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Shangkun Deng

Observed names: S. Deng, S.F. Deng
ORCID: 0000-0002-6041-485X
Observed ORCID: 0000-0002-6041-485X
OpenAlex ID: A5015371452
Forecasting carbon price trends based on an interpretable light gradient boosting machine and Bayesian optimization
2023 · Shangkun Deng, Jiankang Su, et al. · Expert Systems with Applications · 93
A gradient boosting decision tree approach for insider trading identification: An empirical model evaluation of China stock market
2019 · Shangkun Deng, Chenguang Wang, et al. · Applied Soft Computing · 75
Integrating supplier selection in optimal product family design
2011 · X.G. Luo, C.K. Kwong, et al. · International Journal of Production Research · 60
Integrated product line design and supplier selection: A multi-objective optimization paradigm
2014 · S. Deng, R. Aydin, et al. · Computers & Industrial Engineering · 56
An integrated approach of ensemble learning methods for stock index prediction using investor sentiments
2023 · Shangkun Deng, Yingke Zhu, et al. · Expert Systems with Applications · 52
Stock index direction forecasting using an explainable eXtreme Gradient Boosting and investor sentiments
2022 · Shangkun Deng, Xiaoru Huang, et al. · The North American Journal of Economics and Finance · 44
The profitability of Ichimoku Kinkohyo based trading rules in stock markets and FX markets
2020 · Shangkun Deng, Haoran Yu, et al. · International Journal of Finance & Economics · 26
Dynamic forecasting of the Shanghai Stock Exchange index movement using multiple types of investor sentiment
2022 · Shangkun Deng, Chongyi Xiao, et al. · Applied Soft Computing · 25
High-frequency forecasting of the crude oil futures price with multiple timeframe predictions fusion
2023 · Shangkun Deng, Yingke Zhu, et al. · Expert Systems with Applications · 24
An Intelligent System for Insider Trading Identification in Chinese Security Market
2020 · Shangkun Deng, Chenguang Wang, et al. · Computational Economics · 24
Financial risk forewarning with an interpretable ensemble learning approach: An empirical analysis based on Chinese listed companies
2024 · Shangkun Deng, Qunfang Luo, et al. · Pacific-Basin Finance Journal · 22
High-frequency direction forecasting and simulation trading of the crude oil futures using Ichimoku KinkoHyo and Fuzzy Rough Set
2022 · Shangkun Deng, Chongyi Xiao, et al. · Expert Systems with Applications · 21
A hybrid method for crude oil price direction forecasting using multiple timeframes dynamic time wrapping and genetic algorithm
2019 · Shangkun Deng, Youtao Xiang, et al. · Applied Soft Computing · 21
Stock Price Crash Warning in the Chinese Security Market Using a Machine Learning-Based Method and Financial Indicators
2022 · Shangkun Deng, Yingke Zhu, et al. · Systems · 20
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A Decision Support System for Trading in Apple Futures Market Using Predictions Fusion
2020 · Shangkun Deng, Xiaoru Huang, et al. · IEEE Access · 20
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A novel hybrid method for direction forecasting and trading of Apple Futures
2021 · Shangkun Deng, Xiaoru Huang, et al. · Applied Soft Computing · 18
Identification of Insider Trading Using Extreme Gradient Boosting and Multi-Objective Optimization
2019 · Shangkun Deng, Chenguang Wang, et al. · Information · 16
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Multi-sentiment fusion for stock price crash risk prediction using an interpretable ensemble learning method
2024 · Shangkun Deng, Qunfang Luo, et al. · Engineering Applications of Artificial Intelligence · 13
High-Frequency Direction Forecasting of the Futures Market Using a Machine-Learning-Based Method
2022 · Shangkun Deng, Yingke Zhu, et al. · Future Internet · 9
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Financial distress warning and risk path analysis for Chinese listed companies: An interpretable machine learning approach
2025 · Shangkun Deng, Yongqi Li, et al. · Economic Modelling · 6
Combining Multiple Kernel Learning and Genetic Algorithm for Forecasting Short Time Foreign Exchange Rate
2011 · Shangkun Deng, Akito Sakurai · 4
Financial Futures Prediction Using Fuzzy Rough Set and Synthetic Minority Oversampling Technique
2022 · Shangkun Deng, Yingke Zhu, et al. · Advances in Mathematical Physics · 3
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Can Japanese Candlestick Patterns be Profitable on the Component Stocks of the SSE50 Index?
2022 · Shangkun Deng, Zhihao Su, et al. · SAGE Open · 3
Financial Time Series Prediction with Information Fusion(本文)
2014 · Shangkun Deng · Institutional Repositories DataBase (IRDB)
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Works count: 24
Citation count: 655
H-index: 16
I10-index: 18
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