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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 of lead concentration in peri-urban soil: Threshold and interaction effects of environmental variables
Zihao Wu, Yiyun Chen, Zhen Yang, et al.
Geoderma (2022) Vol. 429, pp. 116193-116193
Open Access | Times Cited: 23

Showing 23 citing articles:

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: 13
Digital mapping of heavy metals in urban soils: A review and research challenges
Tiezhu Shi, He Li, Ran Wang, et al.
CATENA (2023) Vol. 228, pp. 107183-107183
Closed Access | Times Cited: 28
Global Perspectives on Lead Contamination and Health Risks in Surface Water, Rice Grains, and Soils
Amit Kumar, Vinod Kumar, Monika Thakur, et al.
Land Degradation and Development (2025)
Closed Access
On the effectiveness of multi-scale landscape metrics in soil organic carbon mapping
Jiaxue Wang, Yiyun Chen, Zihao Wu, et al.
Geoderma (2024) Vol. 449, pp. 117026-117026
Open Access | Times Cited: 3
Mercury Prediction in Urban Soils by Remote Sensing and Relief Data Using Machine Learning Techniques
Azamat Suleymanov, Ruslan Suleymanov, A. A. Kulagin, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3158-3158
Open Access | Times Cited: 9
Evaluation of the prediction effectiveness for geochemical mapping using machine learning methods: A case study from northern Guangdong Province in China
Songjian Lv, Ying Zhu, Cheng Li, et al.
The Science of The Total Environment (2024) Vol. 927, pp. 172223-172223
Closed Access | Times Cited: 2
A hierarchical residual correction-based hyperspectral inversion method for soil heavy metals considering spatial heterogeneity
Yulong Wang, Bin Zou, Sha Li, et al.
Journal of Hazardous Materials (2024) Vol. 479, pp. 135699-135699
Closed Access | Times Cited: 2
Threshold and interaction effects of environmental variables affecting the spatial distribution of Pb
Yongcheng Jiang, Fupeng Li, Yufeng Gong, et al.
Journal of Hazardous Materials (2024) Vol. 480, pp. 135914-135914
Closed Access | Times Cited: 2
Unraveling the threshold and interaction effects of environmental variables on soil organic carbon mapping in plateau watershed
Chengqi Zhang, Yiyun Chen, Yujiao Wei, et al.
Geoderma (2024) Vol. 450, pp. 117032-117032
Open Access | Times Cited: 2
Digital soil mapping of heavy metals using multiple geospatial data: Feature identification and deep neural network
Qian Liu, Bin Du, He Li, et al.
Ecological Indicators (2023) Vol. 154, pp. 110863-110863
Open Access | Times Cited: 7
Mapping Soil Organic Carbon in Floodplain Farmland: Implications of Effective Range of Environmental Variables
Zihao Wu, Yiyun Chen, Yuanli Zhu, et al.
Land (2023) Vol. 12, Iss. 6, pp. 1198-1198
Open Access | Times Cited: 5
The Spatiotemporal Variability of Soil Available Phosphorus and Potassium in Karst Region: The Crucial Role of Socio-Geographical Factors
Weichun Zhang, Yunyi Zhang, Xin Zhang, et al.
Land (2024) Vol. 13, Iss. 6, pp. 882-882
Open Access | Times Cited: 1
Improvement of Extraction Efficiency and Metabolites of Pollutants from Medium and Low Concentration Organic Polluted Soil
Xiaojuan Bai, Wei Song, Linlong Guo, et al.
Science for energy and environment. (2024), pp. 5-5
Open Access | Times Cited: 1
Spatial variability of some heavy metals in arid harrats soils: Combining machine learning algorithms and synthetic indexes based-multitemporal Landsat 8/9 to establish background levels
Magboul M. Sulieman, Fuat Kaya, Ali Keshavarzi, et al.
CATENA (2023) Vol. 234, pp. 107579-107579
Open Access | Times Cited: 4
Mapping of potentially toxic elements in the urban topsoil of St. Petersburg (Russia) using regression kriging and random forest algorithms
Azamat Suleymanov, Vyacheslav Polyakov, Alexander Kozlov, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 23
Closed Access | Times Cited: 4
Using geostatistics and machine learning models to analyze the influence of soil nutrients and terrain attributes on lead prediction in forest soils
Samuel Ahado, Prince Chapman Agyeman, Luboš Borůvka, et al.
Modeling Earth Systems and Environment (2023) Vol. 10, Iss. 2, pp. 2099-2112
Closed Access | Times Cited: 2
Heavy metal contamination of vegetables in urban and peri-urban areas. An overview
Gerhard Fischer, F. Fischer
Revista Colombiana de Ciencias Hortícolas (2023) Vol. 17, Iss. 2
Open Access | Times Cited: 2
A Hierarchical Residual Correction-Based Hyperspectral Inversion Method for Soil Heavy Metals Considering Spatial Heterogeneity
Yulong Wang, Bin Zou, Sha Li, et al.
(2024)
Closed Access
Elucidating the leaf-based heavy metal bioindication in two significant plant taxa from Caucasus
Münir Öztürk, Volkan Altay, Ernaz Altundağ, et al.
NUST Journal of Natural Sciences (2024) Vol. 9, Iss. 4
Closed Access
Utilizing lead isotopes in airborne particulates and soils to trace lead sources: A case study from southern Taiwan
Chung‐Shin Yuan, Jian-Wei You, Yu-Lun Tseng, et al.
Atmospheric Pollution Research (2024), pp. 102390-102390
Closed Access
Groundwater health risks and water quality assessment in the sources of many mighty rivers in Asia: Ngari, Tibet
Fei He, Shehong Li, Lian Song, et al.
Process Safety and Environmental Protection (2024)
Closed Access
Occurrence, spatial distribution, and sources of rare earth elements in soils of large urban agglomerations in Northern China
Shun Li, Siyu Wang, Xiaoxiao Han, et al.
Process Safety and Environmental Protection (2024)
Closed Access
Analysis of Prediction Accuracy and Model Optimization in Soil Geochemical Mapping of Arsenic Using Geostatistics and Machine Learning Methods
yuan Xing Li, Songjian Li, Jingru Zhang
(2023)
Closed Access
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