Xiaoyu Song

5.9k total citations · 1 hit paper
149 papers, 4.6k citations indexed

About

Xiaoyu Song is a scholar working on Ecology, Plant Science and Environmental Engineering. According to data from OpenAlex, Xiaoyu Song has authored 149 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Ecology, 46 papers in Plant Science and 35 papers in Environmental Engineering. Recurrent topics in Xiaoyu Song's work include Remote Sensing in Agriculture (78 papers), Leaf Properties and Growth Measurement (35 papers) and Spectroscopy and Chemometric Analyses (26 papers). Xiaoyu Song is often cited by papers focused on Remote Sensing in Agriculture (78 papers), Leaf Properties and Growth Measurement (35 papers) and Spectroscopy and Chemometric Analyses (26 papers). Xiaoyu Song collaborates with scholars based in China, United States and United Kingdom. Xiaoyu Song's co-authors include Guijun Yang, Haikuan Feng, Samuel M. Hoffman, Joseph Glassy, M. A. Friedl, Ranga B. Myneni, P. Votava, Steven W. Running, Ramakrishna Nemani and Alexander Lotsch and has published in prestigious journals such as Remote Sensing of Environment, Journal of Cleaner Production and Scientific Reports.

In The Last Decade

Xiaoyu Song

136 papers receiving 4.4k citations

Hit Papers

Global products of vegetation leaf area and fraction abso... 2002 2026 2010 2018 2002 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoyu Song China 31 2.8k 1.7k 1.4k 1.4k 678 149 4.6k
Yanbo Huang United States 37 2.7k 0.9× 989 0.6× 3.0k 2.1× 1.1k 0.8× 527 0.8× 166 5.7k
Mirco Boschetti Italy 39 3.0k 1.1× 1.7k 1.0× 2.0k 1.4× 1.4k 1.0× 715 1.1× 156 5.1k
Jingfeng Huang China 39 3.0k 1.1× 1.6k 0.9× 1.7k 1.2× 1.4k 1.0× 1.4k 2.0× 233 5.1k
Nataliia Kussul Ukraine 34 2.4k 0.9× 1.8k 1.1× 915 0.6× 987 0.7× 821 1.2× 166 4.7k
Helmi Zulhaidi Mohd Shafri Malaysia 38 1.7k 0.6× 1.5k 0.9× 714 0.5× 1.6k 1.2× 717 1.1× 237 4.9k
Zheng Niu China 44 4.3k 1.5× 2.8k 1.7× 1.6k 1.1× 2.7k 2.0× 1.4k 2.0× 287 7.6k
Wenbin Wu China 48 3.5k 1.2× 3.1k 1.9× 2.1k 1.5× 1.4k 1.1× 1.3k 1.9× 224 7.4k
Sergii Skakun United States 37 3.7k 1.3× 2.5k 1.5× 1.2k 0.8× 1.7k 1.2× 1.2k 1.8× 144 6.3k
Chunjiang Zhao China 45 3.2k 1.1× 1.0k 0.6× 3.8k 2.6× 1.8k 1.3× 649 1.0× 418 7.7k
Jiali Shang Canada 43 3.3k 1.2× 1.4k 0.8× 1.8k 1.2× 2.8k 2.0× 1.4k 2.1× 181 6.7k

Countries citing papers authored by Xiaoyu Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyu Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyu Song. A scholar is included among the top collaborators of Xiaoyu Song 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 Xiaoyu Song. Xiaoyu Song 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.
Long, Huiling, Hao Yang, Xiaoyu Song, et al.. (2025). Dynamic UAV data fusion and deep learning for improved maize phenological-stage tracking. The Crop Journal. 13(3). 961–974. 3 indexed citations
3.
Zhang, Chengjian, Haikuan Feng, Huiling Long, et al.. (2024). Real-time monitoring of maize phenology with the VI-RGS composite index using time-series UAV remote sensing images and meteorological data. Computers and Electronics in Agriculture. 224. 109212–109212. 17 indexed citations
6.
Zhou, Lin, Jie Zhang, Haikuan Feng, et al.. (2024). Estimation of Peanut Southern Blight Severity in Hyperspectral Data Using the Synthetic Minority Oversampling Technique and Fractional-Order Differentiation. Agriculture. 14(3). 476–476. 2 indexed citations
8.
Liu, Yang, Haikuan Feng, Jibo Yue, et al.. (2023). Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements. Computers and Electronics in Agriculture. 213. 108229–108229. 75 indexed citations
9.
Song, Xiaoyu, et al.. (2023). Sustainable Development Goal 6 Assessment and Attribution Analysis of Underdeveloped Small Regions Using Integrated Multisource Data. Remote Sensing. 15(15). 3885–3885. 8 indexed citations
10.
Fan, Yiguang, Haikuan Feng, Jibo Yue, et al.. (2023). Comparison of Different Dimensional Spectral Indices for Estimating Nitrogen Content of Potato Plants over Multiple Growth Periods. Remote Sensing. 15(3). 602–602. 17 indexed citations
11.
Xu, Xingang, Xiaoyu Song, Huiling Long, Meng Yang, & Haikuan Feng. (2023). Using Canopy Hyperspectral Measurements to Evaluate Nitrogen Status in Different Leaf Layers of Winter Wheat. 15. 1–4.
12.
Liu, Yang, Haikuan Feng, Jibo Yue, et al.. (2022). Estimation of Potato Above-Ground Biomass Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs. Remote Sensing. 14(21). 5323–5323. 18 indexed citations
13.
Liu, Yang, Haikuan Feng, Jibo Yue, et al.. (2022). Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression. Remote Sensing. 14(21). 5449–5449. 28 indexed citations
14.
Zhang, Jie, et al.. (2022). Remote Sensing Monitoring of Rice Grain Protein Content Based on a Multidimensional Euclidean Distance Method. Remote Sensing. 14(16). 3989–3989. 5 indexed citations
15.
Song, Xiaoyu, Guijun Yang, Xingang Xu, et al.. (2022). Winter Wheat Nitrogen Estimation Based on Ground-Level and UAV-Mounted Sensors. Sensors. 22(2). 549–549. 14 indexed citations
16.
Gu, Xiaohe, Qian Sun, Guijun Yang, Xiaoyu Song, & Xingang Xu. (2019). Monitoring Maize Lodging Disaster Via Multi-Temporal Remote Sensing Images. 7302–7305. 1 indexed citations
17.
Cui, Bei, et al.. (2019). A New Integrated Vegetation Index for the Estimation of Winter Wheat Leaf Chlorophyll Content. Remote Sensing. 11(8). 974–974. 82 indexed citations
18.
Fu, Yuanyuan, Guijun Yang, Haikuan Feng, et al.. (2013). Comparative analysis of three regression methods for the winter wheat biomass estimation using hyperspectral measurements. Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013). 2 indexed citations
19.
Song, Xiaoyu, et al.. (2012). Application of ACOTS hybrid algorithm for job shop scheduling problems. International Conference on Modelling, Identification and Control. 289–293.
20.
Li, Cunjun, Xiaoyu Song, Jihua Wang, et al.. (2011). Assessment of Land Suitability Potentials for Selecting Winter Wheat Cultivation Areas in Beijing, China, Using RS and GIS. Agricultural Sciences in China. 10(9). 1419–1430. 19 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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