Rui Shao

630 total citations
21 papers, 461 citations indexed

About

Rui Shao is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Rui Shao has authored 21 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 12 papers in Water Science and Technology and 4 papers in Atmospheric Science. Recurrent topics in Rui Shao's work include Plant Water Relations and Carbon Dynamics (14 papers), Hydrology and Watershed Management Studies (12 papers) and Climate variability and models (4 papers). Rui Shao is often cited by papers focused on Plant Water Relations and Carbon Dynamics (14 papers), Hydrology and Watershed Management Studies (12 papers) and Climate variability and models (4 papers). Rui Shao collaborates with scholars based in China, United States and Singapore. Rui Shao's co-authors include Baoqing Zhang, Biao Long, Wenjing Yang, Yayong Xue, Chansheng He, Linyin Cheng, Baoqing Zhang, Yao Li, Xuejin Wang and Xiaogang He and has published in prestigious journals such as The Science of The Total Environment, Water Resources Research and Journal of Hydrology.

In The Last Decade

Rui Shao

19 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rui Shao China 12 374 253 89 84 65 21 461
Weibin Zhang China 11 318 0.9× 243 1.0× 130 1.5× 75 0.9× 68 1.0× 17 459
Yanyun Nian China 8 272 0.7× 235 0.9× 80 0.9× 127 1.5× 80 1.2× 17 461
Bowen Zhu China 13 337 0.9× 227 0.9× 55 0.6× 124 1.5× 113 1.7× 21 462
Anne J. Hoek van Dijke Netherlands 8 452 1.2× 269 1.1× 95 1.1× 141 1.7× 79 1.2× 15 576
S. Boubkraoui France 9 307 0.8× 192 0.8× 57 0.6× 100 1.2× 129 2.0× 10 448
Ryan S. Padrón Switzerland 8 383 1.0× 248 1.0× 40 0.4× 144 1.7× 72 1.1× 15 518
Okechukwu Amogu France 7 372 1.0× 291 1.2× 46 0.5× 41 0.5× 79 1.2× 8 494
Jinkai Luan China 9 268 0.7× 248 1.0× 62 0.7× 74 0.9× 72 1.1× 24 403
Alfredo Ribeiro Neto Brazil 12 272 0.7× 265 1.0× 74 0.8× 72 0.9× 113 1.7× 47 480
Jinyi Fu China 10 232 0.6× 154 0.6× 81 0.9× 112 1.3× 56 0.9× 14 373

Countries citing papers authored by Rui Shao

Since Specialization
Citations

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

Fields of papers citing papers by Rui Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Shao. A scholar is included among the top collaborators of Rui Shao 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 Rui Shao. Rui Shao 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.
Shao, Rui & Chao Fan. (2025). Modeling stakeholder interactions for post-disaster electric power restoration: A multi-agent and game-theoretic approach. Energy Research & Social Science. 127. 104307–104307.
2.
3.
Li, Yao, Baoqing Zhang, Rui Shao, et al.. (2023). Estimating the maximum vegetation coverage and productivity capacity supported by rainwater resources on the Loess Plateau. Journal of Hydrology. 619. 129346–129346. 14 indexed citations
4.
Shao, Rui, et al.. (2023). Inferring the influence of urban vegetation on urban water storage capacity from evapotranspiration recession. Journal of Hydrology. 620. 129355–129355. 1 indexed citations
5.
6.
Shao, Rui, Weiwei Shao, Chunjie Gu, & Baoqing Zhang. (2022). Increased Interception Induced by Vegetation Restoration Counters Ecosystem Carbon and Water Exchange Efficiency in China. Earth s Future. 10(2). 10 indexed citations
7.
Shao, Rui, Yicheng Wang, Weiwei Shao, & Guangheng Ni. (2022). Assessing the synergistic modulation of evapotranspiration by global impervious surface and vegetation changes. Agricultural and Forest Meteorology. 327. 109194–109194. 11 indexed citations
8.
Shao, Rui, Baoqing Zhang, Xiaogang He, et al.. (2021). Historical Water Storage Changes Over China's Loess Plateau. Water Resources Research. 57(3). 49 indexed citations
9.
Wang, Xuejin, Baoqing Zhang, Feng Li, et al.. (2021). Vegetation restoration projects intensify intraregional water recycling processes in the agro-pastoral ecotone of Northern China. Journal of Hydrometeorology. 22 indexed citations
10.
Zhang, Baoqing, Rui Shao, Xining Zhao, & Pute Wu. (2020). Effects of Large-scale Vegetation Restoration on Eco-hydrological Processes Over the Loess Plateau, China. Lanzhou University Institutional Repository. 11 indexed citations
11.
Zhang, Baoqing, Xiaogang He, Rui Shao, et al.. (2020). Rational Planning of Land Use Can Maintain Water Yield Without Damaging Ecological Stability in Upstream of Inland River: Case Study in the Hei River Basin of China. Journal of Geophysical Research Atmospheres. 125(18). 14 indexed citations
12.
Lan, Xin, Yao Li, Rui Shao, et al.. (2020). Vegetation controls on surface energy partitioning and water budget over China. Journal of Hydrology. 600. 125646–125646. 28 indexed citations
13.
Yang, Wenjing, Yibo Wang, Xin Liu, et al.. (2020). Estimating the evaporation in the Fenghuo Mountains permafrost region of the Tibetan Plateau. CATENA. 194. 104754–104754. 11 indexed citations
14.
Yang, Wenjing, Yibo Wang, Xin Liu, et al.. (2019). Evaluation of the rescaled complementary principle in the estimation of evaporation on the Tibetan Plateau. The Science of The Total Environment. 699. 134367–134367. 28 indexed citations
15.
Shao, Rui, Baoqing Zhang, Biao Long, et al.. (2019). Estimating the Increase in Regional Evaporative Water Consumption as a Result of Vegetation Restoration Over the Loess Plateau, China. Journal of Geophysical Research Atmospheres. 124(22). 11783–11802. 152 indexed citations
16.
Long, Biao, Baoqing Zhang, Chansheng He, Rui Shao, & Wei Tian. (2018). Is There a Change From a Warm‐Dry to a Warm‐Wet Climate in the Inland River Area of China? Interpretation and Analysis Through Surface Water Balance. Journal of Geophysical Research Atmospheres. 123(14). 7114–7131. 25 indexed citations
17.
Liu, Lixiang, Ming Xu, Renqiang Li, & Rui Shao. (2017). Timescale dependence of environmental controls on methane efflux from Poyang Hu, China. Biogeosciences. 14(8). 2019–2032. 16 indexed citations
18.
Xu, Xiaoliang, et al.. (2012). Natural Heritage value of Xinjiang Tianshan and global comparative analysis. Journal of Mountain Science. 9(2). 262–273. 13 indexed citations
19.
Yang, Zhaoping, et al.. (2010). Natural heritage values and comparative analyses of Kanas, China. Journal of Arid Land. 2(3). 197–206. 8 indexed citations
20.
Shao, Rui, et al.. (2008). Determination of Gas Well Deliverability in Volcanic Gas Reservoir Using Transient Testing Data. SPE Asia Pacific Oil and Gas Conference and Exhibition. 4 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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