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Zhaofu Li

Biographic Data

ID6018863
NAMEZhaofu Li
GIVEN NAMESZhaofu
FAMILY NAMELi
SIGNATURELI Z
AFFILIATIONSNanjing Agricultural University
ORCID0000-0001-5333-976X
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS2
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2004
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Yiqi Yangxue formula inhibits cartilage degeneration in knee osteoarthritis by regulating LncRNA-UFC1/miR-34a/MMP-13 axis

    Open Access•Ting Zhao, X Y Wang et al.•ARTICLE•Journal of Ethnopharmacology•2025

    The anti-KOA cartilage degeneration effect of YQYXF might be related to inhibiting cell apoptosis and promoting cell proliferation, which regulated the lncRNA-UFC1/miR-34a/MMP-13 axis

  • Immunogenicity of Inactivated Sars-CoV-2 Vaccines in Patients With Rheumatoid Arthritis

    Open Access•Ting Zhao, Ting C Zhao et al.•ARTICLE•Frontiers in Public Health•2022

    Objectives: Attenuated humoral response to mRNA SARS-CoV-2 vaccines has been reported in some patients with autoimmune disease, e.g., rheumatoid arthritis (RA). However, data of immune responses to inactivated SARS-CoV-2 vaccine in the RA population are still unknown. Herein, the safety and immunogenicity of inactivated SARS-CoV-2 vaccines in RA patients were analyzed. Methods: Seventy five RA patients and 26 healthy controls (HC) were respective…

  • Forecasting emerging technologies using data augmentation and deep learning

    Open Access•Zhou Yuan, Fang Dong et al.•ARTICLE•Scientometrics•2020

    Deep learning can be used to forecast emerging technologies based on patent data. However, it requires a large amount of labeled patent data as a training set, which is difficult to obtain due to various constraints. This study proposes a novel approach that integrates data augmentation and deep learning methods, which overcome the problem of lacking training samples when applying deep learning to forecast emerging technologies. First, a sample d…

  • Comprehensive Performance Evaluation for Hydrological and Nutrients Simulation Using the Hydrological Simulation Program–Fortran in a Mesoscale Monsoon Watershed, China

    Open Access•Zhaofu Li, Chuan Luo et al.•ARTICLE•International Journal of…•2017

    The Hydrological Simulation Program-Fortran (HSPF) is a hydrological and water quality computer model that was developed by the United States Environmental Protection Agency. Comprehensive performance evaluations were carried out for hydrological and nutrient simulation using the HSPF model in the Xitiaoxi watershed in China. Streamflow simulation was calibrated from 1 January 2002 to 31 December 2007 and then validated from 1 January 2008 to 31 …

  • Evaluation of the AnnAGNPS Model for Predicting Runoff and Nutrient Export in a Typical Small Watershed in the Hilly Region of Taihu Lake

    Open Access•Chuan Luo, Zhaofu Li et al.•ARTICLE•International Journal of…•2015

    The application of hydrological and water quality models is an efficient approach to better understand the processes of environmental deterioration. This study evaluated the ability of the Annualized Agricultural Non-Point Source (AnnAGNPS) model to predict runoff, total nitrogen (TN) and total phosphorus (TP) loading in a typical small watershed of a hilly region near Taihu Lake, China. Runoff was calibrated and validated at both an annual and m…

  • Impacts on Wetlands of Large-scale Land-use Changes by Agricultural Development

    Hongyu Liu, Shikui Zhang et al.•ARTICLE•AMBIO•2004•Cited by: 2

    The Small Sanjiang Plain (SSP), was formerly the largest wetland complex in China, located in the Northeastern part of Heilongjiang Province, China. Home to vast numbers of waterfowls, fish, and plants, the SSP is globally significant for biodiversity conservation. The loss and fragmentation of wetlands as a result agricultural development over 50 years has impacted wetland communities and their biodiversity. We used GIS to inventory large-scale …

  • Impacts on Wetlands of Large-scale Land-use Changes by Agricultural Development

    Hongyu Liu, Shikui Zhang et al.•ARTICLE•AMBIO•2004•References: 1

    The Small Sanjiang Plain (SSP), was formerly the largest wetland complex in China, located in the Northeastern part of Heilongjiang Province, China. Home to vast numbers of waterfowls, fish, and plants, the SSP is globally significant for biodiversity conservation. The loss and fragmentation of wetlands as a result agricultural development over 50 years has impacted wetland communities and their biodiversity. We used GIS to inventory large-scale …

  • Impacts on Wetlands of Large-scale Land-use Changes by Agricultural Development

