Zhenyu Han

2.0k total citations · 1 hit paper
63 papers, 1.6k citations indexed

About

Zhenyu Han is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Zhenyu Han has authored 63 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Global and Planetary Change, 39 papers in Atmospheric Science and 11 papers in Water Science and Technology. Recurrent topics in Zhenyu Han's work include Climate variability and models (41 papers), Meteorological Phenomena and Simulations (25 papers) and Hydrology and Watershed Management Studies (10 papers). Zhenyu Han is often cited by papers focused on Climate variability and models (41 papers), Meteorological Phenomena and Simulations (25 papers) and Hydrology and Watershed Management Studies (10 papers). Zhenyu Han collaborates with scholars based in China, Italy and United States. Zhenyu Han's co-authors include Ying Xu, Botao Zhou, Wu Jia, Ying Shi, Xuejie Gao, Tianjun Zhou, Shuangmei Ma, Aiguo Dai, Filippo Giorgi and Yao Tong and has published in prestigious journals such as Water Research, Chemical Communications and Scientific Reports.

In The Last Decade

Zhenyu Han

60 papers receiving 1.6k citations

Hit Papers

CMIP6 Evaluation and Projection of Temperature and Precip... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenyu Han China 18 1.2k 958 225 162 136 63 1.6k
Wu Jia China 22 1.4k 1.1× 1.1k 1.1× 301 1.3× 143 0.9× 141 1.0× 67 1.8k
Pankaj Kumar India 21 1.2k 1.0× 935 1.0× 292 1.3× 134 0.8× 77 0.6× 74 1.7k
Annette L. Hirsch Australia 20 1.2k 1.0× 686 0.7× 164 0.7× 273 1.7× 117 0.9× 34 1.5k
Selma B. Guerreiro United Kingdom 15 1.5k 1.3× 845 0.9× 431 1.9× 298 1.8× 159 1.2× 21 1.8k
Louis Marelle France 17 855 0.7× 755 0.8× 146 0.6× 226 1.4× 92 0.7× 31 1.2k
Jianqing Zhai China 20 912 0.8× 536 0.6× 456 2.0× 191 1.2× 148 1.1× 31 1.4k
Faye Cruz Philippines 18 1.5k 1.3× 949 1.0× 174 0.8× 254 1.6× 58 0.4× 52 1.8k
Pardeep Pall United Kingdom 11 1.5k 1.2× 1.1k 1.1× 316 1.4× 79 0.5× 68 0.5× 15 1.8k
Benoît P. Guillod Switzerland 22 1.5k 1.2× 1.0k 1.1× 320 1.4× 471 2.9× 241 1.8× 28 2.1k
Adina‐Eliza Croitoru Romania 18 741 0.6× 359 0.4× 144 0.6× 186 1.1× 152 1.1× 42 1.1k

Countries citing papers authored by Zhenyu Han

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyu Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenyu Han

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyu Han. A scholar is included among the top collaborators of Zhenyu Han 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 Zhenyu Han. Zhenyu Han 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.
Song, Jia-Ning, et al.. (2025). CMIP6 projected trend of winter and summer variation in Arctic cyclones over the 21st century. Climate Dynamics. 63(1). 1 indexed citations
2.
Shen, Pengke, Shuqing Zhao, Zhiyu Xu, et al.. (2025). Comprehensive Evidence That Detecting Urban Signals in Large‐Scale Warming Is Highly Uncertain. Geophysical Research Letters. 52(5). 1 indexed citations
3.
Xu, Ying, et al.. (2024). Evaluation and projection of the summer precipitation recycling over the Tibetan plateau based on CMIP6 GCMs. International Journal of Climatology. 44(8). 2666–2680.
4.
Zhou, Botao, et al.. (2023). CMIP6 Evaluation and Projection of Precipitation over Northern China: Further Investigation. Advances in Atmospheric Sciences. 40(4). 587–600. 16 indexed citations
5.
Lü, Bo, et al.. (2023). Rapid increase of the nighttime electricity demand in Beijing due to compound heatwaves. Urban Climate. 50. 101595–101595. 15 indexed citations
6.
Wang, Shijin, et al.. (2023). Potential impacts of climate change on the spatial distribution of Chinese ski resorts. Advances in Climate Change Research. 14(3). 420–428. 3 indexed citations
7.
Xu, Ying, et al.. (2022). Evaluation and Projection of Surface PM2.5 and Its Exposure on Population in Asia Based on the CMIP6 GCMs. International Journal of Environmental Research and Public Health. 19(19). 12092–12092. 5 indexed citations
8.
Jia, Wu, et al.. (2022). Future Projection of Solar Energy Over China Based on Multi‐Regional Climate Model Simulations. Earth and Space Science. 9(5). 17 indexed citations
9.
Han, Zhenyu, et al.. (2022). Effects of rainfall on the weekday traffic flow in major cities of the Beijing–Tianjin–Hebei region, China, in 2021. Advances in Climate Change Research. 13(6). 858–867. 9 indexed citations
10.
Huang, Jing, Ruimin Liu, Qingrui Wang, et al.. (2022). Climate factors affect N2O emissions by influencing the migration and transformation of nonpoint source nitrogen in an agricultural watershed. Water Research. 223. 119028–119028. 13 indexed citations
11.
Jia, Wu, et al.. (2021). Future changes in wind energy potential over China using RegCM4 under RCP emission scenarios. Advances in Climate Change Research. 12(4). 596–610. 27 indexed citations
12.
Xie, Wenxin, Botao Zhou, Zhenyu Han, & Ying Xu. (2021). Projected changes in heat waves over China: Ensemble result from RegCM4 downscaling simulations. International Journal of Climatology. 41(7). 3865–3880. 17 indexed citations
13.
Liao, Yaoming, Deliang Chen, Zhenyu Han, & Dapeng Huang. (2021). Downscaling of Future Precipitation in China’s Beijing-Tianjin-Hebei Region Using a Weather Generator. Atmosphere. 13(1). 22–22. 6 indexed citations
14.
Shi, Ying, Zhenyu Han, Ying Xu, & Chan Xiao. (2020). Impacts of climate change on heating and cooling degree‐hours over China. International Journal of Climatology. 41(3). 1571–1583. 9 indexed citations
16.
Zhou, Botao, Wu Jia, Ying Xu, Zhenyu Han, & Ying Shi. (2019). Projected changes in autumn rainfall over West China: Results from an ensemble of dynamical downscaling simulations. International Journal of Climatology. 39(12). 4869–4882. 14 indexed citations
17.
Zhang, Dongfeng, Zhenyu Han, & Ying Shi. (2017). Comparison of climate projections between driving CSIRO-Mk3.6.0 and downscaling simulation of RegCM4.4 over China. Advances in Climate Change Research. 8(4). 245–255. 16 indexed citations
18.
Han, Zhenyu, Botao Zhou, Ying Xu, Wu Jia, & Ying Shi. (2017). Projected changes in haze pollution potential in China: an ensemble of regional climate model simulations. Atmospheric chemistry and physics. 17(16). 10109–10123. 56 indexed citations
19.
Han, Zhenyu, Botao Zhou, Ying Xu, Wu Jia, & Ying Shi. (2017). Projected Changes in Haze Pollution Potential in China: An Ensemble of Regional Climate Model Simulations. 1 indexed citations
20.
Xin, Xiaoge, et al.. (2017). Decadal Prediction Skill of the Global Sea Surface Temperature in the BCC_CSM1.1 Climate Model. Diqiu kexue jinzhan. 32(4). 396–408. 5 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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