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Fanxiang Zeng

Biographic Data

ID7805233
NAMEFanxiang Zeng
GIVEN NAMESFanxiang
FAMILY NAMEZeng
SIGNATUREZENG F
AFFILIATIONSFujian Women and Children Hospital
ORCID0000-0002-5466-6188
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…

  • Health inequality and improvement gap in the prevalence of gynecological cancers among perimenopausal women globally, 1990–2019

    Open Access•Chenglin Yang, Jianqin Zou et al.•ARTICLE•BMC Public Health•2025

    Globally, the prevalence of gynecological cancers in perimenopausal women showed an increasing trend. The health inequality gap for cervical and uterine cancer has widened, while disparities in ovarian cancer are particularly pronounced across regions. There remains scope for improvement in managing the prevalence of gynecological cancers among perimenopausal women across countries with varying SDI levels

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…

  • Health inequality and improvement gap in the prevalence of gynecological cancers among perimenopausal women globally, 1990–2019

    Open Access•Chenglin Yang, Jianqin Zou et al.•ARTICLE•BMC Public Health•2025

    Globally, the prevalence of gynecological cancers in perimenopausal women showed an increasing trend. The health inequality gap for cervical and uterine cancer has widened, while disparities in ovarian cancer are particularly pronounced across regions. There remains scope for improvement in managing the prevalence of gynecological cancers among perimenopausal women across countries with varying SDI levels

Advanced Text Analysis Techniques (1 work) · Artificial Intelligence (1 work) · Biostatistics (1 work) · Cancer (1 work) · Cancer Risks and Factors (1 work) · Cervical cancer (1 work) · Computer Science (1 work) · Demography (1 work) · Demography (1 work) · Endometrial and Cervical Cancer Treatments (1 work)

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