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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:

Spatial prediction of soil contamination based on machine learning: a review
Yang Zhang, Mei Lei, Kai Li, et al.
Frontiers of Environmental Science & Engineering (2023) Vol. 17, Iss. 8
Closed Access | Times Cited: 15

Showing 15 citing articles:

Integrating artificial intelligence, machine learning, and deep learning approaches into remediation of contaminated sites: A review
Jagadeesh Kumar Janga, Krishna R. Reddy, K. V. N. S. Raviteja
Chemosphere (2023) Vol. 345, pp. 140476-140476
Closed Access | Times Cited: 33
Prediction of Soil Pollution Using Machine Learning Methods in Absheron Peninsula
Maya Abdullayeva, Tunzala Babayeva, Shebnem Dadashova
Lecture notes in networks and systems (2025), pp. 215-223
Closed Access
Machine learning for predictive mapping of exceedance probabilities for potentially toxic elements in Czech farmland
Jan Skála, Daniel Žížala, Robert Minařík
Journal of Environmental Management (2025) Vol. 380, pp. 125035-125035
Closed Access
Research progress on remediation of petroleum contaminated soil by persulfate: existing technologies, degradation pathway and future direction
Jinlan Xu, Huiwen Guan, Chuanyu Liu, et al.
Journal of environmental chemical engineering (2025), pp. 116540-116540
Closed Access
Machine learning predicts selectivity of green synthesized iron nanoparticles toward typical contaminants: critical factors in synthesis conditions, material properties, and reaction process
Yiwen Xiao, Zhenjun Zhang, Jiajiang Lin, et al.
Environmental Research (2025), pp. 121605-121605
Closed Access
Paving the way toward soil safety and health: current status, challenges, and potential solutions
Chiheng Chu, Lizhong Zhu
Frontiers of Environmental Science & Engineering (2024) Vol. 18, Iss. 6
Open Access | Times Cited: 4
Application of machine learning models in groundwater quality assessment and prediction: progress and challenges
Yanpeng Huang, Chao Wang, Yuanhao Wang, et al.
Frontiers of Environmental Science & Engineering (2023) Vol. 18, Iss. 3
Closed Access | Times Cited: 8
Prediction of Total Petroleum Hydrocarbons and Heavy Metals in Acid Tars Using Machine Learning
Mihaela Tiţa, Ion Onuţu, Bogdan Doicin
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3382-3382
Open Access | Times Cited: 1
Prediction of soil heavy metal contents in urban residential areas and the strength of deep learning: A case study of Beijing
Ying Hou, Wenhao Ding, Tian Xie, et al.
The Science of The Total Environment (2024) Vol. 950, pp. 175133-175133
Closed Access | Times Cited: 1
Emerging investigator series: predicted losses of sulfur and selenium in european soils using machine learning: a call for prudent model interrogation and selection
Gerrad D. Jones, Logan Insinga, Boris Droz, et al.
Environmental Science Processes & Impacts (2024) Vol. 26, Iss. 9, pp. 1503-1515
Closed Access | Times Cited: 1
Modelling icing growth on overhead transmission lines: Current advances and future directions
Hui Hou, Yan Wang, Xiaolu Bai, et al.
Energy Conversion and Economics (2024)
Closed Access | Times Cited: 1
Natural factor-based spatial prediction and source apportionment of typical heavy metals in Chinese surface soil: Application of machine learning models
Jin Chao, Huangling Gu, Qinpeng Liao, et al.
Environmental Pollution (2024), pp. 125373-125373
Closed Access | Times Cited: 1
Trend analysis of machine learning application in the study of soil and sediment contamination
Mohammad Reza Sabour, P. Sakhaie, F. Sharifian
International Journal of Environmental Science and Technology (2024) Vol. 21, Iss. 12, pp. 8327-8336
Closed Access
Applications of geographically weighted machine learning models for predicting soil heavy metal concentrations across mining sites
Hye-Min Jeong, Younghun Lee, Byeongwon Lee, et al.
The Science of The Total Environment (2024) Vol. 957, pp. 177667-177667
Closed Access
Artificial Intelligence Prediction of Landfill Gas Generation and Settlement
Jagadeesh Kumar Janga, Krishna R. Reddy
Lecture notes in civil engineering (2024), pp. 231-241
Closed Access
Enhancing Soil Pollution Prediction Through Expert-Defined Risk Zones and Machine Learning: A Case Study in the Netherlands
Jasper Braakman, Seyed Sahand Mohammadi Ziabari, Anna M.H. Korver
Lecture notes in computer science (2024), pp. 219-225
Closed Access
Design of an Efficient Soil Parameter Monitoring & Health Prediction Model via Regressive Optimizations
Anagha Choudhari, Dinesh B. Bhoyar, W. P. Badole
(2023), pp. 1-7
Closed Access | Times Cited: 1
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