Shao Xiao-mei

707 total citations
14 papers, 514 citations indexed

About

Shao Xiao-mei is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Shao Xiao-mei has authored 14 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 7 papers in Atmospheric Science and 6 papers in Water Science and Technology. Recurrent topics in Shao Xiao-mei's work include Remote Sensing and Land Use (7 papers), Environmental Changes in China (6 papers) and Environmental and Agricultural Sciences (5 papers). Shao Xiao-mei is often cited by papers focused on Remote Sensing and Land Use (7 papers), Environmental Changes in China (6 papers) and Environmental and Agricultural Sciences (5 papers). Shao Xiao-mei collaborates with scholars based in China, Malaysia and Hong Kong. Shao Xiao-mei's co-authors include Jing Wang, Yongqi Chen, Yanyu Zhang, Yingui Cao, Yunlong Cai, Xiangbin Kong, Jian Peng, Yueqing Xu, Hongye Zhang and Xiaofeng Li and has published in prestigious journals such as Land Use Policy, Environmental Monitoring and Assessment and Complementary Therapies in Medicine.

In The Last Decade

Shao Xiao-mei

12 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shao Xiao-mei China 6 293 172 112 103 88 14 514
Ligang Lv China 12 255 0.9× 139 0.8× 81 0.7× 61 0.6× 85 1.0× 32 555
Yuntai Zhao China 11 448 1.5× 85 0.5× 100 0.9× 103 1.0× 63 0.7× 18 623
Yuewei Duan China 8 393 1.3× 83 0.5× 122 1.1× 92 0.9× 100 1.1× 8 544
Liyan Yang China 14 260 0.9× 79 0.5× 75 0.7× 64 0.6× 56 0.6× 24 525
Pei Xu China 12 279 1.0× 97 0.6× 89 0.8× 73 0.7× 42 0.5× 35 509
Gerardo van Halsema Netherlands 15 252 0.9× 144 0.8× 120 1.1× 188 1.8× 50 0.6× 28 696
Carles Sanchís Ibor Spain 15 193 0.7× 206 1.2× 139 1.2× 234 2.3× 55 0.6× 60 641
Zhenlan Jiang China 5 586 2.0× 54 0.3× 159 1.4× 55 0.5× 89 1.0× 7 708

Countries citing papers authored by Shao Xiao-mei

Since Specialization
Citations

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

Fields of papers citing papers by Shao Xiao-mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shao Xiao-mei

This figure shows the co-authorship network connecting the top 25 collaborators of Shao Xiao-mei. A scholar is included among the top collaborators of Shao Xiao-mei 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 Shao Xiao-mei. Shao Xiao-mei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Li, Peiqi, et al.. (2024). Acupuncture for functional dyspepsia: Bayesian meta-analysis. Complementary Therapies in Medicine. 82. 103051–103051. 4 indexed citations
3.
Xiao-mei, Shao. (2011). Improving the Quality of Cultivated Land is More Important for Food Security. Zhongguo tudi kexue. 2 indexed citations
4.
Xiao-mei, Shao. (2011). Rethinking the Current Land Use Strategies of Solving the Conflicts between Land Supply and Demand in China. Zhongguo tudi kexue. 3 indexed citations
5.
Wang, Jing, Yongqi Chen, Shao Xiao-mei, Yanyu Zhang, & Yingui Cao. (2011). Land-use changes and policy dimension driving forces in China: Present, trend and future. Land Use Policy. 29(4). 737–749. 320 indexed citations
6.
Xiao-mei, Shao. (2008). Methodologies of Intensive Land Use Research: Issues and Trend. 7 indexed citations
7.
Xu, Yueqing, Shao Xiao-mei, Xiangbin Kong, Jian Peng, & Yunlong Cai. (2007). Adapting the RUSLE and GIS to model soil erosion risk in a mountains karst watershed, Guizhou Province, China. Environmental Monitoring and Assessment. 141(1-3). 275–286. 133 indexed citations
8.
Xiao-mei, Shao. (2007). Distribution and Evaluation of Soil Heavy Metal in Green Food Producing Area.
9.
Xiao-mei, Shao. (2006). Wavelet Analysis of Rainfall Variation in the Yellow River Basin. Beijing Daxue xuebao. Ziran kexue ban. 16 indexed citations
10.
Xiao-mei, Shao, et al.. (2006). Spatial and Temporal Structure of Precipitation in the Yellow River Basin Based on Kriging Method. Zhongguo nongye qixiang. 9 indexed citations
11.
Zhang, Hongye, Xiaofeng Li, & Shao Xiao-mei. (2006). Impacts of China's Rural Land Policy and Administration on Rural Economy and Grain Production. Review of Policy Research. 23(2). 607–624. 16 indexed citations
12.
Xiao-mei, Shao. (2005). Survey and estimation of current agricultural land productivity based on large scale soil mapping unit: taking northwestern Shandong as a case. Geographical Research. 1 indexed citations
13.
Xiao-mei, Shao. (2001). RESEARCH ON HAZARD INDUCING ENVIRONMENT WHICH CAUSED DROUGHT-FLOOD DISASTERS IN HEBEI PROVINCE. 2 indexed citations
14.
Xiao-mei, Shao, et al.. (2001). On arable land changes in Shandong Province and their driving forces. Journal of Geographical Sciences. 11(3). 329–335.

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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