J K Chen

Dados Biográficos

ID6077494
NOMEJ K Chen
PRENOMESJ K
SOBRENOMEChen
ASSINATURACHEN J K
AFILIAÇÕESUniversity of Nottingham Ningbo China
VERIFICADONão
TOTAL DE OBRAS4
TOTAL DE CITAÇÕES1
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO1998
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H1

  • A Cross-Platform Disinformation Source Detection Algorithm Based on Reverse-Infection and Distance-Time Correlation

    Open AccessMingcan Cen, Jian Chen et al.ARTICLEIEEE Transactions on Computational…2026

  • Global disparities in regulatory approval of prophylactic vaccines, 2005–2024

    Open AccessRizhen Wang, Jing Chen et al.ARTICLEJournal of Global Health2026

    Background: Timely approval of prophylactic vaccines is essential to equitable access, especially in low- and middle-income countries (LMICs) disproportionately affected by vaccine-preventable diseases. In this cross-sectional analysis, we characterised the global landscape of regulatory approvals for new prophylactic vaccines over the past two decades. Methods: We retrieved data from Pharmaprojects for new prophylactic vaccines approved globally…

  • Mindfulness Boosts Specific Cognition via Self‐Control and Cognitive Emotion Regulation in Chinese Left‐Behind Children

    Open AccessXianhua Liu, J K Chen et al.ARTICLEFamily Relations2026

    Background Long‐term parental migration adversely affects cognitive development among left‐behind children (LBC) in China, yet this issue has not received adequate attention and effective interventions are lacking. Objective This study examined the efficacy of a mindfulness‐based intervention (MBI) on specific cognitive functions in LBC, with self‐control (SC) mediating the trait mindfulness (TM)‐learning attentional stability (LAS) relationship …

  • A regression analysis estimating the number of drug-using arrestees in 185 US cities

    Yih-Ing Hser, Y I Hser et al.ARTICLEAmerican Journal of Public Health1998Citada por: 1Referências: 5

    OBJECTIVES: This study sought to provide population-based estimates of drug-using arrestees in the 185 largest US cities. METHODS: A prevalence model for drug-using arrestees was developed by relating selected social indicators (from 1990 census data) and drug use rates (from Drug Use Forecasting program data) via logistic regression analysis. RESULTS: It was estimated that in 1990, across the 185 cities, about 925,000 arrestees used cocaine, 317…