Shaoyu Han

626 total citations
29 papers, 467 citations indexed

About

Shaoyu Han is a scholar working on Ecology, Plant Science and Environmental Engineering. According to data from OpenAlex, Shaoyu Han has authored 29 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 18 papers in Plant Science and 10 papers in Environmental Engineering. Recurrent topics in Shaoyu Han's work include Remote Sensing in Agriculture (22 papers), Remote Sensing and LiDAR Applications (9 papers) and Leaf Properties and Growth Measurement (7 papers). Shaoyu Han is often cited by papers focused on Remote Sensing in Agriculture (22 papers), Remote Sensing and LiDAR Applications (9 papers) and Leaf Properties and Growth Measurement (7 papers). Shaoyu Han collaborates with scholars based in China, United Kingdom and Spain. Shaoyu Han's co-authors include Guijun Yang, Hao Yang, Haikuan Feng, Fa Zhao, Yaohui Zhu, Riqiang Chen, Chunjiang Zhao, Yu Zhao, Chengjian Zhang and Zhenhai Li and has published in prestigious journals such as Remote Sensing, Computers and Electronics in Agriculture and European Journal of Agronomy.

In The Last Decade

Shaoyu Han

26 papers receiving 455 citations

Peers

Shaoyu Han

ECOLO

Danielle Elis Garcia Furuya Brazil

Luís Guilherme Teixeira Crusiol Brazil

Jingshan Lu China

Ze Zhang China

Changwei Tan China

Sourav Bhadra United States

Weiping Kong China

Yi Ma China

Ma. Luisa Buchaillot Spain

Chunsong Bian China

Danielle Elis Garcia Furuya Brazil

Shaoyu Han

335 ×1.0

ECOLO

300 ×1.2

190 ×1.3

107 ×1.1

39 ×0.5

Citations per year, relative to Shaoyu Han Shaoyu Han (= 1×) peers Danielle Elis Garcia Furuya

Countries citing papers authored by Shaoyu Han

Since Specialization

Citations

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

Fields of papers citing papers by Shaoyu Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoyu Han

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoyu Han. A scholar is included among the top collaborators of Shaoyu Han 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 Shaoyu Han. Shaoyu Han 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

Feng, Haikuan, Shaoyu Han, Chao Wang, et al.. (2025). A UAV-based hybrid approach for improving aboveground dry biomass estimation of winter wheat. European Journal of Agronomy. 168. 127638–127638.

Chen, Riqiang, Wenping Liu, Hao Yang, et al.. (2024). A novel framework to assess apple leaf nitrogen content: Fusion of hyperspectral reflectance and phenology information through deep learning. Computers and Electronics in Agriculture. 219. 108816–108816. 14 indexed citations

Han, Shaoyu, et al.. (2024). Analysis of the relationship between shorter sleep duration and wrist fractures: based on NHANES. BMC Musculoskeletal Disorders. 25(1). 378–378.

Li, Zhenhong, Fa Zhao, Han Wang, et al.. (2024). Mapping Fruit-Tree Plantation Using Sentinel-1/2 Time Series Images with Multi-Index Entropy Weighting Dynamic Time Warping Method. Remote Sensing. 16(18). 3390–3390. 4 indexed citations

Hu, Jingyu, Jibo Yue, Xin Xu, et al.. (2023). UAV-Based Remote Sensing for Soybean FVC, LCC, and Maturity Monitoring. Agriculture. 13(3). 692–692. 16 indexed citations

Wang, Han, Wangfei Zhang, Guijun Yang, et al.. (2023). Maize Ear Height and Ear–Plant Height Ratio Estimation with LiDAR Data and Vertical Leaf Area Profile. Remote Sensing. 15(4). 964–964. 12 indexed citations

Li, Heli, Shaoyu Han, Riqiang Chen, et al.. (2023). Estimation of Soybean Yield by Combining Maturity Group Information and Unmanned Aerial Vehicle Multi-Sensor Data Using Machine Learning. Remote Sensing. 15(17). 4286–4286. 23 indexed citations

Han, Shaoyu, Jie Zheng, Zhenhai Li, et al.. (2023). ChinaWheatYield30m: a 30 m annual winter wheat yield dataset from 2016 to 2021 in China. Earth system science data. 15(9). 4047–4063. 6 indexed citations

Yang, Hao, Jianbo Qi, Shaoyu Han, et al.. (2023). Evaluation of the effect of leaf spatial aggregation on chlorophyll content retrieval in open-canopy apple orchards. International Journal of Applied Earth Observation and Geoinformation. 121. 103367–103367. 17 indexed citations

10.

Han, Shaoyu, et al.. (2023). Efficacy of Antibiotic Cement in Preserving Endoplants After Infection With Plate Exposure. Surgical Infections. 24(5). 440–447. 1 indexed citations

11.

Liu, Xinjie, et al.. (2022). Different Responses of Solar-Induced Chlorophyll Fluorescence at the Red and Far-Red Bands and Gross Primary Productivity to Air Temperature for Winter Wheat. Remote Sensing. 14(13). 3076–3076. 1 indexed citations

12.

Zhang, Shanxin, Shaoyu Han, Yang Liu, et al.. (2022). Monitoring of Soybean Maturity Using UAV Remote Sensing and Deep Learning. Agriculture. 13(1). 110–110. 22 indexed citations

13.

Chen, Riqiang, Chengjian Zhang, Bo Xu, et al.. (2022). Predicting individual apple tree yield using UAV multi-source remote sensing data and ensemble learning. Computers and Electronics in Agriculture. 201. 107275–107275. 63 indexed citations

14.

Zhao, Yu, Meng Yang, Shaoyu Han, et al.. (2022). Should phenological information be applied to predict agronomic traits across growth stages of winter wheat?. The Crop Journal. 10(5). 1346–1352. 28 indexed citations

15.

Yang, Hao, Jianbo Qi, Zhendong Sun, et al.. (2022). Estimating canopy-scale chlorophyll content in apple orchards using a 3D radiative transfer model and UAV multispectral imagery. Computers and Electronics in Agriculture. 202. 107401–107401. 42 indexed citations

16.

Zhao, Yu, Shaoyu Han, Meng Yang, et al.. (2022). Transfer-Learning-Based Approach for Yield Prediction of Winter Wheat from Planet Data and SAFY Model. Remote Sensing. 14(21). 5474–5474. 22 indexed citations

17.

Zhu, Yaohui, Guijun Yang, Hao Yang, et al.. (2022). Forecasting regional apple first flowering using the sequential model and gridded meteorological data with spatially optimized calibration. Computers and Electronics in Agriculture. 196. 106869–106869. 5 indexed citations

18.

Zhao, Fa, Guijun Yang, Xiaodong Yang, et al.. (2021). Determination of Key Phenological Phases of Winter Wheat Based on the Time-Weighted Dynamic Time Warping Algorithm and MODIS Time-Series Data. Remote Sensing. 13(9). 1836–1836. 16 indexed citations

19.

Han, Shaoyu, et al.. (2021). Energy efficiency evaluation of consumer based on fuzzy comprehensive evaluation method. IOP Conference Series Earth and Environmental Science. 784(1). 12006–12006. 2 indexed citations

20.

Yang, Chao, et al.. (1995). Effect of the Alternation of Lowland-Upland Field and the Cropping Pattern on Weed Population. Korean Journal of Weed Science. 15(4). 298–304. 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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