Qinghu Jiang

989 total citations
23 papers, 783 citations indexed

About

Qinghu Jiang is a scholar working on Environmental Engineering, Ecology and Soil Science. According to data from OpenAlex, Qinghu Jiang has authored 23 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Environmental Engineering, 8 papers in Ecology and 8 papers in Soil Science. Recurrent topics in Qinghu Jiang's work include Soil Geostatistics and Mapping (10 papers), Soil Carbon and Nitrogen Dynamics (7 papers) and Geochemistry and Geologic Mapping (6 papers). Qinghu Jiang is often cited by papers focused on Soil Geostatistics and Mapping (10 papers), Soil Carbon and Nitrogen Dynamics (7 papers) and Geochemistry and Geologic Mapping (6 papers). Qinghu Jiang collaborates with scholars based in China, United States and Denmark. Qinghu Jiang's co-authors include Yiyun Chen, Long Guo, Feng Liu, Tiezhu Shi, Yaolin Liu, Teng Fei, Marc Linderman, Guilin Liu, Kun Qi and Haitao Zhang and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Journal of Hydrology.

In The Last Decade

Qinghu Jiang

21 papers receiving 773 citations

Peers

Qinghu Jiang

ECOLO

Alexandre ten Caten Brazil

Dexiong Teng China

Guillaume Coulouma France

Gustavo M. Vasques Brazil

Daniel Žížala Czechia

Raúl Roberto Poppiel Brazil

Wang Zhou United States

L. E. Vicente Brazil

Peterson Ricardo Fiorio Brazil

Alexandre ten Caten Brazil

Qinghu Jiang

638 ×1.4

248 ×0.8

ECOLO

357 ×1.2

229 ×1.2

225 ×1.5

Citations per year, relative to Qinghu Jiang Qinghu Jiang (= 1×) peers Alexandre ten Caten

Countries citing papers authored by Qinghu Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Qinghu Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinghu Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Qinghu Jiang. A scholar is included among the top collaborators of Qinghu Jiang 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 Qinghu Jiang. Qinghu Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Xiaochen, et al.. (2025). A novel method for ULS-TLS forest point cloud registration based on height context descriptor. Forest Ecosystems. 14. 100369–100369.

Jiang, Qinghu, et al.. (2025). Effect of catchment characteristics and water physicochemical parameters on nitrogen and phosphorus concentrations in streams and small reservoirs. Journal of Environmental Management. 395. 127796–127796.

Zhao, Xiaoxiang, Qiuxiang Tian, Anders Michelsen, et al.. (2024). Global pattern in terrestrial leaf litter decomposition: The effects of climate, litter chemistry, life form, growth form and mycorrhizal association. Agricultural and Forest Meteorology. 362. 110368–110368. 1 indexed citations

Liu, Feng, Cheng Chen, Qiuwen Chen, et al.. (2024). A holistic approach to projecting streamflow and analyzing changes in ecologically relevant hydrological indicators under climate and land use/cover change. Journal of Hydrology. 632. 130863–130863. 7 indexed citations

Chen, Yihao, Jiwei Li, Qingqing Ye, et al.. (2024). A spatiotemporal analysis framework of the ecological security pattern based on the ecological “source–surface–corridor” and its implications. Frontiers in Ecology and Evolution. 12. 1 indexed citations

Tian, Qiuxiang, Qinghu Jiang, Rudong Zhao, et al.. (2023). Microbial properties control soil priming and exogenous carbon incorporation along an elevation gradient. Geoderma. 431. 116343–116343. 6 indexed citations

Tian, Qiuxiang, et al.. (2022). Vertical Distribution of Soil Bacterial Communities in Different Forest Types Along an Elevation Gradient. Microbial Ecology. 85(2). 628–641. 18 indexed citations

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

Jiang, Qinghu, et al.. (2020). Spatial pattern of soil erodibility factor (K) as affected by ecological restoration in a typical degraded watershed of central China. The Science of The Total Environment. 749. 141609–141609. 40 indexed citations

10.

Jiang, Qinghu, et al.. (2020). Use of Visible and Near-Infrared Reflectance Spectroscopy Models to Determine Soil Erodibility Factor (K) in an Ecologically Restored Watershed. Remote Sensing. 12(18). 3103–3103. 9 indexed citations

11.

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

12.

Guo, Long, Haitao Zhang, Tiezhu Shi, et al.. (2018). Prediction of soil organic carbon stock by laboratory spectral data and airborne hyperspectral images. Geoderma. 337. 32–41. 83 indexed citations

13.

Jiang, Qinghu, Qianxi Li, Wang Xing-gang, et al.. (2017). Estimation of soil organic carbon and total nitrogen in different soil layers using VNIR spectroscopy: Effects of spiking on model applicability. Geoderma. 293. 54–63. 68 indexed citations

14.

Jiang, Qinghu, Minxia Liu, Jun Wang, & Feng Liu. (2017). Feasibility of using visible and near-infrared reflectance spectroscopy to monitor heavy metal contaminants in urban lake sediment. CATENA. 162. 72–79. 44 indexed citations

15.

Jiang, Qinghu, Yiyun Chen, Long Guo, Teng Fei, & Kun Qi. (2016). Estimating Soil Organic Carbon of Cropland Soil at Different Levels of Soil Moisture Using VIS-NIR Spectroscopy. Remote Sensing. 8(9). 755–755. 71 indexed citations

16.

Chen, Yiyun, et al.. (2015). [Transferability of Hyperspectral Model for Estimating Soil Organic Matter Concerned with Soil Moisture].. PubMed. 35(6). 1705–8. 10 indexed citations

17.

Qiao, Xiujuan, Qianxi Li, Qinghu Jiang, et al.. (2015). Beta diversity determinants in Badagongshan, a subtropical forest in central China. Scientific Reports. 5(1). 17043–17043. 54 indexed citations

18.

Liu, Guilin, et al.. (2014). Spatio–Temporal Dynamics of Wetland Landscape Patterns Based on Remote Sensing in Yellow River Delta, China. Wetlands. 34(4). 787–801. 68 indexed citations

19.

Liu, Yaolin, Qinghu Jiang, Tiezhu Shi, et al.. (2014). Prediction of total nitrogen in cropland soil at different levels of soil moisture with Vis/NIR spectroscopy. Acta Agriculturae Scandinavica Section B - Soil & Plant Science. 64(3). 267–281. 22 indexed citations

20.

Jiang, Qinghu. (2012). Study on evolution of urban lakes in Wuhan based on RS/GIS. Soil and Environmental Sciences. 7 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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