Rihan Wu

587 citations
22 papers · 339 · h-index 11

Impact in

    • Plant Water Relations and Carbon Dynamics
    • Land Use and Ecosystem Services
    • Climate variability and models
    • Fire effects on ecosystems
    • Species Distribution and Climate Change

Papers in

    • Plant Water Relations and Carbon Dynamics 10
    • Fire effects on ecosystems 6
    • Climate variability and models 4
    • Remote Sensing in Agriculture 11

Rihan Wu

21 papers receiving 338 citations

Peers

Rihan Wu
Comparison fields: 5 of 49
  • Global and Planetary Change 245
  • Ecological Modeling 48
  • Ecology 176
  • Atmospheric Science 94
  • Environmental Engineering 55
Replace Hong Ying with:
Hong Ying China
Yecheng Yuan China
Julia C. Yang United States
Wenmin Zhang Denmark
Hannes Müller Germany
Huaizhang Sun China
Zhendong Wu Sweden
Leon T. Hauser Netherlands
Shengli Huang United States
Mingzhu Xu China
Rihan Wu relative to Hong Ying China Hong Ying's profile →
Citations per field
00.5×1.5×
Hong Ying · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Rihan Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rihan Wu Line = papers co-authored together Rihan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201973
2 202151
3 202230
4 201926
5 202224
6 201921
7 201920
8 202117
9 202016
10 202312
11 202111
12 20238
13 20245
14 20235
15 20205
16 20224
17 20244
18 20213
19 20252
20 20241

About Rihan Wu

Rihan Wu is a scholar working on Global and Planetary Change, Ecology, Atmospheric Science, Management, Monitoring, Policy and Law and Nature and Landscape Conservation, having authored 22 papers that have together received 339 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (11 papers), Plant Water Relations and Carbon Dynamics (10 papers), Fire effects on ecosystems (6 papers), Climate variability and models (4 papers), Species Distribution and Climate Change (3 papers), Ecology and Vegetation Dynamics Studies (3 papers), Cryospheric studies and observations (3 papers) and Rangeland Management and Livestock Ecology (3 papers). The work is most often cited by research in Global and Planetary Change (245 citations), Ecological Modeling (48 citations), Ecology (176 citations), Atmospheric Science (94 citations) and Environmental Engineering (55 citations). Rihan Wu has collaborated with scholars based in China, Mongolia and Germany. Frequent co-authors include Xiaoyi Guo, Jianjun Zhao, Hongyan Zhang, Hong Ying, Zhengxiang Zhang, Shuling Wang, Qixin Li, Guozheng Hu, Qingzhu Gao and Hasbagan Ganjurjav. Their work appears in journals such as Remote Sensing, Ecological Indicators, Sustainability, Journal of Environmental Management and The Science of The Total Environment.

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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