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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:

A novel text-based framework for forecasting agricultural futures using massive online news headlines
Jianping Li, Guowen Li, Mingxi Liu, et al.
International Journal of Forecasting (2020) Vol. 38, Iss. 1, pp. 35-50
Closed Access | Times Cited: 131

Showing 1-25 of 131 citing articles:

Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 3, pp. 705-871
Open Access | Times Cited: 551
Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S.
Jianping Li, Jingyu Li, Xiaoqian Zhu, et al.
International Review of Financial Analysis (2020) Vol. 71, pp. 101544-101544
Open Access | Times Cited: 163
Forecasting wholesale prices of yellow corn through the Gaussian process regression
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8693-8710
Closed Access | Times Cited: 138
Wholesale price forecasts of green grams using the neural network
Bingzi Jin, Xiaojie Xu
Asian Journal of Economics and Banking (2024)
Open Access | Times Cited: 97
Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat
Xiaojie Xu, Yun Zhang
Intelligent Systems in Accounting Finance & Management (2022) Vol. 29, Iss. 3, pp. 169-181
Closed Access | Times Cited: 75
Palladium Price Predictions via Machine Learning
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 50
Regional steel price index forecasts with neural networks: evidence from east, south, north, central south, northeast, southwest, and northwest China
Xiaojie Xu, Yun Zhang
The Journal of Supercomputing (2023) Vol. 79, Iss. 12, pp. 13601-13619
Closed Access | Times Cited: 42
Predictions of steel price indices through machine learning for the regional northeast Chinese market
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024) Vol. 36, Iss. 33, pp. 20863-20882
Closed Access | Times Cited: 42
Thermal coal futures trading volume predictions through the neural network
Bingzi Jin, Xiaojie Xu, Yun Zhang
Journal of Modelling in Management (2024)
Closed Access | Times Cited: 28
Platinum and palladium price forecasting through neural networks
Xiaojie Xu, Yun Zhang
Communications in Statistics - Simulation and Computation (2024), pp. 1-15
Closed Access | Times Cited: 19
Machine learning price index forecasts of flat steel products
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 16
Forecasting the price of Bitcoin using deep learning
Mingxi Liu, Guowen Li, Jianping Li, et al.
Finance research letters (2020) Vol. 40, pp. 101755-101755
Closed Access | Times Cited: 104
Soybean and Soybean Oil Price Forecasting through the Nonlinear Autoregressive Neural Network (NARNN) and NARNN with Exogenous Inputs (NARNN–X)
Xiaojie Xu, Yun Zhang
Intelligent Systems with Applications (2022) Vol. 13, pp. 200061-200061
Open Access | Times Cited: 55
Carbon price prediction considering climate change: A text-based framework
Qiwei Xie, Jingjing Hao, Jingyu Li, et al.
Economic Analysis and Policy (2022) Vol. 74, pp. 382-401
Closed Access | Times Cited: 54
Canola and soybean oil price forecasts via neural networks
Xiaojie Xu, Yun Zhang
Advances in Computational Intelligence (2022) Vol. 2, Iss. 5
Open Access | Times Cited: 43
A new secondary decomposition-reconstruction-ensemble approach for crude oil price forecasting
Jingyun Sun, Zhao Panpan, Shaolong Sun
Resources Policy (2022) Vol. 77, pp. 102762-102762
Closed Access | Times Cited: 42
A bi‐level ensemble learning approach to complex time series forecasting: Taking exchange rates as an example
Jun Hao, Qian Feng, Jianping Li, et al.
Journal of Forecasting (2023) Vol. 42, Iss. 6, pp. 1385-1406
Closed Access | Times Cited: 40
Price forecasts of ten steel products using Gaussian process regressions
Xiaojie Xu, Yun Zhang
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106870-106870
Closed Access | Times Cited: 40
Steel price index forecasting through neural networks: the composite index, long products, flat products, and rolled products
Xiaojie Xu, Yun Zhang
Mineral Economics (2022) Vol. 36, Iss. 4, pp. 563-582
Closed Access | Times Cited: 39
Yellow corn wholesale price forecasts via the neural network
Xiaojie Xu, Yun Zhang
EconomiA (2023) Vol. 24, Iss. 1, pp. 44-67
Open Access | Times Cited: 37
Extreme risk spillovers among traditional financial and FinTech institutions: A complex network perspective
Shigang Wen, Jianping Li, Chuangxia Huang, et al.
The Quarterly Review of Economics and Finance (2023) Vol. 88, pp. 190-202
Closed Access | Times Cited: 36
Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? Mixed-data sampling approach
Jing Wu, Mingchen Li, Erlong Zhao, et al.
Tourism Management (2023) Vol. 98, pp. 104759-104759
Open Access | Times Cited: 35
Corn cash-futures basis forecasting via neural networks
Xiaojie Xu, Yun Zhang
Advances in Computational Intelligence (2023) Vol. 3, Iss. 2
Closed Access | Times Cited: 35
An enhanced hybrid model based on multiple influencing factors and divide-conquer strategy for carbon price prediction
Jujie Wang, Zhenzhen Zhuang, Dongming Gao
Omega (2023) Vol. 120, pp. 102922-102922
Closed Access | Times Cited: 35
Scrap steel price forecasting with neural networks for east, north, south, central, northeast, and southwest China and at the national level
Xiaojie Xu, Yun Zhang
Ironmaking & Steelmaking Processes Products and Applications (2023) Vol. 50, Iss. 11, pp. 1683-1697
Closed Access | Times Cited: 31
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