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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:

Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm
Burak Gülmez
Expert Systems with Applications (2023) Vol. 227, pp. 120346-120346
Open Access | Times Cited: 118

Showing 1-25 of 118 citing articles:

Dynamic fitness-distance balance-based artificial rabbits optimization algorithm to solve optimal power flow problem
Hüseyin Bakır
Expert Systems with Applications (2023) Vol. 240, pp. 122460-122460
Closed Access | Times Cited: 26
Applying machine learning algorithms to predict the stock price trend in the stock market – The case of Vietnam
Tran Phuoc, Pham Thi Kim Anh, Phan Huy Tam, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 13
A novel hierarchical feature selection with local shuffling and models reweighting for stock price forecasting
Zhiyong An, Yafei Wu, Fangjing Hao, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123482-123482
Closed Access | Times Cited: 8
GA-FCFNN: A new forecasting method combining feature selection methods and feedforward neural networks using genetic algorithms
Rongtao Zhang, Xueling Ma, Chao Zhang, et al.
Information Sciences (2024) Vol. 669, pp. 120566-120566
Closed Access | Times Cited: 8
A novel deep learning model with the Grey Wolf Optimization algorithm for cotton disease detection
Burak Gülmez
JUCS - Journal of Universal Computer Science (2023) Vol. 29, Iss. 6, pp. 595-626
Open Access | Times Cited: 17
Advancements in rice disease detection through convolutional neural networks: A comprehensive review
Burak Gülmez
Heliyon (2024) Vol. 10, Iss. 12, pp. e33328-e33328
Open Access | Times Cited: 6
A novel prediction model for integrated district energy system based on secondary decomposition and artificial rabbits optimization
Yan Guo, Qichao Tang, Jo Darkwa, et al.
Energy and Buildings (2024) Vol. 310, pp. 114106-114106
Closed Access | Times Cited: 5
Accurate Stock Price Forecasting Based on Deep Learning and Hierarchical Frequency Decomposition
Yi Li, Lei Chen, Cuiping Sun, et al.
IEEE Access (2024) Vol. 12, pp. 49878-49894
Open Access | Times Cited: 5
Identification for nonlinear systems modelled by deep long short-term memory networks based Wiener model
Feng Li, Yuesong Yang, Yuanqing Xia
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111631-111631
Closed Access | Times Cited: 5
Hybrid point-interval prediction method for stochastic dynamic response of subsea umbilical cable based on BO-BiLSTM and adaptive bandwidth KDE
Qi Su, Hailong Lu, Xu Yin, et al.
Ocean Engineering (2025) Vol. 320, pp. 120317-120317
Closed Access
An enhanced Transformer framework with incremental learning for online stock price prediction
Yiming Qian
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0316955-e0316955
Open Access
COMPARING FORECASTS OF AGRICULTURAL SECTOR EXPORT VALUES USING SARIMA AND LONG SHORT-TERM MEMORY MODELS
Aleytha Ilahnugrah Kurnadipare, Sri Amaliya, Khairil Anwar Notodiputro, et al.
BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN (2025) Vol. 19, Iss. 1, pp. 385-396
Open Access
Comparative Analysis of Stock Price Prediction Using Deep Learning with Data Scaling Method
I Nyoman Switrayana, Rifqi Hammad, Pahrul Irfan, et al.
JTIM Jurnal Teknologi Informasi dan Multimedia (2025) Vol. 7, Iss. 1, pp. 78-90
Open Access
Enhancing Stock Price Forecasting Accuracy Using LSTM and Bi-LSTM Models
Hao Wang
ITM Web of Conferences (2025) Vol. 70, pp. 04008-04008
Open Access
A hybrid system with optimized decomposition on random deep learning model for crude oil futures forecasting
Jie Wang, Ying Zhang
Expert Systems with Applications (2025), pp. 126706-126706
Closed Access
GRVFL-MV: Graph Random Vector Functional Link Based on Multi-View Learning
M. Tanveer, Richa Sharma, M. Sajid, et al.
Information Sciences (2025) Vol. 704, pp. 121947-121947
Open Access
Artificial intelligence-driven financial innovation: A robo-advisor system for robust returns across diversified markets
Qing Zhu, Chenyu Han, Shan Liu, et al.
Expert Systems with Applications (2025), pp. 126881-126881
Closed Access
Comparison of Hyperparameter Tuning Optimization Methods for LSTM and Stock Price Prediction
Peng Li, Adam Viktorin, Roman Šenkeřík
Lecture notes in computer science (2025), pp. 195-208
Closed Access
Optimizing Stock Market Prediction Using Long Short-Term Memory Networks
Nadia Afrin Ritu, Samsun Nahar Khandakar, M.M.H. Bhuiyan, et al.
Journal of Computer and Communications (2025) Vol. 13, Iss. 02, pp. 207-222
Open Access
Data-driven hydraulic pressure prediction for typical excavators using a new deep learning SCSSA-LSTM method
Hao Feng, Hao Zhou, Donghui Cao, et al.
Expert Systems with Applications (2025), pp. 127078-127078
Closed Access
Novel deterministic and probabilistic forecasting methods for crude oil price employing optimized deep learning, statistical and hybrid models
Sourav Kumar Purohit, Sibarama Panigrahi
Information Sciences (2023) Vol. 658, pp. 120021-120021
Closed Access | Times Cited: 14
Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices
Mohit Beniwal, Archana Singh, Nand Kumar
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107617-107617
Closed Access | Times Cited: 10
Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume
Adela Bârã, Simona‐Vasilica Oprea
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 3
Blockchain with optimal deep learning assisted secure data sharing and classification on future healthcare systems
Adwan Alanazi, Faten Khalid Karim, Sara Ghorashi, et al.
Alexandria Engineering Journal (2024) Vol. 99, pp. 168-179
Open Access | Times Cited: 3
Enhanced Multi-variate Time Series Prediction Through Statistical-Deep Learning Integration: The VAR-Stacked LSTM Model
Mohd Sakib, Suhel Mustajab
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access | Times Cited: 3
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