74 citations as recorded by crossref.

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3. A novel application with explainable machine learning (SHAP and LIME) to predict soil N, P, and K nutrient content in cabbage cultivation T. Abekoon et al.
4. Spatiotemporal changes of vegetation in the northern foothills of Qinling Mountains based on kNDVI considering climate time-lag effects and human activities L. Chen et al.
5. Eco-zoning management based on thresholds of NPP driving factors Y. Jiang et al.
6. AI models uncover factors influencing scorpionism in Northern Brazil T. Moura et al.
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8. eXplainable expert systems for potato tuber yield prediction in the Maritime provinces of Canada M. Jamei et al.
9. Explanations of Machine Learning Models in Repeated Nested Cross-Validation: An Application in Age Prediction Using Brain Complexity Features R. Scheda & S. Diciotti
10. An agricultural drought early warning threshold model with considering copula combined with diminishing marginal benefit theory: A case study in the Yellow River basin T. Qian et al.
11. Prediction and optimization of regional land-use patterns considering nonpoint-source pollution control under conditions of uncertainty Q. Rong et al.
12. Soil physicochemical properties explain land use/cover histories in the last sixty years in China H. Chen et al.
13. Vapor pressure deficit and temperature variability drive future changes to carbon sink stability in China’s terrestrial ecosystems Z. Zhou et al.
14. Changes and Driving Factors of Ecological Environment Quality in the Agro-Pastoral Ecotone of Northern China from 2000 to 2020 S. Yang et al.
15. Towards a News Recommendation System to increase Reader Engagement through Newsletter Content Personalization E. Fernandes et al.
16. Insights into the vulnerability of vegetation to tephra fallouts from interpretable machine learning and big Earth observation data S. Biass et al.
17. The application of game theory-based machine learning modelling to assess climate variability effects on the sensitivity of lagoon ecosystem parameters M. Kruk et al.
18. Optimization of Sensor Combinations for Simplified Estimation of Reference Crop Evapotranspiration Using Machine Learning and SHAP Interpretation Q. Zhang et al.
19. Assessing drought risk of grassland ecosystem in Hulunbuir, China J. Han et al.
20. Insights from land sparing and land sharing frameworks for land productivity degradation governance in the Yangtze River Delta urban agglomeration, China J. Qian et al.
21. Research and application of XGBoost in imbalanced data P. Zhang et al.
22. Analysis of Key Influencing Factors of Water Quality in Tai Lake Basin Based on XGBoost-SHAP W. Li et al.
23. Policy mixes for a just, effective, and public budget-conscious household energy transition in Switzerland A. Torné & E. Trutnevyte
24. Surgery duration: Optimized prediction and causality analysis O. Babayoff et al.
25. Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers G. Zhang et al.
26. Interpretable machine learning to forecast hypoxia in a lagoon D. Politikos et al.
27. Peripheral blood mononuclear cell derived biomarker detection using eXplainable Artificial Intelligence (XAI) provides better diagnosis of breast cancer S. Kumar & A. Das
28. Improving Hospital Outpatient Clinics Appointment Schedules by Prediction Models O. Babayoff et al.
29. Modelling of fatty acids signatures predicts macroalgal carbon in marine sediments . Erlania et al.
30. Exploring the Spatiotemporal Alterations in China’s GPP Based on the DTEC Model J. Peng et al.
31. GRADIENT-BOOSTED CAUSAL INFERENCE FRAMEWORK FOR POLICY RECOMMENDATION IN SMART GOVERNANCE SYSTEMS P. Khairnar
32. Global map of a comprehensive drought/flood index and analysis of controlling environmental factors J. Pang & H. Zhang
33. A data‐driven approach to improve online consumer subscriptions by combining data visualization and machine learning methods E. Fernandes et al.
34. Adaptive multi-scale feature refinement for wheat phenology recognition using cross-scale attention mechanisms H. Sun et al.
35. Partial Order Ranking of the Key Drivers of Grassland Conversion in the Urban–Grassland Interface: A Case Study of the Hohhot–Baotou–Ordos Region X. Li et al.
36. Controls of groundwater-dependent vegetation coverage in the yellow river basin, china: Insights from interpretable machine learning T. Bai et al.
37. Local climate zone framework: seasonal dynamics of surface urban heat island and its influencing factors in three Chinese urban agglomerations H. Deng et al.
38. Evaluating the seasonal impact of urbanisation on surface air temperature in Beijing over three decades: 1990s, 2010s, and 2030s L. Vitanova et al.
39. Effects of climate change and human activities on vegetation coverage change in northern China considering extreme climate and time-lag and -accumulation effects M. Ma et al.
