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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:

Data mining of urban soil spectral library for estimating organic carbon
Yongsheng Hong, Yiyun Chen, Songchao Chen, et al.
Geoderma (2022) Vol. 426, pp. 116102-116102
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A comparison of multiple deep learning methods for predicting soil organic carbon in Southern Xinjiang, China
Yu Wang, Songchao Chen, Yongsheng Hong, et al.
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108067-108067
Closed Access | Times Cited: 24
Towards Optimal Variable Selection Methods for Soil Property Prediction Using a Regional Soil Vis-NIR Spectral Library
Xianglin Zhang, Jie Xue, Yi Xiao, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 465-465
Open Access | Times Cited: 23
On China’s earth observation system: mission, vision and application
Deren Li, Mi Wang, Haonan Guo, et al.
Geo-spatial Information Science (2024), pp. 1-19
Open Access | Times Cited: 12
Combination of feature selection and geographical stratification increases the soil total nitrogen estimation accuracy based on vis-NIR and pXRF spectral fusion
Jianghui Song, Xiaoyan Shi, Haijiang Wang, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108636-108636
Closed Access | Times Cited: 9
Machine Learning and Feature Selection for soil spectroscopy. An evaluation of Random Forest wrappers to predict soil organic matter, clay, and carbonates
Francisco M. Canero, Víctor Rodríguez‐Galiano, David Aragonés
Heliyon (2024) Vol. 10, Iss. 9, pp. e30228-e30228
Open Access | Times Cited: 8
Deep learning of the particulate and mineral-associated organic carbon fractions using a compositional transform and mid-infrared spectroscopy
Mingxi Zhang, Zefang Shen, Lewis Walden, et al.
Geoderma (2025) Vol. 455, pp. 117207-117207
Open Access | Times Cited: 1
Prediction accuracy of pXRF, MIR, and Vis‐NIR spectra for soil properties—A review
Gafur GÖZÜKARA, Alfred E. Hartemink, Jingyi Huang, et al.
Soil Science Society of America Journal (2025) Vol. 89, Iss. 2
Open Access | Times Cited: 1
Non-linear memory-based learning for predicting soil properties using a regional vis-NIR spectral library
Zheng Wang, Songchao Chen, Rui Lu, et al.
Geoderma (2023) Vol. 441, pp. 116752-116752
Open Access | Times Cited: 19
Improved estimation of soil organic carbon stock in subtropical cropland of Southern China based on digital soil mapping and multi-sources data
Bifeng Hu, Qian Zhu, Modian Xie, et al.
Geo-spatial Information Science (2025), pp. 1-24
Open Access
Ensemble and transfer learning of soil inorganic carbon with visible near-infrared spectra
Yu Wang, Keyang Yin, Bifeng Hu, et al.
Geoderma (2025) Vol. 456, pp. 117257-117257
Open Access
A novel framework for improving soil organic matter prediction accuracy in cropland by integrating soil, vegetation and human activity information
Jiawen Wang, Chunhui Feng, Bifeng Hu, et al.
The Science of The Total Environment (2023) Vol. 903, pp. 166112-166112
Closed Access | Times Cited: 12
Review: The evolution of chemometrics coupled with near infrared spectroscopy for fruit quality evaluation. II. The rise of convolutional neural networks
Jeremy Walsh, Arjun Neupane, Anand Koirala, et al.
Journal of Near Infrared Spectroscopy (2023) Vol. 31, Iss. 3, pp. 109-125
Open Access | Times Cited: 11
The validity domain of sensor fusion in sensing soil quality indicators
Jie Xue, Xianglin Zhang, Songchao Chen, et al.
Geoderma (2023) Vol. 438, pp. 116657-116657
Open Access | Times Cited: 11
Minimize of moisture effects from laboratory simulations of in-situ Vis-NIR spectral for the prediction of soil salinity
Yu Wang, Bifeng Hu, Yongsheng Hong, et al.
Infrared Physics & Technology (2024) Vol. 137, pp. 105194-105194
Closed Access | Times Cited: 4
Predicting soil organic carbon content using simulated insitu spectra and moisture correction algorithms in southern Xinjiang, China
Peimin Yang, Yu Wang, Bifeng Hu, et al.
Geoderma Regional (2024) Vol. 37, pp. e00783-e00783
Closed Access | Times Cited: 4
Removing the moisture effect on predicting soil organic matter using vis-NIR spectroscopy with external parameter orthogonalization
Meihua Yang, Songchao Chen, Dongyun Xu, et al.
Geoderma Regional (2024) Vol. 37, pp. e00797-e00797
Closed Access | Times Cited: 4
Potential of globally distributed topsoil mid-infrared spectral library for organic carbon estimation
Yongsheng Hong, Jonathan Sanderman, Tomislav Hengl, et al.
CATENA (2023) Vol. 235, pp. 107628-107628
Closed Access | Times Cited: 9
Desert Soil Salinity Inversion Models Based on Field In Situ Spectroscopy in Southern Xinjiang, China
Yu Wang, Modong Xie, Bifeng Hu, et al.
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 4962-4962
Open Access | Times Cited: 15
Prediction of Soil Properties in a Field in Typical Black Soil Areas Using in situ MIR Spectra and Its Comparison with vis-NIR Spectra
Jianxin Yin, Zhan Shi, Baoguo Li, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2053-2053
Open Access | Times Cited: 7
Micro-Near-Infrared (Micro-NIR) sensor for predicting organic carbon and clay contents in agricultural soil
Jiang Liu, Muhammad Abdul Munnaf, Abdul M. Mouazen
Soil and Tillage Research (2024) Vol. 242, pp. 106155-106155
Closed Access | Times Cited: 2
Improving Soil Quality Index Prediction by Fusion of Vis-NIR and pXRF spectral data
Jianghui Song, Xiaoyan Shi, Haijiang Wang, et al.
Geoderma (2024) Vol. 447, pp. 116938-116938
Open Access | Times Cited: 2
Advancing soil property prediction with encoder-decoder structures integrating traditional deep learning methods in Vis-NIR spectroscopy
Ziyi Ke, Shilin Ren, Liang Yin
Geoderma (2024) Vol. 449, pp. 117006-117006
Open Access | Times Cited: 2
Identification of dispersive soils via computational intelligence
Ali Derakhshani, Behzad Moein, Ghassem Habibagahi
European Journal of Soil Science (2023) Vol. 74, Iss. 2
Closed Access | Times Cited: 6
Fine-resolution baseline maps of soil nutrients in farmland of Jiangxi Province using digital soil mapping and interpretable machine learning
Bifeng Hu, Yibo Geng, Kejian Shi, et al.
CATENA (2024) Vol. 249, pp. 108635-108635
Closed Access | Times Cited: 1
Machine Learning and New-Generation Spaceborne Hyperspectral Data Advance Crop Type Mapping
Itiya Aneece, Prasad S. Thenkabail, Richard L. McCormick, et al.
Photogrammetric Engineering & Remote Sensing (2024) Vol. 90, Iss. 11, pp. 687-698
Closed Access | Times Cited: 1
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