Open Access Helper

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:

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: 122

Showing 1-25 of 122 citing articles:

Price forecasting through neural networks for crude oil, heating oil, and natural gas
Bingzi Jin, Xiaojie Xu
Deleted Journal (2024) Vol. 1, pp. 100001-100001
Open Access | Times Cited: 109
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: 80
Machine learning predictions of regional steel price indices for east China
Bingzi Jin, Xiaojie Xu
Ironmaking & Steelmaking Processes Products and Applications (2024)
Closed Access | Times Cited: 50
Contemporaneous causality among price indices of ten major steel products
Bingzi Jin, Xiaojie Xu
Ironmaking & Steelmaking Processes Products and Applications (2024) Vol. 51, Iss. 6, pp. 515-526
Closed Access | Times Cited: 50
Pre-owned housing price index forecasts using Gaussian process regressions
Bingzi Jin, Xiaojie Xu
Journal of Modelling in Management (2024)
Closed Access | Times Cited: 50
Palladium Price Predictions via Machine Learning
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 38
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: 38
Forecasts of thermal coal prices through Gaussian process regressions
Bingzi Jin, Xiaojie Xu
Ironmaking & Steelmaking Processes Products and Applications (2024) Vol. 51, Iss. 8, pp. 819-834
Closed Access | Times Cited: 30
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: 22
Forecasts of coking coal futures price indices through Gaussian process regressions
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 19
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: 18
Forecasts of China Mainland New Energy Index Prices through Gaussian Process Regressions
Bingzi Jin, Xiaojie Xu
Deleted Journal (2024) Vol. 01
Closed Access | Times Cited: 18
Office real estate price index forecasts through Gaussian process regressions for ten major Chinese cities
Bingzi Jin, Xiaojie Xu
Advances in Computational Intelligence (2024) Vol. 4, Iss. 3
Closed Access | Times Cited: 17
Machine learning price index forecasts of flat steel products
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 14
Peanut oil price change forecasts through the neural network
Bingzi Jin, Xiaojie Xu, Yun Zhang
foresight (2025)
Closed Access | Times Cited: 5
Predicting Scrap Steel Prices Through Machine Learning for South China
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2025) Vol. 7, Iss. 1
Closed Access | Times Cited: 2
Machine learning gold price forecasting
Bingzi Jin, Xiaojie Xu
International Journal of Management Science and Engineering Management (2025), pp. 1-13
Closed Access | Times Cited: 1
Machine learning-based scrap steel price forecasting for the northeast Chinese market
Bingzi Jin, Xiaojie Xu
International Journal of Empirical Economics (2024) Vol. 03, Iss. 04
Closed Access | Times Cited: 13
Advanced drone-based weed detection using feature-enriched deep learning approach
Mobeen Ur Rehman, Hassan Eesaar, Zeeshan Abbas, et al.
Knowledge-Based Systems (2024), pp. 112655-112655
Open Access | Times Cited: 10
Predicting open interest in thermal coal futures using machine learning
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 9
Bearing fault diagnosis using multiple feature selection algorithms with SVM
Rajeev Kumar, R. S. Anand
Progress in Artificial Intelligence (2024) Vol. 13, Iss. 2, pp. 119-133
Closed Access | Times Cited: 7
Predicting wholesale edible oil prices through Gaussian process regressions tuned with Bayesian optimization and cross-validation
Bingzi Jin, Xiaojie Xu
Asian Journal of Economics and Banking (2024)
Open Access | Times Cited: 6
Machine learning-based forecasts of residential property prices in Hangzhou City, Zhejiang Province, China
Bingzi Jin, Xiaojie Xu
Neural Computing and Applications (2024)
Closed Access | Times Cited: 6
Scenario Analysis of Waste Tires from China’s Vehicles Future
Di Cui, Zihan Bi, Yao Wang, et al.
Journal of Cleaner Production (2024) Vol. 478, pp. 143940-143940
Closed Access | Times Cited: 5
Online mechanical property prediction and automatic product release for hot rolled steel strip products using artificial neural network models
Yongjun Lan, Douglas Figueroa-Gordon, Terry-Louise Betambeau, et al.
Ironmaking & Steelmaking Processes Products and Applications (2025)
Closed Access
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