Rihan Wu

543 total citations
22 papers, 323 citations indexed

About

Rihan Wu is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Rihan Wu has authored 22 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Global and Planetary Change, 12 papers in Ecology and 6 papers in Atmospheric Science. Recurrent topics in Rihan Wu's work include Remote Sensing in Agriculture (11 papers), Plant Water Relations and Carbon Dynamics (10 papers) and Fire effects on ecosystems (6 papers). Rihan Wu is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Plant Water Relations and Carbon Dynamics (10 papers) and Fire effects on ecosystems (6 papers). Rihan Wu collaborates with scholars based in China, Mongolia and Australia. Rihan Wu's co-authors include Xiaoyi Guo, Jianjun Zhao, Hongyan Zhang, Hong Ying, Zhengxiang Zhang, Hongyan Zhang, Qixin Li, Shuling Wang, Guozheng Hu and Qingzhu Gao and has published in prestigious journals such as The Science of The Total Environment, Journal of Environmental Management and Journal of Applied Ecology.

In The Last Decade

Rihan Wu

20 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rihan Wu China 11 238 171 90 53 48 22 323
Hong Ying China 12 271 1.1× 187 1.1× 108 1.2× 67 1.3× 49 1.0× 22 354
Yecheng Yuan China 12 223 0.9× 172 1.0× 129 1.4× 74 1.4× 56 1.2× 27 381
Zhendong Wu Sweden 9 293 1.2× 132 0.8× 105 1.2× 44 0.8× 28 0.6× 10 371
Wenmin Zhang Denmark 10 249 1.0× 154 0.9× 75 0.8× 76 1.4× 31 0.6× 19 347
Huaizhang Sun China 9 251 1.1× 109 0.6× 86 1.0× 75 1.4× 24 0.5× 16 307
Julia C. Yang United States 6 245 1.0× 206 1.2× 61 0.7× 89 1.7× 60 1.3× 9 370
Ken Ferschweiler United States 7 317 1.3× 132 0.8× 59 0.7× 24 0.5× 40 0.8× 9 387
Jiali Xie China 10 224 0.9× 145 0.8× 84 0.9× 47 0.9× 14 0.3× 15 333
Adrianna Foster United States 11 229 1.0× 116 0.7× 117 1.3× 36 0.7× 31 0.6× 20 348

Countries citing papers authored by Rihan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Rihan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rihan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Rihan Wu. A scholar is included among the top collaborators of Rihan Wu 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 Rihan Wu. Rihan Wu 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.
Wu, Renguang, et al.. (2025). A Generalized Spatiotemporally Weighted Boosted Regression to Predict the Occurrence of Grassland Fires in the Mongolian Plateau. Remote Sensing. 17(9). 1485–1485. 2 indexed citations
2.
3.
Ganjurjav, Hasbagan, Mingjie Li, Ling Han, et al.. (2024). Reseeding increased plant biomass production and soil fertility, but not plant species diversity in degraded grasslands in China. Journal of Environmental Management. 370. 122966–122966. 5 indexed citations
4.
Huang, Lidong, Fen Zhao, Guozheng Hu, et al.. (2024). Evaluation of Machine Learning Models for Estimating Grassland Pasture Yield Using Landsat-8 Imagery. Agronomy. 14(12). 2984–2984. 1 indexed citations
5.
Ying, Hong, et al.. (2024). Aboveground Carbon Stock Estimation Based on Backpack LiDAR and UAV Multispectral Imagery at the Forest Sample Plot Scale. Remote Sensing. 16(21). 3927–3927. 4 indexed citations
6.
Wu, Rihan, Guozheng Hu, Hasbagan Ganjurjav, & Qingzhu Gao. (2023). Sensitivity of Grassland Coverage to Climate across Environmental Gradients on the Qinghai-Tibet Plateau. Remote Sensing. 15(12). 3187–3187. 12 indexed citations
7.
Zhang, Hongyan, et al.. (2023). Increased atmospheric moisture demand induced a reduction in the water content of boreal forest during the past three decades. Agricultural and Forest Meteorology. 342. 109759–109759. 5 indexed citations
8.
9.
Wu, Rihan, Jianjun Zhao, Hongyan Zhang, & Xiaoyi Guo. (2022). Preseason drought controls on patterns of spring phenology in grasslands of the Mongolian Plateau. The Science of The Total Environment. 838(Pt 2). 156018–156018. 28 indexed citations
10.
Zhang, Hongyan, et al.. (2022). Diverse variations in middle and high latitudes of the Northern Hemisphere spring phenology sensitivity to diurnal temperature during 1982–2015. International Journal of Climatology. 42(16). 9385–9403. 4 indexed citations
11.
Zhang, Hongyan, Qixin Li, Jianjun Zhao, et al.. (2021). Vegetation Productivity Dynamics in Response to Climate Change and Human Activities under Different Topography and Land Cover in Northeast China. Remote Sensing. 13(5). 975–975. 47 indexed citations
12.
Li, Hui, Ying‐yi Hong, Rihan Wu, et al.. (2021). Impacts of climate change and human activities on net primary productivity of grasslands in Inner Mongolia, China during 1982-2015.. Journal of Applied Ecology. 32(2). 415–424. 3 indexed citations
13.
Zhang, Hongyan, et al.. (2021). Shifting Contribution of Climatic Constraints on Evapotranspiration in the Boreal Forest. Earth s Future. 9(8). 16 indexed citations
14.
Wu, Rihan, Hongyan Zhang, Jianjun Zhao, et al.. (2021). Promote the advance of the start of the growing season from combined effects of climate change and wildfire. Ecological Indicators. 125. 107483–107483. 11 indexed citations
15.
Zhang, Hongyan, et al.. (2020). Estimating Frost during Growing Season and Its Impact on the Velocity of Vegetation Greenup and Withering in Northeast China. Remote Sensing. 12(9). 1355–1355. 16 indexed citations
16.
Ying, Hong, Hongyan Zhang, Ying Sun, et al.. (2020). CMIP5-Based Spatiotemporal Changes of Extreme Temperature Events during 2021–2100 in Mainland China. Sustainability. 12(11). 4418–4418. 4 indexed citations
17.
Zhang, Hongyan, et al.. (2019). Asymmetric Effects of Daytime and Nighttime Warming on Boreal Forest Spring Phenology. Remote Sensing. 11(14). 1651–1651. 20 indexed citations
18.
Ying, Hong, Hongyan Zhang, Jianjun Zhao, et al.. (2019). Effects of spring and summer extreme climate events on the autumn phenology of different vegetation types of Inner Mongolia, China, from 1982 to 2015. Ecological Indicators. 111. 105974–105974. 69 indexed citations
19.
Wu, Rihan, et al.. (2019). Wildfires on the Mongolian Plateau: Identifying Drivers and Spatial Distributions to Predict Wildfire Probability. Remote Sensing. 11(20). 2361–2361. 25 indexed citations
20.
Ying, Hong, et al.. (2019). The Effect of Snow Depth on Spring Wildfires on the Hulunbuir from 2001–2018 Based on MODIS. Remote Sensing. 11(3). 321–321. 20 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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