Exploration of Rate-Limiting Conformational State for 5-[(7-Chloro-4-quinolinyl)amino]-3-[(alkylamino)methyl][1, 1'-biphenyl]-2-ols and Nω-Oxides (Tebuquine Analogues) for Antimalarial Activity Using Molecular Shape Analysis and Molecular Field Analysis Studies. - Pooja Sharma; Sandeep Chhabra; Nitin Rai; Nanda Ghoshal (J. Chem. Inf. Model., 2007)

Exploiting computing power of Xeon and Intel Xeon Phi for a molecular dynamics application. - Benny Mathew; Nitin Rai; Apaar Gupta; Amit Harode (SpringSim (HPS), 2015)

Applications of deep learning in precision weed management: A review. - Nitin Rai; Yu Zhang 165; Billy G. Ram; Leon Schumacher; Ravi K. Yellavajjala; Sreekala G. Bajwa; Xin Sun 017 (Comput. Electron. Agric., 2023)

WeedVision: A single-stage deep learning architecture to perform weed detection and segmentation using drone-acquired images. - Nitin Rai; Xin Sun 017 (Comput. Electron. Agric., 2024)

Advances in ground robotic technologies for site-specific weed management in precision agriculture: A review. - Arjun Upadhyay; Yu Zhang 165; Cengiz Koparan; Nitin Rai; Kirk Howatt; Sreekala G. Bajwa; Xin Sun 003 (Comput. Electron. Agric., 2024)

Agricultural weed identification in images and videos by integrating optimized deep learning architecture on an edge computing technology. - Nitin Rai; Yu Zhang 165; Maria Villamil; Kirk Howatt; Michael Ostlie; Xin Sun 017 (Comput. Electron. Agric., 2024)

PhytoSynth: Leveraging Multi-modal Generative Model for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach. - Nitin Rai; Arnold W. Schumann; Nathan Boyd (CVPR Workshops, 2025)

PhytoSynth: Leveraging Multi-modal Generative Models for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach. - Nitin Rai; Arnold W. Schumann; Nathan Boyd (CoRR, 2025)