Xiaoyang Liu

Datos Biográficos

ID3925066
NOMBREXiaoyang Liu
NOMBRESXiaoyang
APELLIDOLiu
FIRMALIU X
AFILIACIONESChongqing University of Technology
ORCID0000-0002-8619-0356
VERIFICADOSí
TOTAL DE OBRAS33
TOTAL DE CITAS1
TOTAL COMO AUTOR33
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2019
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H1

  • AdaDCL

    Open AccessXiaoyang Liu, Lianlian Zou et al.ARTICLEIEEE Transactions on Computational…2026

    Graph contrastive learning has demonstrated outstanding performance in addressing the issue of label scarcity. It still has two limitations: 1) the stacking of graph layers often leads to over-smoothing, hard to distinguish the embeddings of distinct nodes; and 2) traditional algorithms typically model user preferences with a unified intention, neglecting the multifaceted and fine-grained motivations behind user-item interactions. To overcome the…

  • Combining Gravity Box-Coverage With Effective Distance to Identify Key Nodes in Complex Networks

    Open AccessXiaoyang Liu, Shuyue He et al.ARTICLEIEEE Transactions on Computational…2026

    Contemporary techniques for identifying key nodes in complex networks typically rely on the static topology of the network, often neglecting the potential dynamic information available. We introduce a novel centrality measurement approach named gravity box-coverage and effective distance (GBED). It capitalizes on the notion that the internal structure of the gravity box encapsulates crucial information about nodes. It transforms static Euclidean …

  • Multi-objective optimization of urban land use across multiple scales

    Open AccessXiaoyang Liu, Kaili Zhang et al.ARTICLEEnvironmental Impact Assessment…2026

  • The Associations Between Perceived Social Support, Depressive Symptoms, and Psychoactive Substance Use Among Men Who Have Sex with Men

    Xin Liu, Shu Jing et al.ARTICLEInternational Journal of Sexual…2026

    Objectives This study aimed to investigate the prevalence of psychoactive substance use (PSU), identify related factors, and examine the associations among perceived social support, depressive symptoms, and PSU among men who have sex with men (MSM) in China.Methods This study recruited MSM from March 17 to May 28, 2023, via Blued, a popular geosocial networking application among MSM in China. Data on sociodemographic characteristics, sexual behav…

  • Nonlinear and spatially heterogeneous effects of the built environment on urban flood resilience

    Open AccessCheng Tan, Xiaoyang Liu et al.ARTICLESustainable Cities and Society2026

  • Unveiling multiscale and nonlinear effects of land use change drivers through interpretable machine learning model

    Open AccessJian Lu, Xiaoyang Liu et al.ARTICLEEnvironmental Impact Assessment…2026Referencias: 59

  • Identifying Key Nodes Based on Neighborhood Topology and Voting Mechanism in Complex Networks

    Open AccessXiaoyang Liu, Hui Li et al.ARTICLEIEEE Transactions on Computational…2025

    Large-scale networks cannot be effectively addressed by global structure-based techniques due to their high temporal complexity, while local structure-based methods may overlook global information. To overcome these limitations, we propose a novel key node identification method for complex networks, named cycle structure, voting mechanism, ranking principle (CVR). This method adopts a multilevel processing approach and an enhanced voting mechanis…

  • GGDHSCL

    Open AccessXiaoyang Liu, Guiling Wen et al.ARTICLEIEEE Transactions on Computational…2025

    Recommender Systems in real scenarios suffer from poor representation ability of user–item interaction graph caused by data sparsity and data noise. Most of the existing models have problems of instability and limited generation ability. This article proposes a novel recommendation method called graph generative diffusion with hard negative sampling contrastive learning recommendation method (GGDHSCL) to overcome the limitations above. First, the…

  • Quantifying depression and the risk of chronic liver diseases

    Open AccessHailiang Wang, Shuju Zhao et al.ARTICLEFrontiers in Public Health2025

    Background Chronic liver diseases and depression are both major public health concerns worldwide, particularly among aging populations. However, evidence on the prospective association between depressive symptoms and the risk of developing chronic liver diseases remains limited. The aim of this study is to explore the potential association in middle-aged and older Chinese adults. Methods Data for this study were obtained from the China Health and…

