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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:

Prediction of soybean price in China using QR-RBF neural network model
Dongqing Zhang, Guangming Zang, Jing Li, et al.
Computers and Electronics in Agriculture (2018) Vol. 154, pp. 10-17
Closed Access | Times Cited: 84

Showing 1-25 of 84 citing articles:

Corn cash price forecasting with neural networks
Xiaojie Xu, Yun Zhang
Computers and Electronics in Agriculture (2021) Vol. 184, pp. 106120-106120
Closed Access | Times Cited: 139
Forecasting Agricultural Commodity Prices Using Model Selection Framework With Time Series Features and Forecast Horizons
Dabin Zhang, Shanying Chen, Liwen Ling, et al.
IEEE Access (2020) Vol. 8, pp. 28197-28209
Open Access | Times Cited: 79
STL-ATTLSTM: Vegetable Price Forecasting Using STL and Attention Mechanism-Based LSTM
Helin Yin, Jin Dong, Yeong Hyeon Gu, et al.
Agriculture (2020) Vol. 10, Iss. 12, pp. 612-612
Open Access | Times Cited: 71
Storylines of weather-induced crop failure events under climate change
Henrique Moreno Dumont Goulart, Karin van der Wiel, Christian Folberth, et al.
Earth System Dynamics (2021) Vol. 12, Iss. 4, pp. 1503-1527
Open Access | Times Cited: 64
Forecasting the crude oil prices with an EMD-ISBM-FNN model
Tianhui Fang, Chunling Zheng, Donghua Wang
Energy (2022) Vol. 263, pp. 125407-125407
Closed Access | Times Cited: 40
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: 31
Increase of Simultaneous Soybean Failures Due To Climate Change
Henrique Moreno Dumont Goulart, Karin van der Wiel, Christian Folberth, et al.
Earth s Future (2023) Vol. 11, Iss. 4
Open Access | Times Cited: 27
Demand prediction and regulation zoning of urban-industrial land: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China
Chenxi Li, Xing Gao, Jingyao Wu, et al.
Environmental Monitoring and Assessment (2019) Vol. 191, Iss. 7
Closed Access | Times Cited: 74
Time Series Prediction with Artificial Neural Networks: An Analysis Using Brazilian Soybean Production
Emerson Rodolfo Abraham, João Gilberto Mendes dos Reis, Oduvaldo Vendrametto, et al.
Agriculture (2020) Vol. 10, Iss. 10, pp. 475-475
Open Access | Times Cited: 67
Agricultural product price forecasting methods: research advances and trend
Luyao Wang, Jianying Feng, Xiaojie Sui, et al.
British Food Journal (2020) Vol. 122, Iss. 7, pp. 2121-2138
Closed Access | Times Cited: 63
Optimized neural network combined model based on the induced ordered weighted averaging operator for vegetable price forecasting
Bo Li, Junqi Ding, Zhengqing Yin, et al.
Expert Systems with Applications (2020) Vol. 168, pp. 114232-114232
Closed Access | Times Cited: 51
Tunnel construction ventilation frequency-control based on radial basis function neural network
Rong Liu, Yi He, Yunfeng Zhao, et al.
Automation in Construction (2020) Vol. 118, pp. 103293-103293
Closed Access | Times Cited: 50
A Review of the Applications of Genetic Algorithms to Forecasting Prices of Commodities
Krzysztof Drachal, Michal E. Pawlowski
Economies (2021) Vol. 9, Iss. 1, pp. 6-6
Open Access | Times Cited: 44
Agricultural commodity futures prices prediction based on a new hybrid forecasting model combining quadratic decomposition technology and LSTM model
Tingting Zhang, Zhenpeng Tang
Frontiers in Sustainable Food Systems (2024) Vol. 8
Open Access | Times Cited: 6
Machine Learning for Price Prediction for Agricultural Products
Sussy Bayona-Oré, Rino Cerna, Eduardo Tirado Hinojoza
WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS (2021) Vol. 18, pp. 969-977
Open Access | Times Cited: 38
Nondestructive prediction of freshness for bighead carp (Hypophthalmichthys nobilis) head by Excitation-Emission Matrix (EEM) analysis based on fish eye fluid: Comparison of BPNNs and RBFNNs
X. D. Shi, Jiaran Zhang, Ce Shi, et al.
Food Chemistry (2022) Vol. 382, pp. 132341-132341
Closed Access | Times Cited: 27
Using a novel clustered 3D-CNN model for improving crop future price prediction
Liege Cheung, Yun Wang, Adela S. M. Lau, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110133-110133
Open Access | Times Cited: 24
Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series
Matheus Henrique Dal Molin Ribeiro, Víctor Henrique Alves Ribeiro, Gilberto Reynoso-Meza, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2019), pp. 1-8
Closed Access | Times Cited: 38
Modeling and Forecasting Commodity Futures Prices: Decomposition Approach
Emmanuel Antwi, Emmanuel Numapau Gyamfi, Kwabena A. Kyei, et al.
IEEE Access (2022) Vol. 10, pp. 27484-27503
Open Access | Times Cited: 22
Application of Computational Intelligence Methods in Agricultural Soil–Machine Interaction: A Review
Chetan Badgujar, Sanjoy Das, Dania Martinez Figueroa, et al.
Agriculture (2023) Vol. 13, Iss. 2, pp. 357-357
Open Access | Times Cited: 11
Persistent La Niñas drive joint soybean harvest failures in North and South America
Raed Hamed, Sem Vijverberg, Anne F. Van Loon, et al.
Earth System Dynamics (2023) Vol. 14, Iss. 1, pp. 255-272
Open Access | Times Cited: 11
An Innovative Hybrid LightGBM-BPNN Model for Enhanced Commodity Forecasting Accuracy
Apostolos Ampountolas, Sayed AlGharbi
(2025), pp. 100004-100004
Open Access
Determining Optimal Lag Time Selection Function with Novel Machine Learning Strategies for Better Agricultural Commodity Prices Forecasting in Malaysia
Zhiyuan Chen, Wong Weng San, Teo Wing Leong
(2020), pp. 37-42
Closed Access | Times Cited: 26
Link between Financial Management Behaviours and Quality of Relationship and Overall Life Satisfaction among Married and Cohabiting Couples: Insights from Application of Artificial Neural Networks
Monika Baryła‐Matejczuk, Viktorija Skvarciany, Andrzej Cwynar, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 4, pp. 1190-1190
Open Access | Times Cited: 24
Development of a Predictive Model for Agave Prices Employing Environmental, Economic, and Social Factors: Towards a Planned Supply Chain for Agave-Tequila Industry
Walter M. Warren‐Vega, David E. Aguilar-Hernández, Ana I. Zárate‐Guzmán, et al.
Foods (2022) Vol. 11, Iss. 8, pp. 1138-1138
Open Access | Times Cited: 14
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