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Jian Wan

Biographic Data

ID8284917
NAMEJian Wan
GIVEN NAMESJian
FAMILY NAMEWan
SIGNATUREWAN J
AFFILIATIONSCentral South University
ORCID0000-0001-9882-3029
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Multitask-Based Self-Supervised Learning for Recommendation in Social Systems

    Open Access•Wenjian Xu, Fanxiang Zeng et al.•ARTICLE•IEEE Transactions on Computational…•2025

    In computational social systems, recommendation functionality plays a pivotal role in influencing user behavior, enhancing user experience, and driving engagement. To help recommendation functionality to better suggest relevant content or items, the social platforms usually utilize large-scale knowledge discovery techniques to analyze trends in user interactions and extract patterns from large datasets. Click-through rate (CTR) prediction is cruc…

  • Comparative analysis of trends in the burden of pancreatitis in China and worldwide, 1990–2021

    Open Access•Jianwang Cai, Jianqing Cai et al.•ARTICLE•Frontiers in Public Health•2025

    Background: Amidst global demographic aging patterns, understanding divergent trajectories of pancreatitis burden is crucial for health equity. This study compares China's pancreatitis burden (1990-2021) against global aggregates, focusing on age-sex stratification within aging populations. Methods: Leveraging Global Burden of Disease 2021 datasets, we analyzed age-standardized rates (ASR) for incidence (ASIR), prevalence (ASPR), mortality (ASMR)…

No prominent works on this page.

  • Multitask-Based Self-Supervised Learning for Recommendation in Social Systems

    Open Access•Wenjian Xu, Fanxiang Zeng et al.•ARTICLE•IEEE Transactions on Computational…•2025

    In computational social systems, recommendation functionality plays a pivotal role in influencing user behavior, enhancing user experience, and driving engagement. To help recommendation functionality to better suggest relevant content or items, the social platforms usually utilize large-scale knowledge discovery techniques to analyze trends in user interactions and extract patterns from large datasets. Click-through rate (CTR) prediction is cruc…

  • Comparative analysis of trends in the burden of pancreatitis in China and worldwide, 1990–2021

    Open Access•Jianwang Cai, Jianqing Cai et al.•ARTICLE•Frontiers in Public Health•2025

    Background: Amidst global demographic aging patterns, understanding divergent trajectories of pancreatitis burden is crucial for health equity. This study compares China's pancreatitis burden (1990-2021) against global aggregates, focusing on age-sex stratification within aging populations. Methods: Leveraging Global Burden of Disease 2021 datasets, we analyzed age-standardized rates (ASR) for incidence (ASIR), prevalence (ASPR), mortality (ASMR)…

Acute pancreatitis (1 work) · Advanced Text Analysis Techniques (1 work) · Artificial Intelligence (1 work) · China (1 work) · Computer Science (1 work) · Food Security and Health in Diverse Populations (1 work) · Global health (1 work) · Health care (1 work) · Healthcare system (1 work) · Machine learning (1 work)

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