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:

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

Showing 18 citing articles:

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

Machine learning price index forecasts of flat steel products
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 14

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

Predicting open interest in thermal coal futures using machine learning
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 9

Effect of palladium core size on the activity and durability of Pt-Monolayer electrocatalysts for oxygen reduction reaction
Jiye Choi, Eunjik Lee, Seung-min Woo, et al.
Applied Surface Science (2025), pp. 162477-162477
Open Access

Predictions of residential property price indices for China via machine learning models
Bingzi Jin, Xiaojie Xu
Quality & Quantity (2025)
Closed Access

Machine learning platinum price predictions
Bingzi Jin, Xiaojie Xu
The Engineering Economist (2025), pp. 1-27
Closed Access

Unsupervised deep domain adaptation algorithm for video based human activity recognition via recurrent neural networks
Abdulaziz Zam, Ali Bohlooli, Kamal Jamshidi
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108922-108922
Closed Access | Times Cited: 3

Machine learning Brent crude oil price forecasts
Bingzi Jin, Xiaojie Xu
Innovation and Emerging Technologies (2024) Vol. 11
Closed Access | Times Cited: 3

Steel price index forecasts through machine learning for northwest China
Bingzi Jin, Xiaojie Xu
Mineral Economics (2024)
Closed Access | Times Cited: 2

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