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 market prediction using Firefly algorithm with evolutionary framework optimized feature reduction for OSELM method
Smruti Rekha Das, Debahuti Mishra, Minakhi Rout
Expert Systems with Applications X (2019) Vol. 4, pp. 100016-100016
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Deep Learning for Stock Market Prediction
Mojtaba Nabipour, Pooyan Nayyeri, Hamed Jabani, et al.
Entropy (2020) Vol. 22, Iss. 8, pp. 840-840
Open Access | Times Cited: 282

Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions
Nusrat Rouf, Majid Bashir Malik, Tasleem Arif, et al.
Electronics (2021) Vol. 10, Iss. 21, pp. 2717-2717
Open Access | Times Cited: 163

Quadratic Interpolation Optimization (QIO): A new optimization algorithm based on generalized quadratic interpolation and its applications to real-world engineering problems
Weiguo Zhao, Liying Wang, Zhenxing Zhang, et al.
Computer Methods in Applied Mechanics and Engineering (2023) Vol. 417, pp. 116446-116446
Closed Access | Times Cited: 67

An enhanced monthly runoff time series prediction using extreme learning machine optimized by salp swarm algorithm based on time varying filtering based empirical mode decomposition
Wenchuan Wang, Qi Cheng, Kwok‐wing Chau, et al.
Journal of Hydrology (2023) Vol. 620, pp. 129460-129460
Closed Access | Times Cited: 42

Stock exchange trading optimization algorithm: a human-inspired method for global optimization
Hojjat Emami
The Journal of Supercomputing (2021) Vol. 78, Iss. 2, pp. 2125-2174
Open Access | Times Cited: 57

Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction
David Opeoluwa Oyewola, Sulaiman Awwal Akinwunmi, Temidayo Oluwatosin Omotehinwa
Knowledge-Based Systems (2023) Vol. 284, pp. 111290-111290
Open Access | Times Cited: 23

An efficient equilibrium optimizer with support vector regression for stock market prediction
Essam H. Houssein, Mahmoud Dirar, Laith Abualigah, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 4, pp. 3165-3200
Closed Access | Times Cited: 51

Stock price series forecasting using multi-scale modeling with boruta feature selection and adaptive denoising
Jing Li, Yukun Liu, Hongfang Gong, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111365-111365
Closed Access | Times Cited: 5

FEB-Stacking and FEB-DNN Models for Stock Trend Prediction: A Performance Analysis for Pre and Post Covid-19 Periods
Indranil Ghosh, Tamal Datta Chaudhuri
Decision Making Applications in Management and Engineering (2021) Vol. 4, Iss. 1, pp. 51-86
Open Access | Times Cited: 37

An adaptive hybrid atom search optimization with particle swarm optimization and its application to optimal no-load PID design of hydro-turbine governor
Weiguo Zhao, Tiancong Shi, Liying Wang, et al.
Journal of Computational Design and Engineering (2021) Vol. 8, Iss. 5, pp. 1204-1233
Open Access | Times Cited: 36

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: 4

Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks
Essam H. Houssein, Mahmoud Dirar, Kashif Hussain, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 11, pp. 5965-5987
Closed Access | Times Cited: 32

Hybrid wavelet-neural network models for time series
Deniz Kenan Kılıç, Ömür Uğur
Applied Soft Computing (2023) Vol. 144, pp. 110469-110469
Open Access | Times Cited: 11

A New ANN-Particle Swarm Optimization with Center of Gravity (ANN-PSOCoG) Prediction Model for the Stock Market under the Effect of COVID-19
Razan Jamous, Hosam ALRahhal, Mohamed El-Darieby
Scientific Programming (2021) Vol. 2021, pp. 1-17
Open Access | Times Cited: 25

A Hybrid Model to Predict Stock Closing Price Using Novel Features and a Fully Modified Hodrick–Prescott Filter
Qazi Mudassar Ilyas, Khalid Iqbal, Sidra Ijaz, et al.
Electronics (2022) Vol. 11, Iss. 21, pp. 3588-3588
Open Access | Times Cited: 16

A bat-pigeon algorithm to crack detection-enabled autonomous vehicle navigation and mapping
Tingjun Lei, Chaomin Luo, Timothy Sellers, et al.
Intelligent Systems with Applications (2021) Vol. 12, pp. 200053-200053
Open Access | Times Cited: 20

Stock price index forecasting using a multiscale modelling strategy based on frequency components analysis and intelligent optimization
Ranran Li, Teng Han, Xiao Guang Song
Applied Soft Computing (2022) Vol. 124, pp. 109089-109089
Closed Access | Times Cited: 15

Predicting Close Price in Emerging Saudi Stock Exchange: Time Series Models
Abdullah H. Al-Nefaie, Theyazn H. H. Aldhyani
Electronics (2022) Vol. 11, Iss. 21, pp. 3443-3443
Open Access | Times Cited: 15

Learning automata based particle swarm optimization for solving class imbalance problem
Anuran Chakraborty, Kushal Kanti Ghosh, Rajonya De, et al.
Applied Soft Computing (2021) Vol. 113, pp. 107959-107959
Closed Access | Times Cited: 16

A new feature extraction approach of medical image based on data distribution skew
Farag Hamed Kuwil
Neuroscience Informatics (2022) Vol. 2, Iss. 3, pp. 100097-100097
Open Access | Times Cited: 11

A Deep Convolutional Kernel Neural Network based Approach for Stock Market Prediction using Social Media Data
Varsha Agarwal, Pradeep Kumar, G. Siva Shankar, et al.
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2023), pp. 78-82
Closed Access | Times Cited: 6

Soil organic matter determination based on artificial olfactory system and PLSR-BPNN
Dongyan Huang, He Liu, Longtu Zhu, et al.
Measurement Science and Technology (2020) Vol. 32, Iss. 3, pp. 035801-035801
Open Access | Times Cited: 14

Empirical validation of ELM trained neural networks for financial modelling
Volodymyr Novykov, Christopher Bilson, Adrian Gepp, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 2, pp. 1581-1605
Open Access | Times Cited: 8

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