Songchao Chen

9.6k total citations · 3 hit papers
173 papers, 6.2k citations indexed

About

Songchao Chen is a scholar working on Environmental Engineering, Artificial Intelligence and Soil Science. According to data from OpenAlex, Songchao Chen has authored 173 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Environmental Engineering, 70 papers in Artificial Intelligence and 60 papers in Soil Science. Recurrent topics in Songchao Chen's work include Soil Geostatistics and Mapping (119 papers), Geochemistry and Geologic Mapping (69 papers) and Soil Carbon and Nitrogen Dynamics (51 papers). Songchao Chen is often cited by papers focused on Soil Geostatistics and Mapping (119 papers), Geochemistry and Geologic Mapping (69 papers) and Soil Carbon and Nitrogen Dynamics (51 papers). Songchao Chen collaborates with scholars based in China, France and United States. Songchao Chen's co-authors include Zhou Shi, Bifeng Hu, Yin Zhou, Dominique Arrouays, Wenjun Ji, Raphael A. Viscarra Rossel, Dongyun Xu, Christian Walter, Yongsheng Hong and Zongzheng Liang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Songchao Chen

161 papers receiving 6.1k citations

Hit Papers

Current status, spatial features, health risks, and poten... 2020 2026 2022 2024 2020 2021 2023 100 200 300

Peers

Songchao Chen
David C. Weindorf United States
Songchao Chen
Citations per year, relative to Songchao Chen Songchao Chen (= 1×) peers David C. Weindorf

Countries citing papers authored by Songchao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Songchao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songchao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Songchao Chen. A scholar is included among the top collaborators of Songchao Chen 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 Songchao Chen. Songchao Chen 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.
Wang, Xi, Songchao Chen, Chang Zhou, Si‐Bo Duan, & Zhou Shi. (2025). Cross-sensor data reconstruction for optical remote sensing gap-filling with attention-enhanced multi-scale fusion network. International Journal of Applied Earth Observation and Geoinformation. 140. 104571–104571. 1 indexed citations
2.
Richer-De-Forges, Anne C, Songchao Chen, Dominique Arrouays, Hocine Bourennane, & Budiman Minasny. (2024). Hand-feel soil texture classes and particle-size distribution as predictors of soil water content at field capacity. Further insights into the sources of uncertainty. CATENA. 244. 108268–108268. 1 indexed citations
3.
Zhou, Yuwei, Asim Biswas, Yongsheng Hong, et al.. (2024). Enhancing soil profile analysis with soil spectral libraries and laboratory hyperspectral imaging. Geoderma. 450. 117036–117036. 7 indexed citations
4.
Wang, Yu, et al.. (2024). Predicting soil organic carbon content using simulated insitu spectra and moisture correction algorithms in southern Xinjiang, China. Geoderma Regional. 37. e00783–e00783. 5 indexed citations
5.
Richer-De-Forges, Anne C, Dominique Arrouays, Zamir Libohova, et al.. (2024). Revealing Topsoil Behavior to Compaction from Mining Field Observations. Land. 13(7). 909–909. 1 indexed citations
6.
Hu, Bifeng, Yue Zhou, Songchao Chen, et al.. (2024). A high-resolution map of soil organic carbon in cropland of Southern China. CATENA. 237. 107813–107813. 39 indexed citations
7.
Chen, Songchao, Zhongxing Chen, Xianglin Zhang, et al.. (2024). European topsoil bulk density and organic carbon stock database (0–20 cm) using machine-learning-based pedotransfer functions. Earth system science data. 16(5). 2367–2383. 22 indexed citations
8.
Chen, Qianqian, Anne C Richer-De-Forges, Songchao Chen, et al.. (2024). Uncertainty in Digital Soil Mapping at broad-scale: A review. SPIRE - Sciences Po Institutional REpository.
9.
Wang, Yübo, Fang Liu, Zhixin Li, Songchao Chen, & Xu Zhao. (2024). An Approach to Maximize the Admitted Device-to-Device Pairs in MU-MIMO Cellular Networks. Electronics. 13(7). 1198–1198. 1 indexed citations
10.
Yang, Meihua, et al.. (2023). Exploring the Potential of vis-NIR Spectroscopy as a Covariate in Soil Organic Matter Mapping. Remote Sensing. 15(6). 1617–1617. 6 indexed citations
11.
Hong, Yongsheng, Jonathan Sanderman, Tomislav Hengl, et al.. (2023). Potential of globally distributed topsoil mid-infrared spectral library for organic carbon estimation. CATENA. 235. 107628–107628. 14 indexed citations
12.
Chen, Songchao, Fang Liu, & Yuanan Liu. (2023). Sum Rate Maximization for Intelligent Reflecting Surface-Assisted UAV-Enabled NOMA Network. Electronics. 12(17). 3616–3616. 2 indexed citations
13.
Zhang, Xianglin, Jie Xue, Yi Xiao, Zhou Shi, & Songchao Chen. (2023). Towards Optimal Variable Selection Methods for Soil Property Prediction Using a Regional Soil Vis-NIR Spectral Library. Remote Sensing. 15(2). 465–465. 31 indexed citations
14.
Chen, Songchao, Christophe Calvaruso, Florian Schneider, et al.. (2023). A new approach to estimate soil organic carbon content targets in European croplands topsoils. The Science of The Total Environment. 900. 165811–165811. 9 indexed citations
15.
Wang, Jiawen, Bifeng Hu, Songchao Chen, et al.. (2023). A novel framework for improving soil organic matter prediction accuracy in cropland by integrating soil, vegetation and human activity information. The Science of The Total Environment. 903. 166112–166112. 17 indexed citations
16.
Zhao, Xu, et al.. (2023). Energy-Efficient Power Allocation for Full-Duplex Device-to-Device Underlaying Cellular Networks with NOMA. Electronics. 12(16). 3433–3433. 3 indexed citations
17.
Zhang, Xianglin, Jie Xue, Songchao Chen, et al.. (2023). Fine Resolution Mapping of Soil Organic Carbon in Croplands with Feature Selection and Machine Learning in Northeast Plain China. Remote Sensing. 15(20). 5033–5033. 5 indexed citations
18.
Zhang, Xianglin, Songchao Chen, Jie Xue, et al.. (2023). Improving model parsimony and accuracy by modified greedy feature selection in digital soil mapping. Geoderma. 432. 116383–116383. 41 indexed citations
19.
Richer-De-Forges, Anne C, Qianqian Chen, Nicolas Baghdadi, et al.. (2023). Remote Sensing Data for Digital Soil Mapping in French Research—A Review. Remote Sensing. 15(12). 3070–3070. 24 indexed citations
20.
Lan, Weijie, Benoît Jaillais, Catherine M.G.C. Renard, et al.. (2021). A method using near infrared hyperspectral imaging to highlight the internal quality of apple fruit slices. Postharvest Biology and Technology. 175. 111497–111497. 48 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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