Yan Sun
Computer Science · Purdue University West Lafayette
Publications
66
Citations
729
Est. group size
~1
Recurring co-author estimate
Active years
25
Publishing since 2001
Yan Sun's work applies image analysis and machine learning methods to a wide range of problems, including medical image analysis (such as whole-slide pathology images and cancer origin prediction), remote sensing (satellite and drone-based vegetation and water detection), and other applied prediction tasks like time series forecasting and defect detection. The research emphasizes building deep learning and statistical models that extract useful information from images and other structured data across several application domains rather than focusing on a single narrow topic.
Publication output has grown unevenly over the past decade, with notable increases in 2021 and 2024, suggesting an active but variable publication pace rather than a smooth steady trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- A Local-Global Multi-Scale Feature Fusion Learning Network for Whole Slide Images Segmentation
2025
- Research on Deep Knowledge Tracing Model Integrating Knowledge Structure Graph
2025
- DBHRNet: A lightweight dual-branch hybrid regression network for zinc concentrate component content estimation using hyperspectral images
Measurement · 2025
- A Pathological Diagnosis Method Combining Image-Text Large Model and Rule-Based Reasoning
2024
- Detection and Recognition of Kinect Body Movements Based on AdaBoost Algorithm and Visual Gesture Builder
2024
- Water body extraction based on multi-scale attention from synthetic aperture radar images
Journal of Applied Remote Sensing · 2024
- A Multivariate Time Series Prediction Method Based on Convolution-Residual Gated Recurrent Neural Network and Double-Layer Attention
Electronics · 2024
- Prediction of tumor origin in cancers of unknown primary origin with cytology-based deep learning
Nature Medicine · 2024
- An efficient context-aware approach for whole slide image classification
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- Crop Disease Identification Based on Deep Learning
2023
- Construction of Online Teaching Quality Evaluation System in Universities Oriented by Deep Learning
2023
- Manifold-constrained Gaussian process inference for time-varying parameters in dynamic systems
Statistics and Computing · 2023
- An efficient context-aware approach for whole-slide image classification
iScience · 2023
- Karst vegetation coverage detection using UAV multispectral vegetation indices and machine learning algorithm
Plant Methods · 2023
- Manifold-constrained Gaussian process inference for time-varying parameters in dynamic systems
Research Square · 2022
- arXiv (Cornell University)×6
- Journal of the Royal Statistical Society Series B (Statistical Methodology)×2
- MATEC Web of Conferences×2
- Tunnelling and Underground Space Technology×1
- Sustainability×1
- Nikolaos Bourbakis
Computer Science · Purdue University West Lafayette
- Nazmul Haque
Computer Science · Purdue University West Lafayette
- Ryan Anderson
Computer Science · Indiana University
- Hui Hui Wang
Computer Science · Purdue University West Lafayette
- Chris Taylor
Computer 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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