Shen Yuan

2.0k total citations · 1 hit paper
53 papers, 1.3k citations indexed

About

Shen Yuan is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Shen Yuan has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 19 papers in Ecology, Evolution, Behavior and Systematics and 14 papers in Agronomy and Crop Science. Recurrent topics in Shen Yuan's work include Rice Cultivation and Yield Improvement (32 papers), Crop Yield and Soil Fertility (14 papers) and GABA and Rice Research (11 papers). Shen Yuan is often cited by papers focused on Rice Cultivation and Yield Improvement (32 papers), Crop Yield and Soil Fertility (14 papers) and GABA and Rice Research (11 papers). Shen Yuan collaborates with scholars based in China, United States and Philippines. Shen Yuan's co-authors include Shaobing Peng, Jianliang Huang, Le Xu, Patricio Grassini, Kenneth G. Cassman, Tao Li, Xing Yu, Fei Wang, Jianguo Man and Liying Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Shen Yuan

50 papers receiving 1.3k citations

Hit Papers

Sustainable intensification for a larger global rice bowl 2021 2026 2022 2024 2021 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
Shen Yuan China 21 913 344 302 256 249 53 1.3k
Dustin L. Harrell United States 20 851 0.9× 172 0.5× 239 0.8× 221 0.9× 338 1.4× 63 1.3k
B. P. Bhatt India 23 824 0.9× 213 0.6× 175 0.6× 260 1.0× 502 2.0× 88 1.5k
Alexandre Bryan Heinemann Brazil 22 1.1k 1.2× 379 1.1× 181 0.6× 364 1.4× 501 2.0× 106 1.7k
Surajit Mondal India 20 573 0.6× 152 0.4× 237 0.8× 278 1.1× 701 2.8× 88 1.3k
Sudhir Yadav Philippines 23 1.1k 1.2× 357 1.0× 98 0.3× 209 0.8× 650 2.6× 66 1.6k
Xuhua Zhong China 17 1.6k 1.7× 432 1.3× 126 0.4× 497 1.9× 782 3.1× 36 2.0k
Kristian Kristensen Denmark 19 692 0.8× 99 0.3× 182 0.6× 193 0.8× 500 2.0× 40 1.5k
Jean Marc J. M. Meynard France 16 791 0.9× 272 0.8× 140 0.5× 412 1.6× 279 1.1× 24 1.3k
G. Zanin Italy 22 790 0.9× 135 0.4× 125 0.4× 233 0.9× 167 0.7× 86 1.3k
Changqing Chen China 14 555 0.6× 412 1.2× 233 0.8× 231 0.9× 352 1.4× 38 1.1k

Countries citing papers authored by Shen Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Shen Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shen Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Shen Yuan. A scholar is included among the top collaborators of Shen Yuan 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 Shen Yuan. Shen Yuan 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.
Chen, Yang, et al.. (2025). Varietal improvement is a feasible approach for achieving high yield and superior quality simultaneously in ratoon rice. Field Crops Research. 322. 109772–109772. 6 indexed citations
2.
Ittersum, M.K. van, ‪João Vasco Silva, Frederick Baijukya, et al.. (2025). Prospects for cereal self-sufficiency in sub-Saharan Africa. Proceedings of the National Academy of Sciences. 122(24). e2423669122–e2423669122. 2 indexed citations
3.
Jiang, Kunpeng, Shuai Wang, Mingliang Yang, et al.. (2025). Genetic yield improvements and associated physiological and agronomic traits in soybean cultivars released from 1940 to 2021 in Northeast China. Field Crops Research. 328. 109956–109956.
4.
Yang, Guodong, Yifan Fu, Stephanie Alexander, et al.. (2025). Varietal traits for achieving high yield, superior quality, and strong lodging resistance in both inbred and hybrid rice in Central China. Journal of Integrative Agriculture. 1 indexed citations
5.
Deng, Zhiming, Kehui Cui, Yue Qian, et al.. (2024). Identifying a sustainable rice-based cropping system via on-farm evaluation of grain yield, carbon sequestration capacity and carbon footprints in Central China. Field Crops Research. 316. 109510–109510. 9 indexed citations
6.
Yuan, Shen, Kazuki Saito, P.A.J. van Oort, et al.. (2024). Intensifying rice production to reduce imports and land conversion in Africa. Nature Communications. 15(1). 835–835. 20 indexed citations
7.
Yu, Jiaying, et al.. (2024). A viscosity-sensitive probe based on the structure of indole salt. New Journal of Chemistry. 48(9). 3966–3973. 1 indexed citations
8.
Yu, Xing, Guodong Yang, Zuolin Zhang, et al.. (2023). Cutting height of main crop has profound effects on cadmium but not arsenic concentration of ratoon crop in rice. Field Crops Research. 302. 109085–109085. 1 indexed citations
9.
Yang, Guodong, et al.. (2023). Enhancing direct-seeded rice yield prediction using UAV-derived features acquired during the reproductive phase. Precision Agriculture. 25(2). 1014–1037. 15 indexed citations
10.
Yuan, Shen, et al.. (2023). Ratoon Rice-Duck Co-Culture Maintains Rice Grain Yield and Decreases Greenhouse Gas Emissions in Central China. SSRN Electronic Journal. 1 indexed citations
11.
Ling, Xiaoxia, Shen Yuan, Shaobing Peng, & Tao Li. (2021). Transferability of recommendations developed for transplanted rice to direct‐seeded rice in ORYZA model. Agronomy Journal. 113(6). 5612–5622. 6 indexed citations
12.
Yuan, Shen, Bruce A. Linquist, Lloyd T. Wilson, et al.. (2021). Sustainable intensification for a larger global rice bowl. Nature Communications. 12(1). 7163–7163. 211 indexed citations breakdown →
13.
Yuan, Shen, et al.. (2017). Rice Leaf Lateral Asymmetry in the Relationship between SPAD and Area-Based Nitrogen Concentration. Symmetry. 9(6). 83–83. 4 indexed citations
14.
Yuan, Shen. (2012). Analysis of triglycerides in vegetable oil by HPLC-Q/TOF. 1 indexed citations
15.
Yuan, Shen. (2010). Loss Analysis of A County's Distribution Network. Electric Power Construction. 2 indexed citations
16.
Yuan, Shen. (2008). Rapid Determination of Total Milk Solids in Milk and Yoghurt by MB45 Halogen Moisture Analyzer. 1 indexed citations
17.
Yuan, Shen. (2006). “Strong Intervention” and “Weak Intervention”:Two approaches of sociological intervention method. Sociological Research. 1 indexed citations
18.
Yuan, Shen, et al.. (2005). Study on the tissue anatomy on the pericarp of Juglans Regia L. Zhongguo shengtai nongye xuebao. 3 indexed citations
19.
Yuan, Shen, et al.. (2000). Development of remote sensing techniques to identify nitrogen status of paddy rice.. Zhongguo nongye qixiang. 7(4). 23–31. 3 indexed citations
20.
Yuan, Shen, et al.. (2000). Effects of global climate change to rice production.. Zhongguo nongye qixiang. 7(4). 69–85.

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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