[1]Yue-Jun Zhang, Jin-Li Wang. Do high-frequency stock market data help forecast crude oil prices? Evidence from the MIDAS models. Energy Economics, 2019, 78: 192-201. (SSCI)

[2]Yue-Jun Zhang, Ting Yao, Ling-Yun He, Ronald Ripple. Volatility forecasting of crude oil market: Can the regime switching GARCH models beat the single-regime GARCH models? International Review of Economics and Finance, 2019, 59: 302-317. (SSCI)

[3]Yue-Jun Zhang, Yan-Lin Jin, Bo Shen. Measuring the energy saving and CO2 emissions reduction potential under China’s Belt and Road Initiative. Computational Economics, 2018. In press. (SCI&SSCI) DOI: 10.1007/s10614-018-9839-0

[4]Yue-Jun Zhang, Jin-Liang Zhang. Volatility forecasting of crude oil market: A new hybrid method. Journal of Forecasting, 2018, 37: 781-789. (SSCI)

[5]Yue-Jun Zhang, Xiao-Juan Bian, Weiping Tan. The linkages of sectoral carbon dioxide emission caused by household consumption in China: evidence from the Hypothetical Extraction Method. Empirical Economics, 2018, 54(4): 1743-1775. (SSCI)

[6]Yue-Jun Zhang, Ming-Ying Chen. Evaluating the dynamic performance of energy portfolios: Empirical evidence from the DEA directional distance function. European Journal of Operational Research, 2018, 269(1): 64-78. (SCI&SSCI)

[7]Yue-Jun Zhang, Zhao Liu, Si-Ming Zhou, Chang-Xiong Qin, Huan Zhang. The impact of China’s Central Rise Policy on carbon emissions at the stage of operation in road sector. Economic Modelling. 2018, 71: 159-173. (SSCI)

[8]Yue-Jun Zhang, Ya-Fang Sun, Jun-Ling Huang. Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment. Energy Policy, 2018, 115: 119–130. (SCI&SSCI)

[9]Yue-Jun Zhang,Energy Economics, 2017, 68: 228-239. (SSCI)

[10]Yue-Jun Zhang, Xiao-Juan Bian, Weiping Tan, Juan Song. The indirect energy consumption and CO2 emission caused by household consumption in China: an analysis based on the Input-Output method. Journal of Cleaner Production, 2017, 163: 69-83. (SCI&SSCI)

[11]Yue-Jun Zhang, Jun-Fang Hao. Carbon emission quota allocation among China's industrial sectors based on the equity and efficiency principles. Annals of Operations Research, 2017, 255(1-2): 117-140. (SCI&SSCI)

[12]Yue-Jun Zhang, Hua-Rong Peng. Exploring the direct rebound effect of residential electricity consumption: an empirical study in China. Applied Energy, 2017, 196: 132-141. (SCI&SSCI)

[13]Jing-Li Fan, Yue-Jun Zhang*, Bing Wang. The impact of urbanization on residential energy consumption in China: an aggregated and disaggregated analysis. Renewable & Sustainable Energy Reviews, 2017, 75: 220-233. (SCI) (*通讯作者)

[14]Yue-Jun Zhang, Hua-Rong Peng, Bin Su. Energy rebound effect in China's Industry: an aggregate and disaggregate analysis. Energy Economics, 2017, 61: 199-208. (SSCI)

[15]Yue-Jun Zhang, Yu-Lu Peng, Chao-Qun Ma, Bo Shen. Can environmental innovation facilitate carbon emissions reduction? Evidence from China. Energy Policy, 2017, 100: 18-28. (SCI&SSCI)

[16]Yue-Jun Zhang, Zhao Liu*, Chang-Xiong Qin, Tai-De Tan. The direct and indirect CO2 rebound effect for private cars in China. Energy Policy, 2017, 100: 149-161. (SCI&SSCI)

[17]Yue-Jun Zhang, Yan-Lin Jin, Julien Chevallier, Bo Shen. The effect of corruption on carbon dioxide emissions in APEC countries: a panel quantile regression analysis. Technological Forecasting and Social Change, 2016, 112: 220-227. (SSCI)

[18]Yue-Jun Zhang, Jun-Fang Hao, Juan Song. The CO2 emission efficiency, reduction potential and spatial clustering in China's industry: evidence from the regional level. Applied Energy, 2016, 174: 213-223. (SCI&SSCI)

[19]Yue-Jun Zhang, Ting Yao. Interpreting the movement of oil prices: driven by fundamentals or bubbles?. Economic Modelling, 2016, 55: 226-240. (SSCI)

[20]Yue-Jun Zhang, Ya-Fang Sun. The dynamic volatility spillover between European carbon trading market and fossil energy market. Journal of Cleaner Production, 2016, 112(4): 2654–2663. (SCI&SSCI)

