Yating Ru

463 total citations · 1 hit paper
9 papers, 272 citations indexed

About

Yating Ru is a scholar working on Global and Planetary Change, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Yating Ru has authored 9 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Global and Planetary Change, 3 papers in Ecology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Yating Ru's work include Land Use and Ecosystem Services (7 papers), Climate change impacts on agriculture (2 papers) and Remote Sensing in Agriculture (2 papers). Yating Ru is often cited by papers focused on Land Use and Ecosystem Services (7 papers), Climate change impacts on agriculture (2 papers) and Remote Sensing in Agriculture (2 papers). Yating Ru collaborates with scholars based in United States, China and Austria. Yating Ru's co-authors include Miao Lu, Wenbin Wu, Liangzhi You, Ulrike Wood‐Sichra, Alison B. Joglekar, Steffen Fritz, Peng Yang, Wei Xiong, Qiangyi Yu and Brian Blankespoor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Yating Ru

8 papers receiving 257 citations

Hit Papers

A cultivated planet in 2010 – Part 2: The global gridded ... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yating Ru United States 6 108 95 84 62 34 9 272
Alison B. Joglekar United States 4 86 0.8× 77 0.8× 83 1.0× 76 1.2× 36 1.1× 6 267
Peter Backlund United States 3 105 1.0× 64 0.7× 84 1.0× 64 1.0× 52 1.5× 4 305
Vahid Karimi Iran 6 75 0.7× 64 0.7× 144 1.7× 70 1.1× 64 1.9× 16 378
Kerstin Engström Sweden 5 160 1.5× 157 1.7× 53 0.6× 45 0.7× 32 0.9× 6 382
Brilliant Mareme Petja South Africa 11 174 1.6× 44 0.5× 124 1.5× 68 1.1× 58 1.7× 35 391
Fausto Miziara Brazil 9 149 1.4× 107 1.1× 29 0.3× 38 0.6× 57 1.7× 29 330
Boris Boincean Spain 12 196 1.8× 48 0.5× 84 1.0× 73 1.2× 112 3.3× 26 418
Michael Brady United States 10 81 0.8× 43 0.5× 34 0.4× 57 0.9× 23 0.7× 34 306
Leonardo Amaral Monteiro Brazil 10 83 0.8× 63 0.7× 47 0.6× 145 2.3× 85 2.5× 22 334

Countries citing papers authored by Yating Ru

Since Specialization
Citations

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

Fields of papers citing papers by Yating Ru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yating Ru

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

All Works

9 of 9 papers shown
1.
Ru, Yating, et al.. (2025). Microlevel structural poverty estimates for southern and eastern Africa. Proceedings of the National Academy of Sciences. 122(6). e2410350122–e2410350122.
2.
Ru, Yating, et al.. (2023). Estimating local agricultural gross domestic product (AgGDP) across the world. Earth system science data. 15(3). 1357–1387. 12 indexed citations
3.
Ru, Yating, Beliyou Haile, & John I. Carruthers. (2022). Urbanization and child growth failure in Sub-Saharan Africa: a geographical analysis. Journal of Geographical Systems. 24(3). 441–473. 2 indexed citations
4.
Blankespoor, Brian, et al.. (2022). Estimating Local Agricultural GDP across the World. World Bank policy research working paper. 3 indexed citations
5.
Yu, Qiangyi, Liangzhi You, Ulrike Wood‐Sichra, et al.. (2020). A cultivated planet in 2010 – Part 2: The global gridded agricultural-production maps. Earth system science data. 12(4). 3545–3572. 207 indexed citations breakdown →
6.
Lu, Miao, et al.. (2020). Multiple factors influence the consistency of cropland datasets in Africa. International Journal of Applied Earth Observation and Geoinformation. 89. 102087–102087. 26 indexed citations
7.
Chen, Di, Miao Lu, Qingbo Zhou, et al.. (2019). Comparison of Two Synergy Approaches for Hybrid Cropland Mapping. Remote Sensing. 11(3). 213–213. 8 indexed citations
8.
Thomas, Timothy S., et al.. (2019). Generating Gridded Agricultural Gross Domestic Product for Brazil: A Comparison of Methodologies. World Bank, Washington, DC eBooks. 8 indexed citations
9.
Orr, Alastair, Cindy M. Cox, Yating Ru, & Jacqueline A. Ashby. (2018). Gender and social targeting in plant breeding. IFPRI E-brary (International Food Policy Research Institute). 6 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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