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Mingwei Lin

Biographic Data

ID7543263
NAMEMingwei Lin
GIVEN NAMESMingwei
FAMILY NAMELin
SIGNATURELIN M
AFFILIATIONSFujian Normal University
ORCID0000-0003-2026-7178
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0
  • A Scalable Multichannel Sentiment Analysis Model With Enhanced Semantic Understanding and Redundancy Reduction

    Open Access•Jun Liu, Xiang Li et al.•ARTICLE•IEEE Transactions on Computational…•2026

    The prevailing techniques in textual sentiment analysis include convolutional neural networks (CNNs), bidirectional long short-term memory (BiLSTM) networks, and attention mechanisms. However, the existing sentiment analysis methods typically focus on relationships among neighboring words, neglecting long-range dependencies. Moreover, they fail to reduce redundant information in semantic features, ultimately affecting the effectiveness of sentime…

  • Chrysanthemum morifolium extract attenuates pathological angiogenesis of age-related macular degeneration via Vegf and Nrf2 pathway modulation

    Open Access•Guan-cheng Jiang, G-J Jiang et al.•ARTICLE•Journal of Ethnopharmacology•2026

    CME exerts dual anti-angiogenic and antioxidant effects in AMD models by simultaneously targeting VEGF-driven angiogenesis and oxidative stress, supporting its therapeutic potential as a safe and effective herbal intervention for neovascular AMD

  • Multimoora Based McDm Model for Site Selection of Car Sharing Station Under Picture Fuzzy Environment

    Open Access•Mingwei Lin, Chao Huang et al.•ARTICLE•Sustainable Cities and Society•2020

  • Determine OWA operator weights using kernel density estimation

    Open Access•Mingwei Lin, Wenshu Xu et al.•ARTICLE•Economic Research-Ekonomska…•2020

    Some subjective methods should divide input values into local clusters before determining the ordered weighted averaging (OWA) operator weights based on the data distribution characteristics of input values. However, the process of clustering input values is complex. In this paper, a novel probability density based OWA (PDOWA) operator is put forward based on the data distribution characteristics of input values. To capture the local cluster stru…

No prominent works on this page.

  • Multimoora Based McDm Model for Site Selection of Car Sharing Station Under Picture Fuzzy Environment

    Open Access•Mingwei Lin, Chao Huang et al.•ARTICLE•Sustainable Cities and Society•2020

  • Determine OWA operator weights using kernel density estimation

    Open Access•Mingwei Lin, Wenshu Xu et al.•ARTICLE•Economic Research-Ekonomska…•2020

    Some subjective methods should divide input values into local clusters before determining the ordered weighted averaging (OWA) operator weights based on the data distribution characteristics of input values. However, the process of clustering input values is complex. In this paper, a novel probability density based OWA (PDOWA) operator is put forward based on the data distribution characteristics of input values. To capture the local cluster stru…

  • A Scalable Multichannel Sentiment Analysis Model With Enhanced Semantic Understanding and Redundancy Reduction

    Open Access•Jun Liu, Xiang Li et al.•ARTICLE•IEEE Transactions on Computational…•2026

    The prevailing techniques in textual sentiment analysis include convolutional neural networks (CNNs), bidirectional long short-term memory (BiLSTM) networks, and attention mechanisms. However, the existing sentiment analysis methods typically focus on relationships among neighboring words, neglecting long-range dependencies. Moreover, they fail to reduce redundant information in semantic features, ultimately affecting the effectiveness of sentime…

  • Chrysanthemum morifolium extract attenuates pathological angiogenesis of age-related macular degeneration via Vegf and Nrf2 pathway modulation

    Open Access•Guan-cheng Jiang, G-J Jiang et al.•ARTICLE•Journal of Ethnopharmacology•2026

    CME exerts dual anti-angiogenic and antioxidant effects in AMD models by simultaneously targeting VEGF-driven angiogenesis and oxidative stress, supporting its therapeutic potential as a safe and effective herbal intervention for neovascular AMD

Computer Science (2 works) · Data mining (2 works) · Mathematics (2 works) · Smart Parking Systems Research (2 works) · Algorithm (1 work) · Angiogenesis (1 work) · Antioxidant (1 work) · Applied Mathematics (1 work) · Artificial Intelligence (1 work) · Chrysanthemum morifolium (1 work)

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