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:

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

Showing 1-25 of 80 citing articles:

Pre-owned housing price index forecasts using Gaussian process regressions
Bingzi Jin, Xiaojie Xu
Journal of Modelling in Management (2024)
Closed Access | Times Cited: 52
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
Palladium Price Predictions via Machine Learning
Bingzi Jin, Xiaojie Xu
Materials Circular Economy (2024) Vol. 6, Iss. 1
Closed Access | Times Cited: 40
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: 39
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: 31
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: 15
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
GMR-Rec: Graph Mutual Regularization Learning for Multi-Domain Recommendation
Yifan Wang, Yangzi Yang, Shuai Li, et al.
Information Sciences (2025), pp. 121946-121946
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
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
Enhancing medical image classification via federated learning and pre-trained model
Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, et al.
Egyptian Informatics Journal (2024) Vol. 27, pp. 100530-100530
Open Access | Times Cited: 5
Predicting postural risk level with computer vision and machine learning on multiple sources of images
Shing H. Doong
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109981-109981
Closed Access
Analyzing urban public sports facilities for recognition and optimization using intelligent image processing
Zuo‐Feng Zhang
Egyptian Informatics Journal (2025) Vol. 29, pp. 100604-100604
Closed Access
Prediction of FeO content in sintered ore based on ICEEMDAN and CNN-BiLSTM-AM
Jinxin Fan, Huan Yang, Xiaotong Li, et al.
Ironmaking & Steelmaking Processes Products and Applications (2025)
Closed Access
A flood expert system using machine learning and IoT: warning, detection, and prediction
Soleyman Nezhadbasaidu, Mehdi Gheisari, Alireza Kheyrkhah, et al.
International Journal of Systems Assurance Engineering and Management (2025)
Closed Access
Lightweight container number recognition based on deep learning
Tao Liu, Xianqing Wu, Fang Li
International Journal of Systems Assurance Engineering and Management (2025)
Closed Access
Design of an Approximate Radix-2 FFT Butterfly Unit for LSTM-Speech signal-based Parkinson’s Disease Classifier
Ritu Sindhu, V. Arunachalam
Circuits Systems and Signal Processing (2025)
Closed Access
Machine learning platinum price predictions
Bingzi Jin, Xiaojie Xu
The Engineering Economist (2025), pp. 1-27
Closed Access
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