Peng Shaobing

444 total citations
23 papers, 367 citations indexed

About

Peng Shaobing is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Peng Shaobing has authored 23 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 4 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Agronomy and Crop Science. Recurrent topics in Peng Shaobing's work include Rice Cultivation and Yield Improvement (15 papers), Crop Yield and Soil Fertility (3 papers) and Plant responses to water stress (3 papers). Peng Shaobing is often cited by papers focused on Rice Cultivation and Yield Improvement (15 papers), Crop Yield and Soil Fertility (3 papers) and Plant responses to water stress (3 papers). Peng Shaobing collaborates with scholars based in China and Philippines. Peng Shaobing's co-authors include B. S. Vergara, Arlene Q. Chavez, Yingbin Zou, Qiyuan Tang, Le Xu, M. Laza, Guodong Yang, Wanju Shi, Yunbo Zhang and Chen Song and has published in prestigious journals such as Environmental and Experimental Botany, Scientia Horticulturae and Physiological and Molecular Plant Pathology.

In The Last Decade

Peng Shaobing

22 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Shaobing China 9 309 81 73 58 53 23 367
Sui Fang-gong China 5 355 1.1× 37 0.5× 124 1.7× 116 2.0× 74 1.4× 10 471
Luz del Carmen Lagunes‐Espinoza Mexico 10 238 0.8× 75 0.9× 45 0.6× 33 0.6× 33 0.6× 68 375
Camila Aguetoni Cambuí Brazil 8 237 0.8× 133 1.6× 78 1.1× 19 0.3× 43 0.8× 9 400
A. Rzepka Poland 12 402 1.3× 40 0.5× 144 2.0× 131 2.3× 19 0.4× 29 510
Markus Lötscher Germany 10 296 1.0× 62 0.8× 92 1.3× 132 2.3× 64 1.2× 13 492
L. Carrasco Spain 7 304 1.0× 42 0.5× 68 0.9× 16 0.3× 35 0.7× 9 404
Ojs Jki 4 279 0.9× 52 0.6× 48 0.7× 60 1.0× 77 1.5× 6 401
Barbora Rapantová Czechia 7 253 0.8× 53 0.7× 32 0.4× 74 1.3× 49 0.9× 9 321
Mohammad Mahamood Saudi Arabia 11 207 0.7× 27 0.3× 100 1.4× 17 0.3× 76 1.4× 25 349
Tomomi Nakamoto Japan 13 325 1.1× 50 0.6× 173 2.4× 105 1.8× 48 0.9× 39 459

Countries citing papers authored by Peng Shaobing

Since Specialization
Citations

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

Fields of papers citing papers by Peng Shaobing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Shaobing

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Shaobing. A scholar is included among the top collaborators of Peng Shaobing 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 Peng Shaobing. Peng Shaobing 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.
Shaobing, Peng, et al.. (2025). Anthocyanin accumulation improves Melampsora medusae resistance in red-leafed poplars. Physiological and Molecular Plant Pathology. 139. 102637–102637.
2.
Zhou, Longfei, Ran Meng, Xing Yu, et al.. (2023). Improved Yield Prediction of Ratoon Rice Using Unmanned Aerial Vehicle-Based Multi-Temporal Feature Method. Rice Science. 30(3). 247–256. 23 indexed citations
3.
Yang, Guiyan, Dapei Li, Peng Shaobing, et al.. (2022). Walnut JrGSTU23 and JrVHAc4 involve in drought tolerance via JrWRKY2-mediated upstream regulatory pathway. Scientia Horticulturae. 295. 110871–110871. 9 indexed citations
4.
Chen, Qian, et al.. (2018). Optimal nitrogen fertilizer management for direct seeding rice: a review.. International Journal of Agriculture and Biology. 20(6). 1382–1390. 3 indexed citations
5.
Zhang, Guozhong, et al.. (2017). Simulation and analysis of the stubble pushing rate by chassis of the completely tracked harvester for the ratoon rice.. Anhui Nongye Daxue xuebao. 44(4). 738–743. 4 indexed citations
7.
Nie, Lixiao, et al.. (2014). Causes of soil sickness associated with aerobic rice continuous monocropping.. International Journal of Agriculture and Biology. 16(2). 431–434. 2 indexed citations
8.
Zhang, Yunbo, Qiyuan Tang, Peng Shaobing, et al.. (2013). Effects of high night temperature on yield and agronomic traits of irrigated rice under field chamber system condition. Australian Journal of Crop Science. 7(1). 7–13. 33 indexed citations
9.
Shaobing, Peng. (2008). Effect of Real-time and Site-specific Nitrogen Management on Various Hybrid Rice. Zhongguo nongye Kexue. 4 indexed citations
10.
Shaobing, Peng. (2008). The Importance of Improved Crop Management to World Rice Production. Crop Research. 7 indexed citations
11.
Shaobing, Peng, et al.. (2007). Specification for the “Three Controls” nutrient management technology for irrigated rice. Guangdong nongye kexue. 15 indexed citations
12.
Shaobing, Peng, et al.. (2007). Effect of Nitrogen Application Timing on Grain Yield,Nitrogen Uptake and Use Efficiency of Hybrid Rice in South China. Zajiao shuidao. 6 indexed citations
13.
Shaobing, Peng, Rebecca C. Laza, R. M. Visperas, et al.. (2005). Progress in breeding the new plant type for yield improvement: a physiological view.. 130–132. 10 indexed citations
14.
Buresh, R. J., Peng Shaobing, Jianliang Huang, et al.. (2004). Rice systems in China with high nitrogen inputs.. 143–153. 13 indexed citations
15.
Shaobing, Peng. (2002). Research Strategy in Improving Fertilizer-nitrogen Use Efficiency of Irrigated Rice in China. Zhongguo nongye Kexue. 113 indexed citations
16.
Shaobing, Peng, et al.. (2002). Stomatal characteristics of new plant type rice developed by international rice research institute. 3 indexed citations
17.
Yang, Jianchang, Peng Shaobing, Shiliang Gu, R. M. Visperas, & Qingsen Zhu. (2001). Changes in zeatin and zeatin riboside content in rice grains and roots during grain filling and the relationship to grain plumpness. Zuo wu xue bao. 27(1). 35–42. 5 indexed citations
18.
Zhong, Xuhua, Peng Shaobing, J. E. SHEEHY, & Hongxian Liu. (2001). Relationship between productive tiller percentage and biomass accumulation in rice (Oryza sativa L.): A simulation approach. Zhongguo shuidao kexue. 15(2). 107–112. 3 indexed citations
19.
Zhang, Chufu, et al.. (1999). Effect of exogenous ammonium on glutamine synthetase, glutamate synthase, and glutamate dehydrogenase in the root of rice seedling. Wuhan University Journal of Natural Sciences. 4(3). 358–362. 1 indexed citations
20.
Zhang, Chufu, Peng Shaobing, & John Bennett. (1998). Changes of levels of glutamine synthetase isoforms in roots and leaves in response to nitrogen fertilizer application at different growth stages in irrigated rice. Wuhan University Journal of Natural Sciences. 3(4). 476–480. 1 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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