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A novel causality-centrality-based method for the analysis of the impacts of air pollutants on PM2.5 concentrations in China

Scientific reports, 2021-03, Vol.11 (1), p.6960-6960, Article 6960

Wang, Bocheng

2021

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A novel joint HCPMMP method for automatically classifying Alzheimer’s and different stage MCI patients

Behavioural brain research, 2019-06, Vol.365, p.210-221

2019

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Exploring intricate connectivity patterns for cognitive functioning and neurological disorders: incorporating frequency-domain NC method into fMRI analysis

Cerebral cortex (New York, N.Y. 1991), 2024-05, Vol.34 (5)

Wang, Bocheng

2024

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Energy stress modulation of AMPK/FoxO3 signaling inhibits mitochondria-associated ferroptosis

Redox biology, 2023-07, Vol.63, p.102760-102760, Article 102760

2023

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A novel particle swarm optimization based on hybrid-learning model

Mathematical biosciences and engineering : MBE, 2023-01, Vol.20 (4), p.7056-7087

2023

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The evolved kurtogram: a novel repetitive transients extraction method for bearing fault diagnosis

Journal of mechanical science and technology, 2022-12, Vol.36 (12), p.5895-5913

2022

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An improved empirical Fourier decomposition method and its application in fault diagnosis of rolling bearing

Journal of Mechanical Science and Technology, 2024, 38(3), , pp.1089-1100

2024

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Cancer-associated Fibroblasts Promote Irradiated Cancer Cell Recovery Through Autophagy

EBioMedicine, 2017-03, Vol.17 (C), p.45-56

2017

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Enhanced brain efficiency network by integrating the new causality with fMRI and its application for Alzheimer’s Disease study

Biomedical signal processing and control, 2023-09, Vol.86, p.105364, Article 105364

Wang, Bocheng

2023

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A Prognostic Model Generated from an Apparent Diffusion Coefficient Ratio Reliably Predicts the Outcomes of Oral Tongue Squamous Cell Carcinoma

Current oncology (Toronto), 2022-11, Vol.29 (12), p.9031-9045

2022

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Connectivity and variability of related cognitive subregions lead to different stages of progression toward Alzheimer's disease

Heliyon, 2022-01, Vol.8 (1), p.e08827-e08827, Article e08827

2022

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Identifying and characterizing different stages toward Alzheimer's disease using ordered core features and machine learning

Heliyon, 2021-06, Vol.7 (6), p.e07287-e07287, Article e07287

2021

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Intracranial lymphatic drainage discharges iron from the ventricles and reduce the occurrence of chronic hydrocephalus after intraventricular hemorrhage in rats

International journal of neuroscience, 2020-02, Vol.130 (2), p.130-135

2020

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Arrhythmia Disease Diagnosis Based on ECG Time-Frequency Domain Fusion and Convolutional Neural Network

IEEE journal of translational engineering in health and medicine, 2023-01, Vol.11, p.116-125

2023

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Effect of Poly(styrene- ran -methyl acrylate) Inclusion on the Compatibility of Polylactide/Polystyrene- b -Polybutadiene- b -Polystyrene Blends Characterized by Morphological, Thermal, Rheological, and Mechanical Measurements

Polymers, 2019-05, Vol.11 (5), p.846

2019

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Can Resource Dependency and Corporate Social Responsibility Drive Green Innovation Performance?

Sustainability, 2024-06, Vol.16 (11), p.4848

2024

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Applying Machine-Learning Methods Based on Causality Analysis to Determine Air Quality in China

Polish journal of environmental studies, 2019-01, Vol.28 (5), p.3877-3885

Wang, Bocheng

2019

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Canstatin represses glioma growth by inhibiting formation of VM-like structures

Translational neuroscience, 2021-08, Vol.12 (1), p.309-319

2021

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Analyzing the role of environmental policy innovations and natural resource management in driving circular economy forward: Evidence from BRICS economies

Journal of environmental management, 2024-12, Vol.371, p.123252, Article 123252

2024

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A novel causality-centrality-based method for the analysis of the impacts of air pollutants on PM 2.5 concentrations in China

Scientific reports, 2021-03, Vol.11 (1), p.6960

Wang, Bocheng

2021

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Robust Subcluster Search and Mergence Clustering

IEEE transactions on cybernetics, 2024-09, Vol.PP, p.1-13

2024

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Personal credit default prediction fusion framework based on self-attention and cross-network algorithms

Engineering applications of artificial intelligence, 2024-07, Vol.133, p.107977, Article 107977

2024

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Clustering Group-Sparse Mode Decomposition and Its Application in Rolling Bearing Fault Diagnosis

IEEE transactions on instrumentation and measurement, 2022, Vol.71, p.1-11

2022

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LEST: Large language models and spatio-temporal data analysis for enhanced Sino-US exchange rate forecasting

International review of economics & finance, 2024-11, Vol.96, p.103508, Article 103508

2024

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Research on Time Sidelobe Analysis on Pulse Compression Signal

Journal of physics. Conference series, 2022-11, Vol.2366 (1), p.12022

2022

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A novel causality-centrality-based method for the analysis of the impacts of air pollutants on PM2.5 concentrations in China

A novel joint HCPMMP method for automatically classifying Alzheimer’s and different stage MCI patients

Exploring intricate connectivity patterns for cognitive functioning and neurological disorders: incorporating frequency-domain NC method into fMRI analysis

Energy stress modulation of AMPK/FoxO3 signaling inhibits mitochondria-associated ferroptosis

A novel particle swarm optimization based on hybrid-learning model

The evolved kurtogram: a novel repetitive transients extraction method for bearing fault diagnosis

An improved empirical Fourier decomposition method and its application in fault diagnosis of rolling bearing

Cancer-associated Fibroblasts Promote Irradiated Cancer Cell Recovery Through Autophagy

Enhanced brain efficiency network by integrating the new causality with fMRI and its application for Alzheimer’s Disease study

A Prognostic Model Generated from an Apparent Diffusion Coefficient Ratio Reliably Predicts the Outcomes of Oral Tongue Squamous Cell Carcinoma

Connectivity and variability of related cognitive subregions lead to different stages of progression toward Alzheimer's disease

Identifying and characterizing different stages toward Alzheimer's disease using ordered core features and machine learning

Intracranial lymphatic drainage discharges iron from the ventricles and reduce the occurrence of chronic hydrocephalus after intraventricular hemorrhage in rats

Arrhythmia Disease Diagnosis Based on ECG Time-Frequency Domain Fusion and Convolutional Neural Network

Effect of Poly(styrene- ran -methyl acrylate) Inclusion on the Compatibility of Polylactide/Polystyrene- b -Polybutadiene- b -Polystyrene Blends Characterized by Morphological, Thermal, Rheological, and Mechanical Measurements

Can Resource Dependency and Corporate Social Responsibility Drive Green Innovation Performance?

Applying Machine-Learning Methods Based on Causality Analysis to Determine Air Quality in China

Canstatin represses glioma growth by inhibiting formation of VM-like structures

Analyzing the role of environmental policy innovations and natural resource management in driving circular economy forward: Evidence from BRICS economies

A novel causality-centrality-based method for the analysis of the impacts of air pollutants on PM 2.5 concentrations in China

Robust Subcluster Search and Mergence Clustering

Personal credit default prediction fusion framework based on self-attention and cross-network algorithms

Clustering Group-Sparse Mode Decomposition and Its Application in Rolling Bearing Fault Diagnosis

LEST: Large language models and spatio-temporal data analysis for enhanced Sino-US exchange rate forecasting

Research on Time Sidelobe Analysis on Pulse Compression Signal

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