Xinle Zhang
Environmental Science · Purdue University West Lafayette
Publications
122
Citations
2,456
Est. group size
~2
Recurring co-author estimate
Active years
20
Publishing since 2007
Xinle Zhang's research focuses on using remote sensing, machine learning, and deep learning to map and monitor agricultural soils and farmland, including soil organic carbon, soil nutrients, erosion, and crop conditions such as lodging and weeds. Much of this work combines satellite, airborne, and hyperspectral imagery with terrain and climate data to build predictive models for soil and cropland properties, primarily in Chinese agricultural regions. Note that some listed publications (on pharmaceutical tablet modeling and eye disease risk prediction) appear unrelated to this environmental/remote sensing focus and may reflect data mixing from a different author with the same name.
Publication output has grown substantially over the last decade, rising from about 5-6 papers per year around 2017-2020 to a peak of 20 in 2024, indicating an increasing publication rate in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Predictive population balance modeling of pharmaceutical tablet disintegration and dissolution behavior
International Journal of Pharmaceutics · 2026
- Machine learning assisted in-line calibration models for near-infrared spectroscopy in dry granulation
International Journal of Pharmaceutics · 2026
- Physics-Informed Neural Networks for NIR Spectroscopy Analysis of Pharmaceutical Tablet Properties
Systems and Control Transactions · 2026
- Understanding the Impact of Ribbon Splitting on Tablet Properties Using a Hybrid Mechanistic–Machine Learning Framework
Systems and Control Transactions · 2026
- Identifying Optimal Variables to Predict Soil Organic Carbon in Sandy, Saline, and Black Soil Regions: Remote Sensing, Terrain, or Climate Factors?
Remote Sensing · 2025
- An innoval hyperspectral prediction model for soil organic matter in croplands of the Northeast China Mollisols Region
Soil and Tillage Research · 2025
- Extraction of Levees from Paddy Fields Based on the SE-CBAM UNet Model and Remote Sensing Images
Remote Sensing · 2025
- Mapping Soil Available Nitrogen Using Crop-Specific Growth Information and Remote Sensing
Agriculture · 2025
- Clay-Hosted Lithium Exploration in the Wenshan Region of Southeastern Yunnan Province, China, Using Multi-Source Remote Sensing and Structural Interpretation
Minerals · 2025
- Development of a Drought Assessment Index Coupling Physically Based Constraints and Data-Driven Approaches
Remote Sensing · 2025
- Study on the Extraction of Topsoil-Loss Areas of Cultivated Land Based on Multi-Source Remote Sensing Data
Remote Sensing · 2025
- A Multi-Scale Rice Lodging Monitoring Method Based on MSR-Lodfnet
Agriculture · 2025
- Geochemical inversion study of potassium and phosphorus in soil based on neural network and ZY1-02D hyperspectral data
Scientific Reports · 2025
- A two-stage algorithm for regional-scale SOC prediction: Eliminating the spatial scale effect between multi-source remote sensing data
Soil and Tillage Research · 2025
- Ocular Hypertension or Glaucoma Risk Factor Prediction Models for Patients with Fuchs Uveitis Syndrome
Ocular Immunology and Inflammation · 2025
- Remote Sensing×15
- CATENA×8
- Soil and Tillage Research×8
- Geoderma×5
- Remote Sensing of Environment×3
- K. E. Foster
Environmental Science · The Ohio State University
- Yang Li
Environmental Science · The Ohio State University
- Yaqian He
Environmental Science · Indiana University
- Jianmin Wang
Environmental Science · Purdue University West Lafayette
- Kushal KC
Environmental Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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