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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 distribution and source identification of potentially toxic elements in Yellow River Delta soils, China: An interpretable machine-learning approach
Mengge Zhou, Yonghua Li
The Science of The Total Environment (2023) Vol. 912, pp. 169092-169092
Closed Access | Times Cited: 15

Showing 15 citing articles:

Exploring the environmental risks and seasonal variations of potentially toxic elements (PTEs) in fine road dust in resource-based cities based on Monte Carlo simulation, geo-detector and random forest model
Y. Richard Yang, Xinwei Lu, Bo Yu, et al.
Journal of Hazardous Materials (2024) Vol. 473, pp. 134708-134708
Closed Access | Times Cited: 14
Heavy metal enrichment characteristics and synergistic evaluation in soil-crop-human systems of agricultural land with different soil parent materials
Jialiang Li, Jierui Dai, Liyuan Yang
Environmental Geochemistry and Health (2025) Vol. 47, Iss. 3
Closed Access | Times Cited: 1
Identifying interactive effects of spatial drivers in soil heavy metal pollutants using interpretable machine learning models
Deyu Duan, Peng Wang, Xin Rao, et al.
The Science of The Total Environment (2024) Vol. 934, pp. 173284-173284
Closed Access | Times Cited: 10
Identification of driving factors for heavy metals and polycyclic aromatic hydrocarbons pollution in agricultural soils using interpretable machine learning
Jun Wang, Yirong Deng, Zaoquan Huang, et al.
The Science of The Total Environment (2025) Vol. 960, pp. 178384-178384
Closed Access
Multiple Environmental Variables as Covariates to Improve the Accuracy of Spatial Prediction Models for SOM on Karst Aera
Yun Jiang, Fupeng Li, Yufeng Gong, et al.
Land Degradation and Development (2025)
Closed Access
Potential risk of heavy metals release in sediments and soils of the Yellow River Basin (Henan section): A perspective on bioavailability and bioaccessibility
Peng Wang, Furong Yu, Haonan Lv, et al.
Ecotoxicology and Environmental Safety (2025), pp. 117799-117799
Open Access
Hotspot mapping and risk prediction of fluoride in natural waters across the Tibetan Plateau
Yi Yang, Ru Zhang, Yangzong Deji, et al.
Journal of Hazardous Materials (2024) Vol. 465, pp. 133510-133510
Closed Access | Times Cited: 4
Digital Mapping and Scenario Prediction of Soil Salinity in Coastal Lands Based on Multi-Source Data Combined with Machine Learning Algorithms
Mengge Zhou, Yonghua Li
Remote Sensing (2024) Vol. 16, Iss. 14, pp. 2681-2681
Open Access | Times Cited: 4
Comprehensive Perspective on Contamination Identification, Source Apportionment, and Ecological Risk Assessment of Heavy Metals in Paddy Soils of a Tropical Island
Yan Guo, Yi Yang, Yonghua Li
Agronomy (2024) Vol. 14, Iss. 8, pp. 1777-1777
Open Access | Times Cited: 1
Machine learning for membrane bioreactor research: principles, methods, applications, and a tutorial
Yizhe Lai, Kang Xiao, Yifan He, et al.
Frontiers of Environmental Science & Engineering (2024) Vol. 19, Iss. 3
Closed Access | Times Cited: 1
Digital Mapping and Scenario Prediction of Soil Salinity in Coastal Lands Based on Multi-Source Data Combined with Machine Learning Algorithms
Mengge Zhou, Yonghua Li, Xiaoyong Liao
(2024)
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
Understanding the risks of peri-urbanization to food systems to help establish sustainable agriculture near cities
Xingjia Wang, Jiamin Ma, Dongyan Wang
Environmental Impact Assessment Review (2024) Vol. 112, pp. 107777-107777
Closed Access
An Interpretable Model for Salinity Inversion Assessment of the South Bank of the Yellow River Based on Optuna Hyperparameter Optimization and XGBoost
Xia Liu, Yu Hen Hu, Xiang Li, et al.
Agronomy (2024) Vol. 15, Iss. 1, pp. 18-18
Open Access
Spatial patterns and mechanism of the impact of soil salinity on potentially toxic elements in coastal areas
Mengge Zhou, Yonghua Li
The Science of The Total Environment (2024) Vol. 951, pp. 175802-175802
Closed Access
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