40 citations as recorded by crossref.

1. Ensemble Machine Learning Approach Improves Predicted Spatial Variation of Surface Soil Organic Carbon Stocks in Data-Limited Northern Circumpolar Region U. Mishra et al. https://doi.org/10.3389/fdata.2020.528441
2. Investigating the sensitivity of soil heterotrophic respiration to recent snow cover changes in Alaska using a satellite-based permafrost carbon model Y. Yi et al. https://doi.org/10.5194/bg-17-5861-2020
3. Digital mapping of soil organic carbon in the hilly and mountainous landscape of Indian Himalayan region employing machine-learning techniques J. Kalambukattu et al. https://doi.org/10.1007/s44378-025-00060-5
4. Comparison With Global Soil Radiocarbon Observations Indicates Needed Carbon Cycle Improvements in the E3SM Land Model J. Chen et al. https://doi.org/10.1029/2018JG004795
5. Utilisation of Intrinsic and Extrinsic Soil Information to Derive Soil Nutrient Management Zones for Banana Production in a Smallholder Farm S. Swafo & P. Dlamini https://doi.org/10.3390/land12091651
6. Digital soil mapping of soil organic carbon stocks in Western Ghats, South India S. Dharumarajan et al. https://doi.org/10.1016/j.geodrs.2021.e00387
7. Valid inferences about soil carbon in heterogeneous landscapes P. Stanley et al. https://doi.org/10.1016/j.geoderma.2022.116323
8. Variability of the Content and Stock of Soil Organic Matter in Time and Space: An Analytical Review N. Khitrov et al. https://doi.org/10.1134/S106422932360207X
9. Carbon and Water Balances in a Watermelon Crop Mulched with Biodegradable Films in Mediterranean Conditions at Extended Growth Season Scale R. Ferrara et al. https://doi.org/10.3390/atmos15080945
10. National soil organic carbon estimates can improve global estimates U. Vitharana et al. https://doi.org/10.1016/j.geoderma.2018.09.005
11. Spatial Distribution Patterns, Influencing Factors, and Scale Effects of Soil Organic Matter in Cultivated Land of Jilin Province, China D. Kong et al. https://doi.org/10.1007/s11769-026-1623-9
12. Environmental factors and spatial dependence explain half of the inherent variation in carbon pools of tropical paddy soils T. Paranavithana et al. https://doi.org/10.1016/j.catena.2023.107278
13. An ensemble estimate of Australian soil organic carbon using machine learning and process-based modelling L. Wang et al. https://doi.org/10.5194/soil-10-619-2024
14. Exploring the optimal sampling density to characterize spatial heterogeneity of soil carbon stocks in a Karst Region z. Zhang et al. https://doi.org/10.1002/agj2.20467
15. Estimation of Permafrost SOC Stock and Turnover Time Using a Land Surface Model With Vertical Heterogeneity of Permafrost Soils S. Shu et al. https://doi.org/10.1029/2020GB006585
16. Factors controlling the spatial heterogeneity of soil organic carbon concentrations and stocks in a boreal forest U. Vitharana et al. https://doi.org/10.1016/j.geodrs.2023.e00749
17. Identification of potential land use for carbon stock enhancement in SOC-deficient Alfisols of the sub-humid sub-tropics P. Roy & S. Sreekesh https://doi.org/10.1007/s12517-024-12000-8
18. Identifying the scale-controlling factors of soil organic carbon in the cropland of Jilin Province, China Y. Zhang et al. https://doi.org/10.1016/j.ecolind.2022.108921
19. Spatial distribution of soil carbon stocks in a semi-arid region of India T. Mitran et al. https://doi.org/10.1016/j.geodrs.2018.e00192
20. Pedotransfer Functions in Earth System Science: Challenges and Perspectives K. Van Looy et al. https://doi.org/10.1002/2017RG000581
21. Potential Satellite Monitoring of Surface Organic Soil Properties in Arctic Tundra From SMAP Y. Yi et al. https://doi.org/10.1029/2021WR030957
22. Small-scale spatial patterns of soil organic carbon and nitrogen stocks in permafrost-affected soils of northern Siberia A. Evgrafova et al. https://doi.org/10.1016/j.geoderma.2018.05.014
23. High-resolution induced polarization imaging of biogeochemical carbon turnover hotspots in a peatland T. Katona et al. https://doi.org/10.5194/bg-18-4039-2021
24. Changeability of Content and Storage of Soil Organic Matter: an Analytical Review N. Khitrov et al. https://doi.org/10.31857/S0032180X23600841
25. Importance and strength of environmental controllers of soil organic carbon changes with scale K. Adhikari et al. https://doi.org/10.1016/j.geoderma.2020.114472
26. Soil organic carbon stocks and quality in small-scale tropical, sub-humid and semi-arid watersheds under shrubland and dry deciduous forest in southwestern India S. Bellè et al. https://doi.org/10.1016/j.geoderma.2021.115606
27. Permafrost Causes Unique Fine‐Scale Spatial Variability Across Tundra Soils M. Siewert et al. https://doi.org/10.1029/2020GB006659
28. Networking our science to characterize the state, vulnerabilities, and management opportunities of soil organic matter J. Harden et al. https://doi.org/10.1111/gcb.13896
29. Regional-scale predictive mapping of soil organic carbon in South Gujarat, India using machine learning algorithms A. Jangir et al. https://doi.org/10.1007/s10661-026-15158-8
30. The role of reforestation in carbon sequestration L. Nave et al. https://doi.org/10.1007/s11056-018-9655-3
31. Spatial representation of organic carbon and active-layer thickness of high latitude soils in CMIP5 earth system models U. Mishra et al. https://doi.org/10.1016/j.geoderma.2016.04.017
32. Drought amplifies warming-induced soil carbon loss in a decade-long experiment X. Guo et al. https://doi.org/10.1038/s41558-026-02584-2
33. Characterizing permafrost active layer dynamics and sensitivity to landscape spatial heterogeneity in Alaska Y. Yi et al. https://doi.org/10.5194/tc-12-145-2018
34. Spatial variability of soil organic carbon stock in an olive orchard at catchment scale in Southern Spain J. Gómez et al. https://doi.org/10.1016/j.iswcr.2022.12.002
35. Soil organic carbon projections and climate adaptation strategies across Pacific Rim agro-ecosystems C. Syu et al. https://doi.org/10.5194/soil-11-1109-2025
36. Large, climate-sensitive soil carbon stocks mapped with pedology-informed machine learning in the North Pacific coastal temperate rainforest G. McNicol et al. https://doi.org/10.1088/1748-9326/aaed52
37. Reforestation can sequester two petagrams of carbon in US topsoils in a century L. Nave et al. https://doi.org/10.1073/pnas.1719685115
38. Exploring the spatial variability of soil properties in an Alfisol soil catena F. Rosemary et al. https://doi.org/10.1016/j.catena.2016.10.017
39. Observational needs for estimating Alaskan soil carbon stocks under current and future climate U. Vitharana et al. https://doi.org/10.1002/2016JG003421
40. Modelling the spatiotemporal dynamics of cropland soil organic carbon by integrating process-based models differing in structures with machine learning X. Zhang et al. https://doi.org/10.1007/s11368-023-03516-9