Entao Yu

1.7k total citations
40 papers, 1.4k citations indexed

About

Entao Yu is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Entao Yu has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Global and Planetary Change, 33 papers in Atmospheric Science and 6 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Entao Yu's work include Climate variability and models (38 papers), Meteorological Phenomena and Simulations (25 papers) and Cryospheric studies and observations (12 papers). Entao Yu is often cited by papers focused on Climate variability and models (38 papers), Meteorological Phenomena and Simulations (25 papers) and Cryospheric studies and observations (12 papers). Entao Yu collaborates with scholars based in China, Norway and United States. Entao Yu's co-authors include Huijun Wang, Jianqi Sun, Huopo Chen, Dabang Jiang, Donglin Guo, Ran Zhang, Zhongshi Zhang, Huijun Wang, Song Yang and Song Yang and has published in prestigious journals such as The Science of The Total Environment, Earth and Planetary Science Letters and Geophysical Research Letters.

In The Last Decade

Entao Yu

39 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Entao Yu China 19 1.1k 1.0k 141 117 101 40 1.4k
Salvatore Pascale United States 21 955 0.9× 728 0.7× 205 1.5× 109 0.9× 63 0.6× 39 1.3k
Juan José Gómez‐Navarro Spain 24 1.1k 1.0× 1.2k 1.2× 74 0.5× 42 0.4× 118 1.2× 62 1.5k
Anji Seth United States 19 1.4k 1.3× 1.3k 1.2× 158 1.1× 78 0.7× 82 0.8× 27 1.7k
Jacob Scheff United States 13 1.1k 1.1× 673 0.7× 266 1.9× 73 0.6× 58 0.6× 19 1.3k
Maximiliano Viale Argentina 17 847 0.8× 945 0.9× 157 1.1× 25 0.2× 60 0.6× 31 1.2k
Zunya Wang China 17 1.7k 1.6× 1.6k 1.6× 151 1.1× 76 0.6× 82 0.8× 40 2.0k
Veronika Gayler Germany 12 1.6k 1.5× 1.0k 1.0× 114 0.8× 86 0.7× 267 2.6× 17 1.9k
S. O. Krichak Israel 25 1.9k 1.8× 1.7k 1.7× 136 1.0× 82 0.7× 99 1.0× 43 2.1k
Wenling An China 25 1.2k 1.2× 1.4k 1.4× 123 0.9× 33 0.3× 37 0.4× 59 1.6k
Juan Antonio Rivera Argentina 20 988 0.9× 650 0.6× 320 2.3× 138 1.2× 119 1.2× 56 1.3k

Countries citing papers authored by Entao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Entao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Entao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Entao Yu. A scholar is included among the top collaborators of Entao 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 Entao Yu. Entao 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.
Yu, Lingxue, et al.. (2025). Improving the simulation of maize growth using WRF-Crop model based on data assimilation and local maize characteristics. Agricultural and Forest Meteorology. 365. 110478–110478. 3 indexed citations
2.
Zhang, Ling, Zhongshi Zhang, Lu Li, et al.. (2025). Flood modeling prior to the instrumental era reveals limited magnitude of 1931 Yangtze flood. npj Climate and Atmospheric Science. 8(1). 1 indexed citations
3.
Zhang, Zhongshi, et al.. (2024). Warm Advection as a Cause for Extreme Heat Event in North China. Geophysical Research Letters. 51(12). 3 indexed citations
4.
Liu, Dongwei, et al.. (2024). Warming-and-wetting trend over the China’s drylands: Observational evidence and future projection. Global Environmental Change. 86. 102826–102826. 15 indexed citations
5.
6.
Yu, Entao, Xiaoyan Liu, Jiawei Li, & Hui Tao. (2023). Calibration and Evaluation of the WRF-Hydro Model in Simulating the Streamflow over the Arid Regions of Northwest China: A Case Study in Kaidu River Basin. Sustainability. 15(7). 6175–6175. 4 indexed citations
7.
Yu, Entao, et al.. (2023). Future climate change for major agricultural zones in China as projected by CORDEX-EA-II, CMIP5 and CMIP6 ensembles. Atmospheric Research. 288. 106731–106731. 25 indexed citations
8.
9.
Bai, Rui, Jianqi Sun, Entao Yu, & Shui Yu. (2022). Performance of the Weather Research and Forecasting model in simulating climate over northern Asia. International Journal of Climatology. 42(16). 10285–10307. 3 indexed citations
10.
Li, Jiawei, Zhiwei Han, Vanisa Surapipith, et al.. (2022). Direct and indirect effects and feedbacks of biomass burning aerosols over Mainland Southeast Asia and South China in springtime. The Science of The Total Environment. 842. 156949–156949. 25 indexed citations
11.
Yang, Jianjun, et al.. (2021). Spatiotemporal Variations of Drought in the Arid Region of Northwestern China during 1950–2012. Advances in Meteorology. 2021. 1–12. 9 indexed citations
12.
Xiao, Ziniu, et al.. (2019). Projection of temperature change and extreme temperature events in the Lancang–Mekong River basin. Atmospheric and Oceanic Science Letters. 13(1). 16–25. 12 indexed citations
13.
Yu, Entao, Ran Zhang, Dabang Jiang, et al.. (2018). High-resolution simulation of Asian monsoon response to regional uplift of the Tibetan Plateau with regional climate model nested with global climate model. Global and Planetary Change. 169. 34–47. 14 indexed citations
14.
Zhang, Yongyong, Jun Xia, Quanxi Shao, et al.. (2018). Regional Patterns of Extreme Precipitation and Urban Signatures in Metropolitan Areas. Journal of Geophysical Research Atmospheres. 124(2). 641–663. 50 indexed citations
15.
Li, Huixin, Huopo Chen, Huijun Wang, & Entao Yu. (2018). Future precipitation changes over China under 1.5 °C and 2.0 °C global warming targets by using CORDEX regional climate models. The Science of The Total Environment. 640-641. 543–554. 75 indexed citations
16.
Yu, Entao, et al.. (2015). Projected Climate Change in the Northwestern Arid Regions of China: An Ensemble of Regional Climate Model Simulations. Atmospheric and Oceanic Science Letters. 8(3). 134–142. 5 indexed citations
17.
Yu, Entao, et al.. (2013). High-Resolution Hindcast of Record-Breaking Rainfall in Beijing and Impact of Topography. Atmospheric and Oceanic Science Letters. 6(5). 253–258. 1 indexed citations
18.
Wang, Huijun, Jianqi Sun, Huopo Chen, et al.. (2012). Extreme Climate in China: Facts, Simulation and Projection. Meteorologische Zeitschrift. 21(3). 279–304. 231 indexed citations
19.
Wang, Huijun, Entao Yu, & Song Yang. (2011). An exceptionally heavy snowfall in Northeast china: large-scale circulation anomalies and hindcast of the NCAR WRF model. Meteorology and Atmospheric Physics. 113(1-2). 11–25. 91 indexed citations
20.
Yu, Entao, et al.. (2010). A Quick Report on a Dynamical Downscaling Simulation over China Using the Nested Model. Atmospheric and Oceanic Science Letters. 3(6). 325–329. 86 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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