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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:

Development of a soil heavy metal estimation method based on a spectral index: Combining fractional-order derivative pretreatment and the absorption mechanism
Lihan Chen, Jian Lai, Kun Tan, et al.
The Science of The Total Environment (2021) Vol. 813, pp. 151882-151882
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

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: 49
Estimating the heavy metal contents in farmland soil from hyperspectral images based on Stacked AdaBoost ensemble learning
Nan Lin, Ranzhe Jiang, Genjun Li, et al.
Ecological Indicators (2022) Vol. 143, pp. 109330-109330
Open Access | Times Cited: 50
Human health-risk assessment of heavy metal–contaminated soil based on Monte Carlo simulation
Ye Panqing, Abdugheni Abliz, Xiaoli Sun, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 38
Comparison of leaf chlorophyll content retrieval performance of citrus using FOD and CWT methods with field-based full-spectrum hyperspectral reflectance data
Bin Xiao, Sunzhe Li, Shiqing Dou, et al.
Computers and Electronics in Agriculture (2023) Vol. 217, pp. 108559-108559
Closed Access | Times Cited: 26
Fast detection of volatile fatty acids in biogas slurry using NIR spectroscopy combined with feature wavelength selection
Yonghua Xu, Jinming Liu, Yong Sun, et al.
The Science of The Total Environment (2022) Vol. 857, pp. 159282-159282
Closed Access | Times Cited: 37
Estimation of soil organic matter content based on spectral indices constructed by improved Hapke model
Jing Yuan, Jichao Gao, Bo Yu, et al.
Geoderma (2024) Vol. 443, pp. 116823-116823
Open Access | Times Cited: 7
A rapid soil Chromium pollution detection method based on hyperspectral remote sensing data
Li-Han Chen, Kun Tan, Xue Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103759-103759
Open Access | Times Cited: 7
Ab initio calculation of the adsorption of As, Cd, Cr, and Hg heavy metal atoms onto the illite(001) surface: Implications for soil pollution and reclamation
Chongchong Qi, Xinhang Xu, Qiusong Chen, et al.
Environmental Pollution (2022) Vol. 312, pp. 120072-120072
Closed Access | Times Cited: 24
Estimation of the distribution patterns of heavy metal in soil from airborne hyperspectral imagery based on spectral absorption characteristics
Kun Tan, Li-Han Chen, Huimin Wang, et al.
Journal of Environmental Management (2023) Vol. 347, pp. 119196-119196
Closed Access | Times Cited: 14
Synergistic retrieval of mangrove vital functional traits using field hyperspectral and satellite data
Bolin Fu, Yan Wu, Shurong Zhang, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 131, pp. 103963-103963
Open Access | Times Cited: 5
A Model Combining Sensitive Vegetation Indices and Fractional-Order Differential Characteristic Bands for SPAD Value Estimation in Cd-Contaminated Rice Leaves
Rongcai Tian, Bin Zou, Shenxin Li, et al.
Agriculture (2025) Vol. 15, Iss. 3, pp. 311-311
Open Access
A Fusion XGBoost Approach for Large-Scale Monitoring of Soil Heavy Metal in Farmland Using Hyperspectral Imagery
Xuqing Li, Huitao Gu, Ruiyin Tang, et al.
Agronomy (2025) Vol. 15, Iss. 3, pp. 676-676
Open Access
Improving UAV hyperspectral monitoring accuracy of summer maize soil moisture content with an ensemble learning model fusing crop physiological spectral responses
Hao Liu, Junying Chen, Youzhen Xiang, et al.
European Journal of Agronomy (2024) Vol. 160, pp. 127299-127299
Closed Access | Times Cited: 4
Revealing the Synergistic Spatial Effects in Soil Heavy Metal Pollution with Explainable Machine Learning Models
Yibo Yan, Yong Yang
Journal of Hazardous Materials (2024) Vol. 482, pp. 136578-136578
Closed Access | Times Cited: 4
Whale optimization algorithm coupled with machine learning models for quantitative prediction of soil Ni content
Chengbiao Fu, Xiqin Feng, Anhong Tian
Microchemical Journal (2025) Vol. 209, pp. 112709-112709
Closed Access
Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation
Xianzhi Deng, Xiaolong Hu, Liangsheng Shi, et al.
Frontiers in Plant Science (2025) Vol. 15
Open Access
Improving Soil Heavy Metal Lead Inversion Through Combined Band Selection Methods: A Case Study in Gejiu City, China
Ping He, Xianfeng Cheng, Xingping Wen, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 684-684
Open Access
A hybrid framework for estimating photovoltaic dust content based on UAV hyperspectral images
Peng Zhu, Hao Li, Pan Zheng
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104500-104500
Closed Access
Estimating and mapping tailings properties of the largest iron cluster in China for resource potential and reuse: A new perspective from interpretable CNN model and proposed spectral index based on hyperspectral satellite imagery
Haimei Lei, Nisha Bao, Mei Yu, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104512-104512
Closed Access
Combining Fractional Derivatives and Machine Learning: A Review
Sebastian Raubitzek, Kevin Mallinger, Thomas Neubauer
Entropy (2022) Vol. 25, Iss. 1, pp. 35-35
Open Access | Times Cited: 18
Quantitative prediction of soil chromium content using laboratory-based visible and near-infrared spectroscopy with different ensemble learning models
Chengbiao Fu, Yuheng Jiang, Anhong Tian
Advances in Space Research (2024) Vol. 74, Iss. 10, pp. 4705-4720
Closed Access | Times Cited: 3
Inversion study of cadmium content in soil based on reflection spectroscopy and MSC-ELM model
Dong Xiao, Jie Huang, Jian Li, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 283, pp. 121696-121696
Closed Access | Times Cited: 15
A new method to estimate soil organic matter using the combination model based on short memory fractional order derivative and machine learning model
Chengbiao Fu, Shu Gan, Heigang Xiong, et al.
Infrared Physics & Technology (2023) Vol. 134, pp. 104922-104922
Closed Access | Times Cited: 7
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: 7
Estimation of the Relative Chlorophyll Content of Carya illinoensis Leaves Using Fractional Order Derivative of Leaf and Canopy Scale Hyperspectral Data
Jiajia Xu, G. Fu, Lipeng Yan, et al.
Journal of soil science and plant nutrition (2024) Vol. 24, Iss. 1, pp. 1407-1423
Open Access | Times Cited: 2
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