Zhihang Song
Engineering · Purdue University West Lafayette
Publications
50
Citations
803
Est. group size
~2
Recurring co-author estimate
Active years
15
Publishing since 2011
Zhihang Song's work spans two main areas: using imaging and machine learning to detect plant stress and disease (e.g., hyperspectral imaging for nutrient deficiency and plant disease detection, drone-based field phenotyping), and developing methods for autonomous driving systems, especially synthetic training data, object detection, and sensor fusion. A few additional publications touch on unrelated topics like dental orthodontics and data center cooling. This suggests a research profile bridging agricultural sensing/AI and autonomous vehicle perception systems.
Publication output has fluctuated over the past decade but shows a recent increase, with a notable peak of 7 publications in 2025 following moderate activity in prior years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Hyperspectral image-based leaf-level spatial and spectral feature mining for phosphorus deficiency symptom differentiation in corn plants at early vegetative stage
Computers and Electronics in Agriculture · 2025
- PhenoBee: Drone-based robot for advanced field in vivo contact-based phenotyping in agriculture
Computers and Electronics in Agriculture · 2025
- Synthetic Dataset Evaluation Based on Generalized Cross Validation
arXiv (Cornell University) · 2025
- A Style-Based Profiling Framework for Quantifying the Synthetic-to-Real Gap in Autonomous Driving Datasets
arXiv (Cornell University) · 2025
- Synthetic Dataset Evaluation Based on Generalized Cross Validation
2025
- A Re-Calibration Method for Object Detection with Multimodal Alignment Bias in Autonomous Driving
2025
- Influence of Facial Features on Ideal Buccal Corridor Width: Implications for Personalised Orthodontic Treatment
Orthodontics and Craniofacial Research · 2025
- Behaviors and attitudes towards mobile learning during course work and scientific research among dental, medical and non-medical undergraduates: a cross-sectional study
BMC Medical Education · 2024
- A re-calibration method for object detection with multi-modal alignment bias in autonomous driving
arXiv (Cornell University) · 2024
- Timealign: A multi-modal object detection method for time misalignment\n fusing in autonomous driving
arXiv (Cornell University) · 2024
- Synthetic Datasets for Autonomous Driving: A Survey
IEEE Transactions on Intelligent Vehicles · 2023
- Machine learning-based spectral and spatial analysis of hyper- and multi-spectral leaf images for Dutch elm disease detection and resistance screening
Artificial Intelligence in Agriculture · 2023
- Bird’s Eye View Map for End-to-end Autonomous Driving Using Reinforcement Learning
2023
- Synthetic Datasets for Autonomous Driving: A Survey
arXiv (Cornell University) · 2023
- Hyperspectral Image-Based Spatial and Spectral Feature Mining for Phosphorus Deficiency Symptom Differentiation at Corn’s Early Vegetative Stage
2023
- Computers and Electronics in Agriculture×7
- arXiv (Cornell University)×5
- Sensors×2
- Applied Thermal Engineering×2
- International Journal of Heat and Mass Transfer×2
- Suresh V. Garimella
Engineering · Purdue University West Lafayette
- C. Hong
Engineering · The Ohio State University
- Daniel Raphael Ejike Ewim
Engineering · The Ohio State University
- Di Qi
Engineering · Purdue University West Lafayette
- Faraz Ahmad
Engineering · Purdue University West Lafayette
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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