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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:

Incorporating agricultural practices in digital mapping improves prediction of cropland soil organic carbon content: The case of the Tuojiang River Basin
Qi Wang, Julia Le Noë, Qiquan Li, et al.
Journal of Environmental Management (2023) Vol. 330, pp. 117203-117203
Closed Access | Times Cited: 20

Showing 20 citing articles:

Artificial Intelligence in Agricultural Mapping: A Review
Ramón Espinel, Gricelda Herrera-Franco, José Luis Rivadeneira García, et al.
Agriculture (2024) Vol. 14, Iss. 7, pp. 1071-1071
Open Access | Times Cited: 12
Using process-oriented model output to enhance machine learning-based soil organic carbon prediction in space and time
Lei Zhang, G.B.M. Heuvelink, Vera Leatitia Mulder, et al.
The Science of The Total Environment (2024) Vol. 922, pp. 170778-170778
Closed Access | Times Cited: 11
Spatial and temporal evolution of soil organic matter and its response to dynamic factors in the Southern part of Black Soil Region of Northeast China
Xingnan Liu, Mingchang Wang, Ziwei Liu, et al.
Soil and Tillage Research (2025) Vol. 248, pp. 106475-106475
Closed Access | Times Cited: 1
A Bibliometric Analysis and a Citation Mapping Process for the Role of Soil Recycled Organic Matter and Microbe Interaction due to Climate Change Using Scopus Database
Ioannis Vagelas, Stefanos Leontopoulos
AgriEngineering (2023) Vol. 5, Iss. 1, pp. 581-610
Open Access | Times Cited: 16
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: 4
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
Mapping surface soil organic carbon in the coal–grain composite area: threshold and interaction effects of coal mining activities
Zening Wu, Xiangyang Feng, Yiyun Chen, et al.
Environmental Sciences Europe (2025) Vol. 37, Iss. 1
Open Access
Prediction of soil organic carbon stock combining Sentinel-1 and Sentinel-2 images in the Zoige Plateau, the northeastern Qinghai-Tibet Plateau
Junjie Lei, Changli Zeng, Lv Zhang, et al.
Ecological Processes (2024) Vol. 13, Iss. 1
Open 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
Integrating Landscape Pattern Metrics to Map Spatial Distribution of Farmland Soil Organic Carbon on Lower Liaohe Plain of Northeast China
Xiaochen Liu, Zhenxing Bian, Zhentao Sun, et al.
Land (2023) Vol. 12, Iss. 7, pp. 1344-1344
Open Access | Times Cited: 7
Improved soil organic matter monitoring by using cumulative crop residue indices derived from time-series remote sensing images in the central black soil region of China
Meiwei Zhang, Xiaolin Sun, Meinan Zhang, et al.
Soil and Tillage Research (2024) Vol. 246, pp. 106357-106357
Closed Access | Times Cited: 2
Multi-decadal and regional validation of the AMG model at county and grid scales unravels the role of crop residue inputs in increasing soil organic carbon stocks in the Tuojiang River Basin, China
Qi Wang, Pierre Barré, Qiquan Li, et al.
Agriculture Ecosystems & Environment (2024) Vol. 371, pp. 109092-109092
Closed Access | Times Cited: 1
Mapping Soil Properties in the Haihun River Sub-Watershed, Yangtze River Basin, China, by Integrating Machine Learning and Variable Selection
Jun Huang, Jia Liu, Yingcong Ye, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3784-3784
Open Access | Times Cited: 1
Multi-Scenario Simulation of Land-Use/Land-Cover Changes and Carbon Storage Prediction Coupled with the SD-PLUS-InVEST Model: A Case Study of the Tuojiang River Basin, China
Qi Wang, Wenying Zhang, Xia Jian-guo, et al.
Land (2024) Vol. 13, Iss. 9, pp. 1518-1518
Open Access | Times Cited: 1
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
Analyzing carbon source-sink nexus for green and sustainable transition at the local scale
Ru Guo, Guanghui Shao, Wenhao Wu, et al.
Water-Energy Nexus (2023) Vol. 6, pp. 6-12
Open Access | Times Cited: 3
Prediction of Spatial Distribution of Soil Organic Carbon in Helan Farmland Based on Different Prediction Models
Yuhan Zhang, Youqi Wang, Yi‐Ru Bai, et al.
Land (2023) Vol. 12, Iss. 11, pp. 1984-1984
Open Access | Times Cited: 3
Soil organic carbon sequestration can be promoted through the improvement of landscape configuration heterogeneity in typical agricultural regions of northeast China
Xiaochen Liu, Falong Lin, Zhenxing Bian, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122623-122623
Closed Access
Carbon Farming: How to Support Farmers in Choosing the Best Management Strategies for Low-Impact Food Production
Lea Piscitelli, Annalisa De Boni, Rocco Roma, et al.
Land (2023) Vol. 13, Iss. 1, pp. 5-5
Open Access | Times Cited: 1
Estimation of Farmland Soil Organic Carbon Stocks by Using Single-Year and Multi-Year Landsat Imagery: A Comparison Across Different Time Periods and Indicator Combinations
Xinyao Hao, Jizhen Zhang, Yansong Wang, et al.
(2023)
Closed Access
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