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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:

Heavy metals prediction in coastal marine sediments using hybridized machine learning models with metaheuristic optimization algorithm
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Wan Hanna Melini Wan Mohtar, Raad Z. Homod, et al.
Chemosphere (2024) Vol. 352, pp. 141329-141329
Closed Access | Times Cited: 11

Showing 11 citing articles:

Evidential-bio-inspired algorithms for modeling groundwater total hardness: A pioneering implementation of evidential neural network for feature selection in water resources management
A. G. Usman, Abdulhayat M. Jibrin, Sagiru Mati, et al.
Environmental Chemistry and Ecotoxicology (2025)
Open Access
Spatial distribution, contamination levels, and risk assessment of heavy metals along the Eastern India coastline
Mrunmayee Manjari Sahoo, Janaki Ballav Swain
Marine Pollution Bulletin (2025) Vol. 214, pp. 117779-117779
Closed Access
Data-intelligence approaches for comprehensive assessment of discharge coefficient prediction in cylindrical weirs: Insights from extensive experimental data sets
Kiyoumars Roushangar, Saman Shahnazi, Amir Mehrizad
Measurement (2024) Vol. 233, pp. 114673-114673
Closed Access | Times Cited: 3
Long-term natural streamflow forecasting under drought scenarios using data-intelligencw modeling
Lavínia D. Balthazar, Félix A. Miranda, Vinícius B.R. Cândido, et al.
Water Cycle (2024) Vol. 5, pp. 266-277
Open Access | Times Cited: 2
Tracking the impact of heavy metals on human health and ecological environments in complex coastal aquifers using improved machine learning optimization
Abdulhayat M. Jibrin, Sani I. Abba, Jamilu Usman, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 40, pp. 53219-53236
Closed Access | Times Cited: 2
Predicting bioavailability of potentially toxic elements (PTEs) in sediment using various machine learning (ML) models: A case study in Mahabad Dam and River-Iran
Fateme Rezaei, Meisam Rastegari Mehr, Ata Shakeri, et al.
Journal of Environmental Management (2024) Vol. 366, pp. 121788-121788
Closed Access | Times Cited: 2
Screening and Optimization of Soil Remediation Strategies Assisted by Machine Learning
Bowei Zhang, Xin Wang, Chongxuan Liu
Processes (2024) Vol. 12, Iss. 6, pp. 1157-1157
Open Access | Times Cited: 1
Assessing petrochemical effluent effect on heavy metal pollution in Musa Estuary: A numerical modeling approach
Mohammad Javad Jourtani, Ahmad Shanehsazzadeh, Hossein Ardalan, et al.
Marine Pollution Bulletin (2024) Vol. 201, pp. 116201-116201
Closed Access
Salmon Salar Optimization: A Novel Natural Inspired Metaheuristic Method for Deep-Sea Probe Design for Unconventional Subsea Oil Wells
Jia Guo, Yan Zhou, Yuji Sato, et al.
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 10, pp. 1802-1802
Open Access
Hybrid weights structure model based on Lagrangian principle to handle big data challenges for identification of oil well production: A case study on the North Basra oilfield, Iraq
Raad Z. Homod, A. S. Albahri, Basil Sh. Munahi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109465-109465
Closed Access
Machine learning models with innovative outlier detection techniques for predicting heavy metal contamination in soils
Ram Proshad, S Asha, Rong Kun Jason Tan, et al.
Journal of Hazardous Materials (2024) Vol. 481, pp. 136536-136536
Closed Access
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