40. Using explainable machine learning methods to evaluate vulnerability and restoration potential of ecosystem state transitions J. Delaney & D. Larson
41. Enhanced Solar Power Prediction Models With Integrating Meteorological Data Toward Sustainable Energy Forecasting M. Atiea et al.
42. Explaining the contrast responses of evergreen needle-leaved forest and grassland carbon fluxes during the growing season droughts over the North Temperate Zone X. Li et al.
43. WBGT prediction with high spatial resolution using actual measurement data and data acquired using infrared sensors mounted on UAVs H. Niwa & R. Manabe
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45. MODIS-Based Spatiotemporal Inversion and Driving-Factor Analysis of Cloud-Free Vegetation Cover in Xinjiang from 2000 to 2024 H. Yang et al.
46. Assessing multi-year-drought vulnerability in dense Mediterranean-climate forests using water-balance-based indicators G. Cui et al.
47. Using an Explainable Machine Learning Approach to Characterize Earth System Model Errors: Application of SHAP Analysis to Modeling Lightning Flash Occurrence S. Silva et al.
48. Integrating Remote Sensing, Machine Learning, and Degree-Day Models for Predicting Grasshopper Habitat Suitability in Temperate Grasslands R. Ahmed et al.
49. Filling-well: An effective technique to handle incomplete well-log data for lithology classification using machine learning algorithms S. Garini et al.
50. Integrating land use dynamics and human health risk: A multi-scale assessment of future urban heat exposure using PLUS and explainable AI Y. Zhu et al.
51. Modeling and Evaluation of the Permeate Flux in Forward Osmosis Process with Machine Learning F. Shi et al.
52. Influential factors for the emission inspection results of urban in-use vehicles: From an ensemble learning perspective Q. Zhimei et al.
53. Biological response of Rhopalosiphum padi and Sipha flava (Hemiptera: Aphididae) changes over generations A. Auad et al.
54. Predicting Pediatric Asthma Readmissions Through Machine Learning: Performance With a National Administrative Database J. Gabbay et al.
55. Attribution of vegetation dynamics using an interpretable machine learning model in the Haihe River Basin, China Q. Wang et al.
56. Improving interpretation of sea-level projections through a machine-learning-based local explanation approach J. Rohmer et al.
57. Polarization of dryland vegetation response to spring flood S. Zhang et al.
58. A Physically Driven Interpretable Machine Learning Framework for Early Forecasting of Summer Hypoxia in the Semi-Enclosed Bohai Sea Using Remote Sensing Data Y. Jin et al.
59. The counteracting effects of large-scale vegetation restoration and increased precipitation on drought in the Huang-Huai-Hai-Yangtze River basin M. Ma et al.
60. A machine learning approach to map the potential agroecological complexity in an indigenous community of Colombia C. Ojeda Riaños et al.
61. Modeling the Subpixel Land-Use Dynamics and Its Influence on Urban Heat Islands: Impacts of Factors and Scale, and Population Exposure Risk X. Liang et al.
62. Optimizing Sentinel-2 temporal composites for soil organic carbon mapping and cropland management insights X. Ji et al.
63. Characteristics and Drivers of Vegetation Change in Xinjiang, 2000–2020 G. Li et al.
64. Clustering and Interpretation of time-series trajectories of chronic pain using evidential c-means A. Soubeiga et al.
65. Quantifying soil wind erosion attribution in Inner Mongolia’s desert grassland H. Jiang et al.
66. Trade‐Offs Between Carbon and Water Fluxes Along a Land Use Intensity Gradient in Southeast Asian Forests and Plantations B. Hanggara et al.
67. An artificial intelligence-based assessment of soil erosion probability indices and contributing factors in the Abha-Khamis watershed, Saudi Arabia S. Alqadhi et al.
68. Dynamics and Drivers of Ecosystem Service Values in the Qionglai–Daxiangling Region of China’s Giant Panda National Park (1990–2020) Y. Chen et al.
69. Comparison of vegetation succession patterns in the monsoon and arid regions of northern China over the past two centuries: Implications for ecosystem restoration projects J. Pang et al.
70. Climate change enhances greening while human activities accelerate degradation in northern China's grasslands F. Cao et al.
71. Monitoring of Farmland Abandonment Based on Google Earth Engine and Interpretable Machine Learning Y. Jiang et al.
72. Hybrid Intelligent Model for Estimating the Cost of Huizhou Replica Traditional Vernacular Dwellings J. Huang et al.
73. How does the ambient environment respond to the industrial heat island effects? An innovative and comprehensive methodological paradigm for quantifying the varied cooling effects of different landscapes J. Gao et al.
74. Climate-induced tree-mortality pulses are obscured by broad-scale and long-term greening Y. Yan et al.