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Fupeng Li

Biographic Data

ID9673232
NAMEFupeng Li
GIVEN NAMESFupeng
FAMILY NAMELi
SIGNATURELI F
AFFILIATIONSCollege of Resources and Environmental Engineering Guizhou University Guiyang Guizhou China
ORCID0000-0002-3329-1989
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Synergistic Regulation of Soil Enzymes and Microbial Communities by Biochar‐Supported Nano‐Hydroxyapatite Under Cadmium Stress

    Open Access•Caidan Ding, Lichun Wu et al.•ARTICLE•Land Degradation and Development•2026

    Biochar has been globally recognized as an effective amendment for enhancing soil fertility and mitigating climate change, but its improvement of microbial communities and enzyme activities remains limited. Soil incubation experiments were conducted using nano‐hydroxyapatite (nHAP)‐modified biochars derived from corn straw, sawdust, and rice straw. The objective was to investigate changes in microbial community structure, composition, and soil en…

  • Investigation of Epistemic Equity in Urban Green Space and Mental Health Research

    Open Access•Qin Huang, Kun Liu et al.•ARTICLE•International Journal of…•2026

    Urban public green spaces are widely recognized for having positive effects on mental health, yet existing research shows imbalances in subjects and methodologies. Most studies examine healthy adults and self-reported indicators, giving limited attention to vulnerable populations; this may have led to a gap in evidence regarding "who is represented and who is overlooked." This study systematically reviewed 235 empirical papers published in 2004-2…

  • Multiple Environmental Variables as Covariates to Improve the Accuracy of Spatial Prediction Models for SOM on Karst Aera

    Open Access•Yongcheng Jiang, Fupeng Li et al.•ARTICLE•Land Degradation and Development•2025

    Aims accurately predicting the spatial distribution of soil organic matter (SOM) is essential for environmental management and carbon storage estimation. However, the diversity of sources of variables poses a challenge in studying the spatial distribution of SOM. Methods in order to address this issue, we propose leveraging multiple environmental variables and employing machine learning models, specifically Lightweight gradient boosting machine l…

  • Analysis of the Communication Effectiveness and Construction Optimization of WeChat Public Numbers of Chinese Kindergartens in the Context of Big Data Era

    Open Access•Fupeng Li•ARTICLE•Academic Journal of Humanities &…•2023

    In the context of Internet+, big data and artificial intelligence, the use of mobile terminals and online platforms is increasing, and the communication effect of WeChat public platforms is becoming more and more effective. The WCIs of the "kindergarten" type of Wechat public platforms are all integrated with kindergartens, covering family, community, kindergarten and other related fields, and covering theoretical and practical knowledge related …

No prominent works on this page.

  • Analysis of the Communication Effectiveness and Construction Optimization of WeChat Public Numbers of Chinese Kindergartens in the Context of Big Data Era

    Open Access•Fupeng Li•ARTICLE•Academic Journal of Humanities &…•2023

    In the context of Internet+, big data and artificial intelligence, the use of mobile terminals and online platforms is increasing, and the communication effect of WeChat public platforms is becoming more and more effective. The WCIs of the "kindergarten" type of Wechat public platforms are all integrated with kindergartens, covering family, community, kindergarten and other related fields, and covering theoretical and practical knowledge related …

  • Multiple Environmental Variables as Covariates to Improve the Accuracy of Spatial Prediction Models for SOM on Karst Aera

    Open Access•Yongcheng Jiang, Fupeng Li et al.•ARTICLE•Land Degradation and Development•2025

    Aims accurately predicting the spatial distribution of soil organic matter (SOM) is essential for environmental management and carbon storage estimation. However, the diversity of sources of variables poses a challenge in studying the spatial distribution of SOM. Methods in order to address this issue, we propose leveraging multiple environmental variables and employing machine learning models, specifically Lightweight gradient boosting machine l…

  • Synergistic Regulation of Soil Enzymes and Microbial Communities by Biochar‐Supported Nano‐Hydroxyapatite Under Cadmium Stress

    Open Access•Caidan Ding, Lichun Wu et al.•ARTICLE•Land Degradation and Development•2026

    Biochar has been globally recognized as an effective amendment for enhancing soil fertility and mitigating climate change, but its improvement of microbial communities and enzyme activities remains limited. Soil incubation experiments were conducted using nano‐hydroxyapatite (nHAP)‐modified biochars derived from corn straw, sawdust, and rice straw. The objective was to investigate changes in microbial community structure, composition, and soil en…

  • Investigation of Epistemic Equity in Urban Green Space and Mental Health Research

    Open Access•Qin Huang, Kun Liu et al.•ARTICLE•International Journal of…•2026

    Urban public green spaces are widely recognized for having positive effects on mental health, yet existing research shows imbalances in subjects and methodologies. Most studies examine healthy adults and self-reported indicators, giving limited attention to vulnerable populations; this may have led to a gap in evidence regarding "who is represented and who is overlooked." This study systematically reviewed 235 empirical papers published in 2004-2…

Computer Science (2 works) · Acid phosphatase (1 work) · Amendment (1 work) · Artificial Intelligence (1 work) · Big data (1 work) · Biochar (1 work) · Child Development and Digital Technology (1 work) · China (1 work) · Chromium effects and bioremediation (1 work) · Cluster analysis (1 work)

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