Author

Yu Qiang Lin

Observed names: Lin Yu, Yu Lin

Institution: Chengdu University of Technology

Observed institutions: University of Science and Technology of China, Tianjin University, Chinese Academy of Sciences, Changjiang Water Resources Commission, Hefei Institutes of Physical Science, Chengdu University of Technology, First Affiliated Hospital of Guangzhou Medical University, Fuzhou Second Hospital, Fuzhou Maternity and Child Health Care Hospital, State Key Laboratory of Respiratory Disease, State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Guangzhou Laboratory, Changjiang River Scientific Research Institute, Guangzhou Institute of Respiratory Health, Xiamen University Tan Kah Kee College, Kunming Metallurgy College, Zhejiang University

ORCID: 0000-0001-8454-1848

Observed ORCID: 0000-0001-8454-1848

OpenAlex ID: A5101649523

Forecasting stock index price using the CEEMDAN-LSTM model

2021 · Yu Lin, Yan Yan, et al. · The North American Journal of Economics and Finance · 187

Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM

2022 · Yu Lin, Zixiao Lin, et al. · Expert Systems with Applications · 128

Forecasting crude oil futures prices using BiLSTM-Attention-CNN model with Wavelet transform

2022 · Yu Lin, Kechi Chen, et al. · Applied Soft Computing · 99

Forecasting crude oil price volatility via a HM-EGARCH model

2020 · Yu Lin, Yang Xiao, et al. · Energy Economics · 77

Forecasting energy prices using a novel hybrid model with variational mode decomposition

2022 · Yu Lin, Qin Lu, et al. · Energy · 58

Novel optimization approach for realized volatility forecast of stock price index based on deep reinforcement learning model

2023 · Yuanyuan Yu, Yu Lin, et al. · Expert Systems with Applications · 47

Predicting carbon futures prices based on a new hybrid machine learning: Comparative study of carbon prices in different periods

2023 · Xi Zhang, Kailing Yang, et al. · Journal of Environmental Management · 40

Financial market volatility and contagion effect: A copula–multifractal volatility approach

2013 · Wang Chen, Yu Wei, et al. · Physica A Statistical Mechanics and its Applications · 38

A novel hybrid model integrating modified ensemble empirical mode decomposition and LSTM neural network for multi-step precious metal prices prediction

2022 · Yu Lin, Qidong Liao, et al. · Resources Policy · 36

Fine Classification Method for Massive Microseismic Signals Based on Short-Time Fourier Transform and Deep Learning

2023 · Chunchi Ma, Xuefeng Ran, et al. · Remote Sensing · 30

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Predicting energy prices based on a novel hybrid machine learning: Comprehensive study of multi-step price forecasting

2024 · Kailing Yang, Xi Zhang, et al. · Energy · 24

An intelligent framework based on optimized variational mode decomposition and temporal convolutional network: Applications to stock index multi-step forecasting

2024 · Yuanyuan Yu, Dongsheng Dai, et al. · Expert Systems with Applications · 14

Parallel Processing Method for Microseismic Signal Based on Deep Neural Network

2023 · Chunchi Ma, Wenjin Yan, et al. · Remote Sensing · 12

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Predicting Natural Gas Prices Based on a Novel Hybrid Model with Variational Mode Decomposition

2023 · Qin Lu, Jingwen Liao, et al. · Computational Economics · 11

Can hybrid model improve the forecasting performance of stock price index amid COVID-19? Contextual evidence from the MEEMD-LSTM-MLP approach

2024 · Qu Yang, Yuanyuan Yu, et al. · The North American Journal of Economics and Finance · 9

Study on Site Construction Technology of Four-Graded RCC

2011 · Yu Qiang Lin, Yan Shi, et al. · Advanced materials research · 7

Forecasting natural gas prices using a novel hybrid model: Comparative study of different sliding windows

2025 · Yu Lin, Dongsheng Dai, et al. · Energy · 6

Forecasting Crude Oil Prices: Evidence From WOA-VMD-FE-Transformer Model

2025 · Liang Yu, Xi Zhang, et al. · Computational Economics · 6

Committee of Multi-scale Nonlinear Learning Frameworks for accurate stock price forecasting

2025 · Qian He, Yanhui Liang, et al. · Engineering Applications of Artificial Intelligence · 5

An Interactive Approach for Intuitionistic Fuzzy Data Envelopment Analysis

2024 · Qingping Gao, Yu Lin, et al. · IEEE Transactions on Fuzzy Systems · 5

Experimental Investigation on Thermal and Ignition Characteristics of Direct Current (DC) Series Arc in a Lab-Scale Photovoltaic (PV) System

2025 · Zhilong Wei, Lin Liu, et al. · Fire · 4

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Experimental investigation on direct current (DC) series arc characteristics and its ignition risk in the photovoltaic (PV) system

2025 · Zhilong Wei, Lin Liu, et al. · Process Safety and Environmental Protection · 3

A convolutional neural network approach to extract the beat frequency of reflectometry for real-time profile inversion on EAST

2025 · Zhen Zhou, Jia Huang, et al. · Fusion Engineering and Design · 3

An Automatic Baseline Extraction Algorithm for Intensity Absorption Type Gas Sensing

2013 · Yunwei Jia, Tiegen Liu, et al. · Journal of Lightwave Technology · 3

Rapid machine learning model for differentiating asthma and chronic obstructive pulmonary disease using age and blood parameters

2025 · Lin Yu, Zhaoming Hu, et al. · International Journal of Medical Informatics · 1

Works count: 37

Citation count: 854

H-index: 12

I10-index: 14