OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Time-varying network analysis of fluctuations between crude oil and Chinese and U.S. gold prices in different periods
Panpan Li, Zhiliang Dong
Resources Policy (2020) Vol. 68, pp. 101749-101749
Closed Access | Times Cited: 17

Showing 17 citing articles:

Unveiling the critical nexus: Volatility of crude oil future prices and trade partner’s cash holding behavior in the face of the Russia–Ukraine conflict
Dongyang Zhang, Cao Wang, Yizhi Wang
Energy Economics (2024) Vol. 132, pp. 107413-107413
Closed Access | Times Cited: 11

Can infectious disease pandemic impact the long-term volatility and correlation of gold and crude oil markets?
Yu Wei, Zhuo Wang, Dongxin Li, et al.
Finance research letters (2021) Vol. 47, pp. 102648-102648
Closed Access | Times Cited: 43

Can crude oil futures market volatility motivate peer firms in competing ESG performance? An exploration of Shanghai International Energy Exchange
Dongyang Zhang, Dingchuan Bai, Xingyu Chen
Energy Economics (2023) Vol. 129, pp. 107240-107240
Closed Access | Times Cited: 15

How the fiscal and monetary policy uncertainty of China respond to global oil price volatility: A multi-regime-on-scale approach
Qisheng Jiang, Sheng Cheng
Resources Policy (2021) Vol. 72, pp. 102121-102121
Closed Access | Times Cited: 27

Analysing and forecasting co-movement between innovative and traditional financial assets based on complex network and machine learning
Yang Zhou, Chi Xie, Gang‐Jin Wang, et al.
Research in International Business and Finance (2022) Vol. 64, pp. 101846-101846
Closed Access | Times Cited: 20

Evaluating the Safe-Haven Abilities of Bitcoin and Gold for Crude Oil Market: Evidence During the COVID-19 Pandemic
Qian Wang, Yu Wei, Yifeng Zhang, et al.
Evaluation Review (2022) Vol. 47, Iss. 3, pp. 391-432
Open Access | Times Cited: 17

Study on the nonlinear interactions among the international oil price, the RMB exchange rate and China's gold price
Zitao Zhang, Yun Qin
Resources Policy (2022) Vol. 77, pp. 102683-102683
Closed Access | Times Cited: 10

Study of the Modal Evolution of the Causal Relationship between Crude Oil, Gold, and Dollar Price Series
Yanjing Jia, Zhiliang Dong, Haigang An
International Journal of Energy Research (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 5

The Volatility Spillover Between Global Crude Oil and Gold Market: Evidence from Wavelet Coherence and Cross-power Spectrum Models
I. Sahadudheen, P. K. Santhosh Kumar
Computational Economics (2024)
Closed Access | Times Cited: 1

An interpretable machine-learned model for international oil trade network
Wen-Jie Xie, Na Wei, Wei‐Xing Zhou
Resources Policy (2023) Vol. 82, pp. 103513-103513
Open Access | Times Cited: 4

Incorporation of causality structures to complex network analysis of time-varying behaviour of multivariate time series
Leo Carlos-Sandberg, Christopher D. Clack
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 9

The Impacts of the Infectious Disease Epidemic on the Permanent Volatility of Precious Metal and Crude Oil Futures Markets: A Long-Term Perspective
Yue Shang, Xiaodan Chen, Yifeng Zhang, et al.
Discrete Dynamics in Nature and Society (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 5

The spillover and comovement of downside and upside tail risks among crude oil futures markets
Jie Yang, Yun Feng, Hao Yang
International Review of Financial Analysis (2024), pp. 103578-103578
Closed Access

Correlation change analysis and NDVI prediction in the Yellow River Basin of China using complex networks and GRNN-PSRLSTM
Ziqi Meng, Yanling Lu, Haixia Wang
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 11
Closed Access

A Deep Learning Ensemble Method for Forecasting Daily Crude Oil Price Based on Snapshot Ensemble of Transformer Model
Ahmed Fathalla, Zakaria Alameer, Mohamed Abbas, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 1, pp. 929-950
Open Access | Times Cited: 1

Forecasting gold and oil prices considering US-China trade war using vector autoregressive with exogenous input
Siti Maghfirotul Ulyah, Christopher Andreas, Ilma Amira Rahmayanti
AIP conference proceedings (2021) Vol. 2329, pp. 060020-060020
Closed Access | Times Cited: 3

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