
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:
Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices
Krzysztof Drachal
Sustainability (2018) Vol. 10, Iss. 8, pp. 2801-2801
Open Access | Times Cited: 13
Krzysztof Drachal
Sustainability (2018) Vol. 10, Iss. 8, pp. 2801-2801
Open Access | Times Cited: 13
Showing 13 citing articles:
Agricultural Price Prediction Based on Combined Forecasting Model under Spatial-Temporal Influencing Factors
Yan Guo, Dezhao Tang, Wei Tang, et al.
Sustainability (2022) Vol. 14, Iss. 17, pp. 10483-10483
Open Access | Times Cited: 28
Yan Guo, Dezhao Tang, Wei Tang, et al.
Sustainability (2022) Vol. 14, Iss. 17, pp. 10483-10483
Open Access | Times Cited: 28
Do gasoline and diesel prices co-move? Evidence from the time–frequency domain
Mihai Mutaşcu, Claudiu Tiberiu Albulescu, Nicholas Apergis, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 45, pp. 68776-68795
Open Access | Times Cited: 22
Mihai Mutaşcu, Claudiu Tiberiu Albulescu, Nicholas Apergis, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 45, pp. 68776-68795
Open Access | Times Cited: 22
A hybrid model for point and interval forecasting of agricultural price based on the decomposition-ensemble and KDE
Dabin Zhang, Xuejing Zhang, Huanling Hu, et al.
Soft Computing (2024) Vol. 28, Iss. 17-18, pp. 10153-10176
Open Access | Times Cited: 3
Dabin Zhang, Xuejing Zhang, Huanling Hu, et al.
Soft Computing (2024) Vol. 28, Iss. 17-18, pp. 10153-10176
Open Access | Times Cited: 3
Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression
Krzysztof Drachal, Michal E. Pawlowski
International Journal of Financial Studies (2024) Vol. 12, Iss. 2, pp. 34-34
Open Access | Times Cited: 2
Krzysztof Drachal, Michal E. Pawlowski
International Journal of Financial Studies (2024) Vol. 12, Iss. 2, pp. 34-34
Open Access | Times Cited: 2
Short Term Forecasting of Agriculture Commodity Price by Using ARIMA: Based on Indian Market
Anil KumarMahto, Ranjit Biswas, Mansaf Alam
Communications in computer and information science (2019), pp. 452-461
Closed Access | Times Cited: 17
Anil KumarMahto, Ranjit Biswas, Mansaf Alam
Communications in computer and information science (2019), pp. 452-461
Closed Access | Times Cited: 17
Analysis of Agricultural Commodities Prices with New Bayesian Model Combination Schemes
Krzysztof Drachal
Sustainability (2019) Vol. 11, Iss. 19, pp. 5305-5305
Open Access | Times Cited: 17
Krzysztof Drachal
Sustainability (2019) Vol. 11, Iss. 19, pp. 5305-5305
Open Access | Times Cited: 17
Leaning against the wind: low-price benchmarks for acting anticyclically in the metal markets
Peter Buchholz, Friedrich‐Wilhelm Wellmer, Dennis Bastian, et al.
Mineral Economics (2019) Vol. 33, Iss. 1-2, pp. 81-100
Closed Access | Times Cited: 10
Peter Buchholz, Friedrich‐Wilhelm Wellmer, Dennis Bastian, et al.
Mineral Economics (2019) Vol. 33, Iss. 1-2, pp. 81-100
Closed Access | Times Cited: 10
Weighting Approaches in Data Mining and Knowledge Discovery: A Review
Zahra Hajirahimi, Mehdi Khashei
Neural Processing Letters (2023) Vol. 55, Iss. 8, pp. 10393-10438
Closed Access | Times Cited: 3
Zahra Hajirahimi, Mehdi Khashei
Neural Processing Letters (2023) Vol. 55, Iss. 8, pp. 10393-10438
Closed Access | Times Cited: 3
Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression
Krzysztof Drachal
Energies (2022) Vol. 16, Iss. 1, pp. 4-4
Open Access | Times Cited: 5
Krzysztof Drachal
Energies (2022) Vol. 16, Iss. 1, pp. 4-4
Open Access | Times Cited: 5
The Impact of Exogenous Variables on Soybean Freight: A Machine Learning Analysis
Karina Braga Marsola, Andréa Leda Ramos de Oliveira, Matheus Yasuo Ribeiro Utino, et al.
(2024)
Open Access
Karina Braga Marsola, Andréa Leda Ramos de Oliveira, Matheus Yasuo Ribeiro Utino, et al.
(2024)
Open Access
A hybrid model for point and interval forecasting of agricultural price based on decomposition-ensemble and KDE
Dabin Zhang, Xuejing Zhang, Huanling Hu, et al.
Research Square (Research Square) (2023)
Open Access
Dabin Zhang, Xuejing Zhang, Huanling Hu, et al.
Research Square (Research Square) (2023)
Open Access
Forecasting Commodities Prices with the Bayesian Symbolic Regression Compared to Other Methods
Krzysztof Drachal
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 3413-3421
Closed Access
Krzysztof Drachal
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 3413-3421
Closed Access
FACTORS AFFECTING THE WILLING TO JOIN IN COFFEE CROP INSURANCE IN DAK LAK PROVINCE, VIETNAM: A NOVEL APPLICATION OF BAYESIAN MODEL AVERAGING APPROACH
Le Dinh Thang, Nguyen Van
Humanities & Social Sciences Reviews (2020) Vol. 8, Iss. 5, pp. 68-80
Open Access
Le Dinh Thang, Nguyen Van
Humanities & Social Sciences Reviews (2020) Vol. 8, Iss. 5, pp. 68-80
Open Access