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M

Mingchen Li

china university of mining and technology

H指数:15

被引数:725

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A New Secondary Decomposition–Ensemble Approach for Tourism Demand Forecasting

一种用于旅游需求预测的新型次级分解-集合方法

Journal of Forecasting

IF2.7

2026-10-120

PRE

Forecasting fluctuations in agricultural markets: The power of secondary decomposition and neural networks

预测农产品市场波动：次级分解与神经网络的力量

chaos, solitons & fractals

IF0

2026-03-090

PRE

A comparative study of mode decomposition methods in crude oil forecasting

原油预测中模式分解方法的比较研究

Energy Economics

IF14.2

2025-08-270

PRE

A Deep Retrieval-Enhanced Meta-Learning Framework for Enzyme Optimum pH Prediction

一种基于深度检索增强的元学习框架，用于酶最适pH预测

JOURNAL OF CHEMICAL INFORMATION AND MODELING

IF5.3

2025-03-240

PRE

The impact of COVID-19 on global financial markets: A multiscale volatility spillover analysis

INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS

IF9.8

2024-10-010

PRE

PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications

JOURNAL OF CHEMINFORMATICS

IF5.7

2024-08-021

OAAI

Climate change and crude oil prices: An interval forecast model with interval-valued textual data

ENERGY ECONOMICS

IF14.2

2024-06-011

PRE

Adding double insurance to your investments: Evidence from the exchange rate market

ADVANCED ENGINEERING INFORMATICS

IF9.9

2024-04-010

PRE

An interval constraint-based trading strategy with social sentiment for the stock market

FINANCIAL INNOVATION

IF7.2

2024-02-104

OA

Fortify the investment performance of crude oil market by integrating sentiment analysis and an interval-based trading strategy

IF11

2024-01-016

PRE

Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach

TOURISM MANAGEMENT

IF12.4

2023-10-0117

OA

What can be learned from the historical trend of crude oil prices? An ensemble approach for crude oil price forecasting

ENERGY ECONOMICS

IF14.2

2023-07-0117

PRE

SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering

JOURNAL OF CHEMINFORMATICS

IF5.7

2023-02-0315

OAAI

Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm

EXPERT SYSTEMS WITH APPLICATIONS

IF7.5

2022-12-0116

PRE

Multi-scale analysis-driven tourism forecasting: insights from the peri-COVID-19

CURRENT ISSUES IN TOURISM

IF4.6

2022-11-236

PRE

A novel deep learning approach for tourism volume forecasting with tourist search data

一种基于游客搜索数据的深度学习旅游量预测方法

INTERNATIONAL JOURNAL OF TOURISM RESEARCH

IF5.7

2022-11-0724

PRE

Decomposition Methods for Tourism Demand Forecasting: A Comparative Study

JOURNAL OF TRAVEL RESEARCH

IF7

2021-10-1822

PRE

Electricity generation by two types of microbial fuel cells using nitrobenzene as the anodic or cathodic reactants

BIORESOURCE TECHNOLOGY

IF9

2010-06-0193

PREAI

Electricity generation from indole and microbial community analysis in the microbial fuel cell

JOURNAL OF HAZARDOUS MATERIALS

IF11.3

2010-04-1566

PREAI

Pyridine degradation in the microbial fuel cells

JOURNAL OF HAZARDOUS MATERIALS

IF11.3

2009-12-01112

PREAI