Xiaodong Song

2.7k total citations · 1 hit paper
48 papers, 1.9k citations indexed

About

Xiaodong Song is a scholar working on Environmental Engineering, Soil Science and Ecology. According to data from OpenAlex, Xiaodong Song has authored 48 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Environmental Engineering, 25 papers in Soil Science and 12 papers in Ecology. Recurrent topics in Xiaodong Song's work include Soil Geostatistics and Mapping (25 papers), Soil Carbon and Nitrogen Dynamics (18 papers) and Soil erosion and sediment transport (10 papers). Xiaodong Song is often cited by papers focused on Soil Geostatistics and Mapping (25 papers), Soil Carbon and Nitrogen Dynamics (18 papers) and Soil erosion and sediment transport (10 papers). Xiaodong Song collaborates with scholars based in China, United Kingdom and United States. Xiaodong Song's co-authors include Gan‐Lin Zhang, Feng Liu, Yu-Guo Zhao, Chao Li, Jinling Yang, Huayong Wu, Degan Zhang, Xiang Wang, Dexin Zhao and A‐Xing Zhu and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Xiaodong Song

45 papers receiving 1.8k citations

Hit Papers

Mapping high resolution National Soil Information Grids o... 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaodong Song China 22 782 691 430 248 246 48 1.9k
Pierre Roudier New Zealand 19 1.1k 1.4× 704 1.0× 488 1.1× 382 1.5× 184 0.7× 45 2.0k
Margaret Schmidt Canada 20 703 0.9× 539 0.8× 367 0.9× 228 0.9× 318 1.3× 50 1.8k
Alexandre M.J.‐C. Wadoux Australia 25 1.3k 1.7× 672 1.0× 474 1.1× 466 1.9× 259 1.1× 55 1.9k
Elia Scudiero United States 21 831 1.1× 362 0.5× 467 1.1× 179 0.7× 195 0.8× 56 1.6k
Brandon Heung Canada 20 1.0k 1.3× 448 0.6× 414 1.0× 393 1.6× 282 1.1× 64 1.8k
Chuck Bulmer Canada 18 609 0.8× 484 0.7× 268 0.6× 214 0.9× 186 0.8× 41 1.3k
Hongbin Liu China 22 565 0.7× 362 0.5× 282 0.7× 440 1.8× 132 0.5× 81 1.8k
Shengxiang Xu China 21 613 0.8× 926 1.3× 400 0.9× 291 1.2× 139 0.6× 50 1.7k
Gabriele Buttafuocò Italy 31 1.3k 1.6× 554 0.8× 540 1.3× 658 2.7× 230 0.9× 87 2.5k
Elpídio Inácio Fernandes Filho Brazil 25 874 1.1× 482 0.7× 599 1.4× 373 1.5× 175 0.7× 126 2.3k

Countries citing papers authored by Xiaodong Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodong Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodong Song. A scholar is included among the top collaborators of Xiaodong 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 Xiaodong Song. Xiaodong 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.
Chen, Kuan, Xiaodong Song, Yiyao Liu, et al.. (2025). Soil quality improvement on Qinghai-Tibet Plateau induced by soil hydrothermal changes from 1980s to 2020s. Geoderma. 455. 117235–117235. 4 indexed citations
2.
Wu, Jianzhao, Lei Deng, Yuanyuan Huang, et al.. (2025). Soil organic and inorganic carbon pools in the Loess Plateau: New estimation, change and trade-offs. Global and Planetary Change. 253. 104951–104951. 1 indexed citations
4.
Dai, Wenxia, Jing Wang, Zhenwang Li, et al.. (2024). Biochar and Straw Amendments over a Decade Divergently Alter Soil Organic Carbon Accumulation Pathways. Agronomy. 14(9). 2176–2176. 7 indexed citations
6.
Li, Zhenwang, et al.. (2023). Synergetic use of DEM derivatives, Sentinel-1 and Sentinel-2 data for mapping soil properties of a sloped cropland based on a two-step ensemble learning method. The Science of The Total Environment. 866. 161421–161421. 21 indexed citations
7.
Zhang, Jing, et al.. (2023). Spatial Variation in Soil Base Saturation and Exchangeable Cations in Tropical and Subtropical China. Agronomy. 13(3). 781–781. 6 indexed citations
8.
Rossiter, David G., et al.. (2020). An approach for broad‐scale predictive soil properties mapping in low‐relief areas based on responses to solar radiation. Soil Science Society of America Journal. 84(1). 144–162. 8 indexed citations
9.
Song, Xiaodong, Feng Liu, Huayong Wu, et al.. (2019). Effects of long-term K fertilization on soil available potassium in East China. CATENA. 188. 104412–104412. 53 indexed citations
10.
Wu, Huayong, Jonathan M. Adams, Yu Shi, et al.. (2019). Depth-Dependent Patterns of Bacterial Communities and Assembly Processes in a Typical Red Soil Critical Zone. Geomicrobiology Journal. 37(3). 201–212. 29 indexed citations
11.
Zhi, Junjun, Gan‐Lin Zhang, Ren‐Min Yang, et al.. (2017). An Insight into Machine Learning Algorithms to Map the Occurrence of the Soil Mattic Horizon in the Northeastern Qinghai-Tibetan Plateau. Pedosphere. 28(5). 739–750. 8 indexed citations
12.
Zhang, Gan‐Lin, Feng Liu, & Xiaodong Song. (2017). Recent progress and future prospect of digital soil mapping: A review. Journal of Integrative Agriculture. 16(12). 2871–2885. 166 indexed citations
13.
Zhi, Junjun, Gan‐Lin Zhang, Fei Yang, et al.. (2017). Predicting mattic epipedons in the northeastern Qinghai-Tibetan Plateau using Random Forest. Geoderma Regional. 10. 1–10. 39 indexed citations
14.
Song, Xiaodong, Feng Liu, Gan‐Lin Zhang, et al.. (2017). Mapping Soil Organic Carbon Using Local Terrain Attributes: A Comparison of Different Polynomial Models. Pedosphere. 27(4). 681–693. 17 indexed citations
15.
Song, Xiaodong, Gan‐Lin Zhang, Feng Liu, et al.. (2016). Modeling spatio-temporal distribution of soil moisture by deep learning-based cellular automata model. Journal of Arid Land. 8(5). 734–748. 124 indexed citations
16.
Liu, Feng, et al.. (2016). Soil polygon disaggregation through similarity-based prediction with legacy pedons. Journal of Arid Land. 8(5). 760–772. 9 indexed citations
17.
Song, Xiaodong, Gan‐Lin Zhang, Feng Liu, Chao Li, & Yu-Guo Zhao. (2016). Characterization of the spatial variability of soil available zinc at various sampling densities using grouped soil type information. Environmental Monitoring and Assessment. 188(11). 600–600. 4 indexed citations
18.
Liu, Feng, David G. Rossiter, Xiaodong Song, et al.. (2015). A similarity-based method for three-dimensional prediction of soil organic matter concentration. Geoderma. 263. 254–263. 29 indexed citations
19.
20.
Song, Xiaodong, et al.. (2010). The Measurement of Micro Platform's Position and Pose Based on Monocular Visual. 561–564. 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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