Xiaorui Niu

1.0k total citations
26 papers, 743 citations indexed

About

Xiaorui Niu is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Xiaorui Niu has authored 26 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 3 papers in Environmental Engineering. Recurrent topics in Xiaorui Niu's work include Climate variability and models (23 papers), Meteorological Phenomena and Simulations (21 papers) and Cryospheric studies and observations (11 papers). Xiaorui Niu is often cited by papers focused on Climate variability and models (23 papers), Meteorological Phenomena and Simulations (21 papers) and Cryospheric studies and observations (11 papers). Xiaorui Niu collaborates with scholars based in China, United States and Australia. Xiaorui Niu's co-authors include Jianping Tang, Shuyu Wang, Xueyuan Wang, Congbin Fu, Jian Wu, Gao Hong-xia, Pinhong Hui, Deliang Chen, Shuyu Wang and Dong‐Kyou Lee and has published in prestigious journals such as The Science of The Total Environment, Journal of Climate and Atmospheric chemistry and physics.

In The Last Decade

Xiaorui Niu

24 papers receiving 731 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaorui Niu China 17 647 594 72 54 49 26 743
Silje Lund Sørland Switzerland 12 521 0.8× 416 0.7× 50 0.7× 28 0.5× 51 1.0× 24 632
Dominik L. Schumacher Switzerland 10 576 0.9× 344 0.6× 76 1.1× 60 1.1× 57 1.2× 22 703
Gerd Schädler Germany 14 520 0.8× 447 0.8× 77 1.1× 37 0.7× 44 0.9× 43 646
P. Maharana India 16 555 0.9× 471 0.8× 93 1.3× 35 0.6× 84 1.7× 48 710
Vincent O. Ajayi Nigeria 14 630 1.0× 410 0.7× 88 1.2× 32 0.6× 129 2.6× 28 730
Barış Önol Türkiye 12 544 0.8× 369 0.6× 102 1.4× 36 0.7× 70 1.4× 23 670
Gohar Ali Pakistan 15 624 1.0× 449 0.8× 119 1.7× 67 1.2× 85 1.7× 26 742
Moctar Camara Senegal 12 499 0.8× 364 0.6× 64 0.9× 27 0.5× 102 2.1× 41 591
X. Bi Italy 13 974 1.5× 862 1.5× 88 1.2× 33 0.6× 91 1.9× 16 1.1k
Laura Suárez‐Gutiérrez Germany 12 470 0.7× 316 0.5× 32 0.4× 85 1.6× 67 1.4× 28 585

Countries citing papers authored by Xiaorui Niu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaorui Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaorui Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaorui Niu. A scholar is included among the top collaborators of Xiaorui Niu 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 Xiaorui Niu. Xiaorui Niu 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.
Yan, Yingying, et al.. (2024). Improving ozone estimation during rainy-warm seasons from the perspective of weather systems based on machine learning. The Science of The Total Environment. 958. 177975–177975.
2.
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4.
Wu, Rongchang, et al.. (2024). Future Projection and Uncertainty Analysis of Wind and Solar Energy in China Based on an Ensemble of CORDEX‐EA‐II Regional Climate Simulations. Journal of Geophysical Research Atmospheres. 129(6). 4 indexed citations
5.
Li, Ping, et al.. (2023). Assessment of climate simulation over the Tibetan Plateau based on high-resolution multi-RCM within CORDEX-EA-II. Atmospheric Research. 292. 106848–106848. 7 indexed citations
6.
Niu, Xiaorui, Jianping Tang, Deliang Chen, et al.. (2021). The performance of CORDEX-EA-II simulations in simulating seasonal temperature and elevation-dependent warming over the Tibetan Plateau. Climate Dynamics. 57(3-4). 1135–1153. 26 indexed citations
7.
Yan, Yan, Jianping Tang, Shuyu Wang, Xiaorui Niu, & Le Wang. (2021). Uncertainty of land surface model and land use data on WRF model simulations over China. Climate Dynamics. 57(7-8). 1833–1851. 17 indexed citations
8.
Niu, Xiaorui, Jianping Tang, Shuyu Wang, Congbin Fu, & Deliang Chen. (2019). On the sensitivity of seasonal and diurnal precipitation to cumulus parameterization over CORDEX-EA-II. Climate Dynamics. 54(1-2). 373–393. 18 indexed citations
9.
Wang, Shuyu, et al.. (2019). Evaluation of the effects of a multiphysics ensemble on the simulation of an extremely hot summer in 2003 over the CORDEX‐EA‐II region. International Journal of Climatology. 39(8). 3413–3430. 16 indexed citations
10.
Wang, Shuyu, et al.. (2019). Impact of Nudging Parameters on Dynamical Downscaling over CORDEX East Asia Phase II Domain: The Case of Summer 2003. Journal of Applied Meteorology and Climatology. 58(12). 2755–2771. 3 indexed citations
11.
Niu, Xiaorui, et al.. (2018). Impact of future land use and land cover change on temperature projections over East Asia. Climate Dynamics. 52(11). 6475–6490. 25 indexed citations
12.
Hui, Pinhong, et al.. (2018). Climate change projections over China using regional climate models forced by two CMIP5 global models. Part II: projections of future climate. International Journal of Climatology. 38(S1). 46 indexed citations
13.
Huang, Xin, Aijun Ding, Lixia Liu, et al.. (2016). Effects of aerosol–radiation interaction on precipitation duringbiomass-burning season in East China. Atmospheric chemistry and physics. 16(15). 10063–10082. 113 indexed citations
14.
Wang, Xueyuan, et al.. (2016). An assessment of precipitation and surface air temperature over China by regional climate models. Frontiers of Earth Science. 10(4). 644–661. 3 indexed citations
15.
Tang, Jianping, et al.. (2016). Impact of spectral nudging on regional climate simulation over CORDEX East Asia using WRF. Climate Dynamics. 48(7-8). 2339–2357. 57 indexed citations
16.
Tang, Jianping, Qian Li, Shuyu Wang, et al.. (2016). Building Asian climate change scenario by multi-regional climate models ensemble. Part I: surface air temperature. International Journal of Climatology. 36(13). 4241–4252. 26 indexed citations
17.
Tang, Jianping, et al.. (2016). Evaluation of regional climate simulations over the CORDEX-EA-II domain using the COSMO-CLM model. Asia-Pacific Journal of Atmospheric Sciences. 52(2). 107–127. 31 indexed citations
18.
Hui, Pinhong, et al.. (2015). Impact of resolution on regional climate modeling in the source region of Yellow River with complex terrain using RegCM3. Theoretical and Applied Climatology. 125(1-2). 365–380. 6 indexed citations
19.
Niu, Xiaorui, Jianping Tang, Dong‐Kyou Lee, et al.. (2015). Multimodel ensemble projection of precipitation in eastern China under A1B emission scenario. Journal of Geophysical Research Atmospheres. 120(19). 9965–9980. 35 indexed citations
20.
Niu, Xiaorui, Shuyu Wang, Jianping Tang, et al.. (2015). Projection of Indian summer monsoon climate in 2041–2060 by multiregional and global climate models. Journal of Geophysical Research Atmospheres. 120(5). 1776–1793. 27 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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