[21] Yue-Jun Zhang, Jun-Fang Hao. The evaluation of environmental capacity: evidence in Hunan province of China. Ecological Indicators, 2016, 60:514–523. (SCI)

[22]Yue-Jun Zhang, Hua-Rong Peng, Zhao Liu, Weiping Tan. Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach.Energy Policy, 2015, 87: 303-313. (SCI&SSCI)

[23]Yue-Jun Zhang, Ao-Dong Wang, Weiping Tan. The impact of China's carbon allowance allocation rules on the product prices and emission reduction behaviors of ETS-covered enterprises. Energy Policy, 2015, 86: 176-185. (SCI&SSCI)

[24] Jin-Liang Zhang, Yue-Jun Zhang*, Lu Zhang. A novel hybrid method for crude oil price forecasting. Energy Economics, 2015, 49: 649-659. (SSCI) (*通讯作者)

[25]Yue-Jun Zhang, Lu Zhang. Interpreting the crude oil price movements: evidence from the Markov regime switching model. Applied Energy, 2015, 143: 96-109. (SCI&SSCI)

[26] Yue-Jun Zhang, Ya-Bin Da. The decomposition of energy-related carbon emission and its decoupling with economic growth in China. Renewable & Sustainable Energy Reviews, 2015, 41: 1255-1266. (SCI)

[27] Yue-Jun Zhang, Ao-Dong Wang, Ya-Bin Da. Regional allocation of carbon emission quotas in China: evidence from the Shapley value method. Energy Policy, 2014, 74: 454-464. (SCI&SSCI)

[28] Gang Wu, Yue-Jun Zhang*. Does China factor matter? An econometric analysis of international crude oil prices. Energy Policy, 2014, 72: 78-86. (SCI&SSCI) (*通讯作者)

[29] Yue-Jun Zhang. Speculative trading and WTI crude oil futures price movement: an empirical analysis. Applied Energy, 2013, 107: 394-402. (SCI&SSCI)

[30] Yue-Jun Zhang, Zi-Yi Wang. Investigating the price discovery and risk transfer functions in the crude oil and gasoline futures markets: some empirical evidence. Applied Energy, 2013, 104: 220-228. (SCI&SSCI)

[31] Tian-Jian Yang, Yue-Jun Zhang*, Jin Huang, Ruo-Hong Peng. Estimating the energy saving potential of telecom operators in China. Energy Policy, 2013, 61: 448-459. (SCI&SSCI)（*通讯作者）

[32] Yue-Jun Zhang. Interpreting the dynamic nexus between energy consumption and economic growth: empirical evidence from Russia. Energy Policy, 2011, 39(5): 2265-2272. (SCI&SSCI)

[33] Yue-Jun Zhang. The impact of financial development on carbon emissions: an empirical analysis in China. Energy Policy, 2011, 39(4): 2197-2203. (SCI&SSCI)

[34] Yue-Jun Zhang, Yi-Ming Wei. The dynamic influence of advanced stock market risk on international crude oil return: an empirical analysis. Quantitative Finance, 2011, 11(7): 967-978. (SCI&SSCI)

[35] Yue-Jun Zhang, Yi-Ming Wei. The crude oil market and the gold market: evidence for cointegration, causality and price discovery. Resources Policy, 2010, 35(3): 168-177. (SSCI)

[36] Yue-Jun Zhang, Yi-Ming Wei. An overview of current research on EU ETS: evidence from its operating mechanism and economic effect. Applied Energy, 2010, 87(6): 1804-1814. (SCI&SSCI)

[37] Yue-Jun Zhang, Ying Fan, Hsien-Tang Tsai, Yi-Ming Wei. Spillover effect of US dollar exchange rate on oil prices. Journal of Policy Modeling, 2008, 30(6): 973-991.（SSCI）

[38] Ying Fan, Yue-Jun Zhang, Hsien-Tang Tsai, Yi-Ming Wei. Estimating ‘Value at Risk’ of crude oil price and its spillover effect using the GED approach. Energy Economics, 2008, 30(6): 3156-3171.（SSCI）

[39] Yue-Jun Zhang, Han Zhang. Volatility forecasting of crude oil market: Which structural change based GARCH models have better performance? The Energy Journal. 2023, 44(1): 175-193.

[40] Wei Wang, Yue-Jun Zhang*. Does China's carbon emissions trading scheme affect the market power of high-carbon enterprises? Energy Economics, 2022, 108: 105906.

[41] Yuan-Yuan Zhang, Yue-Jun Zhang*. The impact of institutional analyst forecast divergence on the crude oil market: Evidence from mixed-frequency models. International Review of Financial Analysis, 2022, 84: 102418.

