LabCompass

Xing Wei

Agricultural and Biological Sciences · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 2000Rising activity
Smart Agriculture and AISpectroscopy and Chemometric AnalysesRemote Sensing in AgricultureLeaf Properties and Growth MeasurementAdversarial Robustness in Machine Learning

Publications

77

Citations

475

Est. group size

~7

Recurring co-author estimate

Active years

26

Publishing since 2000

Research summary
AI-generated

This research profile spans applying machine learning and computer vision to agricultural problems, such as detecting plant diseases and pests in crops like apples, wheat, and peanuts using image and hyperspectral sensor data. The work also touches on related engineering topics like radiation field modeling and agricultural equipment simulation, suggesting a broad, applied computational research portfolio rather than a single narrow specialty. The bibliographic record indicates involvement in interdisciplinary projects combining plant science, sensing technology, and deep learning methods.

Plant disease detection using deep learningHyperspectral and sensor-based crop analysisComputer vision for agriculture (image classification, object detection)Radiation field modeling and environmental monitoringApplied machine learning methods (neural networks, autoencoders)

Publication output has grown over the last decade, with a notable increase in 2023 and 2024 following a more modest and variable pace in earlier years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.8/year recently
172018: 4 publications182019: 3 publications192020: 2 publications202021: 5 publications212022: 3 publications222023: 14 publications14232024: 9 publications242025: 3 publications2526
Recent publications
Publishes in
  • Computers and Electronics in Agriculture×6
  • arXiv (Cornell University)×4
  • Remote Sensing×3
  • Sensors×3
  • Applied Intelligence×2
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By research-topic overlap
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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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