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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:

Digital mapping of soil organic carbon density in China using an ensemble model
Yi Sun, Jin Ma, Wenhao Zhao, et al.
Environmental Research (2023) Vol. 231, pp. 116131-116131
Closed Access | Times Cited: 16

Showing 16 citing articles:

Multiple Environmental Variables as Covariates to Improve the Accuracy of Spatial Prediction Models for SOM on Karst Aera
Yun Jiang, Fupeng Li, Yufeng Gong, et al.
Land Degradation and Development (2025)
Closed Access
A China dataset of soil properties for land surface modelling (version 2, CSDLv2)
Gaosong Shi, Wenye Sun, Wei Shangguan, et al.
Earth system science data (2025) Vol. 17, Iss. 2, pp. 517-543
Open Access
Digital mapping of soil organic carbon in a plain area based on time-series features
Kun Yan, Decai Wang, Yongkang Feng, et al.
Ecological Indicators (2025) Vol. 171, pp. 113215-113215
Open Access
High-Accuracy Mapping of Soil Organic Carbon by Mining Sentinel-1/2 Radar and Optical Time-Series Data with Super Ensemble Model
Zhibo Cui, Songchao Chen, Bifeng Hu, et al.
Remote Sensing (2025) Vol. 17, Iss. 4, pp. 678-678
Open Access
Enhancing soil organic carbon prediction by unraveling the role of crop residue coverage using interpretable machine learning
Yi Dong, Xinting Wang, Sheng Wang, et al.
Geoderma (2025) Vol. 455, pp. 117225-117225
Open Access
Improving soil organic carbon mapping in farmlands using machine learning models and complex cropping system information
Jianxiong Ou, Zihao Wu, Qingwu Yan, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 4
How Land Use Transitions Contribute to the Soil Organic Carbon Accumulation from 1990 to 2020
Zihui Zhang, Lang Xia, Zifei Zhao, et al.
(2024)
Open Access | Times Cited: 3
Assessing the potential of multi-source remote sensing data for cropland soil organic matter mapping in hilly and mountainous areas
Peng Li, Xiaobo Wu, C Feng, et al.
CATENA (2024) Vol. 245, pp. 108312-108312
Closed Access | Times Cited: 3
Prediction of soil organic matter using Landsat 8 data and machine learning algorithms in typical karst cropland in China
Naijie Chang, Di Chen
European Journal of Agronomy (2024) Vol. 160, pp. 127323-127323
Closed Access | Times Cited: 3
How Land Use Transitions Contribute to the Soil Organic Carbon Accumulation from 1990 to 2020
Zihui Zhang, Lang Xia, Zifei Zhao, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1308-1308
Open Access | Times Cited: 1
Spatial Prediction of Organic Matter Quality in German Agricultural Topsoils
Ali Sakhaee, Thomas Scholten, Ruhollah Taghizadeh‐Mehrjardi, et al.
Agriculture (2024) Vol. 14, Iss. 8, pp. 1298-1298
Open Access | Times Cited: 1
Estimating soil organic carbon and total nitrogen across inhabited and uninhabited islands based on dual simulations in the entire- and sub-areas
Yuan Chi, Jingkuan Sun, Tian Li, et al.
Palaeogeography Palaeoclimatology Palaeoecology (2024) Vol. 644, pp. 112201-112201
Closed Access
Multiple-model based prediction of weekly discharge of the Brahmaputra-Jamuna by assimilating antecedent hydrological regime
Md Abdur Rahim, Shuang Liu, Kaiheng Hu, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access
Assessing the impact of multi-source environmental variables on soil organic carbon in different land use types of China using an interpretable high-precision machine learning method
Feng Wang, Robert Y. Liang, Shuyue Li, et al.
Ecological Indicators (2024) Vol. 169, pp. 112865-112865
Open Access
Analysis of Annual Spatiotemporal Variations in Carbon Stock in the Urban Agglomeration of the Middle Yangtze River Basin, China
Zhenbo Du, Cong Ou, Yue An, et al.
Land (2024) Vol. 13, Iss. 12, pp. 2089-2089
Open Access
Prediction and Mapping of Soil Organic Carbon in the Bosten Lake Oasis Based on Sentinel-2 Data and Environmental Variables
S.Y Li, Xinguo Li, Xiangyu Ge
International Soil and Water Conservation Research (2024)
Open Access
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