Luping Ye

1.0k total citations · 1 hit paper
21 papers, 825 citations indexed

About

Luping Ye is a scholar working on Soil Science, Ecology and Environmental Engineering. According to data from OpenAlex, Luping Ye has authored 21 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Soil Science, 8 papers in Ecology and 7 papers in Environmental Engineering. Recurrent topics in Luping Ye's work include Microbial Community Ecology and Physiology (6 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and Soil Geostatistics and Mapping (4 papers). Luping Ye is often cited by papers focused on Microbial Community Ecology and Physiology (6 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and Soil Geostatistics and Mapping (4 papers). Luping Ye collaborates with scholars based in China, United Kingdom and France. Luping Ye's co-authors include Wenfeng Tan, Linchuan Fang, Yuyi Yang, Wenjie Wan, Xingchang Zhang, Yongxing Cui, Wenzhi Liu, Geoffrey Michael Gadd, Wenke Yuan and Ji‐Dong Gu and has published in prestigious journals such as The Science of The Total Environment, Water Research and Molecular Ecology.

In The Last Decade

Luping Ye

20 papers receiving 815 citations

Hit Papers

Ecoenzymatic stoichiometry reveals widespread soil phosph... 2022 2026 2023 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luping Ye China 12 444 401 137 124 114 21 825
Shengli Guo China 17 598 1.3× 318 0.8× 213 1.6× 60 0.5× 104 0.9× 65 938
Grace Pold United States 10 458 1.0× 365 0.9× 113 0.8× 68 0.5× 173 1.5× 14 753
Yaxian Hu China 20 698 1.6× 314 0.8× 133 1.0× 48 0.4× 115 1.0× 57 940
Zhijing Xue China 14 599 1.3× 303 0.8× 115 0.8× 44 0.4× 79 0.7× 24 810
Xiaoli Cheng China 19 865 1.9× 577 1.4× 218 1.6× 75 0.6× 115 1.0× 37 1.2k
Zhongqing Yan China 18 415 0.9× 496 1.2× 187 1.4× 86 0.7× 139 1.2× 50 889
Yo Toma Japan 18 395 0.9× 254 0.6× 230 1.7× 54 0.4× 185 1.6× 60 998
Guangyu Zhu China 18 883 2.0× 491 1.2× 244 1.8× 63 0.5× 179 1.6× 29 1.3k
Xiaohua Wan China 13 506 1.1× 359 0.9× 242 1.8× 60 0.5× 137 1.2× 29 864
Abad Chabbi France 10 396 0.9× 310 0.8× 158 1.2× 90 0.7× 62 0.5× 18 726

Countries citing papers authored by Luping Ye

Since Specialization
Citations

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

Fields of papers citing papers by Luping Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luping Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Luping Ye. A scholar is included among the top collaborators of Luping Ye 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 Luping Ye. Luping Ye 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.
2.
Ye, Luping, Rui Zhang, Yong Zheng, et al.. (2025). Digital mapping of soil inorganic carbon content and density in soil profiles after ‘Grain for Green’ program. International Soil and Water Conservation Research. 13(3). 656–674. 1 indexed citations
3.
Zheng, Yong, Xue Jiang, Rui Guo, et al.. (2023). Impact of remaining roots on soil nematode communities in an aboveground plant functional group removal experiment. Plant and Soil. 498(1-2). 213–224. 1 indexed citations
4.
Wan, Wenjie, Geoffrey Michael Gadd, Donglan He, et al.. (2022). Abundance and diversity of eukaryotic rather than bacterial community relate closely to the trophic level of urban lakes. Environmental Microbiology. 25(3). 661–674. 12 indexed citations
5.
Cui, Yongxing, Daryl Moorhead, Manuel Delgado‐Baquerizo, et al.. (2022). Ecoenzymatic stoichiometry reveals widespread soil phosphorus limitation to microbial metabolism across Chinese forests. Communications Earth & Environment. 3(1). 105 indexed citations breakdown →
6.
Li, Fan, et al.. (2022). Community characteristics of macroinvertebrates in woody debris in a subtropical forest in Badagongshan, China. Biodiversity Science. 30(12). 21476–21476. 1 indexed citations
7.
Dossa, Gbadamassi G. O., Luping Ye, Douglas Schaefer, et al.. (2022). Fauna access outweighs litter mixture effect during leaf litter decomposition. The Science of The Total Environment. 860. 160190–160190. 17 indexed citations
8.
9.
Wan, Wenjie, Donglan He, Xiang Li, et al.. (2021). Linking rare and abundant phoD-harboring bacteria with ecosystem multifunctionality in subtropical forests: From community diversity to environmental adaptation. The Science of The Total Environment. 796. 148943–148943. 24 indexed citations
10.
Wan, Wenjie, Geoffrey Michael Gadd, Ji‐Dong Gu, et al.. (2021). Dredging alleviates cyanobacterial blooms by weakening diversity maintenance of bacterioplankton community. Water Research. 202. 117449–117449. 46 indexed citations
11.
Bohrer, Gil, Pierre Gentine, Luping Ye, et al.. (2021). Site Characteristics Mediate the Relationship Between Forest Productivity and Satellite Measured Solar Induced Fluorescence. Frontiers in Forests and Global Change. 4. 7 indexed citations
12.
Wan, Wenjie, Donglan He, Xiang Li, et al.. (2021). Adaptation of phoD-harboring bacteria to broader environmental gradients at high elevations than at low elevations in the Shennongjia primeval forest. Geoderma. 401. 115210–115210. 24 indexed citations
13.
Wan, Wenjie, Geoffrey Michael Gadd, Yuyi Yang, et al.. (2021). Environmental adaptation is stronger for abundant rather than rare microorganisms in wetland soils from the Qinghai‐Tibet Plateau. Molecular Ecology. 30(10). 2390–2403. 135 indexed citations
14.
Ye, Luping, et al.. (2019). Spatial analysis of soil aggregate stability in a small catchment of the Loess Plateau, China: II. Spatial prediction. Soil and Tillage Research. 192. 1–11. 32 indexed citations
15.
Cui, Yongxing, Linchuan Fang, Xiaobin Guo, et al.. (2018). Natural grassland as the optimal pattern of vegetation restoration in arid and semi-arid regions: Evidence from nutrient limitation of soil microbes. The Science of The Total Environment. 648. 388–397. 219 indexed citations
16.
Ye, Luping, et al.. (2018). Spatial analysis of soil aggregate stability in a small catchment of the Loess Plateau, China: I. Spatial variability. Soil and Tillage Research. 179. 71–81. 79 indexed citations
17.
Ye, Luping, Linchuan Fang, Zhihua Shi, Lei Deng, & Wenfeng Tan. (2018). Spatio-temporal dynamics of soil moisture driven by ‘Grain for Green’ program on the Loess Plateau, China. Agriculture Ecosystems & Environment. 269. 204–214. 75 indexed citations
18.
Ye, Luping, Linchuan Fang, Wenfeng Tan, Changguang Wu, & Hao Wu. (2016). Modeling spatiotemporal distribution of PM10 using HJ-1 CCD data in Luoyang, China. Atmospheric Pollution Research. 8(3). 555–563. 1 indexed citations
19.
Ye, Luping, Linchuan Fang, Wenfeng Tan, Yunqiang Wang, & Yu Huang. (2015). Exploring the effects of landscape structure on aerosol optical depth (AOD) patterns using GIS and HJ-1B images. Environmental Science Processes & Impacts. 18(2). 265–276. 8 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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