| A review on drone-based harmful algae blooms monitoring D Wu, R Li, F Zhang, J Liu Environmental monitoring and assessment 191, 1-11, 2019 | 80 | 2019 |
| Challenges and opportunities for coping with the smart divide in rural America R Li, K Chen, D Wu Annals of the American Association of Geographers 110 (2), 559-570, 2020 | 32 | 2020 |
| Assessing the impacts of anthropogenic drainage structures on hydrologic connectivity using high‐resolution digital elevation models S Bhadra, R Li, D Wu, G Wang, B Rekabdar Transactions in GIS 25 (5), 2596-2611, 2021 | 5 | 2021 |
| Classification and feature extraction for hydraulic structures data using advanced cnn architectures S Talafha, D Wu, B Rekabdar, R Li, G Wang 2021 Third International Conference on Transdisciplinary AI (TransAI), 137-146, 2021 | 5 | 2021 |
| Classification of drainage crossings on high-resolution digital elevation models: A deep learning approach D Wu, R Li, B Rekabdar, C Talbert, M Edidem, G Wang GIScience & Remote Sensing 60 (1), 2230706, 2023 | 4 | 2023 |
| Exploring the use of decision tree methodology in hydrology using crowdsourced data D Wu, EA Del Rosario, C Lowry JAWRA Journal of the American Water Resources Association 57 (2), 256-266, 2021 | 4 | 2021 |
| Monitoring algal blooms in small lakes using drones: a case study in southern illinois D Wu, R Li, J Liu, N Khan Journal of Contemporary Water Research & Education 177 (1), 83-93, 2023 | 3 | 2023 |
| Accuracy-Constrained Efficiency Optimization and GPU Profiling of CNN Inference for Detecting Drainage Crossing Locations Y Zhang, D Pandey, D Wu, T Kundu, R Li, T Shu Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 1 | 2023 |
| Evaluating lidar-based elevation-derived hydrography in low-lying agricultural landscapes R Li, D Wu, B Rekabdar, G Wang AGU Fall Meeting Abstracts 2022, H55K-0708, 2022 | 1 | 2022 |
| Challenges and opportunities for coping with thee smart in rural America R Li, K Chen, D Wu Smart Spaces and Places, 229-240, 2021 | 1 | 2021 |
| Enhancing Drainage Delineation Using High-resolution Terrain Data Model and Geospatial Artificial Intelligence R Li, D Wu, S Bhadra, B Rekabdar, G Wang AGU Fall Meeting Abstracts 2020, H174-05, 2020 | | 2020 |
| Chapter 7: Applications of Citizen Science Data for National Water Model Streamflow Forecasts D Wu, E A. Del Rosario National Water Center Innovators Program Summer Institute Report 2018, 101-135, 2018 | | 2018 |
