Dongyun Xu

1.6k total citations · 1 hit paper
34 papers, 1.2k citations indexed

About

Dongyun Xu is a scholar working on Environmental Engineering, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Dongyun Xu has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Environmental Engineering, 18 papers in Artificial Intelligence and 10 papers in Analytical Chemistry. Recurrent topics in Dongyun Xu's work include Soil Geostatistics and Mapping (20 papers), Geochemistry and Geologic Mapping (17 papers) and Spectroscopy and Chemometric Analyses (10 papers). Dongyun Xu is often cited by papers focused on Soil Geostatistics and Mapping (20 papers), Geochemistry and Geologic Mapping (17 papers) and Spectroscopy and Chemometric Analyses (10 papers). Dongyun Xu collaborates with scholars based in China, France and United States. Dongyun Xu's co-authors include Zhou Shi, Songchao Chen, Bifeng Hu, Jie Hu, Fang Xia, Yan Li, Xiaolin Jia, Yin Zhou, Meihua Yang and Qingsong Jiang and has published in prestigious journals such as The Science of The Total Environment, Environmental Pollution and Journal of Environmental Management.

In The Last Decade

Dongyun Xu

25 papers receiving 1.2k citations

Hit Papers

Assessment of Heavy Metal Pollution and Health Risks in t... 2017 2026 2020 2023 2017 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
Dongyun Xu China 15 595 494 353 308 192 34 1.2k
Radim Vašát Czechia 22 852 1.4× 709 1.4× 271 0.8× 342 1.1× 247 1.3× 48 1.4k
José M. Soriano‐Disla Spain 16 738 1.2× 499 1.0× 249 0.7× 368 1.2× 137 0.7× 36 1.3k
Jie Xue China 17 460 0.8× 241 0.5× 310 0.9× 127 0.4× 203 1.1× 33 1.1k
Kingsley John Czechia 19 362 0.6× 329 0.7× 300 0.8× 60 0.2× 102 0.5× 61 847
Xiaolin Jia China 10 218 0.4× 355 0.7× 543 1.5× 127 0.4× 63 0.3× 13 944
Sharon O’Rourke Ireland 13 437 0.7× 293 0.6× 119 0.3× 148 0.5× 206 1.1× 22 874
Guo Xi China 19 322 0.5× 202 0.4× 144 0.4× 146 0.5× 227 1.2× 70 1.1k
Ndiye Michael Kebonye Czechia 17 347 0.6× 325 0.7× 276 0.8× 51 0.2× 90 0.5× 47 778
Prince Chapman Agyeman Czechia 16 318 0.5× 294 0.6× 241 0.7× 60 0.2× 91 0.5× 40 666
Long Guo China 22 1.0k 1.7× 650 1.3× 118 0.3× 292 0.9× 499 2.6× 43 1.5k

Countries citing papers authored by Dongyun Xu

Since Specialization
Citations

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

Fields of papers citing papers by Dongyun Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongyun Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Dongyun Xu. A scholar is included among the top collaborators of Dongyun Xu 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 Dongyun Xu. Dongyun Xu 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.
Xu, Dongyun, et al.. (2026). A novel sample selection strategy for instance-based transfer learning in local soil organic carbon estimation. Soil and Tillage Research. 259. 107065–107065.
2.
Li, Meixuan, Xicun Zhu, Xinyang Yu, et al.. (2025). Nitrogen content estimation of apple trees based on simulated satellite remote sensing data. Frontiers in Plant Science. 16. 1613487–1613487.
3.
Fang, Ting, et al.. (2025). Improved QEPAS sensor based on quartz tuning fork shell enhancement. Infrared Physics & Technology. 151. 106147–106147.
4.
Xu, Linguang, et al.. (2025). Calibration-free quartz tuning fork enhanced laser spectroscopy for trace gas detection. Sensors and Actuators B Chemical. 447. 138854–138854.
5.
Xu, Linguang, et al.. (2025). Neural network optimization algorithms for high-precision TDLAS gas spectroscopic detection. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 343. 126596–126596.
6.
Li, Xinju, et al.. (2024). High-resolution estimation of PM2.5 concentrations across China using multiple machine learning approaches and model fusion. Atmospheric Pollution Research. 15(6). 102110–102110. 7 indexed citations
7.
Chen, Wei, Zhiyuan Liu, Yihang Guo, et al.. (2024). Comprehensive assessment of matcha qualities and visualization of constituents using hyperspectral imaging technology. Food Research International. 196. 115110–115110. 4 indexed citations
8.
Yang, Meihua, Songchao Chen, Dongyun Xu, et al.. (2024). Removing the moisture effect on predicting soil organic matter using vis-NIR spectroscopy with external parameter orthogonalization. Geoderma Regional. 37. e00797–e00797. 6 indexed citations
10.
Wang, Nan, Dongyun Xu, Jie Xue, et al.. (2023). Delineation and optimization of cotton farmland management zone based on time series of soil-crop properties at landscape scale in south Xinjiang, China. Soil and Tillage Research. 231. 105744–105744. 9 indexed citations
11.
Song, Wen, et al.. (2023). Effect of filling materials on reconstructed soil phosphorus adsorption and desorption in mining area. Soil and Tillage Research. 235. 105895–105895. 14 indexed citations
12.
Yang, Meihua, Songchao Chen, Dongyun Xu, et al.. (2023). Strategies for predicting soil organic matter in the field using the Chinese Vis-NIR soil spectral library. Geoderma. 433. 116461–116461. 18 indexed citations
13.
Xu, Dongyun, et al.. (2022). Changes in total organic carbon and organic carbon fractions of reclaimed minesoils in response to the filling of different substrates. Journal of Environmental Management. 312. 114928–114928. 17 indexed citations
15.
Xu, Hanyi, Dongyun Xu, Songchao Chen, Wanzhu Ma, & Zhou Shi. (2020). Rapid Determination of Soil Class Based on Visible-Near Infrared, Mid-Infrared Spectroscopy and Data Fusion. Remote Sensing. 12(9). 1512–1512. 35 indexed citations
16.
Xu, Dongyun, Songchao Chen, Hanyi Xu, et al.. (2020). Data fusion for the measurement of potentially toxic elements in soil using portable spectrometers. Environmental Pollution. 263(Pt A). 114649–114649. 56 indexed citations
17.
Chen, Songchao, Dongyun Xu, Shuo Li, et al.. (2019). Monitoring soil organic carbon in alpine soils using in situ vis‐NIR spectroscopy and a multilayer perceptron. Land Degradation and Development. 31(8). 1026–1038. 50 indexed citations
18.
Chen, Songchao, Shuo Li, Wenqi Ma, et al.. (2018). Rapid determination of soil classes in soil profiles using vis–NIR spectroscopy and multiple objectives mixed support vector classification. European Journal of Soil Science. 70(1). 42–53. 25 indexed citations
19.
Hu, Bifeng, Xiaolin Jia, Jie Hu, et al.. (2017). Assessment of Heavy Metal Pollution and Health Risks in the Soil-Plant-Human System in the Yangtze River Delta, China. International Journal of Environmental Research and Public Health. 14(9). 1042–1042. 365 indexed citations breakdown →
20.
Liu, Ziyu, et al.. (2008). Research on Semantic Retrieval System for High-Speed Railway Knowledge Based on Ontology. 303–307. 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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