  • Urban–rural disparities in fall risk among older Chinese adults

    Open AccessLiHan Lin, Xiaoyang Liu et al.ARTICLEFrontiers in Public Health2025

    Background: Falls among older adults are a significant challenge to global healthy aging. Identifying key factors and differences in fall risks, along with developing predictive models, is essential for differentiated and precise interventions in China's urban and rural older populations. Methods: The data of 5,876 older adults were obtained from the China Health and Retirement Longitudinal Survey (Waves 2015 and 2018). A total of 87 baseline inp…

  • Phenotypic and genetically predicted leukocyte telomere length and prostate cancer risk

    Open AccessXiaoyang Liu, Shengzhuo Liu et al.ARTICLEJournal of Global Health2025

    Background: Previous studies on the correlation between leukocyte telomere length (LTL) and prostate cancer (PCa) have shown inconsistent results. We aimed to clarify this association by leveraging a large-scale prospective design and Mendelian randomisation. Methods: We enrolled a total of 229 022 male individuals from the UK Biobank (UKB) to investigate the association between LTL and PCa risk. We employed both unadjusted and covariates-adjuste…

  • A Digital Health Intervention on Healthy Behaviors Among Men Who Have Sex with Men in China Based on Information-Motivation-Behavioral Skills Model

    Zhenwei Dai, Xin Liu et al.ARTICLEInternational Journal of Sexual…2025

    Background Men who have sex with men (MSM) remain significantly affected by HIV/AIDS due to high-risk sexual behaviors. The adoption rate of preventive measures like pre-exposure prophylaxis (PrEP) use and HIV testing among MSM is insufficient in China, which requires more effective prevention strategies.Objective This study aims to evaluate the feasibility and effectiveness of an Information-Motivation-Behavioral Skills (IMB) model-based digital…

  • Predicting 3-year depressive symptoms among middle-aged and older adults in rural China using random forest

    Open AccessLiHan Lin, Xiaoyang Liu et al.ARTICLEBMC Psychology2025

    Under China’s dual economic structure of urban and rural areas, rural regions face issues such as low socioeconomic status, inadequate healthcare resources, and neglect of mental health, leading to a higher prevalence of depression among middle-aged and older adults (above 45 years) in this area. This prospective cohort study used data from 6,183 rural Chinese middle-aged and older adults in the China Health and Retirement Longitudinal Study (CHA…

  • Prevalence and influencing factors of occupational burnout among healthcare workers in the Chinese mainland during the late 2022 Omicron Covid-19 outbreak

    Open AccessShu Jing, Zhenwei Dai et al.ARTICLEBMC Public Health2025

    China witnessed an Omicron COVID-19 outbreak at the end of 2022. During this period, medical crowding and enormous pressure on the healthcare systems occurred, which might result in the occurrence of occupational burnout among healthcare workers (HCWs). This study aims to investigate the prevalence of occupational burnout and associated mental conditions, such as depressive symptoms, anxiety, PTSD symptoms, perceived social support, resilience, a…

  • Uptake and hesitancy of the second booster dose of Covid-19 vaccine among the general population in China after the surge period of the Covid-19 pandemic

    Open AccessXin Liu, You Xin et al.ARTICLEBMC Public Health2025

    COVID-19 vaccine hesitancy remains prevalent among the general population in China after the surge period of the pandemic. Crucial steps, such as raising public awareness of the benefits and potential side effects of regular COVID-19 vaccination, ensuring timely monitoring and disclosure of pandemic information, and implementing targeted measures to improve social support and mental health, should be taken. These efforts will be instrumental in r…

  • Shaping active transport behavior

    Open AccessMengbing Du, Wen Li et al.ARTICLEJournal of Transport Geography2025Citada por: 1Referencias: 5

  • Life-cycle environmental burdens of cultivated seaweed as blue food

    Open AccessHaoyu Wu, Xiaoyang Liu et al.ARTICLEEnvironmental Impact Assessment…2025Referencias: 34

  • Information Propagation Prediction Based on Spatial–Temporal Attention and Heterogeneous Graph Convolutional Networks

