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Jianhua Ma

Biographic Data

ID4985678
NAMEJianhua Ma
GIVEN NAMESJianhua
FAMILY NAMEMa
SIGNATUREMA J
AFFILIATIONSHosei University
ORCID0000-0003-4497-0407
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2025
H-INDEX0
  • The mediating role of body roundness index in the association between dietary inflammatory index and depression

    Open Access•W Duan, Jianhua Ma et al.•ARTICLE•Frontiers in Psychiatry•2025

    This study firstly identified a mediating role of BRI in the association between DII and depressive symptoms, suggesting that visceral obesity may be an important pathway through which dietary inflammation affects depression. Our findings may provide evidence-based insights to guide targeted interventions to prevent depression at the population level

  • Association of Life’s Crucial 9 with cognitive function and stroke risk

    Open Access•Renjie Liu, Jiahui Feng et al.•ARTICLE•BMC Public Health•2025

    Higher LC9 scores are associated with better cognitive function and lower odds of stroke. These findings suggest that incorporating mental health metrics, such as depression, into cardiovascular health assessments enhances the predictive power for cognitive outcomes and stroke prevention

  • LASGRec

    Open Access•Yufeng Wang, Xun Huang et al.•ARTICLE•IEEE Transactions on Computational…•2024

    With the explosion of information, personalized recommender plays a vital role in almost all economic platforms. Usually, the recommender exploits user–item (UI) interactive data to learn users’ latent interests, and then correspondingly conducts recommendations. To address the problem of sparse interactions, graph neural networks (GNNs) have been used to efficiently learn the latent representations of users and items, through structurally modeli…

  • Alterations of gut microbiota and its correlation with the liver metabolome in the process of ameliorating Parkinson's disease with Buyang Huanwu decoction

    Open Access•Jianran Hu, Ping Li et al.•ARTICLE•Journal of Ethnopharmacology•2024

  • Personality-Aware Product Recommendation System Based on User Interests Mining and Metapath Discovery

    Open Access•Sahraoui Dhelim, Huansheng Ning et al.•ARTICLE•IEEE Transactions on Computational…•2021

    A recommendation system is an integral part of any modern online shopping or social network platform. The product recommendation system as a typical example of the legacy recommendation systems suffers from two major drawbacks: recommendation redundancy and unpredictability concerning new items (cold start). These limitations take place because the legacy recommendation systems rely only on the user's previous buying behavior to recommend new ite…

  • DNN-Dp

    Open Access•Yufeng Wang, Min Gu et al.•ARTICLE•IEEE Transactions on Computational…•2020

    Deep neural network (DNN) learning has witnessed significant applications in various fields, especially for prediction and classification. Frequently, the data used for training are provided by crowdsourcing workers, and the training process may violate their privacy. A qualified prediction model should protect the data privacy in training and classification/prediction phases. To address this issue, we develop a differential privacy (DP)-enabled …

  • Monitoring and benchmarking government policies and actions to improve the healthiness of food environments

    Open Access•B Swinburn, Stefanie Vandevijvere et al.•ARTICLE•Obesity Reviews•2013

    Government action is essential to increase the healthiness of food environments and reduce obesity, diet‐related non‐communicable diseases ( NCD s), and their related inequalities. This paper proposes a monitoring framework to assess government policies and actions for creating healthy food environments. Recommendations from relevant authoritative organizations and expert advisory groups for reducing obesity and NCD s were examined, and pertinent…

No prominent works on this page.

  • Monitoring and benchmarking government policies and actions to improve the healthiness of food environments

    Open Access•B Swinburn, Stefanie Vandevijvere et al.•ARTICLE•Obesity Reviews•2013

    Government action is essential to increase the healthiness of food environments and reduce obesity, diet‐related non‐communicable diseases ( NCD s), and their related inequalities. This paper proposes a monitoring framework to assess government policies and actions for creating healthy food environments. Recommendations from relevant authoritative organizations and expert advisory groups for reducing obesity and NCD s were examined, and pertinent…

  • DNN-Dp

    Open Access•Yufeng Wang, Min Gu et al.•ARTICLE•IEEE Transactions on Computational…•2020

    Deep neural network (DNN) learning has witnessed significant applications in various fields, especially for prediction and classification. Frequently, the data used for training are provided by crowdsourcing workers, and the training process may violate their privacy. A qualified prediction model should protect the data privacy in training and classification/prediction phases. To address this issue, we develop a differential privacy (DP)-enabled …

  • Personality-Aware Product Recommendation System Based on User Interests Mining and Metapath Discovery

    Open Access•Sahraoui Dhelim, Huansheng Ning et al.•ARTICLE•IEEE Transactions on Computational…•2021

    A recommendation system is an integral part of any modern online shopping or social network platform. The product recommendation system as a typical example of the legacy recommendation systems suffers from two major drawbacks: recommendation redundancy and unpredictability concerning new items (cold start). These limitations take place because the legacy recommendation systems rely only on the user's previous buying behavior to recommend new ite…

  • LASGRec

    Open Access•Yufeng Wang, Xun Huang et al.•ARTICLE•IEEE Transactions on Computational…•2024

    With the explosion of information, personalized recommender plays a vital role in almost all economic platforms. Usually, the recommender exploits user–item (UI) interactive data to learn users’ latent interests, and then correspondingly conducts recommendations. To address the problem of sparse interactions, graph neural networks (GNNs) have been used to efficiently learn the latent representations of users and items, through structurally modeli…

  • Alterations of gut microbiota and its correlation with the liver metabolome in the process of ameliorating Parkinson's disease with Buyang Huanwu decoction

    Open Access•Jianran Hu, Ping Li et al.•ARTICLE•Journal of Ethnopharmacology•2024

  • The mediating role of body roundness index in the association between dietary inflammatory index and depression

    Open Access•W Duan, Jianhua Ma et al.•ARTICLE•Frontiers in Psychiatry•2025

    This study firstly identified a mediating role of BRI in the association between DII and depressive symptoms, suggesting that visceral obesity may be an important pathway through which dietary inflammation affects depression. Our findings may provide evidence-based insights to guide targeted interventions to prevent depression at the population level

  • Association of Life’s Crucial 9 with cognitive function and stroke risk

    Open Access•Renjie Liu, Jiahui Feng et al.•ARTICLE•BMC Public Health•2025

    Higher LC9 scores are associated with better cognitive function and lower odds of stroke. These findings suggest that incorporating mental health metrics, such as depression, into cardiovascular health assessments enhances the predictive power for cognitive outcomes and stroke prevention

Computer Science (4 works) · Internal Medicine (3 works) · Medicine (3 works) · Artificial Intelligence (2 works) · Artificial neural network (2 works) · Data mining (2 works) · Environmental health (2 works) · Machine learning (2 works) · Recommender system (2 works) · Recommender Systems and Techniques (2 works)

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