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Xiaoyong Chen

Biographic Data

ID7946466
NAMEXiaoyong Chen
GIVEN NAMESXiaoyong
FAMILY NAMEChen
SIGNATURECHEN X
AFFILIATIONSMinistry of Natural Resources
ORCID0000-0003-0810-9863
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS0
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Microbial Necromass Nitrogen Accumulation and Its Response to Soil Multifunctionality Following Plantation Restoration in a Subtropical Karst Region

    Open Access•Junjie Lei, Yuanying Peng et al.•ARTICLE•Land Degradation and Development•2025

    Microbial necromass nitrogen (MNN) is increasingly recognized as a major source of soil N, playing a crucial role in N sequestration and sustaining N balance. However, quantitative data on the contribution of MNN to total N and its relationship with soil multifunctionality (SMF) in karst plantation ecosystems remain lacking. In this study, MNN (measured via amino sugar analysis) and SMF (calculated using the mean value method) were determined acr…

  • Legume biological nitrogen fixation improves but chemical nitrogen fertilizer suppresses soil nematode communities in a Camellia oleifera plantation

    Open Access•Jiachen Wang, Hailun Wang et al.•ARTICLE•Land Degradation and Development•2023

    Legume intercropping by biological nitrogen (N) fixation is supposed as a more sustainable way than chemical N addition to enhance soil N availability in agronomy, however, the effects of the two types of N input on soil food web are scarcely determined. To fill the knowledge gap, we conducted a field experiment with randomized block design in an oil‐tea ( Camellia oleifera ) plantation, which included five N manipulation treatment: legume interc…

  • Global, regional, and national burden and attributable risk factors of neurological disorders

    Open Access•Chenyu Ding, Yuying Wu et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Neurological disorders are a major and increasing global health challenge, which accounts for a substantial portion of the disease burden worldwide. The aim of this systematic analysis is to present the most comprehensive and up-to-date estimates of disease burden, epidemiological trends, and attributable risk factors of neurological disorders at global, regional, and national levels. Methods: We extracted data of 18 neurological diso…

  • Sit

    Open Access•Xiaolong Li, Jing Xia et al.•ARTICLE•ISPRS International Journal of…•2022

    Trajectory prediction is one of the core functions of autonomous driving. Modeling spatial-aware interactions and temporal motion patterns for observed vehicles are critical for accurate trajectory prediction. Most recent works on trajectory prediction utilize recurrent neural networks (RNNs) to model temporal patterns and usually need convolutional neural networks (CNNs) additionally to capture spatial interactions. Although Transformer, a multi…

  • Efficient Coarse Registration of Pairwise TLS Point Clouds Using Ortho Projected Feature Images

    Open Access•Hua Liu, Xiaoming Zhang et al.•ARTICLE•ISPRS International Journal of…•2020

    The degree of automation and efficiency are among the most important factors that influence the availability of Terrestrial light detection and ranging (LiDAR) Scanning (TLS) registration algorithms. This paper proposes an Ortho Projected Feature Images (OPFI) based 4 Degrees of Freedom (DOF) coarse registration method, which is fully automated and with high efficiency, for TLS point clouds acquired using leveled or inclination compensated LiDAR …

  • Enhanced Removal of Antibiotic in Wastewater Using Liquid Nitrogen-Treated Carbon Material

    Open Access•Yaohui Wu, Wen Liu et al.•ARTICLE•International Journal of…•2018

    Antibiotic residues in the aquatic environment have become a global problem posing a serious threat to the environment and an inherent health risk to human beings. In this study, experiments were carried to investigate the use of carbon material modified by liquid nitrogen treatment (CM1) and carbon material unmodified by liquid nitrogen treatment (CM2) as adsorbents for the removal of the antibiotic ampicillin from aqueous solutions. The propert…

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  • Enhanced Removal of Antibiotic in Wastewater Using Liquid Nitrogen-Treated Carbon Material

    Open Access•Yaohui Wu, Wen Liu et al.•ARTICLE•International Journal of…•2018

    Antibiotic residues in the aquatic environment have become a global problem posing a serious threat to the environment and an inherent health risk to human beings. In this study, experiments were carried to investigate the use of carbon material modified by liquid nitrogen treatment (CM1) and carbon material unmodified by liquid nitrogen treatment (CM2) as adsorbents for the removal of the antibiotic ampicillin from aqueous solutions. The propert…

  • Efficient Coarse Registration of Pairwise TLS Point Clouds Using Ortho Projected Feature Images

    Open Access•Hua Liu, Xiaoming Zhang et al.•ARTICLE•ISPRS International Journal of…•2020

    The degree of automation and efficiency are among the most important factors that influence the availability of Terrestrial light detection and ranging (LiDAR) Scanning (TLS) registration algorithms. This paper proposes an Ortho Projected Feature Images (OPFI) based 4 Degrees of Freedom (DOF) coarse registration method, which is fully automated and with high efficiency, for TLS point clouds acquired using leveled or inclination compensated LiDAR …

  • Global, regional, and national burden and attributable risk factors of neurological disorders

    Open Access•Chenyu Ding, Yuying Wu et al.•ARTICLE•Frontiers in Public Health•2022

    Background: Neurological disorders are a major and increasing global health challenge, which accounts for a substantial portion of the disease burden worldwide. The aim of this systematic analysis is to present the most comprehensive and up-to-date estimates of disease burden, epidemiological trends, and attributable risk factors of neurological disorders at global, regional, and national levels. Methods: We extracted data of 18 neurological diso…

  • Sit

    Open Access•Xiaolong Li, Jing Xia et al.•ARTICLE•ISPRS International Journal of…•2022

    Trajectory prediction is one of the core functions of autonomous driving. Modeling spatial-aware interactions and temporal motion patterns for observed vehicles are critical for accurate trajectory prediction. Most recent works on trajectory prediction utilize recurrent neural networks (RNNs) to model temporal patterns and usually need convolutional neural networks (CNNs) additionally to capture spatial interactions. Although Transformer, a multi…

  • Legume biological nitrogen fixation improves but chemical nitrogen fertilizer suppresses soil nematode communities in a Camellia oleifera plantation

    Open Access•Jiachen Wang, Hailun Wang et al.•ARTICLE•Land Degradation and Development•2023

    Legume intercropping by biological nitrogen (N) fixation is supposed as a more sustainable way than chemical N addition to enhance soil N availability in agronomy, however, the effects of the two types of N input on soil food web are scarcely determined. To fill the knowledge gap, we conducted a field experiment with randomized block design in an oil‐tea ( Camellia oleifera ) plantation, which included five N manipulation treatment: legume interc…

  • Microbial Necromass Nitrogen Accumulation and Its Response to Soil Multifunctionality Following Plantation Restoration in a Subtropical Karst Region

    Open Access•Junjie Lei, Yuanying Peng et al.•ARTICLE•Land Degradation and Development•2025

    Microbial necromass nitrogen (MNN) is increasingly recognized as a major source of soil N, playing a crucial role in N sequestration and sustaining N balance. However, quantitative data on the contribution of MNN to total N and its relationship with soil multifunctionality (SMF) in karst plantation ecosystems remain lacking. In this study, MNN (measured via amino sugar analysis) and SMF (calculated using the mean value method) were determined acr…

Agronomy (2 works) · Artificial Intelligence (2 works) · Biology (2 works) · Chemistry (2 works) · Computer Science (2 works) · Ecology (2 works) · Environmental Science (2 works) · Nitrogen (2 works) · Nitrogen fixation (2 works) · 3D Surveying and Cultural Heritage (1 works)

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