Zipeng Zhang

Dados Biográficos

ID7978881
NOMEZipeng Zhang
PRENOMESZipeng
SOBRENOMEZhang
ASSINATURAZHANG Z
AFILIAÇÕESCollege of Geographical and Remote Sciences Xinjiang University Urumqi China
ORCID0009-0000-2286-8159
VERIFICADOSim
TOTAL DE OBRAS12
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR12
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2017
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0

  • Application of the Process‐Oriented and Machine Learning Combined Model in Mapping of Soil Organic Carbon of Non‐Waterlogged Mineral Soils at National Scale

    Open AccessKeqiang Wang, Zipeng Zhang et al.ARTICLELand Degradation and Development2026

    Integrating process‐oriented (PO) and machine learning (ML) models is effective for obtaining dynamic spatial information on soil organic carbon (SOC) stocks. However, PO‐ML integration, particularly at large scales, has received insufficient attention. This gap limits our understanding of and predictive capabilities regarding SOC dynamics. To explore the adaptability and effectiveness of PO‐ML integration on a large scale, we constructed a natio…

  • Fractional Order Differentiation Preprocessing Based Fusion of Vis– NIR and pXRF

    Open AccessLiangyi Li, Zipeng Zhang et al.ARTICLELand Degradation and Development2026

    Soil contamination by heavy metals has become a significant issue threatening the ecological security of global agriculture, particularly in arid regions, where accurate monitoring of low‐concentration heavy metals remains a technical challenge. This study proposes a proximal sensing method based on the fusion of visible–near infrared (Vis–NIR) spectroscopy and portable X‐ray fluorescence (pXRF) sensors, aiming to address the limitations of tradi…

  • Unveiling the Advantages of UV −Vis/ NIR − pXRF Data Fusion for Precise Estimation of Soil Heavy Metals in Farmland

    Open AccessSusu Gao, Xiang Li et al.ARTICLELand Degradation and Development2026

    Heavy metal contamination in agricultural soils threatens ecosystem stability and food safety. Rapid and accurate estimation of arsenic (As), cadmium (Cd), and lead (Pb) is therefore essential for environmental protection and soil remediation. Near‐field sensing technologies provide a fast and cost‐efficient alternative to laboratory analysis, yet single‐spectrum approaches often suffer from limited information coverage and reduced prediction acc…

  • Hybrid Modeling of Physics and Machine Learning for Soil Moisture Inversion in Arid Regions on Google Earth Engine

    Open AccessXinlei Jiang, Xiangyu Ge et al.ARTICLELand Degradation and Development2026

    Soil moisture content (SMC) is vital for agriculture and water management, but accurate monitoring remains challenging. Current methods rely on standalone physical models (e.g., Water Cloud Model) or machine learning (ML), but physical models lack accuracy in complex environments, while ML lacks physical constraints. We hypothesize that hybrid models can improve SMC estimation. Using 90 soil samples from arid oasis ecosystems, we compared four ap…

  • Unveiling the Dynamic Patterns and Driving Forces of Soil Organic Carbon in Chinese Croplands From 1980 to 2020

    Open AccessJunchen Ai, Zipeng Zhang et al.ARTICLELand Degradation and Development2025

    Soil organic carbon (SOC) in cropland is a critical component of the global carbon cycle, representing the most dynamic segment of the carbon pool, and is vital to addressing both “dual‐carbon” goals and food security challenges. However, the current research on SOC in China's croplands has limitations in timeliness, continuity, and accuracy. This study constructed a machine learning model to assess the spatial–temporal distribution and changes o…

  • Soil Organic Carbon Sequestration Potential, Storage, and Influencing Mechanisms in China

    Open AccessJinhua Cao, Zipeng Zhang et al.ARTICLELand Degradation and Development2025

    The soil organic carbon sequestration potential (SOC sp ) has important implications for the global carbon cycle and responses to climate change. However, there is a dearth of spatial information specifically for China within this field, and our knowledge regarding the factors influencing SOC sp remains somewhat limited. To solve this problem, this study utilized legacy soil data collected in the 1980s (1979–1984s), combined with climatic landsca…

  • Soil salinity dynamics in arid oases during irrigated and non‐irrigated seasons

    Open AccessChuanmei Zhu, Jianli Ding et al.ARTICLELand Degradation and Development2023

    Preventing soil salinization is key to the healthy development of agroecosystems in arid regions. Notably, long‐term anthropogenic irrigation accelerates secondary salinity accumulation in arid areas; however, the regional‐scale spatial patterns of soil salinity pre‐ and post‐irrigation season remain unclear. Accordingly, field observations over two periods ( n = 182 samples), along with environmental covariates and the randomForest algorithm, we…

  • Non-antipsychotic medicines and modified electroconvulsive therapy are risk factors for hospital-acquired pneumonia in schizophrenia patients

    Open AccessYan Yang, Di Kong et al.ARTICLEFrontiers in Psychiatry2023

    The incidence of HAP in schizophrenia patients in our cohort was 2.73%. MECT and non-antipsychotic medicines, including benzodiazepines and mood stabilizers were risk factors for HAP in schizophrenia patients treated with antipsychotics

  • Revealing the scale‐ and location‐specific variation and control factors of soil salinity using bi‐dimensional empirical modal decomposition

    Open AccessChuanmei Zhu, Jianli Ding et al.ARTICLELand Degradation and Development2022

    The key to saline land management and soil salinity control is to clarify the dynamics of soil salinity and the characteristics of environmental factors. However, due to the high heterogeneity of soil salinity, the influence of environmental factors on soil salinity variation at specific scales and locations is still unclear. The purpose of this study is to reveal the variability characteristics and controlling factors of soil salinity in the Wei…

  • Changes in soil organic carbon stocks from 1980‐1990 and 2010‐2020 in the northwest arid zone of China

    Open AccessZipeng Zhang, Jianli Ding et al.ARTICLELand Degradation and Development2022

    Soil is the largest carbon reservoir in terrestrial ecosystems, and thus minor changes in it can dramatically affect atmospheric CO 2 concentrations. In the northwestern arid zone of China, the prediction of soil organic carbon (SOC) changes is often limited by the scarcity of soil samples and the scale and depth of research, which limit the understanding of carbon cycling processes in arid zone terrestrial ecosystems. Therefore, this study produ…

  • A View of the Occupational Structure in Imperial and Republican China (1640–1952)

    Open AccessYongqin Guo, Zipeng Zhang et al.ARTICLEAustralian Economic History Review2019

    Despite being considered a prime indicator of economic change, the occupational structure does not figure prominently in the debate regarding the economic development of early modern China. One reason is the virtual absence of occupational data before the start of the twentieth century. In this paper, we make a first attempt to sketch the occupational structure between ca. 1640 and 1952 using a variety of unique and rather fragmented occupational…

  • Chinese National Income, ca. 1661–1933

    Open AccessYi Xu, Zhihong Shi et al.ARTICLEAustralian Economic History Review2017

    In recent decades, national income has become increasingly important as a measure of a nation's economic health. In this study, we used a wide array of primary and secondary sources to arrive at values of the Chinese per capita gross domestic product during the period of 1661–1933. We found a persistent decline in the per capita gross domestic product between the seventeenth and nineteenth centuries, followed by a period of stagnation. This patte…