Xu Zhou

2.9k total citations · 1 hit paper
84 papers, 1.8k citations indexed

About

Xu Zhou is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Xu Zhou has authored 84 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Atmospheric Science, 49 papers in Global and Planetary Change and 12 papers in Environmental Engineering. Recurrent topics in Xu Zhou's work include Meteorological Phenomena and Simulations (36 papers), Climate variability and models (35 papers) and Cryospheric studies and observations (29 papers). Xu Zhou is often cited by papers focused on Meteorological Phenomena and Simulations (36 papers), Climate variability and models (35 papers) and Cryospheric studies and observations (29 papers). Xu Zhou collaborates with scholars based in China, United States and Germany. Xu Zhou's co-authors include Kun Yang, Yingying Chen, Xin Li, Yan Wang, Yaozhi Jiang, Hui Lü, Shankar Sharma, Nitesh Khadka, Huidong Li and Lin Ouyang and has published in prestigious journals such as Nature Communications, The Science of The Total Environment and Geophysical Research Letters.

In The Last Decade

Xu Zhou

79 papers receiving 1.7k citations

Hit Papers

TPHiPr: a long-term (1979–2020) high-accuracy precipitati... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xu Zhou China 23 1.3k 1.1k 330 189 103 84 1.8k
Éric Bazile France 20 1.3k 1.0× 1.1k 1.0× 358 1.1× 111 0.6× 32 0.3× 43 1.5k
Petri Räisänen Finland 28 1.8k 1.4× 1.9k 1.7× 240 0.7× 74 0.4× 127 1.2× 87 2.3k
Eduardo García‐Ortega Spain 28 1.9k 1.5× 1.8k 1.6× 355 1.1× 210 1.1× 37 0.4× 70 2.3k
K. Lagouvardos Greece 18 877 0.7× 972 0.9× 135 0.4× 102 0.5× 87 0.8× 45 1.2k
Jeffrey H. Copeland United States 5 1.2k 0.9× 1.1k 1.0× 374 1.1× 95 0.5× 145 1.4× 8 1.6k
Eric James United States 19 1.4k 1.1× 1.3k 1.2× 303 0.9× 58 0.3× 111 1.1× 55 1.8k
Reinhold Steinacker Austria 19 1.4k 1.1× 1.2k 1.0× 380 1.2× 132 0.7× 28 0.3× 50 1.7k
Frédérique Cheruy France 22 1.8k 1.4× 2.1k 1.8× 539 1.6× 247 1.3× 53 0.5× 49 2.6k
Paul Joe Canada 26 2.1k 1.6× 1.5k 1.3× 515 1.6× 197 1.0× 56 0.5× 75 2.5k
Adam K. Kochanski United States 21 753 0.6× 1.1k 0.9× 207 0.6× 83 0.4× 66 0.6× 74 1.4k