    Hongyu Liu, Shikui Zhang et al.•ARTICLE•AMBIO•2004•Cited by: 2

    The Small Sanjiang Plain (SSP), was formerly the largest wetland complex in China, located in the Northeastern part of Heilongjiang Province, China. Home to vast numbers of waterfowls, fish, and plants, the SSP is globally significant for biodiversity conservation. The loss and fragmentation of wetlands as a result agricultural development over 50 years has impacted wetland communities and their biodiversity. We used GIS to inventory large-scale …

  • Impacts on Wetlands of Large-scale Land-use Changes by Agricultural Development

    Hongyu Liu, Shikui Zhang et al.•ARTICLE•AMBIO•2004•Cited by: 2

    The Small Sanjiang Plain (SSP), was formerly the largest wetland complex in China, located in the Northeastern part of Heilongjiang Province, China. Home to vast numbers of waterfowls, fish, and plants, the SSP is globally significant for biodiversity conservation. The loss and fragmentation of wetlands as a result agricultural development over 50 years has impacted wetland communities and their biodiversity. We used GIS to inventory large-scale …

  • Impacts on Wetlands of Large-scale Land-use Changes by Agricultural Development

    Hongyu Liu, Shikui Zhang et al.•ARTICLE•AMBIO•2004•References: 1

    The Small Sanjiang Plain (SSP), was formerly the largest wetland complex in China, located in the Northeastern part of Heilongjiang Province, China. Home to vast numbers of waterfowls, fish, and plants, the SSP is globally significant for biodiversity conservation. The loss and fragmentation of wetlands as a result agricultural development over 50 years has impacted wetland communities and their biodiversity. We used GIS to inventory large-scale …

  • Evaluation of the AnnAGNPS Model for Predicting Runoff and Nutrient Export in a Typical Small Watershed in the Hilly Region of Taihu Lake

    Open Access•Chuan Luo, Zhaofu Li et al.•ARTICLE•International Journal of…•2015

    The application of hydrological and water quality models is an efficient approach to better understand the processes of environmental deterioration. This study evaluated the ability of the Annualized Agricultural Non-Point Source (AnnAGNPS) model to predict runoff, total nitrogen (TN) and total phosphorus (TP) loading in a typical small watershed of a hilly region near Taihu Lake, China. Runoff was calibrated and validated at both an annual and m…

  • Comprehensive Performance Evaluation for Hydrological and Nutrients Simulation Using the Hydrological Simulation Program–Fortran in a Mesoscale Monsoon Watershed, China

    Open Access•Zhaofu Li, Chuan Luo et al.•ARTICLE•International Journal of…•2017

    The Hydrological Simulation Program-Fortran (HSPF) is a hydrological and water quality computer model that was developed by the United States Environmental Protection Agency. Comprehensive performance evaluations were carried out for hydrological and nutrient simulation using the HSPF model in the Xitiaoxi watershed in China. Streamflow simulation was calibrated from 1 January 2002 to 31 December 2007 and then validated from 1 January 2008 to 31 …

  • Forecasting emerging technologies using data augmentation and deep learning

    Open Access•Zhou Yuan, Fang Dong et al.•ARTICLE•Scientometrics•2020

    Deep learning can be used to forecast emerging technologies based on patent data. However, it requires a large amount of labeled patent data as a training set, which is difficult to obtain due to various constraints. This study proposes a novel approach that integrates data augmentation and deep learning methods, which overcome the problem of lacking training samples when applying deep learning to forecast emerging technologies. First, a sample d…

  • Immunogenicity of Inactivated Sars-CoV-2 Vaccines in Patients With Rheumatoid Arthritis

    Open Access•Ting Zhao, Ting C Zhao et al.•ARTICLE•Frontiers in Public Health•2022

    Objectives: Attenuated humoral response to mRNA SARS-CoV-2 vaccines has been reported in some patients with autoimmune disease, e.g., rheumatoid arthritis (RA). However, data of immune responses to inactivated SARS-CoV-2 vaccine in the RA population are still unknown. Herein, the safety and immunogenicity of inactivated SARS-CoV-2 vaccines in RA patients were analyzed. Methods: Seventy five RA patients and 26 healthy controls (HC) were respective…

  • Yiqi Yangxue formula inhibits cartilage degeneration in knee osteoarthritis by regulating LncRNA-UFC1/miR-34a/MMP-13 axis

    Open Access•Ting Zhao, X Y Wang et al.•ARTICLE•Journal of Ethnopharmacology•2025

    The anti-KOA cartilage degeneration effect of YQYXF might be related to inhibiting cell apoptosis and promoting cell proliferation, which regulated the lncRNA-UFC1/miR-34a/MMP-13 axis

Environmental Science (4 works) · Biology (3 works) · China (3 works) · Ecology (3 works) · Geography (3 works) · Hydrology (agriculture (3 works) · Surface runoff (3 works) · Agricultural land (2 works) · Agriculture (2 works) · Biodiversity (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae