Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 quantum artificial neural network for stock closing price prediction
Ge Liu, Wenping Ma
Information Sciences (2022) Vol. 598, pp. 75-85
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

TRNN: An efficient time-series recurrent neural network for stock price prediction
Minrong Lu, XU Xue-rong
Information Sciences (2023) Vol. 657, pp. 119951-119951
Closed Access | Times Cited: 48
Quantum carbon finance: Carbon emission rights option pricing and investment decision
Dongsheng Zhai, Tianrui Zhang, Guoqiang Liang, et al.
Energy Economics (2024) Vol. 134, pp. 107628-107628
Closed Access | Times Cited: 16
Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry
Po-Yu Kao, Ya-Chu Yang, Wei-Yin Chiang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 11, pp. 3307-3318
Open Access | Times Cited: 29
Intelligent forecasting model of stock price using neighborhood rough set and multivariate empirical mode decomposition
Juncheng Bai, Jianfeng Guo, Bingzhen Sun, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106106-106106
Closed Access | Times Cited: 24
Stock price predictive analysis: An application of hybrid Barnacles Mating Optimizer with Artificial Neural Network
Zuriani Mustaffa, Mohd Herwan Sulaiman
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 109-117
Open Access | Times Cited: 20
Rethinking the defense against free-rider attack from the perspective of model weight evolving frequency
Jinyin Chen, Ming-Jun Li, Tao Liu, et al.
Information Sciences (2024) Vol. 668, pp. 120527-120527
Open Access | Times Cited: 6
An advanced and comprehensive hybrid approach for analyzing crude oil futures prices
Hui Li
Intelligent Decision Technologies (2025)
Open Access
Integrating Navier-Stokes equation and neoteric iForest-BorutaShap-Facebook’s prophet framework for stock market prediction: An application in Indian context
Indranil Ghosh, Tamal Datta Chaudhuri
Expert Systems with Applications (2022) Vol. 210, pp. 118391-118391
Closed Access | Times Cited: 23
Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction
Yong Shi, Yunong Wang, Yi Qu, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 1, pp. 161-176
Closed Access | Times Cited: 13
Hybrid Quantum Neural Networks with Amplitude Encoding: Advancing Recovery Rate Predictions
Huiling Chen, Paul Griffin, Paolo Recchia, et al.
(2025)
Open Access
Compression and regularized optimization of modules stacked residual deep fuzzy system with application to time series prediction
Yunxia Liu, Xiao Lu, Wei Peng, et al.
Information Sciences (2022) Vol. 608, pp. 551-577
Closed Access | Times Cited: 16
Dynamic optimization based on quantum computation-A comprehensive review
Haijiang Kou, Yaowen Zhang, Heow Pueh Lee
Computers & Structures (2023) Vol. 292, pp. 107255-107255
Closed Access | Times Cited: 10
Explainable hybrid quantum neural networks for analyzing the influence of tweets on stock price prediction
Manoranjan Gandhudi, Alphonse P.J.A., Ugo Fiore, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109302-109302
Closed Access | Times Cited: 3
DeepInvest: Stock Market Predictions with a Sequence-Oriented BiLSTM Stacked Model – A Dataset Case Study of AMZN
Ashkan Safari, Mohammad Ali Badamchizadeh
Intelligent Systems with Applications (2024), pp. 200439-200439
Open Access | Times Cited: 3
Potential of quantum computing to effectively comprehend the complexity of brain
Shyam R. Sihare
Applied Intelligence (2023) Vol. 53, Iss. 22, pp. 27459-27482
Closed Access | Times Cited: 7
Applicability of genetic algorithms for stock market prediction: A systematic survey of the last decade
Ankit Thakkar, Kinjal Chaudhari
Computer Science Review (2024) Vol. 53, pp. 100652-100652
Closed Access | Times Cited: 2
Deep Convolutional Transformer Network for Stock Movement Prediction
Li Yang Xie, Zhengming Chen, Sheng Yu
Electronics (2024) Vol. 13, Iss. 21, pp. 4225-4225
Open Access | Times Cited: 2
Robust fuzzy regression functions approaches
Eren Baş
Information Sciences (2022) Vol. 613, pp. 419-434
Closed Access | Times Cited: 10
The Role of Technical Indicators in the Intraday Prediction of Stock Markets: Artificial Neural Network Models for Borsa Istanbul
Andaç Batur Çolak, Ayben Koy
Scientia Iranica (2023)
Open Access | Times Cited: 5
The Potential of Quantum Techniques for Stock Price Prediction
Naman Srivastava, Gaurang Belekar, Neel Shahakar, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 4
Optimization of Nonlinear Convolutional Neural Networks based on Improved Chameleon Group Algorithm
Qingtao Zhang
Scalable Computing Practice and Experience (2024) Vol. 25, Iss. 2, pp. 840-847
Open Access | Times Cited: 1
Stock Price Forecast: Comparison of LSTM, HMM, and Transformer
Qianzhun Wang, Yingqing Yuan
Atlantis Highlights in Computer Sciences/Atlantis highlights in computer sciences (2023), pp. 126-136
Closed Access | Times Cited: 4
Evolving stochastic configure network: A more compact model with interpretability
Qin Wang, Jingna Liu, Wenwu Guo, et al.
Information Sciences (2023) Vol. 639, pp. 119006-119006
Closed Access | Times Cited: 3
Globally asymptotic stability analysis for memristor‐based competitive systems of reaction–diffusion delayed neural networks
Yousef Gholami
Mathematical Methods in the Applied Sciences (2023) Vol. 46, Iss. 16, pp. 17036-17064
Closed Access | Times Cited: 3
The Design of a Compound Neural Network-Based Economic Management Model for Advancing the Digital Economy
Ke Shang, Muhammad Asif
Journal of Organizational and End User Computing (2023) Vol. 35, Iss. 1, pp. 1-15
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top