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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:

Grey Wolf optimization-Elman neural network model for stock price prediction
S. Kumar Chandar
Soft Computing (2020) Vol. 25, Iss. 1, pp. 649-658
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Deep Q-Network (DQN) Model for Disease Prediction Using Electronic Health Records (EHRs)
Nabil M. AbdelAziz, Gehan A. Fouad, Safa Al-Saeed, et al.
Sci (2025) Vol. 7, Iss. 1, pp. 14-14
Open Access | Times Cited: 1
Evidential-bio-inspired algorithms for modeling groundwater total hardness: A pioneering implementation of evidential neural network for feature selection in water resources management
A. G. Usman, Abdulhayat M. Jibrin, Sagiru Mati, et al.
Environmental Chemistry and Ecotoxicology (2025)
Open Access | Times Cited: 1
An Improved Gray Wolf Optimization Algorithm to Solve Engineering Problems
Yu Li, Xiaoxiao Lin, Jingsen Liu
Sustainability (2021) Vol. 13, Iss. 6, pp. 3208-3208
Open Access | Times Cited: 89
Integrating Elman recurrent neural network with particle swarm optimization algorithms for an improved hybrid training of multidisciplinary datasets
Mohamad Firdaus Ab Aziz, Salama A. Mostafa, Cik Feresa Mohd Foozy, et al.
Expert Systems with Applications (2021) Vol. 183, pp. 115441-115441
Closed Access | Times Cited: 66
Hybridization of hybrid structures for time series forecasting: a review
Zahra Hajirahimi, Mehdi Khashei
Artificial Intelligence Review (2022) Vol. 56, Iss. 2, pp. 1201-1261
Closed Access | Times Cited: 65
A Hybrid Stock Price Prediction Model Based on PRE and Deep Neural Network
Srivinay Srivinay, B. C. Manujakshi, Mohan G. Kabadi, et al.
Data (2022) Vol. 7, Iss. 5, pp. 51-51
Open Access | Times Cited: 37
Implementation of nonlinear computing models and classical regression for predicting compressive strength of high-performance concrete
Mahmud M. Jibril, M.A Zayyan, Salim Idris Malami, et al.
Applications in Engineering Science (2023) Vol. 15, pp. 100133-100133
Open Access | Times Cited: 16
Enhancing solar radiation predictions through COA optimized neural networks and PCA dimensionality reduction
T.K.Nida Fariz, S. Sharief Basha
Energy Reports (2024) Vol. 12, pp. 341-359
Closed Access | Times Cited: 5
Stock price prediction with SCA-LSTM network and Statistical model ARIMA-GARCH
Homa Mehtarizadeh, N. Mansouri, Behnam Mohammad Hasani Zade, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Open Access
Novel Stock Crisis Prediction Technique—A Study on Indian Stock Market
Nagaraj Naik, Biju R. Mohan
IEEE Access (2021) Vol. 9, pp. 86230-86242
Open Access | Times Cited: 34
Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm
Sudeepa Das, Tirath Prasad Sahu, Rekh Ram Janghel, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 1, pp. 555-591
Open Access | Times Cited: 28
Portfolio optimization and return prediction by integrating modified deep belief network and recurrent neural network
Meeta Sharma, Hardayal Singh Shekhawat
Knowledge-Based Systems (2022) Vol. 250, pp. 109024-109024
Closed Access | Times Cited: 19
Stock Price Prediction Based on Morphological Similarity Clustering and Hierarchical Temporal Memory
Xingqi Wang, Kai Yang, Tailian Liu
IEEE Access (2021) Vol. 9, pp. 67241-67248
Open Access | Times Cited: 24
Improved BIGRU Model and Its Application in Stock Price Forecasting
Yuanshuai Duan, Yuanxin Liu, Yi Wang, et al.
Electronics (2023) Vol. 12, Iss. 12, pp. 2718-2718
Open Access | Times Cited: 10
Prediction of Osteoporosis Disease Using Enhanced Elman Recurrent Neural Network with Bacterial Colony Optimization
B. Sivasakthi, D. Selvanayagi
Advances in intelligent systems and computing (2023), pp. 211-220
Closed Access | Times Cited: 9
TSF-transformer: a time series forecasting model for exhaust gas emission using transformer
Zhenyu Li, Xikun Zhang, Zhenbiao Dong
Applied Intelligence (2022) Vol. 53, Iss. 13, pp. 17211-17225
Open Access | Times Cited: 14
A recurrent neural network-based identification of complex nonlinear dynamical systems: a novel structure, stability analysis and a comparative study
R. Shobana, Rajesh Kumar, Bhavnesh Jaint
Soft Computing (2023)
Closed Access | Times Cited: 7
Advancing SDGs: Predicting Future Shifts in Saudi Arabia’s Terrestrial Water Storage Using Multi-Step-Ahead Machine Learning Based on GRACE Data
Mohamed A. Yassin, Sani I. Abba, Arya Pradipta, et al.
Water (2024) Vol. 16, Iss. 2, pp. 246-246
Open Access | Times Cited: 2
Hybrid deep‐Q Elman neural network for crop prediction and recommendation based on environmental changes
Sachin Dattatraya Shingade, Rohini Mudhalwadkar
Concurrency and Computation Practice and Experience (2022) Vol. 34, Iss. 17
Closed Access | Times Cited: 10
A graph-based big data optimization approach using hidden Markov model and constraint satisfaction problem
Imad Sassi, Samir Anter, Abdelkrim Bekkhoucha
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 13
Multi-swarm improved Grey Wolf Optimizer with double adaptive weights and dimension learning for global optimization problems
Shuidong Ma, Yiming Fang, Xiaodong Zhao, et al.
Mathematics and Computers in Simulation (2022) Vol. 205, pp. 619-641
Closed Access | Times Cited: 9
Novel grey wolf optimizer based parameters selection for GARCH and ARIMA models for stock price prediction
Sneha S. Bagalkot, Dinesha H. A, Nagaraj Naik
PeerJ Computer Science (2024) Vol. 10, pp. e1735-e1735
Open Access | Times Cited: 1
A modified grey wolf optimization-based dendritic neural model for stock index return prediction
Ruizhe Wang
Applied Soft Computing (2024), pp. 112305-112305
Closed Access | Times Cited: 1
Axial strength prediction of steel tube confined concrete columns using a hybrid machine learning model
Ngoc-Tri Ngo, Thi-Phuong-Trang Pham, An Le Hoang, et al.
Structures (2021) Vol. 36, pp. 765-780
Closed Access | Times Cited: 11
Study on the Pakistan stock market using a new stock crisis prediction method
Irfan Javid, Rozaida Ghazali, Irteza Syed, et al.
PLoS ONE (2022) Vol. 17, Iss. 10, pp. e0275022-e0275022
Open Access | Times Cited: 7
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