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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:

VIRS based detection in combination with machine learning for mapping soil pollution
Xiyue Jia, David O’Connor, Zhou Shi, et al.
Environmental Pollution (2020) Vol. 268, pp. 115845-115845
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Chemosphere (2021) Vol. 277, pp. 130126-130126
Closed Access | Times Cited: 264
Remote sensing of soil degradation: Progress and perspective
Jingzhe Wang, Jianing Zhen, Weifang Hu, et al.
International Soil and Water Conservation Research (2023) Vol. 11, Iss. 3, pp. 429-454
Open Access | Times Cited: 128
Influence of soil properties, topography, and land cover on soil organic carbon and total nitrogen concentration: A case study in Qinghai-Tibet plateau based on random forest regression and structural equation modeling
Lijun Dai, Jingsong Ge, Lingqing Wang, et al.
The Science of The Total Environment (2022) Vol. 821, pp. 153440-153440
Closed Access | Times Cited: 78
Retrieving soil heavy metals concentrations based on GaoFen-5 hyperspectral satellite image at an opencast coal mine, Inner Mongolia, China
Bo Zhang, Bin Guo, Bin Zou, et al.
Environmental Pollution (2022) Vol. 300, pp. 118981-118981
Closed Access | Times Cited: 71
Coupled retrieval of heavy metal nickel concentration in agricultural soil from spaceborne hyperspectral imagery
Yishan Sun, Shuisen Chen, Xuemei Dai, et al.
Journal of Hazardous Materials (2023) Vol. 446, pp. 130722-130722
Closed Access | Times Cited: 50
Monitoring of soil heavy metals based on hyperspectral remote sensing: A review
Yulong Wang, Bin Zou, Liyuan Chai, et al.
Earth-Science Reviews (2024) Vol. 254, pp. 104814-104814
Closed Access | Times Cited: 16
Open Soil Spectral Library (OSSL): Building reproducible soil calibration models through open development and community engagement
José Lucas Safanelli, Tomislav Hengl, Leandro Parente, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0296545-e0296545
Open Access | Times Cited: 3
Integrated Life Cycle Assessment for Sustainable Remediation of Contaminated Agricultural Soil in China
Yuanliang Jin, Liuwei Wang, Yinan Song, et al.
Environmental Science & Technology (2021) Vol. 55, Iss. 17, pp. 12032-12042
Closed Access | Times Cited: 90
Mapping soil pollution by using drone image recognition and machine learning at an arsenic-contaminated agricultural field
Xiyue Jia, Yining Cao, David O’Connor, et al.
Environmental Pollution (2020) Vol. 270, pp. 116281-116281
Open Access | Times Cited: 88
Assessing toxic metal chromium in the soil in coal mining areas via proximal sensing: Prerequisites for land rehabilitation and sustainable development
Jingzhe Wang, Xianjun Hu, Tiezhu Shi, et al.
Geoderma (2021) Vol. 405, pp. 115399-115399
Closed Access | Times Cited: 60
The Role of Machine Learning in Tribology: A Systematic Review
Uma Maheshwera Reddy Paturi, Sai Teja Palakurthy, N.S. Reddy
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 2, pp. 1345-1397
Closed Access | Times Cited: 57
Effects of hyperspectral data with different spectral resolutions on the estimation of soil heavy metal content: From ground-based and airborne data to satellite-simulated data
Yibo Wang, Xia Zhang, Weichao Sun, et al.
The Science of The Total Environment (2022) Vol. 838, pp. 156129-156129
Closed Access | Times Cited: 41
Machine learning in the identification, prediction and exploration of environmental toxicology: Challenges and perspectives
Xiaotong Wu, Qixing Zhou, Mu Li, et al.
Journal of Hazardous Materials (2022) Vol. 438, pp. 129487-129487
Closed Access | Times Cited: 41
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: 37
Advances and applications of machine learning and deep learning in environmental ecology and health
Shixuan Cui, Yuchen Gao, Yizhou Huang, et al.
Environmental Pollution (2023) Vol. 335, pp. 122358-122358
Closed Access | Times Cited: 32
Influencing factors identification and the nested structure analysis of heavy metals in soils in entire city and surrounding the multiple pollution sources
Pengwei Qiao, Shuo Wang, Mei Lei, et al.
Journal of Hazardous Materials (2023) Vol. 449, pp. 130961-130961
Closed Access | Times Cited: 26
Rapid detection of soil heavy metal pollution using hyperspectral data and multiscale spatial network
Haicheng Wang, S. Xiao, R. T. Shen, et al.
Environmental Technology & Innovation (2025) Vol. 37, pp. 104031-104031
Open Access | Times Cited: 1
Mapping soil arsenic pollution at a brownfield site using satellite hyperspectral imagery and machine learning
Xiyue Jia, Deyi Hou
The Science of The Total Environment (2022) Vol. 857, pp. 159387-159387
Closed Access | Times Cited: 34
Simultaneous estimation of multiple soil properties under moist conditions using fractional-order derivative of vis-NIR spectra and deep learning
Liu Ya, Yuanyuan Lü, Danyan Chen, et al.
Geoderma (2023) Vol. 438, pp. 116653-116653
Open Access | Times Cited: 20
Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy
Yongsheng Hong, Yiyun Chen, Ruili Shen, et al.
Environmental Pollution (2021) Vol. 291, pp. 118128-118128
Open Access | Times Cited: 36
Multi-Scale Stereoscopic Hyperspectral Remote Sensing Estimation of Heavy Metal Contamination in Wheat Soil over a Large Area of Farmland
Liang Zhong, Xueyuan Chu, Jiawei Qian, et al.
Agronomy (2023) Vol. 13, Iss. 9, pp. 2396-2396
Open Access | Times Cited: 16
Hg and As pollution in the soil-plant system evaluated by combining multispectral UAV-RS, geochemical survey and machine learning
L. Salgado, Carlos A. López‐Sánchez, Arturo Colina Vuelta, et al.
Environmental Pollution (2023) Vol. 333, pp. 122066-122066
Open Access | Times Cited: 15
Shaping the concentration of petroleum hydrocarbon pollution in soil: A machine learning and resistivity-based prediction method
Fansong Meng, Jinguo Wang, Zhou Chen, et al.
Journal of Environmental Management (2023) Vol. 345, pp. 118817-118817
Closed Access | Times Cited: 14
Machine Learning in Geosciences: A Review of Complex Environmental Monitoring Applications
Maria Silvia Binetti, Carmine Massarelli, Vito Felice Uricchio
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 2, pp. 1263-1280
Open Access | Times Cited: 5
Effects of optical and radar satellite observations within Google Earth Engine on soil organic carbon prediction models in Spain
Tao Zhou, Yajun Geng, Wenhao Lv, et al.
Journal of Environmental Management (2023) Vol. 338, pp. 117810-117810
Closed Access | Times Cited: 11
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