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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:

Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: Hybridization of ensemble TVF-EMD-VMD, Boruta-SHAP, and eXplainable GPR
Mehdi Jamei, Mumtaz Ali, Masoud Karbasi, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121512-121512
Closed Access | Times Cited: 19

Showing 19 citing articles:

Research on arch dam deformation prediction method based on interpretability clustering and panel data model
Dongyan Jia, Jie Yang, Chunhui Ma, et al.
Engineering Structures (2025) Vol. 329, pp. 119794-119794
Closed Access
Predictive Modeling of soil salinity integrating remote sensing and soil variables: An ensembled deep learning approach
Sana Arshad, Syed Jamil Hasan Kazmi, Endre Harsányi, et al.
Energy Nexus (2025), pp. 100374-100374
Open Access
Dynamic damage functions for scour protection at monopile foundations: Application of ensemble machine learning models
Mohammad Najafzadeh, Ana Margarida Bento, Sajad Basirian, et al.
Ocean Engineering (2025) Vol. 323, pp. 120590-120590
Closed Access
Mitigating urban heat island through urban-rural transition zone landscape configuration: Evaluation based on an interpretable ensemble machine learning framework
Shengyu Guan, Y. Chen, Tianwen Wang, et al.
Sustainable Cities and Society (2025) Vol. 123, pp. 106272-106272
Closed Access
A State-of-the-art Novel Approach to Predict Potato Crop Coefficient (Kc) by Integrating Advanced Machine Learning Tools
Saad Javed Cheema, Masoud Karbasi, Gurjit S. Randhawa, et al.
Smart Agricultural Technology (2025), pp. 100896-100896
Open Access
Surface water quality index forecasting using multivariate complementing approach reinforced with locally weighted linear regression model
Tao Hai, Iman Ahmadianfar, Bijay Halder, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 22, pp. 32382-32406
Closed Access | Times Cited: 4
Robust kernel extreme learning machines with weighted mean of vectors and variational mode decomposition for forecasting total dissolved solids
Huiling Chen, Iman Ahmadianfar, Guoxi Liang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108587-108587
Closed Access | Times Cited: 4
Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting
Masoud Karbasi, Mumtaz Ali, Aitazaz A. Farooque, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124900-124900
Closed Access | Times Cited: 3
A hybrid load forecasting system based on data augmentation and ensemble learning under limited feature availability
Qing Yang, Zhirui Tian
Expert Systems with Applications (2024), pp. 125567-125567
Closed Access | Times Cited: 3
Investigation on spatter characteristics of liquid phase and life span of submerged lance in the top-blown smelting process using hydraulic modelling
Kai Yang, Bo Yu, Wuliang Yin, et al.
Advanced Powder Technology (2024) Vol. 35, Iss. 6, pp. 104492-104492
Closed Access | Times Cited: 2
Machine learning modeling of thermally assisted biodrying process for municipal sludge
Kaiqiang Zhang, Ningfung Wang
Waste Management (2024) Vol. 188, pp. 95-106
Closed Access | Times Cited: 2
Evaluating machine learning performance in predicting sodium adsorption ratio for sustainable soil-water management in the eastern Mediterranean
Safwan Mohammed, Sana Arshad, Bashar Bashir, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122640-122640
Open Access | Times Cited: 2
An interpretable (explainable) model based on machine learning and SHAP interpretation technique for mapping wind erosion hazard
Hamid Gholami, Ehsan Darvishi, Navazollah Moradi, et al.
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 1
Enhancing multi-step short-term solar radiation forecasting based on optimized generalized regularized extreme learning machine and multi-scale Gaussian data augmentation technique
Zheng Wang, Peng Tian, Xuedong Zhang, et al.
Applied Energy (2024) Vol. 377, pp. 124708-124708
Closed Access
Monitoring of Greenhouse Gas Emission Drivers in Atlantic Canadian Potato Production: A Robust Explainable Intelligent Glass-Box
Mehdi Jamei, Muhammad Hassan, Aitazaz A. Faroouqe, et al.
Results in Engineering (2024), pp. 103297-103297
Open Access
Prediction and optimization of flue pressure in sintering process based on SHAP
Mingyu Wang, Jue Tang, Mansheng Chu, et al.
International Journal of Minerals Metallurgy and Materials (2024) Vol. 32, Iss. 2, pp. 346-359
Closed Access
Multistep-Ahead Prediction of Logging-While-Drilling Resistivity Curves Based on Seismic-Guided Seq2Seq-Long Short-Term Memory
Lingyuan Zhang, Hongbing Zhang, Xinyi Zhu, et al.
SPE Journal (2024) Vol. 29, Iss. 10, pp. 5170-5188
Closed Access
Industrial adoption of machine learning techniques for early identification of invalid bug reports
Muhammad Laiq, Nauman bin Ali, Jürgen Börstler, et al.
Empirical Software Engineering (2024) Vol. 29, Iss. 5
Open Access
Adaptive Personalized Feature Selection for underwater Acoustic Signals
Yongchun Miao, Henan Quan, Yingsong Li, et al.
(2024), pp. 272-277
Closed Access
A River Water Quality Prediction Method Based on Dual Signal Decomposition and Deep Learning
Yifan Bai, Ming Peng, Mei Wang
Water (2024) Vol. 16, Iss. 21, pp. 3099-3099
Open Access
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