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Kun Wei

Biographic Data

ID6948213
NAMEKun Wei
GIVEN NAMESKun
FAMILY NAMEWei
SIGNATUREWEI K
AFFILIATIONSYunnan University
ORCID0000-0001-5035-9239
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Physics-Informed Neural Network With Adaptive Clustering Learning Mechanism for Information Popularity Prediction

    Open Access•Guangyin Jin, Xiaohan Ni et al.•ARTICLE•IEEE Transactions on Computational…•2026

    With society entering the Internet era, the volume and speed of data and information have been increasing. Predicting the popularity of information cascades can help with high-value information delivery and public opinion monitoring on the internet platforms. The current state-of-the-art models for predicting information popularity utilize deep learning methods such as graph convolutional networks (GCNs) and recurrent neural networks (RNNs) to ca…

  • Effect of Tai Chi on the pain intensity or disability of patients with chronic low back pain

    Open Access•Xiaohan Li, Kai Tang et al.•ARTICLE•Frontiers in Sports and Active…•2026•References: 1

    PROSPERO CRD420251072382

  • Sleep disturbances among older adults from the Russian Far East experiencing social loss

    Open Access•Yafei Li, Yuanheng Li et al.•ARTICLE•BMC Public Health•2025

    Our findings emphasize that social loss is a risk factor for sleep disturbances, while social interaction serves as a buffering factor for sleep disturbances in elderly females experiencing social loss. This suggests that providing targeted support for elderly individuals of different sexes who have experienced social loss may be an equitable and effective approach to improving sleep health among the elderly in the Russia Far East

  • Kellerin from Ferula sinkiangensis exerts neuroprotective effects after focal cerebral ischemia in rats by inhibiting microglia-mediated inflammatory responses

    Open Access•Yan Mi, Kun Jiao et al.•ARTICLE•Journal of Ethnopharmacology•2021

  • Cytotoxic sesquiterpenoids from the ethanol extract of fruits of Celastrus orbiculatus

    Open Access•Jing Xu, Yuan-Qiang Guo et al.•ARTICLE•Journal of Ethnopharmacology•2008

No prominent works on this page.

  • Cytotoxic sesquiterpenoids from the ethanol extract of fruits of Celastrus orbiculatus

    Open Access•Jing Xu, Yuan-Qiang Guo et al.•ARTICLE•Journal of Ethnopharmacology•2008

  • Kellerin from Ferula sinkiangensis exerts neuroprotective effects after focal cerebral ischemia in rats by inhibiting microglia-mediated inflammatory responses

    Open Access•Yan Mi, Kun Jiao et al.•ARTICLE•Journal of Ethnopharmacology•2021

  • Sleep disturbances among older adults from the Russian Far East experiencing social loss

    Open Access•Yafei Li, Yuanheng Li et al.•ARTICLE•BMC Public Health•2025

    Our findings emphasize that social loss is a risk factor for sleep disturbances, while social interaction serves as a buffering factor for sleep disturbances in elderly females experiencing social loss. This suggests that providing targeted support for elderly individuals of different sexes who have experienced social loss may be an equitable and effective approach to improving sleep health among the elderly in the Russia Far East

  • Physics-Informed Neural Network With Adaptive Clustering Learning Mechanism for Information Popularity Prediction

    Open Access•Guangyin Jin, Xiaohan Ni et al.•ARTICLE•IEEE Transactions on Computational…•2026

    With society entering the Internet era, the volume and speed of data and information have been increasing. Predicting the popularity of information cascades can help with high-value information delivery and public opinion monitoring on the internet platforms. The current state-of-the-art models for predicting information popularity utilize deep learning methods such as graph convolutional networks (GCNs) and recurrent neural networks (RNNs) to ca…

  • Effect of Tai Chi on the pain intensity or disability of patients with chronic low back pain

    Open Access•Xiaohan Li, Kai Tang et al.•ARTICLE•Frontiers in Sports and Active…•2026•References: 1

    PROSPERO CRD420251072382

Medicine (3 works) · Biology (2 works) · Adaptive Learning (1 works) · Artificial neural network (1 works) · Back pain (1 works) · Balance, Gait, and Falls Prevention (1 works) · Bioactive Compounds and Antitumor Agents (1 works) · Biochemistry (1 works) · Biostatistics (1 works) · Cardiology (1 works)

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