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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 Novel Bitcoin and Gold Prices Prediction Method Using an LSTM-P Neural Network Model
Xinchen Zhang, Linghao Zhang, Qincheng Zhou, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 12

Showing 12 citing articles:

Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022
Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 41
MFB: A Generalized Multimodal Fusion Approach for Bitcoin Price Prediction Using Time-Lagged Sentiment and Indicator Features
Ping Han, Hui Chen, Abdur Rasool, et al.
Expert Systems with Applications (2024) Vol. 261, pp. 125515-125515
Open Access | Times Cited: 5
Surveying the prediction of risks in cryptocurrency investments using recurrent neural networks
Rihab Qasim Abdulkadhim, Hasanen S. Abdullah, Mustafa Jasim Hadi
Open Engineering (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions
David L. John, Sebastian Binnewies, Bela Stantić
Forecasting (2024) Vol. 6, Iss. 3, pp. 637-671
Open Access | Times Cited: 2
A Mechanism for Bitcoin Price Forecasting using Deep Learning
Karamath Ateeq, Ahmed Abdelrahim Al Zarooni, Abdur Rehman, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 4
Cryptocurrency Price Prediction Algorithms: A Survey and Future Directions
David L. John, Sebastian Binnewies, Bela Stantić
(2024)
Open Access | Times Cited: 1
Stock index forecasting using DACLAMNN: A new intelligent highly accurate hybrid ACLSTM/Markov neural network predictor
Ashkan Safari, Mohammad Ali Badamchizadeh
Cognitive Computation and Systems (2023) Vol. 5, Iss. 3, pp. 181-194
Open Access | Times Cited: 3
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022
Cheng Zhang, Nilam Nur Amir Sjarif, Roslina Ibrahim
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Research On Supermarket Replenishment and Pricing Strategies Based On K-Means Clustering and ARIMA Time Series Model
Qi Liu, Wenbin Cui, Xinbo Zhang
Highlights in Business Economics and Management (2024) Vol. 25, pp. 122-126
Open Access
Understanding the complexity of futures markets investing in China: evidence from deep learning techniques
Zhenya Liu, Nawazish Mirza, Rongyu You, et al.
Annals of Operations Research (2024)
Closed Access
Preprocessing Method for Industrial Data Based on LSTM Model Prediction
Shunmin Li, Ruihan Luo, Wanda Zhang, et al.
(2022), pp. 681-684
Closed Access | Times Cited: 1
Bitcoin Price Prediction Using Cuckoo Search Algorithm for Feature Selection with LSTM Model
Elnaz Radmand, Jamshid Pirgazi, Mahmoud Odeh, et al.
(2023), pp. 1-6
Closed Access
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