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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:

Estimation of Heavy Metals in Tailings and Soils Using Hyperspectral Technology: A Case Study in a Tin-Polymetallic Mining Area
Zijin Bian, Lina Sun, Kang Tian, et al.
Bulletin of Environmental Contamination and Toxicology (2021) Vol. 107, Iss. 6, pp. 1022-1031
Closed Access | Times Cited: 21

Showing 21 citing articles:

Estimating the Heavy Metal Contents in Entisols from a Mining Area Based on Improved Spectral Indices and Catboost
Pingjie Fu, Jiawei Zhang, Zhaoxian Yuan, et al.
Sensors (2024) Vol. 24, Iss. 5, pp. 1492-1492
Open Access | Times Cited: 9
Comparative analysis of different machine learning algorithms for predicting trace metal concentrations in soils under intensive paddy cultivation
Mehmet Taşan, Yusuf Demir, Sevda Taşan, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108772-108772
Closed Access | Times Cited: 7
Estimation of Heavy Metal Content in Soil Based on Machine Learning Models
Shuaiwei Shi, Meiyi Hou, Zifan Gu, et al.
Land (2022) Vol. 11, Iss. 7, pp. 1037-1037
Open Access | Times Cited: 26
Exploring the potential of multispectral satellite images for estimating the contents of cadmium and lead in cropland: The effect of the dimidiate pixel model and random forest
Li Wang, Zhou Yong, Jingyi Liu, et al.
Journal of Cleaner Production (2022) Vol. 367, pp. 132922-132922
Closed Access | Times Cited: 23
Monitoring Heavy Metals and Metalloids in Soils and Vegetation by Remote Sensing: A Review
Viktoriia Lovynska, Bagher Bayat, Roland Bol, et al.
Remote Sensing (2024) Vol. 16, Iss. 17, pp. 3221-3221
Open Access | Times Cited: 4
Integrating Landsat-8 Imagery and Spectroscopic Data for Accurate Soil Lead Content Estimation Using the LeadNet Model Based on Transfer Learning
Rohollah Goodarzi, Mahmod Reza Sahebi
Remote Sensing Applications Society and Environment (2025), pp. 101546-101546
Closed Access
Estimation of multi-media metal(loid)s around abandoned mineral processing plants using hyperspectral technology and extreme learning machine
Zijin Bian, Lina Sun, Kang Tian, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 7, pp. 19495-19512
Closed Access | Times Cited: 11
The role of topography feedbacks in enrichment of heavy metal elements in terrace type region
Yuanyuan Tang, Donghui Zhang, Honggen Xu, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 2
Exploring relationship of soil PTE geochemical and “VIS-NIR spectroscopy” patterns near Cu–Mo mine (Armenia)
Garegin Tepanosyan, Vahagn Muradyan, Gevorg Tepanosyan, et al.
Environmental Pollution (2023) Vol. 323, pp. 121180-121180
Closed Access | Times Cited: 5
Hyperspectral Inversion of Soil Cu Content in Agricultural Land Based on Continuous Wavelet Transform and Stacking Ensemble Learning
Kai Yang, Fan Wu, Hongxu Guo, et al.
(2024)
Closed Access | Times Cited: 1
Satellite‐air‐ground integrated multi‐source earth observation and machine learning processing brain for tailings reservoir monitoring and rapid emergency response
Yuting Wan, Yanfei Zhong, Ailong Ma, et al.
Land Degradation and Development (2022) Vol. 34, Iss. 7, pp. 1941-1959
Closed Access | Times Cited: 6
Conceptual methodological framework for the resilience of biogeochemical services to heavy metals stress
Virgil Iordache, Aurora Neagoe
Journal of Environmental Management (2022) Vol. 325, pp. 116401-116401
Closed Access | Times Cited: 4
Study of Microbial Communities in Degrading Toxic Pollutants in the Wastewater and Solid Waste Treatment Industries
Mario Alberto Arzate-Cárdenas, Ana Laura Carbajal-Hernández, Juan Ramos-Garza, et al.
Environmental science and engineering (2024), pp. 71-94
Closed Access
Estimation and inversion of soil heavy metal arsenic (As) based on UAV hyperspectral platform
Yue Feng, Jing Wang, Yu Tang
Microchemical Journal (2024), pp. 112027-112027
Closed Access
Hyperspectral Inversion of Soil Cu Content in Agricultural Land Based on Continuous Wavelet Transform and Stacking Ensemble Learning
Kai Yang, Fan Wu, Hongxu Guo, et al.
Land (2024) Vol. 13, Iss. 11, pp. 1810-1810
Open Access
Remote Sensing Tailing Pond Image–Detection Method Based on YOLOv8-RVSW
Zhengjun Dang, Kun Li
Photogrammetric Engineering & Remote Sensing (2024) Vol. 90, Iss. 12, pp. 735-744
Closed Access
Spectral unmixing of heavy metal content in agricultural soil using hyperspectral remote sensing data
Sangeetha Annam, Anshu Singla
2021 Sixth International Conference on Image Information Processing (ICIIP) (2021) Vol. 6966, pp. 433-438
Closed Access | Times Cited: 1
Estimating the Heavy Metal Contents in Entisols from a Mining Area Based on Improved Spectral Indices and Catboost
Pingjie Fu, Jiawei Zhang, Zhaoxian Yuan, et al.
(2023)
Closed Access
Hyperspectral Inversion and Analysis of Zinc Concentration in Urban Soil in the Urumqi City of China
Qing Zhong, Mamattursun Eziz, Mireguli Ainiwaer, et al.
Journal of Environmental & Earth Sciences (2023) Vol. 5, Iss. 2, pp. 76-87
Open Access
Inversion of soil properties with hyperspectral reflectance in construction areas of high-standard farmland
qiuxia zhang, Wenkai Liu, Hebing Zhang, et al.
Revista Brasileira de Ciência do Solo (2023) Vol. 47
Open Access
Inversion of Soil Properties with Hyperspectral Reflectance in Well-facilitied Capital Farmland Construction Areas
qiuxia zhang, Wenkai Liu, Hebing Zhang, et al.
Authorea (Authorea) (2022)
Open Access
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