO: An algorithm and Google Earth Engine application for river discharge retrieval from Landsat. Environmental Modelling & Software. 148. 105254–105254. 20 indexed citations

14.

Zheng, Hui, Zhongfeng Xu, Wen‐Ying Wu, et al.. (2021). Ensemble Skill Gains Obtained From the Multi‐Physics Versus Multi‐Model Approaches for Continental‐Scale Hydrological Simulations. Water Resources Research. 57(7). 3 indexed citations

15.

Lin, Peirong, Ming Pan, Eric F. Wood, Dai Yamazaki, & George H. Allen. (2021). A new vector-based global river network dataset accounting for variable drainage density. Scientific Data. 8(1). 28–28. 73 indexed citations

16.

Yu, Songyan, Hong Xuan, Albert I. J. M. van Dijk, et al.. (2020). Evaluating a landscape-scale daily water balance model to support spatially continuous representation of flow intermittency throughout stream networks. Hydrology and earth system sciences. 24(11). 5279–5295. 15 indexed citations

17.

Liu, Xiaoping, Yinghuai Huang, Xiaocong Xu, et al.. (2020). High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015. Nature Sustainability. 3(7). 564–570. 616 indexed citations breakdown →

18.

Lin, Peirong, Ming Pan, George H. Allen, et al.. (2020). Global Estimates of Reach‐Level Bankfull River Width Leveraging Big Data Geospatial Analysis. Geophysical Research Letters. 47(7). 49 indexed citations

19.

Zheng, Xing, David R. Maidment, Yan Liu, David G. Tarboton, & Peirong Lin. (2016). From Forecast Hydrology to Real-Time Inundation Mapping at Continental Scale. AGU Fall Meeting Abstracts. 2016. 2 indexed citations

20.

Lin, Peirong, et al.. (2016). Snow data assimilation‐constrained land initialization improves seasonal temperature prediction. Geophysical Research Letters. 43(21). 38 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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