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:

A high-frequency trading volume prediction model using neural networks
Xiaojie Xu, Yun Zhang
Decision Analytics Journal (2023) Vol. 7, pp. 100235-100235
Open Access | Times Cited: 43

Showing 26-50 of 43 citing articles:

Composite property price index forecasting with neural networks
Xiaojie Xu, Yun Zhang
Property Management (2023) Vol. 42, Iss. 3, pp. 388-411
Closed Access | Times Cited: 16

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

Regional steel price index predictions for the southwest Chinese market through machine learning
Bingzi Jin, Xiaojie Xu
Ironmaking & Steelmaking Processes Products and Applications (2024)
Closed Access | Times Cited: 5

Scrap steel price predictions for southwest China via machine learning
Bingzi Jin, Xiaojie Xu
Innovation and Emerging Technologies (2025) Vol. 12
Closed 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

Rental price index forecasts of residential properties using Gaussian process regressions
Bingzi Jin, Xiaojie Xu
Journal of Financial Management of Property and Construction (2025)
Closed Access

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

Stock price nowcasting and forecasting with deep learning
Chuanzhi Fan, X. D. Zhang
Journal of Intelligent Information Systems (2024)
Closed Access | Times Cited: 2

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

A novel adjusted learning algorithm for online portfolio selection using peak price tracking approach
Hong-Liang Dai, Cui-Yin Huang, Hongming Dai, et al.
Decision Analytics Journal (2023) Vol. 7, pp. 100256-100256
Open Access | Times Cited: 5

Design and implementation of IoT sensors for nonvisual symptoms detection on maize inoculated with Exserohilum turcicum
Theofrida Julius Maginga, Pierre Bakunzibake, Emmanuel Masabo, et al.
Smart Agricultural Technology (2023) Vol. 5, pp. 100260-100260
Open Access | Times Cited: 4

Machine Learning Applications in Algorithmic Trading: A Comprehensive Systematic Review
Arash Salehpour, Karim Samadzamini
International Journal of Education and Management Engineering (2023) Vol. 13, Iss. 6, pp. 41-53
Open Access | Times Cited: 2

Quantitative Trading Model Building and Stock Investment Decision Making from a Data-Driven Perspective
Guoliang Wang, Guangxing Guo
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 162-167
Closed Access

Stock Price Nowcasting and Forecasting with Deep Learning
Chuanzhi Fan, Xiang Zhang
Research Square (Research Square) (2024)
Open Access

A Novel Momentum-Based Measure for Online Portfolio Algorithm
Xiaoting Lv, Cui-Yin Huang, Hongā€Liang Dai
Journal of Computer and Communications (2024) Vol. 12, Iss. 09, pp. 1-21
Open Access

Superiority of Neural Networks for Trading Volume Forecasts of Stocks and Cryptocurrencies
Sulalitha Bowala, A. Thavaneswaran, Ruppa K. Thulasiram, et al.
2021 IEEE Symposium Series on Computational Intelligence (SSCI) (2023), pp. 146-151
Closed Access | Times Cited: 1

Prediction of Stock Market Price using Bi-directional Recurrent Neural Network
R Archana Reddy, Kassem Al-Attabi, Bollampelly Chandana, et al.
(2023), pp. 1-5
Closed Access

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