    Open AccessXiaoyang Liu, Chenxiang Miao et al.ARTICLEIEEE Transactions on Computational…2024

    With the development of deep learning and other technologies, the research of information propagation prediction has also achieved important research achievements. However, the existing information diffusion studies either focus on the attention relationships of users or they predict the information according to the diffusion relationships of users, which makes the prediction results have certain limitations. Therefore, a prediction model has bee…

  • Circulating levels of blood biomarkers and risk of benign prostatic hyperplasia

    Open AccessShengzhuo Liu, Xiaoyang Liu et al.ARTICLEJournal of Global Health2024

    Background: As one of the most prevalent chronic non-communicable diseases affecting aging males, the burden of benign prostatic hyperplasia is growing over the world. Our study aims at investigating the potential relationships between various blood biomarkers and benign prostatic hyperplasia (BPH) in middle-aged and older men in European and East Asian population cohorts. Methods: We included 229 022 male adults from the UK Biobank (UKB) and 20 …

  • Restoration of abnormal sleep EEG power in patients with insomnia disorder after 1Hz rTMS over left DLPFC

    Open AccessXumeng Zhao, Jiayi Liu et al.ARTICLEFrontiers in Psychiatry2024

    The relative power of sleep EEG exhibited a significant correlation with sleep measures in ID patients, and demonstrated notable differences from HCs across the delta, beta, and gamma frequency bands. Furthermore, our findings suggest that rTMS treatment may partially ameliorate relative power abnormalities in patients with ID

  • Exposure to di-2-ethylhexyl phthalate (Dehp) increases the risk of cancer

    Open AccessLuchen Yang, Xiaoyang Liu et al.ARTICLEBMC Public Health2024

    Cancer is a major socioeconomic burden that seriously affects the life and spirit of patients. However, little is known about the role of environmental toxicant exposure in diseases, especially ubiquitous di-(2-ethylhexyl) phthalate (DEHP) which is one of the most widely used plasticizers. Hence, the objective of this study was to assess the potential association between cancer and DEHP. The data were collected using the 2011-2018 National Health…

  • Household air pollution and urinary incontinence symptoms among older adults in Lasi

    Open AccessXiaoyang Liu, Kai Ma et al.ARTICLEBMC Public Health2024

    The results of our study indicate that the utilization of solid fuels in the home increases the likelihood of developing urinary incontinence and stress urinary incontinence. As a result, we argue that there is an immediate need to reform the composition of cooking fuel and raise public awareness about the adverse effects of air pollution in the home

  • Influential Spreaders Identification in Complex Networks With Topsis and K-Shell Decomposition

    Open AccessXiaoyang Liu, Shu Ye et al.ARTICLEIEEE Transactions on Computational…2023

    In view that the K-shell decomposition method can only effectively identify a single most influential node, but cannot accurately identify a group of most influential nodes, this article proposes a hybrid method based on K-shell decomposition to identify the most influential spreaders in complex networks. First, the K-shell decomposition method is used to decompose the network, and the network is regarded as a hierarchical structure from the inne…

  • Social Network Rumor Detection Method Combining Dual-Attention Mechanism With Graph Convolutional Network

    Open AccessXiaoyang Liu, Zhengyang Zhao et al.ARTICLEIEEE Transactions on Computational…2023

    Most rumor detection methods extract the features of rumor through two aspects of text semantics and propagation structure to achieve automatic rumor classification, while most of the existing methods do not realize that false and irrelevant interactions in the propagation structure will reduce the accuracy of rumor detection. In addition, most of the existing rumor detection methods failed to effectively extract key clues from the comments of so…

  • Development and validation of the diabetic self-management scale based on information-motivation-behavioral skills theory

    Open AccessZhenwei Dai, Shu Jing et al.ARTICLEFrontiers in Public Health2023

    Background: Self-management is important for the blood sugar control of middle-aged and elderly Type 2 diabetes mellitus (T2DM) patients, of which diet, exercise, and drug compliance are the most common components. The Information-Motivation-Behavioral Skills Model (IMB) has been widely used in health behavior management and intervention. Objective: The purpose of this study is to develop and validate the Diabetic Self-Management Scale (DSMS) bas…