[42] Yue-Jun Zhang, Wei Wang. How does China's carbon emissions trading (CET) policy affect the investment of CET-covered enterprises? Energy Economics, 2021, 98: 105224.

[43] Jing-Yue Liu, Richard Woodward*, Yue-Jun Zhang*. Has carbon emissions trading reduced PM2.5 in China? Environmental Science & Technology, 2021, 55(10): 6631-6643.

[44] Yue-Jun Zhang, Hao-Sen Cheng. The impact mechanism of ETS on CO2 emissions from the service sector: Evidence from Beijing and Shanghai. Technological Forecasting & Social Change, 2021,173: 121114.

[45] Zhao Liu, Chang-Xiong Qin, Yue-Jun Zhang*. Mining product competitiveness by fusing multisource online information. Decision Support Systems, 2021, 143: 113477.

[46] Yue-Jun Zhang, Lin Jiang, Wei Shi. Exploring the growth-adjusted energy-emission efficiency of transportation industry in China. Energy Economics, 2020, 90: 104873.

[47] Yue-Jun Zhang, Jing-Yue Liu, Bin Su. Carbon congestion effects in China's industry: evidence from provincial and sectoral levels. Energy Economics, 2020, 86. 104635.

[48] Yue-Jun Zhang, Ting Liang, Yan-Lin Jin, Bo Shen. The impact of carbon trading on economic output and carbon emissions reduction in China's industrial sectors. Applied Energy, 2020, 260: 114290.

[49] Yue-Jun Zhang, Shu-Jiao Ma. How to effectively estimate the time-varying risk spillover between crude oil and stock markets? Evidence from the expectile perspective. Energy Economics, 2019, 84: 104562.

[50] Yue-Jun Zhang, Wei Shi, Lin Jiang. Does China's carbon emissions trading policy improve the technology innovation of relevant enterprises? Business Strategy and the Environment, 2020, 29: 872-885.

[51] Chao Wang, Yue-Jun Zhang*. Does environmental regulation policy help improve green production performance? Evidence from China’s industry. Corporate Social Responsibility and Environmental Management, 2020, 27: 937-951.

[52] Yue-Jun Zhang, Jia-Juan Lin. Can the VAR model outperform MRS model for asset allocation in commodity market under different risk preferences of investors? International Review of Financial Analysis, 2019, 66: 101395.

[53] Yue-Jun Zhang, Shu-Hui Li. The impact of investor sentiment on crude oil market risks: Evidence from the wavelet approach. Quantitative Finance, 2019, 19(8): 1357-1371.

[54] Yue-Jun Zhang, Yao-Bin Wu. The time-varying spillover effect between WTI crude oil futures returns and hedge funds. International Review of Economics and Finance, 2019, 61: 156-169.

[55] Jin-Liang Zhang, Yue-Jun Zhang*, De-Zhi Li, Zhong-Fu Tan, Jian-Fei Ji. Forecasting day-ahead electricity prices using a new integrated model. International Journal of Electrical Power and Energy Systems, 2019, 105: 541-548.

1, 完善WO国碳排放交易制度研究. 国家社科基金重大项目. 2019-2022.

2, 中国碳排放配额交易对碳减排的影响机制建模及优化策略研究. 国家自然科学基金面上项目. 2018-2021.

3, 石油金融与碳金融系统建模. 国家自然科学基金优秀青年项目. 2014-2016.

4, 碳排放配额交易的市场机制与政策研究. 国家自然科学基金面上项目. 2013-2016.

5, 国际石油市场复杂系统投机泡沫机制及其实证研究. 国家自然科学基金青年项目. 2011-2013.

6, 国际石油市场投机泡沫复杂机制及其对油价波动的影响研究. 教育部博士点基金. 2011-2013.

7, 应对气候变化的碳交易市场机制与模型研究. 教育部人文社会科学研究基金项目. 2010-2012.

8,北京市金融发展对碳排放的复杂影响机制建模及实证研究. 北京市优 秀 人 才培养资助计划. 2012-2013.

9,世界主要城市煤炭清洁化管理经验借鉴. 北京节能环保中心. 2011-2012.

1, 2018年，教育部高等学校科学研究优秀成果奖自然科学奖二等奖（排名第一）

2, 2017年，第十三届湖南省社会科学优秀成果一等奖（排名第一）

3, 2016年，湖南省“湖湘青年英才”支持计划

4, 2014年，国家高层次人才特殊支持计划（即“万人计划”）青年拔尖人才

5, 2014年，教育部高等学校科学研究优秀成果奖科技进步奖二等奖（排名第六）

6, 2013年， 国家自然科学基金委优秀青年科学基金项目

7, 2012年，北京市中青年社科理论人才“百人工程”

8, 2011年，北京市优秀人才培养资助计划