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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:

The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction
Rana Muhammad Adnan Ikram, Ahmed A. Ewees, Kulwinder Singh Parmar, et al.
Applied Soft Computing (2022) Vol. 131, pp. 109739-109739
Closed Access | Times Cited: 112

Showing 1-25 of 112 citing articles:

Advanced Machine Learning Techniques to Improve Hydrological Prediction: A Comparative Analysis of Streamflow Prediction Models
Vijendra Kumar, Naresh Kedam, Kul Vaibhav Sharma, et al.
Water (2023) Vol. 15, Iss. 14, pp. 2572-2572
Open Access | Times Cited: 97
Application of Machine Learning in Water Resources Management: A Systematic Literature Review
Fatemeh Ghobadi, Doosun Kang
Water (2023) Vol. 15, Iss. 4, pp. 620-620
Open Access | Times Cited: 73
The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook
Mohammad Amin Hariri‐Ardebili, Golsa Mahdavi, Larry K. Nuss, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106813-106813
Closed Access | Times Cited: 44
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
Application of machine learning in optical fiber sensors
Yifan Zhou, Yanan Zhang, Qi Yu, et al.
Measurement (2024) Vol. 228, pp. 114391-114391
Closed Access | Times Cited: 14
A coupled extreme gradient boosting-MPA approach for estimating daily reference evapotranspiration
Mohammed Achite, Hamid Nasiri, Okan Mert Katipoğlu, et al.
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 2
Closed Access | Times Cited: 1
Developing bearing capacity model for geogrid-reinforced stone columns improved soft clay utilizing MARS-EBS hybrid method
Ali Reza Ghanizadeh, Afshin Ghanizadeh, Panagiotis G. Asteris, et al.
Transportation Geotechnics (2022) Vol. 38, pp. 100906-100906
Closed Access | Times Cited: 57
Two Statistical Approaches to Justify the Use of the Logistic Function in Binary Logistic Regression
Abdelhamid Zaïdi, Asamh Saleh M. Al Luhayb
Mathematical Problems in Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 29
Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection
Nand Lal Kushwaha, Jitendra Rajput, Truptimayee Suna, et al.
Ecological Informatics (2023) Vol. 75, pp. 102122-102122
Closed Access | Times Cited: 29
Several Tree-Based Solutions for Predicting Flyrock Distance Due to Mine Blasting
Mojtaba Yari, Danial Jahed Armaghani, Chrysanthos Maraveas, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1345-1345
Open Access | Times Cited: 28
An Inclusive Survey on Marine Predators Algorithm: Variants and Applications
Rebika Rai, Krishna Gopal Dhal, Arunita Das, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3133-3172
Open Access | Times Cited: 28
Data-Driven Optimized Artificial Neural Network Technique for Prediction of Flyrock Induced by Boulder Blasting
Xianan Wang, Shahab Hosseini, Danial Jahed Armaghani, et al.
Mathematics (2023) Vol. 11, Iss. 10, pp. 2358-2358
Open Access | Times Cited: 27
A long-term multivariate time series forecasting network combining series decomposition and convolutional neural networks
Xingyu Wang, Hui Liu, Junzhao Du, et al.
Applied Soft Computing (2023) Vol. 139, pp. 110214-110214
Closed Access | Times Cited: 25
Suspended sediment load prediction modelling based on artificial intelligence methods: The tropical region as a case study
Mohammed Falah Allawi, Sadeq Oleiwi Sulaiman, Khamis Naba Sayl, et al.
Heliyon (2023) Vol. 9, Iss. 8, pp. e18506-e18506
Open Access | Times Cited: 23
A research landscape bibliometric analysis on climate change for last decades: Evidence from applications of machine learning
Samuel-Soma M. Ajibade, Abdelhamid Zaïdi, Festus Vıctor Bekun, et al.
Heliyon (2023) Vol. 9, Iss. 10, pp. e20297-e20297
Open Access | Times Cited: 22
Multilayer Perceptron and Their Comparison with Two Nature-Inspired Hybrid Techniques of Biogeography-Based Optimization (BBO) and Backtracking Search Algorithm (BSA) for Assessment of Landslide Susceptibility
Hossein Moayedi, Peren Jerfi Canatalay, Atefeh Ahmadi Dehrashid, et al.
Land (2023) Vol. 12, Iss. 1, pp. 242-242
Open Access | Times Cited: 21
A New Benchmark on Machine Learning Methodologies for Hydrological Processes Modelling: A Comprehensive Review for Limitations and Future Research Directions
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Knowledge-Based Engineering and Sciences (2023) Vol. 4, Iss. 3, pp. 65-103
Open Access | Times Cited: 20
Deep Learning-Based PM2.5 Long Time-Series Prediction by Fusing Multisource Data—A Case Study of Beijing
Meng Niu, Yuqing Zhang, Zihe Ren
Atmosphere (2023) Vol. 14, Iss. 2, pp. 340-340
Open Access | Times Cited: 19
Improved monthly runoff time series prediction using the CABES-LSTM mixture model based on CEEMDAN-VMD decomposition
Dong-mei Xu, An-dong Liao, Wenchuan Wang, et al.
Journal of Hydroinformatics (2023) Vol. 26, Iss. 1, pp. 255-283
Open Access | Times Cited: 19
Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning
Tran Xuan Bien, Abolfazl Jaafari, Tran Van Phong, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 131-146
Closed Access | Times Cited: 18
Advanced Tree-Based Techniques for Predicting Unconfined Compressive Strength of Rock Material Employing Non-Destructive and Petrographic Tests
Yuzhen Wang, Mahdi Hasanipanah, Ahmad Safuan A. Rashid, et al.
Materials (2023) Vol. 16, Iss. 10, pp. 3731-3731
Open Access | Times Cited: 18
Improving Significant Wave Height Prediction Using a Neuro-Fuzzy Approach and Marine Predators Algorithm
Rana Muhammad Adnan Ikram, Xinyi Cao, Tayeb Sadeghifar, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 6, pp. 1163-1163
Open Access | Times Cited: 17
Improved Marine Predators Algorithm and Extreme Gradient Boosting (XGBoost) for shipment status time prediction
Resul Özdemir, Murat Taşyürek, Veysel Aslantaş
Knowledge-Based Systems (2024) Vol. 294, pp. 111775-111775
Closed Access | Times Cited: 5
Improving Short-term Daily Streamflow Forecasting Using an Autoencoder Based CNN-LSTM Model
Umar Muhammad Mustapha Kumshe, Z.M. Abdulhamid, Baba Ahmad Mala, et al.
Water Resources Management (2024) Vol. 38, Iss. 15, pp. 5973-5989
Closed Access | Times Cited: 5
Enhancing BOD5 Forecasting Accuracy with the ANN-Enhanced Runge Kutta Model
Rana Muhammad Adnan, Ahmed A. Ewees, Mo Wang, et al.
Journal of environmental chemical engineering (2025), pp. 115430-115430
Closed Access
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