Guo Yu

882 total citations · 1 hit paper
24 papers, 576 citations indexed

About

Guo Yu is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Guo Yu has authored 24 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Global and Planetary Change, 10 papers in Water Science and Technology and 8 papers in Atmospheric Science. Recurrent topics in Guo Yu's work include Hydrology and Watershed Management Studies (10 papers), Flood Risk Assessment and Management (10 papers) and Hydrology and Drought Analysis (9 papers). Guo Yu is often cited by papers focused on Hydrology and Watershed Management Studies (10 papers), Flood Risk Assessment and Management (10 papers) and Hydrology and Drought Analysis (9 papers). Guo Yu collaborates with scholars based in United States, China and Germany. Guo Yu's co-authors include Daniel B. Wright, Zhihua Zhu, Xiaohong Chen, Zhihe Chen, John F. England, Kathleen D. Holman, Shijie Jiang, Jakob Zscheischler, Wenjia Wang and Hailong Yin and has published in prestigious journals such as Nature Communications, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Guo Yu

23 papers receiving 566 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.

How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences

2024 60 citations Shijie Jiang, Alexander Brenning et al. Earth s Future profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guo Yu United States	12	452	282	192	164	27	24	576
Ioannis M. Kourtis Greece	13	407 0.9×	255 0.9×	191 1.0×	112 0.7×	19 0.7×	20	510
Dinh Kha Dang Vietnam	11	311 0.7×	199 0.7×	111 0.6×	104 0.6×	37 1.4×	32	440
Ashoke Basistha India	8	386 0.9×	147 0.5×	133 0.7×	252 1.5×	27 1.0×	11	523
Miyuru B. Gunathilake Sri Lanka	14	300 0.7×	242 0.9×	155 0.8×	101 0.6×	20 0.7×	41	475
Guy Shalev United States	8	345 0.8×	372 1.3×	348 1.8×	133 0.8×	11 0.4×	11	577
Mohit Prakash Mohanty India	14	589 1.3×	300 1.1×	120 0.6×	168 1.0×	24 0.9×	34	657
Sanjib Sharma United States	13	315 0.7×	239 0.8×	122 0.6×	155 0.9×	28 1.0×	40	465
P. E. Zope India	7	414 0.9×	183 0.6×	141 0.7×	106 0.6×	32 1.2×	8	479
Manoranjan Muthusamy United Kingdom	11	292 0.6×	233 0.8×	172 0.9×	95 0.6×	26 1.0×	16	473
Nassir S. Al-Amri Saudi Arabia	13	395 0.9×	335 1.2×	269 1.4×	81 0.5×	42 1.6×	41	589

Countries citing papers authored by Guo Yu

Since Specialization

Citations

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

Fields of papers citing papers by Guo Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Guo Yu. A scholar is included among the top collaborators of Guo Yu 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 Guo Yu. Guo Yu 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:

20 of 20 papers shown

Jennings, Keith S., Benjamin J. Hatchett, Nam Hwi Hur, et al.. (2025). Machine learning shows a limit to rain-snow partitioning accuracy when using near-surface meteorology. Nature Communications. 16(1). 2929–2929. 2 indexed citations

Jiang, Shijie, Alexander Brenning, Wantong Li, et al.. (2024). How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences. Earth s Future. 12(7). 60 indexed citations breakdown →

Yu, Guo, Keith S. Jennings, Benjamin J. Hatchett, et al.. (2024). Crowdsourced Data Reveal Shortcomings in Precipitation Phase Products for Rain and Snow Partitioning. Geophysical Research Letters. 51(24). 3 indexed citations

Xue, Tong, et al.. (2024). Multifunctional radiative cooling cellulose fabrics by in situ grown ZnO for personal thermal management. Cellulose. 31(18). 11185–11198. 1 indexed citations

Zoccatelli, Davide, Daniel B. Wright, Jeremy T. White, Michael N. Fienen, & Guo Yu. (2024). Precipitation uncertainty estimation and rainfall-runoff model calibration using iterative ensemble smoothers. Advances in Water Resources. 186. 104658–104658. 6 indexed citations

Li, Chuxuan, et al.. (2023). Toward Improved Regional Hydrological Model Performance Using State‐Of‐The‐Science Data‐Informed Soil Parameters. Water Resources Research. 59(9). 6 indexed citations

Yu, Guo, et al.. (2023). Performance of Fire Danger Indices and Their Utility in Predicting Future Wildfire Danger Over the Conterminous United States. Earth s Future. 11(11). 10 indexed citations

Yu, Guo, Tao Liu, Luke A. McGuire, et al.. (2023). Process‐Based Quantification of the Role of Wildfire in Shaping Flood Frequency. Water Resources Research. 59(12). 11 indexed citations

Yu, Guo, Benjamin J. Hatchett, Markus Berli, et al.. (2023). The Nonstationary Flood Hydrology of an Urbanizing Arid Watershed. Journal of Hydrometeorology. 24(1). 87–104. 5 indexed citations

10.

Wang, Xianwei, Guo Yu, & Jie Ren. (2021). The Coupling Effect of Flood Discharge and Storm Surge on Extreme Flood Stages: A Case Study in the Pearl River Delta, South China. International Journal of Disaster Risk Science. 12(4). 1–15. 14 indexed citations

11.

Wright, Daniel B., Guo Yu, & John F. England. (2020). Six decades of rainfall and flood frequency analysis using stochastic storm transposition: Review, progress, and prospects. Journal of Hydrology. 585. 124816–124816. 53 indexed citations

12.

Yu, Guo, Daniel B. Wright, & Zhe Li. (2020). The Upper Tail of Precipitation in Convection‐Permitting Regional Climate Models and Their Utility in Nonstationary Rainfall and Flood Frequency Analysis. Earth s Future. 8(10). 28 indexed citations

13.

Tian, Yongliang, et al.. (2019). Structured simulation platform architecture for fighter cloud operations. Beijing Hangkong Hangtian Daxue xuebao. 45(10). 1938.

14.

Yu, Guo, et al.. (2019). Process-based flood frequency analysis in an agricultural watershed exhibiting nonstationary flood seasonality. Hydrology and earth system sciences. 23(5). 2225–2243. 44 indexed citations

15.

Zhu, Zhihua, Daniel B. Wright, & Guo Yu. (2018). The Impact of Rainfall Space‐Time Structure in Flood Frequency Analysis. Water Resources Research. 54(11). 8983–8998. 94 indexed citations

16.

Zhu, Zhihua, Zhihe Chen, Xiaohong Chen, & Guo Yu. (2018). An assessment of the hydrologic effectiveness of low impact development (LID) practices for managing runoff with different objectives. Journal of Environmental Management. 231. 504–514. 93 indexed citations

17.

Chen, Fu‐Rong, et al.. (2017). Urban flash flood forecast using support vector machine and numerical simulation. Journal of Hydroinformatics. 20(1). 221–231. 74 indexed citations

18.

Jiang, Bing‐Hua, et al.. (2013). Mobile Sync Client Design of Cloud Storage System. Applied Mechanics and Materials. 464. 358–364. 1 indexed citations

19.

Yu, Guo, et al.. (2013). Multi-Level Automotive Service Performance Evaluation Model. Applied Mechanics and Materials. 477-478. 1517–1520. 1 indexed citations

20.

Yu, Guo, et al.. (2003). Pollen-based reconstructions of Holocene vegetation and climatic change of Tibetan Plateau. 14(2). 99. 4 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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