| Estimate soil moisture of maize by combining support vector machine and chaotic whale optimization algorithm B He, B Jia, Y Zhao, X Wang, M Wei, R Dietzel Agricultural Water Management 267, 107618, 2022 | 34 | 2022 |
| Explainable artificial intelligence reveals environmental constraints in seagrass distribution B He, Y Zhao, W Mao Ecological Indicators 144, 109523, 2022 | 13 | 2022 |
| Review on degradation mechanism and restoration strategies of seagrass ecosystem W Mao, Y Zhao, B He, B Jia, W Li Journal of Desert Research 42 (1), 87, 2022 | 3 | 2022 |
| Mapping seagrass habitats of potential suitability using a hybrid machine learning model B He, Y Zhao, S Liu, S Ahmad, W Mao Frontiers in Ecology and Evolution 11, 1116083, 2023 | 2 | 2023 |
| Prediction of Potential Seagrass Habitat Using Remote Sensing Big Data and Machine Learning B He, Y Zhao, S Liu, S Ahmad, W Mao Preprints, 2022 | 2 | 2022 |
| Leveraging explainable machine learning models to assess forest health: A case study in Hainan, China J Li, B He, S Ahmad, W Mao Ecology and Evolution 13 (9), e10558, 2023 | | 2023 |
| Soil Moisture Prediction of Maize by Combining Support Vector Machine and Chaotic Whale Optimization Algorithm B He, B Jia, Y Zhao, X Wang, W Mao, R Dietzel Available at SSRN 4008734, 2022 | | 2022 |
| Evaluation and attribution analysis of land degradation and development in Hainan Island, China W Wu, J Yu, B He, Y Jiang, T Su, R Li, X Shen, W Liu Authorea Preprints, 2021 | | 2021 |
