Long Guo

1.9k total citations
43 papers, 1.5k citations indexed

About

Long Guo is a scholar working on Environmental Engineering, Artificial Intelligence and Ecology. According to data from OpenAlex, Long Guo has authored 43 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Environmental Engineering, 24 papers in Artificial Intelligence and 17 papers in Ecology. Recurrent topics in Long Guo's work include Soil Geostatistics and Mapping (27 papers), Geochemistry and Geologic Mapping (24 papers) and Remote Sensing in Agriculture (16 papers). Long Guo is often cited by papers focused on Soil Geostatistics and Mapping (27 papers), Geochemistry and Geologic Mapping (24 papers) and Remote Sensing in Agriculture (16 papers). Long Guo collaborates with scholars based in China, United States and Belgium. Long Guo's co-authors include Yiyun Chen, Tiezhu Shi, Yaolin Liu, Marc Linderman, Qinghu Jiang, Tiezhu Shi, Shanqin Wang, Yongsheng Hong, Peng Fu and Haitao Zhang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Long Guo

41 papers receiving 1.5k citations

Peers

Long Guo
Yongsheng Hong China
Zipeng Zhang China
Tiezhu Shi China
Xinle Zhang China
Radim Vašát Czechia
Said Nawar Belgium
Rodnei Rizzo Brazil
Johanna Wetterlind Sweden
Shanqin Wang China
Shengxiang Xu China
Yongsheng Hong China
Long Guo
Citations per year, relative to Long Guo Long Guo (= 1×) peers Yongsheng Hong

Countries citing papers authored by Long Guo

Since Specialization
Citations

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

Fields of papers citing papers by Long Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Long Guo. A scholar is included among the top collaborators of Long Guo 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 Long Guo. Long Guo 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
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Liu, Shuyu, et al.. (2023). Prediction of soil organic carbon in soil profiles based on visible–near-infrared hyperspectral imaging spectroscopy. Soil and Tillage Research. 232. 105736–105736. 16 indexed citations
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Du, Jiaqiang, et al.. (2022). Long-term detection and spatiotemporal variation analysis of open-surface water bodies in the Yellow River Basin from 1986 to 2020. The Science of The Total Environment. 845. 157152–157152. 23 indexed citations
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Li, He, Long Guo, Mengdi Wang, et al.. (2022). Digital mapping of soil organic carbon density using newly developed bare soil spectral indices and deep neural network. CATENA. 219. 106603–106603. 34 indexed citations
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Hong, Yongsheng, Yiyun Chen, Songchao Chen, et al.. (2022). Data mining of urban soil spectral library for estimating organic carbon. Geoderma. 426. 116102–116102. 33 indexed citations
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Shi, Tiezhu, Long Guo, Wei Tu, et al.. (2021). Digital mapping of zinc in urban topsoil using multisource geospatial data and random forest. The Science of The Total Environment. 792. 148455–148455. 48 indexed citations
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Guo, Long, Xiaoru Sun, Peng Fu, et al.. (2021). Mapping soil organic carbon stock by hyperspectral and time-series multispectral remote sensing images in low-relief agricultural areas. Geoderma. 398. 115118–115118. 122 indexed citations
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Hong, Yongsheng, Yiyun Chen, Ruili Shen, et al.. (2021). Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy. Environmental Pollution. 291. 118128–118128. 39 indexed citations
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Hong, Yongsheng, Songchao Chen, Yiyun Chen, et al.. (2020). Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest. Soil and Tillage Research. 199. 104589–104589. 97 indexed citations
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Shi, Tiezhu, Chao Yang, Huizeng Liu, et al.. (2020). Mapping lead concentrations in urban topsoil using proximal and remote sensing data and hybrid statistical approaches. Environmental Pollution. 272. 116041–116041. 21 indexed citations
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Xu, Lu, Yongsheng Hong, Long Guo, et al.. (2020). Estimation of Organic Carbon in Anthropogenic Soil by VIS-NIR Spectroscopy: Effect of Variable Selection. Remote Sensing. 12(20). 3394–3394. 33 indexed citations
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Yang, Shunhua, Haitao Zhang, Chuanrong Zhang, et al.. (2019). Predicting soil organic matter content in a plain-to-hill transition belt using geographically weighted regression with stratification. Archives of Agronomy and Soil Science. 65(12). 1745–1757. 5 indexed citations
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Hong, Yongsheng, Ruili Shen, Hang Cheng, et al.. (2019). Cadmium concentration estimation in peri-urban agricultural soils: Using reflectance spectroscopy, soil auxiliary information, or a combination of both?. Geoderma. 354. 113875–113875. 60 indexed citations
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Guo, Long, et al.. (2018). [Spatial interpolation model of soil organic carbon density considering land-use and spatial heterogeneity.]. PubMed. 29(1). 238–246. 4 indexed citations
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Shi, Tiezhu, Zhongwen Hu, Zhou Shi, et al.. (2018). Geo-detection of factors controlling spatial patterns of heavy metals in urban topsoil using multi-source data. The Science of The Total Environment. 643. 451–459. 82 indexed citations
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Guo, Long, Chang Zhao, Haitao Zhang, et al.. (2016). Comparisons of spatial and non-spatial models for predicting soil carbon content based on visible and near-infrared spectral technology. Geoderma. 285. 280–292. 51 indexed citations
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Yang, Shunhua, Haitao Zhang, Jiaying Chen, et al.. (2015). The spatial variability of soil organic carbon in plain-hills transition belt and its environmental impact.. China Environmental Science. 35(12). 3728–3736. 2 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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