Wei Yu

4.6k total citations · 1 hit paper
77 papers, 2.1k citations indexed

About

Wei Yu is a scholar working on Atmospheric Science, Global and Planetary Change and Water Science and Technology. According to data from OpenAlex, Wei Yu has authored 77 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Atmospheric Science, 54 papers in Global and Planetary Change and 13 papers in Water Science and Technology. Recurrent topics in Wei Yu's work include Meteorological Phenomena and Simulations (37 papers), Climate variability and models (37 papers) and Cryospheric studies and observations (13 papers). Wei Yu is often cited by papers focused on Meteorological Phenomena and Simulations (37 papers), Climate variability and models (37 papers) and Cryospheric studies and observations (13 papers). Wei Yu collaborates with scholars based in China, Canada and United States. Wei Yu's co-authors include Gary Parker, Yasuhiro Fukushima, Marcelo H. García, David Gochis, David Yates, Renhe Zhang, Xiaoyan Wang, Kyoko Ikeda, Roy Rasmussen and Kristi R. Arsenault and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Wei Yu

72 papers receiving 2.1k citations

Hit Papers

High-Resolution Coupled Climate Runoff Simulations of Sea... 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Yu China 22 1.4k 1.3k 446 321 314 77 2.1k
Fred C. Bosveld Netherlands 29 1.8k 1.3× 2.1k 1.6× 228 0.5× 874 2.7× 89 0.3× 82 2.7k
David A. R. Kristovich United States 29 1.6k 1.2× 1.5k 1.1× 198 0.4× 233 0.7× 109 0.3× 55 2.0k
Xindi Bian United States 28 2.3k 1.6× 2.5k 1.9× 218 0.5× 506 1.6× 89 0.3× 99 3.1k
Chiel C. van Heerwaarden Netherlands 27 2.3k 1.6× 2.8k 2.1× 239 0.5× 833 2.6× 103 0.3× 90 3.6k
Sarith Mahanama United States 28 1.9k 1.3× 1.9k 1.4× 958 2.1× 1.4k 4.5× 59 0.2× 54 3.3k
Pablo Javier Grunmann Brazil 4 1.9k 1.4× 2.0k 1.5× 422 0.9× 645 2.0× 36 0.1× 5 2.6k
J. S. Deems United States 25 2.3k 1.6× 1.3k 1.0× 983 2.2× 692 2.2× 196 0.6× 57 3.2k
Enrique Rosero United States 11 1.5k 1.1× 1.8k 1.3× 800 1.8× 653 2.0× 41 0.1× 13 2.5k
Helin Wei United States 20 1.4k 1.0× 1.7k 1.3× 951 2.1× 735 2.3× 43 0.1× 27 2.6k
W. James Steenburgh United States 31 2.6k 1.8× 2.4k 1.8× 213 0.5× 294 0.9× 96 0.3× 82 2.9k

Countries citing papers authored by Wei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Wei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Yu. A scholar is included among the top collaborators of Wei 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 Wei Yu. Wei Yu 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.
Luo, Haolin, Deliang Chen, Song Yang, Wei Yu, & Ziqian Wang. (2025). Calibrating the simulated summer precipitation trend over the southern slope of the Tibetan Plateau in CMIP6 models using a sub-selection method. Advances in Climate Change Research. 16(1). 35–43. 3 indexed citations
2.
Yu, Wei, et al.. (2025). Increasing anthropogenic contributions on hydrochemical evolution of groundwater in the Yellow River basin over the past decade. Applied Geochemistry. 183. 106331–106331. 2 indexed citations
3.
Yu, Wei, Song Yang, Yimin Liu, et al.. (2024). Potential Impacts of Winter Arctic Sea Ice on Subsequent Spring Thermal Condition Over the Tibetan Plateau. Journal of Geophysical Research Atmospheres. 129(6). 4 indexed citations
5.
Yu, Wei, et al.. (2024). Water Level Inversion Detection Method for Water Level Images without a Scale in Complex Environments. Water. 16(8). 1176–1176. 2 indexed citations
7.
Zhang, Tuantuan, et al.. (2023). Changes in concurrent precipitation and temperature extremes over the Asian monsoon region: observation and projection. Environmental Research Letters. 18(4). 44021–44021. 21 indexed citations
8.
Li, Chuxuan, Alexander L. Handwerger, Jiali Wang, et al.. (2022). Augmentation of WRF-Hydro to simulate overland-flow- and streamflow-generated debris flow susceptibility in burn scars. Natural hazards and earth system sciences. 22(7). 2317–2345. 16 indexed citations
9.
Wang, Xiaoyan, Renhe Zhang, Yanke Tan, & Wei Yu. (2021). Dominant synoptic patterns associated with the decay process of PM 2.5 pollution episodes around Beijing. Atmospheric chemistry and physics. 21(4). 2491–2508. 18 indexed citations
10.
Xue, Z. George, et al.. (2021). Hydrometeorology and hydrology of flooding in Cape Fear River basin during Hurricane Florence in 2018. Journal of Hydrology. 603. 127139–127139. 10 indexed citations
11.
Xue, Z. George, et al.. (2020). A Process-Based, Fully Distributed Soil Erosion and Sediment Transport Model for WRF-Hydro. Water. 12(6). 1840–1840. 9 indexed citations
12.
Gochis, David, Wei Yu, A. L. Dugger, et al.. (2014). Recent Developments and Applications of the WRF-Hydro Modeling System for Continental Scale Water Cycle Predictions. AGUFM. 2014. 1 indexed citations
13.
Gochis, David, et al.. (2014). Modeling changes in extreme snowfall events in the Central Rocky Mountains Region with the Fully-Coupled WRF-Hydro Modeling System. EGU General Assembly Conference Abstracts. 16094. 3 indexed citations
14.
Yu, Wei. (2013). Coincidence risk of flood hydrographs between Yangtze River and Qing River. Journal of Hydroelectric Engineering. 5 indexed citations
15.
Yu, Wei. (2013). Effect of clonal integration on ramet population regeneration of two Fargesia(bamboo) species under simulated ingesting interference. Chinese Journal of Plant Ecology. 2 indexed citations
16.
Fan, Qi, Wei Yu, Shaojia Fan, et al.. (2013). Process analysis of a regional air pollution episode over Pearl River Delta Region, China, using the MM5-CMAQ model. Journal of the Air & Waste Management Association. 64(4). 406–418. 23 indexed citations
17.
Yu, Wei. (2012). The spatial distribution of Cydia pomonella eggs in apple orchards in Gansu Province. Kunchong zhishi. 2 indexed citations
18.
Fan, Shaojia, et al.. (2011). Atmospheric boundary layer characteristics over the Pearl River Delta, China, during the summer of 2006: measurement and model results. Atmospheric chemistry and physics. 11(13). 6297–6310. 68 indexed citations
19.
Gochis, David, Stephen W. Nesbitt, Wei Yu, & Steve Williams. (2009). Comparison of gauge-corrected versus non-gauge corrected satellite-based quantitative precipitation estimates during the 2004 NAME enhanced observing period. Atmósfera. 22(1). 69–98. 17 indexed citations
20.
Zhu, Rong, et al.. (2008). Application of Wind Energy Simulation Toolkit(WEST) to Wind Energy Numerical Simulation of China. Gaoyuan qixiang. 27(1). 202–207. 3 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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