Xingyu Dai

846 total citations · 1 hit paper
26 papers, 664 citations indexed

About

Xingyu Dai is a scholar working on Economics and Econometrics, Renewable Energy, Sustainability and the Environment and Finance. According to data from OpenAlex, Xingyu Dai has authored 26 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Economics and Econometrics, 9 papers in Renewable Energy, Sustainability and the Environment and 6 papers in Finance. Recurrent topics in Xingyu Dai's work include Market Dynamics and Volatility (23 papers), Energy, Environment, Economic Growth (12 papers) and Energy, Environment, and Transportation Policies (5 papers). Xingyu Dai is often cited by papers focused on Market Dynamics and Volatility (23 papers), Energy, Environment, Economic Growth (12 papers) and Energy, Environment, and Transportation Policies (5 papers). Xingyu Dai collaborates with scholars based in China, United Kingdom and Hong Kong. Xingyu Dai's co-authors include Qunwei Wang, Dequn Zhou, Ling Xiao, Donglan Zha, Gurjeet Dhesi, Liangkai Chen, Kunming Tian, Lin Zhu, Yuanzhong Zhou and Chi Keung Marco Lau and has published in prestigious journals such as Applied Energy, Energy Policy and Energy Economics.

In The Last Decade

Xingyu Dai

26 papers receiving 650 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A hybrid model for carbon price forecasting using GARCH and long short-term memory network

2021 230 citations Xingyu Dai, Qunwei Wang et al. Applied Energy profile →

Peers

Xingyu Dai

EE

RESE

EEE

MSOR

FINAN

Aitor Ciarreta Spain

Kais Tissaoui Saudi Arabia

Ya-Fang Sun China

François Benhmad France

Juan Rosellón Mexico

Meng Qin China

Mario Liebensteiner Austria

Olivier Massol France

Günther Westner Germany

David Alemzero China

Aitor Ciarreta Spain

Xingyu Dai

444 ×0.9

EE

320 ×1.6

RESE

339 ×2.8

EEE

62 ×0.6

MSOR

43 ×0.6

FINAN

Citations per year, relative to Xingyu Dai Xingyu Dai (= 1×) peers Aitor Ciarreta

Countries citing papers authored by Xingyu Dai

Since Specialization

Citations

This map shows the geographic impact of Xingyu Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xingyu Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyu Dai more than expected).

Fields of papers citing papers by Xingyu Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xingyu Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xingyu Dai. The network helps show where Xingyu Dai may publish in the future.

Co-authorship network of co-authors of Xingyu Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xingyu Dai. A scholar is included among the top collaborators of Xingyu Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xingyu Dai. Xingyu Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Dai, Xingyu, et al.. (2025). Do green assets enhance portfolio optimization? A multi-horizon investing perspective. The British Accounting Review. 57(5). 101612–101612. 2 indexed citations

2.

Dai, Xingyu, Imran Yousaf, Jiqian Wang, Qunwei Wang, & Chi Keung Marco Lau. (2025). The pass-through of macro variable to volatility co-movement among U.S. currency and commodity futures markets system. Journal of commodity markets. 38. 100463–100463. 2 indexed citations

3.

Dai, Xingyu, et al.. (2025). Multi-objective carbon-energy portfolio optimization under investment horizon heterogeneity. Research in International Business and Finance. 79. 103036–103036. 1 indexed citations

4.

Lau, Chi Keung Marco, et al.. (2025). Detecting the macro drivers in the Australian National Electricity Market asymmetric volatility co-movement. Energy Economics. 143. 108242–108242. 1 indexed citations

5.

Dai, Xingyu, et al.. (2024). Incorporating weather information into commodity portfolio optimization. Finance research letters. 66. 105672–105672. 7 indexed citations

6.

Dai, Xingyu, et al.. (2024). Tail risk spillover network among green bond, energy and agricultural markets under extreme weather scenarios. International Review of Economics & Finance. 96. 103707–103707. 4 indexed citations

7.

Dai, Xingyu, et al.. (2024). The tail risk safe haven property of China's energy futures against US market implied volatility. Journal of Management Science and Engineering. 9(2). 271–291. 3 indexed citations

8.

Dai, Xingyu, Roy Cerqueti, Qunwei Wang, & Ling Xiao. (2023). Volatility forecasting: a new GARCH-type model for fuzzy sets-valued time series. Annals of Operations Research. 348(1). 735–775. 1 indexed citations

9.

Wu, Dan, et al.. (2023). Pass-through from temperature intervals to China's commodity futures’ interval-valued returns: Evidence from the varying-coefficient ITS model. Finance research letters. 58. 104289–104289. 3 indexed citations

10.

Zhu, Lin, et al.. (2023). Transport of microplastics in the body and interaction with biological barriers, and controlling of microplastics pollution. Ecotoxicology and Environmental Safety. 255. 114818–114818. 60 indexed citations

11.

Dai, Xingyu, et al.. (2023). Multiobjective portfolio optimization: Forecasting and evaluation under investment horizon heterogeneity. Journal of Forecasting. 42(8). 2167–2196. 8 indexed citations

12.

Wan, Ning, et al.. (2022). China's energy stock market jumps: To what extent does the COVID-19 pandemic play a part?. Energy Economics. 109. 105937–105937. 34 indexed citations

13.

Wang, Qunwei, et al.. (2022). Conditional sovereign CDS in market basket risk scenario: A dynamic vine-copula analysis. International Review of Financial Analysis. 80. 102025–102025. 9 indexed citations

14.

Dai, Xingyu, et al.. (2022). COVID-19 and China commodity price jump behavior: An information spillover and wavelet coherency analysis. Resources Policy. 79. 103055–103055. 16 indexed citations

15.

Dai, Xingyu, et al.. (2022). Toward energy finance market transition: Does China’s oil futures shake up global spots market?. Frontiers of Engineering Management. 9(3). 409–424. 17 indexed citations

16.

Zhao, Yi, et al.. (2022). Do weather conditions drive China's carbon-coal-electricity markets systemic risk? A multi-timescale analysis. Finance research letters. 51. 103432–103432. 14 indexed citations

17.

Dai, Xingyu, et al.. (2021). A hybrid model for carbon price forecasting using GARCH and long short-term memory network. Applied Energy. 285. 116485–116485. 230 indexed citations breakdown →

18.

Miao, Xiaoyu, Qunwei Wang, & Xingyu Dai. (2021). Is oil-gas price decoupling happening in China? A multi-scale quantile-on-quantile approach. International Review of Economics & Finance. 77. 450–470. 11 indexed citations

19.

Dai, Xingyu, Qunwei Wang, Donglan Zha, & Dequn Zhou. (2020). Multi-scale dependence structure and risk contagion between oil, gold, and US exchange rate: A wavelet-based vine-copula approach. Energy Economics. 88. 104774–104774. 87 indexed citations

20.

Wang, Qunwei, Xingyu Dai, & Dequn Zhou. (2018). Dynamic Correlation and Risk Contagion Between “Black” Futures in China: A Multi-scale Variational Mode Decomposition Approach. Computational Economics. 55(4). 1117–1150. 19 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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