Ling Tang

Affiliations:
  • University of Chinese Academy of Sciences, School of Economics and Management, Beijing, China
  • Beihang University, School of Economics and Management, Beijing, China
  • Beijing University of Chemical Technology, School of Economics and Management, Beijing, China
  • Chinese Academy of Sciences, Institute of Policy and Management, Beijing, China (PhD 2012)


According to our database1, Ling Tang authored at least 32 papers between 2009 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Big Data in Forecasting Research: A Literature Review.
Big Data Res., 2022

2021
Investigation of diversity strategies in RVFL network ensemble learning for crude oil price forecasting.
Soft Comput., 2021

2020
A Novel Integrated Measure for Energy Market Efficiency.
J. Syst. Sci. Complex., 2020

On the introduction of green product to a market with environmentally conscious consumers.
Comput. Ind. Eng., 2020

2019
A novel hybrid stock selection method with stock prediction.
Appl. Soft Comput., 2019

2018
A DBN-based resampling SVM ensemble learning paradigm for credit classification with imbalanced data.
Appl. Soft Comput., 2018

A non-iterative decomposition-ensemble learning paradigm using RVFL network for crude oil price forecasting.
Appl. Soft Comput., 2018

2017
A multi-agent-based online opinion dissemination model for China's crisis information release policy during hazardous chemical leakage emergencies into rivers.
Online Inf. Rev., 2017

LSSVR ensemble learning with uncertain parameters for crude oil price forecasting.
Appl. Soft Comput., 2017

An EEMD-based multi-scale fuzzy entropy approach for complexity analysis in clean energy markets.
Appl. Soft Comput., 2017

Forecasting Oil Price Trends with Sentiment of Online News Articles.
Asia Pac. J. Oper. Res., 2017

Sensitivity analysis of China's energy-related CO<sub>2</sub> emissions intensity for 2012 based on input-output Model.
Proceedings of the 5th International Conference on Information Technology and Quantitative Management, 2017

2016
Stock Selection with a Novel Sigmoid-Based Mixed Discrete-Continuous Differential Evolution Algorithm.
IEEE Trans. Knowl. Data Eng., 2016

A hybrid grid-GA-based LSSVR learning paradigm for crude oil price forecasting.
Neural Comput. Appl., 2016

Prediction-Based Multi-Objective Optimization for Oil Purchasing and Distribution with the NSGA-II Algorithm.
Int. J. Inf. Technol. Decis. Mak., 2016

A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting.
Eng. Appl. Artif. Intell., 2016

2015
A novel hybrid FA-Based LSSVR learning paradigm for hydropower consumption forecasting.
J. Syst. Sci. Complex., 2015

A Novel CEEMD-Based EELM Ensemble Learning Paradigm for Crude Oil Price Forecasting.
Int. J. Inf. Technol. Decis. Mak., 2015

A novel mode-characteristic-based decomposition ensemble model for nuclear energy consumption forecasting.
Ann. Oper. Res., 2015

Discovering the impact of systemic and idiosyncratic risk factors on credit spread of corporate bond within the framework of intelligent knowledge management.
Ann. Oper. Res., 2015

Economic and Environmental Effects of Coal Resource Tax Reform in China: Based on a Dynamic CGE Approach.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

A Novel Integrated Measure for Energy Market Efficiency.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

2014
A Novel Time Series Forecasting Approach Considering Data Characteristics.
Int. J. Knowl. Syst. Sci., 2014

Oil-importing optimal decision considering country risk with extreme events: A multi-objective programming approach.
Comput. Oper. Res., 2014

Nonlinearity Characteristic for Clean Energy Stock Market: An Integrated Exploration Approach.
Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization, 2014

2013
An Integrated Data Characteristic Testing Scheme for Complex Time Series Data Exploration.
Int. J. Inf. Technol. Decis. Mak., 2013

Energy Time Series Data Analysis based on a Novel Integrated Data Characteristic Testing Approach.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Coupling Firefly Algorithm and Least Squares Support Vector Regression for Crude Oil Price Forecasting.
Proceedings of the Sixth International Conference on Business Intelligence and Financial Engineering, 2013

2012
Country risk forecasting for major oil exporting countries: A decomposition hybrid approach.
Comput. Ind. Eng., 2012

2011
Exploring the Value at Risk of Oil-exporting Country Portfolio: An Empirical Analysis from the FSU Region.
Proceedings of the International Conference on Computational Science, 2011

2009
Modeling Dynamic Correlations and Spillover Effects of Country Risk: Evidence from Russia and Kazakhstan.
Int. J. Inf. Technol. Decis. Mak., 2009

Modeling on Oil-Importing Risk under Risk Correlation.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009


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