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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.

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Showing 1-25 of 38 citing articles:

Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
Mehrdad Kaveh, Mohammad Saadi Mesgari
Neural Processing Letters (2022) Vol. 55, Iss. 4, pp. 4519-4622
Open Access | Times Cited: 120
RNN-LSTM: From applications to modeling techniques and beyond—Systematic review
Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 5, pp. 102068-102068
Open Access | Times Cited: 45
A hybrid deep learning approach to improve real-time effluent quality prediction in wastewater treatment plant
Yifan Xie, Y. Chen, Qing Wei, et al.
Water Research (2023) Vol. 250, pp. 121092-121092
Closed Access | Times Cited: 22
Machine learning methods for the modelling and optimisation of biogas production from anaerobic digestion: a review
Jordan Yao Xing Ling, Yi Jing Chan, Jia Win Chen, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 13, pp. 19085-19104
Closed Access | Times Cited: 12
HDTO-DeepAR: A novel hybrid approach to forecast surface water quality indicators
Rosysmita Bikram Singh, Kanhu Charan Patra, Biswajeet Pradhan, et al.
Journal of Environmental Management (2024) Vol. 352, pp. 120091-120091
Open Access | Times Cited: 11
Prediction of wastewater treatment plant performance through machine learning techniques
Hani Mahanna, Nora El-Rashidy, Mosbeh R. Kaloop, et al.
Desalination and Water Treatment (2024) Vol. 319, pp. 100524-100524
Open Access | Times Cited: 10
An optimized back propagation neural network on small samples spectral data to predict nitrite in water
Cailing Wang, Guohao Zhang, J. Yan
Environmental Research (2024) Vol. 247, pp. 118199-118199
Closed Access | Times Cited: 5
Artificial intelligence driven advances in wastewater treatment: Evaluating techniques for sustainability and efficacy in global facilities
Dhanyashree Narayanan, Manish Bhat, Norottom Paul, et al.
Desalination and Water Treatment (2024) Vol. 320, pp. 100618-100618
Open 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
A New Framework for Winter Wheat Yield Prediction Integrating Deep Learning and Bayesian Optimization
Di Yan, Maofang Gao, Fukang Feng, et al.
Agronomy (2022) Vol. 12, Iss. 12, pp. 3194-3194
Open Access | Times Cited: 24
Physics-informed ensemble deep learning framework for improving state of charge estimation of lithium-ion batteries
Hanqing Yu, Zhengjie Zhang, Kaiyi Yang, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 108915-108915
Closed Access | Times Cited: 15
Research progress in water quality prediction based on deep learning technology: a review
Wenhao Li, Yin Zhao, Yining Zhu, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 18, pp. 26415-26431
Closed Access | Times Cited: 4
Machine Learning in Wastewater Treatment: A Comprehensive Bibliometric Review
Wenjing Yang, Haiyan Li
ACS ES&T Water (2025)
Closed Access
Advanced Temporal Deep Learning Framework for Enhanced Predictive Modeling in Industrial Treatment Systems
S Ramya, S Srinath, Pushpa Tuppad
Results in Engineering (2025), pp. 104158-104158
Open Access
Deep learning with improved hybrid neuro-turning for predictive control of flux based on experimental DCMD module design of water desalination system
Osman Shamet, Sani I. Abba, Jamil Usman, et al.
Journal of Water Process Engineering (2024) Vol. 65, pp. 105835-105835
Closed Access | Times Cited: 3
Bio-communal wastewater treatment plant real-time modeling using an intelligent meta-heuristic approach: A sustainable and green ecosystem
Sani I. Abba, Huseyin Cagan KILINC, Mou Leong Tan, et al.
Journal of Water Process Engineering (2023) Vol. 53, pp. 103731-103731
Closed Access | Times Cited: 9
Artificial neural networks for performance prediction of full-scale wastewater treatment plants: a systematic review
Marina Salim Dantas, Cristiano Christófaro, Sílvia Corrêa Oliveira
Water Science & Technology (2023) Vol. 88, Iss. 6, pp. 1447-1470
Open Access | Times Cited: 9
A probabilistic deep learning approach to enhance the prediction of wastewater treatment plant effluent quality under shocking load events
Hailong Yin, Yongqi Chen, Jinglin Zhou, et al.
Water Research X (2024) Vol. 26, pp. 100291-100291
Open Access | Times Cited: 3
Application of recurrent neural networks for modeling and control of a quadruple‐tank system
N. Rajasekhar, Krishnaraj Nagappan, T. K. Radhakrishnan, et al.
Advanced Control for Applications (2023) Vol. 6, Iss. 2
Closed Access | Times Cited: 8
Power fluctuation mitigation strategy for microgrids based on an LSTM-based power forecasting method
Zhao Luo, Xinan Zhang, Xiuyan Peng
Applied Soft Computing (2022) Vol. 127, pp. 109370-109370
Closed Access | Times Cited: 12
Selection of Precise Long Short Term Memory (LSTM) Hyperparameters based on Particle Swarm Optimization
Yingchi Mao, Andri Pranolo, Aji Prasetya Wibawa, et al.
2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) (2022), pp. 1114-1121
Closed Access | Times Cited: 11
Prediction in Catalytic Cracking Process Based on Swarm Intelligence Algorithm Optimization of LSTM
Juan Hong, Wende Tian
Processes (2023) Vol. 11, Iss. 5, pp. 1454-1454
Open Access | Times Cited: 5
An attention mechanism-based deep regression approach with a sequence decomposition-granularity reconstruction-integration model for urban daily water supply forecasting
Yun Bai, Zhengjie Yan, Chuan Li
Journal of Hydrology (2022) Vol. 617, pp. 129032-129032
Closed Access | Times Cited: 8
Design of an improved process optimization model for enhancing the efficiency of the wastewater treatment process
Pournima Pande, Bhagyashree Hambarde
Water Practice & Technology (2024) Vol. 19, Iss. 5, pp. 1603-1614
Open Access | Times Cited: 1
Ship Attitude Prediction Model Based on Cross-Parallel Algorithm Optimized Neural Network
Yanshu Jiang, Mingqi Jia, Biao Zhang, et al.
IEEE Access (2022) Vol. 10, pp. 77857-77871
Open Access | Times Cited: 7
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