Countries citing papers authored by Xu Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xu Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Zhou. A scholar is included among the top collaborators of Xu Zhou 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 Xu Zhou. Xu Zhou 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.
Zhou, Xu, et al.. (2025). Estimating near-surface air temperature in urban functional zones in China using spatial-temporal attention. Building and Environment. 276. 112860–112860. 3 indexed citations
2.
Zhou, Xu, et al.. (2024). Effect of dry-wet alternation on the adsorption of dissolved organic matter by soil minerals. Physicochemical Problems of Mineral Processing.
3.
Yan, Bowen, Xuhong Zhou, Xiao Li, et al.. (2024). An active-controlled multi-blade facility to generate 2-D downburst-like outflows in the boundary layer wind tunnel. Journal of Wind Engineering and Industrial Aerodynamics. 248. 105713–105713. 5 indexed citations
4.
Zhou, Xu, Binbin Wang, Xiaogang Ma, Zhu La, & Kun Yang. (2024). Simulating lake ice phenology using a coupled atmosphere–lake model at Nam Co, a typical deep alpine lake on the Tibetan Plateau. ˜The œcryosphere. 18(10). 4589–4605. 2 indexed citations
5.
Liu, Jiarui, Kun Yang, Peili Wu, et al.. (2024). Cloud Radiative Feedback to the Large‐Scale Atmospheric Circulation Greatly Reduces Monsoon‐Season Wet Bias Over the Tibetan Plateau in Climate Modeling. Geophysical Research Letters. 51(14). 3 indexed citations
6.
Zhou, Xu, et al.. (2023). Managing fairness and consensus based on individual consciousness of preventing manipulation. Information Fusion. 102. 102047–102047. 12 indexed citations
7.
Huang, Anning, et al.. (2023). Impact of Sub‐Grid Turbulent Orographic Form Drag on the Summer Monsoon Precipitation Simulation Over China. Journal of Geophysical Research Atmospheres. 128(20). 1 indexed citations
8.
Zhou, Xu, et al.. (2023). Expression Recognition Based on Multi-Regional Coordinate Attention Residuals. IEEE Access. 11. 63863–63873. 7 indexed citations
9.
10.
Zhou, Xu, Baohong Ding, Kun Yang, et al.. (2023). Reducing the Cold Bias of the WRF Model Over the Tibetan Plateau by Implementing a Snow Coverage‐Topography Relationship and a Fresh Snow Albedo Scheme. Journal of Advances in Modeling Earth Systems. 15(9). 14 indexed citations
11.
Yang, Kun, Xu Zhou, Yan Wang, et al.. (2023). Observation and Process Understanding of Typical Cloud Holes Above Lakes Over the Tibetan Plateau. Journal of Geophysical Research Atmospheres. 128(13). 5 indexed citations
12.
Li, Huidong, et al.. (2022). Improving the WRF/urban modeling system in China by developing a national urban dataset. Geoscience Frontiers. 13(4). 101385–101385. 21 indexed citations
13.
Ma, Xiaogang, Kun Yang, Zhu La, et al.. (2022). Importance of Parameterizing Lake Surface and Internal Thermal Processes in WRF for Simulating Freeze Onset of an Alpine Deep Lake. Journal of Geophysical Research Atmospheres. 127(18). 15 indexed citations
14.
Ouyang, Lin, Hui Lü, Kun Yang, et al.. (2021). Characterizing Uncertainties in Ground “Truth” of Precipitation Over Complex Terrain Through High‐Resolution Numerical Modeling. Geophysical Research Letters. 48(10). 27 indexed citations
15.
Yue, Siyu, Kun Yang, Hui Lü, et al.. (2021). Representation of Stony Surface‐Atmosphere Interactions in WRF Reduces Cold and Wet Biases for the Southern Tibetan Plateau. Journal of Geophysical Research Atmospheres. 126(21). 23 indexed citations
16.
Huang, Bo, Xiangping Hu, Geir‐Arne Fuglstad, et al.. (2020). Predominant regional biophysical cooling from recent land cover changes in Europe. Nature Communications. 11(1). 1066–1066. 71 indexed citations
17.
Ouyang, Lin, Kun Yang, Hui Lü, et al.. (2020). Ground‐Based Observations Reveal Unique Valley Precipitation Patterns in the Central Himalaya. Journal of Geophysical Research Atmospheres. 125(5). 34 indexed citations
18.
Wang, Yan, Kun Yang, Xu Zhou, et al.. (2019). The Formation of a Dry‐Belt in the North Side of Central Himalaya Mountains. Geophysical Research Letters. 46(5). 2993–3000. 15 indexed citations
19.
Matthes, Heidrun, Annette Rinke, Xu Zhou, & Klaus Dethloff. (2017). Uncertainties in coupled regional Arctic climate simulations associated with the used land surface model. Journal of Geophysical Research Atmospheres. 122(15). 7755–7771. 10 indexed citations
20.
Zhou, Xu, et al.. (2006). Culicoides(Sinocoides) and A New Species from China (Diptera:Ceratopogonidae). Zhongguo meijie shengwuxue ji kongzhi zazhi. 17(6). 467–469. 1 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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