Shaokun Li

1.2k total citations · 1 hit paper
45 papers, 840 citations indexed

About

Shaokun Li is a scholar working on Plant Science, Agronomy and Crop Science and Atmospheric Science. According to data from OpenAlex, Shaokun Li has authored 45 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 13 papers in Agronomy and Crop Science and 11 papers in Atmospheric Science. Recurrent topics in Shaokun Li's work include Crop Yield and Soil Fertility (13 papers), Remote Sensing and Land Use (11 papers) and Genetics and Plant Breeding (11 papers). Shaokun Li is often cited by papers focused on Crop Yield and Soil Fertility (13 papers), Remote Sensing and Land Use (11 papers) and Genetics and Plant Breeding (11 papers). Shaokun Li collaborates with scholars based in China, United States and United Kingdom. Shaokun Li's co-authors include Bo Ming, Ruizhi Xie, Peng Hou, Jun Xue, Keru Wang, Xiuliang Jin, Yongdun Xie, Zhenhai Li, Yonggui Xiao and Pablo J. Zarco‐Tejada and has published in prestigious journals such as The Astrophysical Journal, Frontiers in Plant Science and International Journal of Remote Sensing.

In The Last Decade

Shaokun Li

43 papers receiving 811 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms

2020 208 citations Xiuliang Jin, Bo Ming et al. profile →

Peers

Shaokun Li

PS

ACS

ECOLO

SS

AC

M. T. Nieto‐Taladriz Spain

Raí Augusto Schwalbert Brazil

Johannes Ravn Jørgensen Denmark

N. Neumaier Brazil

Shenghao Gu China

Geomar Mateus Corassa Brazil

Luciano Shozo Shiratsuchi Brazil

J. R. B. Farias Brazil

Barbara George‐Jaeggli Australia

Adrian Gracia‐Romero Spain

M. T. Nieto‐Taladriz Spain

Shaokun Li

1.2k ×1.9

PS

306 ×1.0

ACS

330 ×1.3

ECOLO

60 ×0.5

SS

120 ×1.0

AC

Citations per year, relative to Shaokun Li Shaokun Li (= 1×) peers M. T. Nieto‐Taladriz

Countries citing papers authored by Shaokun Li

Since Specialization

Citations

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

Fields of papers citing papers by Shaokun Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaokun Li

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Liu, Yi, Dayun Feng, Kun Gao, et al.. (2025). Water management mitigates drought stress effects on maize leaf senescence and post-anthesis dry matter accumulation. Agricultural Water Management. 318. 109709–109709.

2.

Liu, Wanmao, Guangzhou Liu, Yunshan Yang, et al.. (2023). Spatial distribution of maize grain quality and its influence by climatic factors across China. Agronomy Journal. 115(5). 2439–2450. 1 indexed citations

3.

Ming, Bo, Xinyu Guo, Shang Gao, et al.. (2021). Kernel position effects of grain morphological characteristics by X-ray micro-computed tomography (μCT). International journal of agricultural and biological engineering. 14(2). 159–166. 1 indexed citations

4.

Li, Hongyan, Yonghong Wang, Jun Xue, et al.. (2021). Allocation of maize varieties according to temperature for use in mechanical kernel harvesting in Ningxia, China. International journal of agricultural and biological engineering. 14(1). 20–28. 6 indexed citations

5.

Xue, Jun, Bo Ming, Ruizhi Xie, et al.. (2020). Evaluation of maize lodging resistance based on the critical wind speed of stalk breaking during the late growth stage. Plant Methods. 16(1). 148–148. 33 indexed citations

6.

Zhang, Ying, Xiuliang Jin, Pengfei Dong, et al.. (2019). Structural parameters for X-ray micro-computed tomography (μCT) and their relationship with the breakage rate of maize varieties. Plant Methods. 15(1). 161–161. 16 indexed citations

7.

Wang, Kangyu, Li Li, Mingzhu Zhao, et al.. (2018). Characterization of the complete chloroplast genome of Jilin ginseng (Panax ginseng C. A. Meyer) using next generation sequencing. Mitochondrial DNA Part B. 3(2). 685–686. 7 indexed citations

8.

Wang, Fang, Dingrong Xiong, Jin‐Ming Bai, Shaokun Li, & Jian-Guo Wang. (2017). The photometric monitoring ofγ-ray-loud narrow-line Seyfert 1 galaxy 1H 0323+342 from 2006 to 2010. Research in Astronomy and Astrophysics. 17(7). 68–68. 5 indexed citations

9.

Hou, Peng, Qiang Gao, Ruizhi Xie, et al.. (2012). Grain yields in relation to N requirement: Optimizing nitrogen management for spring maize grown in China. Field Crops Research. 129. 1–6. 163 indexed citations

10.

Chen, Bing, Keru Wang, Shaokun Li, et al.. (2011). Monitoring Cotton Field with Suspected Verticillium wilt Using Satellite Remote Sensing with TM Satellite Image as an Example. ACTA AGRONOMICA SINICA. 38(1). 129–139. 1 indexed citations

11.

Li, Shaokun, et al.. (2010). Measurement of cotton leaf thickness with hyper spectrum.. Nongye gongcheng xuebao. 26(1). 262–266. 1 indexed citations

12.

Li, Shaokun. (2009). Design and Realization of the Maize Disease Diagnosis System Based on Image Rules. Yumi kexue. 1 indexed citations

13.

Wang, Na, et al.. (2009). Maize leaf disease identification based on fisher discrimination analysis.. Zhongguo nongye Kexue. 42(11). 3836–3842. 22 indexed citations

14.

Li, Shaokun, et al.. (2009). Research progress in wheat grain protein content monitoring using remote sensing.. Nongye gongcheng xuebao. 25(2). 302–307. 6 indexed citations

15.

Li, Chaosu, et al.. (2009). Effect of Wheat Residue Retention on Grain Yield and Main Quality Characters of Rice in Rice-wheat Cropping System. Xi'nan nongye xuebao. 22(4). 895–900. 1 indexed citations

16.

Li, Shaokun, et al.. (2009). Advances in research on computer-vision diagnosis of crop diseases.. Zhongguo nongye Kexue. 42(4). 1215–1221. 10 indexed citations

17.

Li, Shaokun. (2005). Comparitive Study on the Measure Methods of the Leaf Area. Journal of Shihezi University. 2 indexed citations

18.

Lu, Yanli, et al.. (2005). Studies on wheat canopy structure by hyperspectral remote sensing. 38(5). 911–915. 2 indexed citations

19.

Lü, Xin, et al.. (2003). Appraisal of soil fertility and fertilization decision support system for cotton. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4890. 966–966. 1 indexed citations

20.

Li, Shaokun, et al.. (1999). Cluster analysis for photosynthetic characters of inbred lines of maize in China. Zuo wu xue bao. 25(6). 733–741. 3 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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