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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:

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

Showing 10 citing articles:

Machine learning-supported determination for site-specific natural background values of soil heavy metals
Jian Wu, Chengmin Huang
Journal of Hazardous Materials (2025) Vol. 487, pp. 137276-137276
Closed Access | Times Cited: 1
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
An Innovative Framework for Urban Allergenic Risk Assessment: Perspectives from Hazard to “Hazard-Exposure-Vulnerability”
Rongbo Xiao, Junhong Zhong, Xin Rao, et al.
Building and Environment (2025), pp. 112507-112507
Closed Access
A Prediction–Interaction–Driving Framework for Ecosystem Services Under Climate Change and Human Activities: A Case Study of Zoigê County
Wanting Zeng, He Li, Zhengwei He, et al.
Land (2025) Vol. 14, Iss. 3, pp. 441-441
Open Access
Spatial heterogeneity and interaction mechanism of human activity intensity and land-use carbon emissions along the urban-rural gradient: A case study of the Yellow River Delta
Yijia Yang, Yingying Ma
Journal of Environmental Management (2025) Vol. 380, pp. 125071-125071
Closed Access
Interpretable causal machine learning optimization tool for improving efficiency of internal carbon source-biological denitrification
Shiqi Liu, Zeqing Long, Jinsong Liang, et al.
Bioresource Technology (2024) Vol. 416, pp. 131787-131787
Closed Access | Times Cited: 1
Heavy metals in roadside soil along an expressway connecting two megacities in China: Accumulation characteristics, sources and influencing factors
Min Peng, Yang Zheng, Zijia Liu, et al.
The Science of The Total Environment (2024) Vol. 955, pp. 177095-177095
Closed Access | Times Cited: 1
Monitoring Soil Copper in Urban Land Using Visibale and Near-Infrared Spectroscopy with Spatially Nearby Samples
Yi Liu, Tiezhu Shi, Zeying Lan, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5612-5612
Open Access
Mapping Soil Cadmium Content Using Multi-Spectral Satellite Images and Multiple-Residual-Stacking Model: Incorporating Information from Homologous Pollution and Spectrally Active Materials
Chao Tan, Haijun Luan, Qiuhua He, et al.
Journal of Hazardous Materials (2024) Vol. 485, pp. 136755-136755
Closed Access
Identifying driving factors and their interacting effects on accumulation of heavy metals in cultivated soils based on optimal parameter geographic detector model
Yixi Xie, Shasha Zhu, Pan Wu, et al.
Journal of Geochemical Exploration (2024) Vol. 266, pp. 107573-107573
Closed Access
Machine learning combined with geodetector to predict the spatial distribution of soil heavy metals in mining areas
Haiying Hu, Wei Zhou, Xiaoyang Liu, et al.
The Science of The Total Environment (2024) Vol. 959, pp. 178281-178281
Closed Access
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