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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 25 citing articles:

SAlexNet: Superimposed AlexNet using Residual Attention Mechanism for Accurate and Efficient Automatic Primary Brain Tumor Detection and Classification
Qurat-ul-ain Chaudhary, Shahzad Ahmad Qureshi, Touseef Sadiq, et al.
Results in Engineering (2025), pp. 104025-104025
Open Access | Times Cited: 3
Unveiling the Hidden Connections: Using Explainable Artificial Intelligence to Assess Water Quality Criteria in Nine Giant Rivers
Sourav Kundu, P. K. Datta, Puja Pal, et al.
Journal of Cleaner Production (2025), pp. 144861-144861
Closed Access | Times Cited: 2
Comparison and integration of physical and interpretable AI-driven models for rainfall-runoff simulation
Sara Asadi, Patricia Jimeno‐Sáez, Adrián López-Ballesteros, et al.
Results in Engineering (2024) Vol. 24, pp. 103048-103048
Open Access | Times Cited: 9
Adaptive drive-based integration technique for predicting rheological and mechanical properties of fresh gangue backfill slurry
Chaowei Dong, Jianfei Xu, Nan Zhou, et al.
Case Studies in Construction Materials (2025), pp. e04346-e04346
Open Access | Times Cited: 1
Unlocking the Potential of Artificial Intelligence for Sustainable Water Management Focusing Operational Applications
J. Drisya, Adel Bouhoula, Waleed Al-Zubari
Water (2024) Vol. 16, Iss. 22, pp. 3328-3328
Open Access | Times Cited: 6
Study on the Spatiotemporal Evolution and Prediction of Internal Porosity in Concrete Specimens under Sulfate Attack Based on Machine Learning Models
Chun Gong, Dunwen Liu, Kunpeng Cao, et al.
Results in Engineering (2024), pp. 103258-103258
Open Access | Times Cited: 4
Machine Learning Prediction of Permeability Distribution in the X Field Malay Basin Using Elastic Properties
Zaky Ahmad Riyadi, John Oluwadamilola Olutoki, Maman Hermana, et al.
Results in Engineering (2024), pp. 103421-103421
Open Access | Times Cited: 4
Modeling Nonlinear Deformation in Magnetic Polyelectrolyte Hydrogels: A Hybrid FEM-Machine Learning Framework
Hadi Mehdipour, H. Darijani, Mahmood Matin, et al.
Results in Engineering (2025), pp. 104503-104503
Open Access
A review of recent hybridized machine learning methodologies for time series forecasting on water-related variables
Van Kwan Zhi Koh, Ye Li, Xing Yong Kek, et al.
Journal of Hydrology (2025), pp. 132909-132909
Closed Access
Exploring failure mechanisms in reinforced concrete slab-column joints: Machine learning and causal analysis
Aybike Özyüksel Çiftçioğlu
Engineering Failure Analysis (2025), pp. 109549-109549
Closed Access
Towards Safer Water: AI-Driven Predictive Analytics for Disease Detection
Jaya Zalte, Harshal Shah
Research Square (Research Square) (2025)
Open Access
Irrigation Water Quality Prognostication: An Innovative Ensemble Architecture Leveraging Deep Learning and Machine Learning for Enhanced SAR and ESP Estimation in the East Coast of India
Alok Kumar Pati, Alok Ranjan Tripathy, Debabrata Nandi, et al.
Journal of environmental chemical engineering (2025), pp. 116433-116433
Closed Access
Climate change and human activities have resulted in substantial alterations to ecosystem quality within the Yarlung Zangbo River basin
Zhangxi Ye, Jie Gong, Teng Wang, et al.
Deleted Journal (2025)
Closed Access
Water Quality Assessment of River Basins: New Insights and Practical Solutions
Qianqian Zhang
Water (2025) Vol. 17, Iss. 8, pp. 1207-1207
Open Access
Predicting dissolved oxygen in water areas using transfer learning and visual information from real-time surveillance videos
Jihong Wang, Yituo Zhang, Chaolin Li, et al.
Journal of Cleaner Production (2025), pp. 145547-145547
Closed Access
Geospatial Exploration of Drinking Water Quality in the Coastal Region of Bangladesh: A Case Study from Paikgacha, Khulna
Md Mohi Uddin, Guohua Fang, Xianfeng Huang, et al.
Environmental Forensics (2025), pp. 1-20
Closed Access
A Fuzzy-Neural Model for Personalized Learning Recommendations Grounded in Experiential Learning Theory
Christos Troussas, Akrivi Krouska, Phivos Mylonas, et al.
Information (2025) Vol. 16, Iss. 5, pp. 339-339
Open Access
A review of machine learning and internet-of-things on the water quality assessment: methods, applications and future trends
Gangani Dharmarathne, A.M.S.R. Abekoon, Madhusha Bogahawaththa, et al.
Results in Engineering (2025), pp. 105182-105182
Open Access
Powder Particle Classification with Scanning Electron Microscopy Images Using Machine Learning Techniques
Ivan Malashin, D. A. Martysyuk
Expert Systems with Applications (2025) Vol. 286, pp. 128001-128001
Closed Access
Explainable artificial intelligence to estimate the Sri Lankan (Ceylon) Tea crop yield
Lakindu Mampitiya, Harindu S. Sumanasekara, Namal Rathnayake, et al.
Smart Agricultural Technology (2025), pp. 100999-100999
Open Access
Interpretable prediction of coagulant dosage in drinking water treatment plant based on automated machine learning and SHAP method
Liyan Feng, Ying Zhang, Xiaoting Wei, et al.
Journal of Water Process Engineering (2025) Vol. 75, pp. 107925-107925
Closed Access
Toward Trustworthy Machine Learning for Daily Sediment Modeling in the Riverine Systems: An Integrated Framework With Enhanced Uncertainty Quantification and Interpretability
Zewei Yue, Nannan Wang, Benda Xu, et al.
Water Resources Research (2025) Vol. 61, Iss. 5
Open Access
Comparative analysis of multi-criteria decision making methods for prioritizing influential factors of ChatGPT adoption in higher education
Attasit Wiangkham, Rattawut Vongvit
Expert Systems with Applications (2025), pp. 128188-128188
Closed Access
Efficient Computational Investigation on Accurate Daily Soil Temperature Prediction Using Boosting Ensemble Methods Explanation Based on SHAP Importance Analysis
Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, et al.
Results in Engineering (2024), pp. 103220-103220
Open Access | Times Cited: 3
Predicting Sustainable Crop Yields: Deep Learning and Explainable AI Tools
Ivan Malashin, В С Тынченко, Andrei Gantimurov, et al.
Sustainability (2024) Vol. 16, Iss. 21, pp. 9437-9437
Open Access | Times Cited: 3
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