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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:

Predicting Total Dissolved Gas Concentration on a Daily Scale Using Kriging Interpolation, Response Surface Method and Artificial Neural Network: Case Study of Columbia River Basin Dams, USA
Salim Heddam, Behrooz Keshtegar, Özgür Kişi
Natural Resources Research (2019) Vol. 29, Iss. 3, pp. 1801-1818
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches
Shun‐Peng Zhu, Behrooz Keshtegar, Mohamed El Amine Ben Seghier, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 393, pp. 114730-114730
Closed Access | Times Cited: 91
An ANN-adaptive dynamical harmony search algorithm to approximate the flyrock resulting from blasting
Mahdi Hasanipanah, Behrooz Keshtegar, Duc‐Kien Thai, et al.
Engineering With Computers (2020) Vol. 38, Iss. 2, pp. 1257-1269
Closed Access | Times Cited: 61
Prediction of high-strength concrete: high-order response surface methodology modeling approach
Mohammed Majeed Hameed, Mohamed Khalid AlOmar, Wajdi Jaber Baniya, et al.
Engineering With Computers (2021) Vol. 38, Iss. S2, pp. 1655-1668
Closed Access | Times Cited: 55
Nonlinear models based on enhanced Kriging interpolation for prediction of rock joint shear strength
Mahdi Hasanipanah, Debiao Meng, Behrooz Keshtegar, et al.
Neural Computing and Applications (2020) Vol. 33, Iss. 9, pp. 4205-4215
Closed Access | Times Cited: 51
Production of total dissolved gas supersaturation at hydropower facilities and its transport: A review
Pengcheng Li, David Z. Zhu, Ran Li, et al.
Water Research (2022) Vol. 223, pp. 119012-119012
Closed Access | Times Cited: 31
SVR-RSM: a hybrid heuristic method for modeling monthly pan evaporation
Behrooz Keshtegar, Salim Heddam, Abderrazek Sebbar, et al.
Environmental Science and Pollution Research (2019) Vol. 26, Iss. 35, pp. 35807-35826
Closed Access | Times Cited: 52
Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling
Sani I. Abba, Rabiu Aliyu Abdulkadir, Saad Sh. Sammen, et al.
Applied Soft Computing (2021) Vol. 114, pp. 108036-108036
Open Access | Times Cited: 41
Prediction model and application of machine learning for supersaturated total dissolved gas generation in high dam discharge
Zhenhua Wang, Jingjie Feng, Mingyu Liang, et al.
Water Research (2022) Vol. 220, pp. 118682-118682
Closed Access | Times Cited: 23
Designing a reliable machine learning system for accurately estimating the ultimate condition of FRP-confined concrete
Meysam Alizamir, Aliakbar Gholampour, Sungwon Kim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Optimization of buckling load for laminated composite plates using adaptive Kriging-improved PSO: A novel hybrid intelligent method
Behrooz Keshtegar, T. Nguyen‐Thoi, Tam T. Truong, et al.
Defence Technology (2020) Vol. 17, Iss. 1, pp. 85-99
Open Access | Times Cited: 39
Major 2 Satisfiability Logic in Discrete Hopfield Neural Network
Alyaa Alway, Nur Ezlin Zamri, Syed Anayet Karim, et al.
International Journal of Computer Mathematics (2021) Vol. 99, Iss. 5, pp. 924-948
Closed Access | Times Cited: 33
Construction and evaluation of total dissolved gas prediction model based on machine learning
L. Yang, Huixia Yang, Yunyun Wang, et al.
Journal of Lake Sciences (2025) Vol. 37, Iss. 2, pp. 508-516
Open Access
AK-GWO: a novel hybrid optimization method for accurate optimum hierarchical stiffened shells
Reza Kolahchi, Kuo Tian, Behrooz Keshtegar, et al.
Engineering With Computers (2020) Vol. 38, Iss. S1, pp. 29-41
Closed Access | Times Cited: 19
Towards a Comprehensive Assessment of Statistical versus Soft Computing Models in Hydrology: Application to Monthly Pan Evaporation Prediction
Mohammad Zounemat‐Kermani, Behrooz Keshtegar, Özgür Kişi, et al.
Water (2021) Vol. 13, Iss. 17, pp. 2451-2451
Open Access | Times Cited: 15
Prediction of effluent arsenic concentration of wastewater treatment plants using machine learning and kriging-based models
Mohammad Zounemat‐Kermani, Meysam Alizamir, Behrooz Keshtegar, et al.
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 14, pp. 20556-20570
Open Access | Times Cited: 14
Daily water‐level forecasting for multiple polish lakes using multiple data‐driven models
Senlin Zhu, Qingfeng Ji, Mariusz Ptak, et al.
Geographical Journal (2022) Vol. 189, Iss. 2, pp. 357-369
Closed Access | Times Cited: 8
Parallel chaos search-based incremental extreme learning machine
Salim Heddam
Elsevier eBooks (2023), pp. 349-364
Closed Access | Times Cited: 4
The Taylor Diagram with Distance: A New Way to Compare the Performance of Models
Mohammad Ali Ghorbani, Rasoul Jani, Farzan Mohajeri, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024)
Closed Access | Times Cited: 1
Study on the effect of aeration system on the mass transfer performance of supersaturated total dissolved gas
Ling Yang, Jiajia Liang, Huixia Yang, et al.
Environmental Technology (2024) Vol. 46, Iss. 6, pp. 963-975
Closed Access | Times Cited: 1
Explainability of Machine Learning Using Shapley Additive exPlanations (SHAP): CatBoost, XGBoost and LightGBM for Total Dissolved Gas Prediction
Salim Heddam
Studies in big data (2024), pp. 1-25
Closed Access | Times Cited: 1
A modified Taylor diagram to improve the comparison of models
Mohammad Ali Ghorbani, Rahman Khatibi, Heikki Ruskeepää
Research Square (Research Square) (2023)
Closed Access | Times Cited: 2
Experimental and Simulation Investigation of Total Dissolved Gas Prediction in Supersaturated Water Treatment: Focusing on Source Calibration and Combining with Bubble Coalescence
Dan Zhang, Huixia Yang, Yangming Ou, et al.
Environmental Engineering Science (2023) Vol. 40, Iss. 7, pp. 282-294
Closed Access | Times Cited: 2
Estimating Johnson-Cook Material Parameters using Neural Networks
Nesar Ahmed Titu, Matt Baucum, Timothy No, et al.
Procedia Manufacturing (2021) Vol. 53, pp. 680-689
Open Access | Times Cited: 5
Evolved-Cooperative Correntropy-Based Extreme Learning Machine for Robust Prediction
Wenjuan Mei, Zhen Liu, Yuanzhang Su, et al.
Entropy (2019) Vol. 21, Iss. 9, pp. 912-912
Open Access | Times Cited: 3
A Metamodel-Based Multi-Scale Reliability Analysis of FRP Truss Structures under Hybrid Uncertainties
Desheng Zhao, Xiaoyi Zhou, Wenqing Wu
Materials (2023) Vol. 17, Iss. 1, pp. 29-29
Open Access | Times Cited: 1
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