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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:

Text‐based soybean futures price forecasting: A two‐stage deep learning approach
Wuyue An, Lin Wang, Yu‐Rong Zeng
Journal of Forecasting (2022) Vol. 42, Iss. 2, pp. 312-330
Closed Access | Times Cited: 16

Showing 16 citing articles:

Agricultural Product Price Forecasting Methods: A Review
Feihu Sun, Xianyong Meng, Yan Zhang, et al.
Agriculture (2023) Vol. 13, Iss. 9, pp. 1671-1671
Open Access | Times Cited: 29
Transformer-based forecasting for intraday trading in the Shanghai crude oil market: Analyzing open-high-low-close prices
Wenyang Huang, Tianxiao Gao, Yun Hao, et al.
Energy Economics (2023) Vol. 127, pp. 107106-107106
Closed Access | Times Cited: 18
Comprehensive commodity price forecasting framework using text mining methods
Wuyue An, Lin Wang, Dongfeng Zhang
Journal of Forecasting (2023) Vol. 42, Iss. 7, pp. 1865-1888
Closed Access | Times Cited: 15
In-Season Price Forecasting in Cotton Futures Markets Using ARIMA, Neural Network, and LSTM Machine Learning Models
Jeffrey D. Vitale, John R. Robinson
Journal of risk and financial management (2025) Vol. 18, Iss. 2, pp. 93-93
Open Access
A multisource data‐driven combined forecasting model based on internet search keyword screening method for interval soybean futures price
Rui Luo, Jinpei Liu, Piao Wang, et al.
Journal of Forecasting (2023) Vol. 43, Iss. 2, pp. 366-390
Open Access | Times Cited: 11
Text‐based corn futures price forecasting using improved neural basis expansion network
Lin Wang, Wuyue An, Feng‐Ting Li
Journal of Forecasting (2024) Vol. 43, Iss. 6, pp. 2042-2063
Closed Access | Times Cited: 2
Soybean Futures Price Prediction Model Based on EEMD-NAGU
Jindian Liu, Bo Zhang, Tianhu Zhang, et al.
IEEE Access (2023) Vol. 11, pp. 99328-99338
Open Access | Times Cited: 5
Equivalent sentiment measures for cross-language analysis of corporate communications
Karol Marek Klimczak, Jan Makary Fryczak, Dominika Hadro, et al.
MethodsX (2024) Vol. 12, pp. 102745-102745
Open Access | Times Cited: 1
Social media-based multi-modal ensemble framework for forecasting soybean futures price
Wuyue An, Lin Wang, Yu‐Rong Zeng
Computers and Electronics in Agriculture (2024) Vol. 226, pp. 109439-109439
Closed Access | Times Cited: 1
The role of news sentiment in salmon price prediction using deep learning
Christian‐Oliver Ewald, Yaoyu Li
Journal of commodity markets (2024) Vol. 36, pp. 100438-100438
Open Access | Times Cited: 1
A deep learning model for online doctor rating prediction
Anurag Kulshrestha, Venkataraghavan Krishnaswamy, Mayank Sharma
Journal of Forecasting (2023) Vol. 42, Iss. 5, pp. 1245-1260
Closed Access | Times Cited: 4
Agricultural price forecasting based on the spatial and temporal influences factors under spillover effects
Dezhao Tang, Qiqi Cai, Tiandan Nie, et al.
Kybernetes (2023)
Closed Access | Times Cited: 2
Beyond News Headlines and TF-IDF: Enhancing Text-Based Forecasting Models with Validated Collocations and Improved Attention
Gabriel Abeyie
SSRN Electronic Journal (2024)
Closed Access
Forecasting Flower Prices by Long Short-Term Memory Model with Optuna
Chieh-Huang Chen, Ying-Lei Lin, Ping‐Feng Pai
Electronics (2024) Vol. 13, Iss. 18, pp. 3646-3646
Open Access
Advancements in Soybean Price Forecasting: Impact of AI and Critical Research Gaps in Global Markets
Fernando Dupin da Cunha Mello, Prashant Kumar, Erick Giovani Sperandio Nascimento
Economies (2024) Vol. 12, Iss. 11, pp. 310-310
Open Access
Urea price prediction based on encoder-decoder network: Improving encoder-decoder networks for urea price prediction
Hongwei Lyu, Xiumei Wang, Shaomin Mu
(2023), pp. 646-651
Closed Access
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