| A hybrid group leader algorithm for green material selection with energy consideration in product design F Tao, LN Bi, Y Zuo, AYC Nee CIRP Annals 65 (1), 9-12, 2016 | 61 | 2016 |
| Improving image-based plant disease classification with generative adversarial network under limited training set L Bi, G Hu Frontiers in plant science 11, 583438, 2020 | 56 | 2020 |
| Partial/parallel disassembly sequence planning for complex products F Tao, L Bi, Y Zuo, AYC Nee Journal of Manufacturing Science and Engineering 140 (1), 011016, 2018 | 56 | 2018 |
| Hypernetwork-based manufacturing service scheduling for distributed and collaborative manufacturing operations towards smart manufacturing Y Cheng, L Bi, F Tao, P Ji Journal of Intelligent Manufacturing 31 (7), 1707-1720, 2020 | 48 | 2020 |
| A cooperative co-evolutionary algorithm for large-scale process planning with energy consideration F Tao, L Bi, Y Zuo, AYC Nee Journal of Manufacturing Science and Engineering 139 (6), 061016, 2017 | 34 | 2017 |
| A gated recurrent units (GRU)-based model for early detection of soybean sudden death syndrome through time-series satellite imagery L Bi, G Hu, MM Raza, Y Kandel, L Leandro, D Mueller Remote Sensing 12 (21), 3621, 2020 | 23 | 2020 |
| A genetic algorithm-assisted deep learning approach for crop yield prediction L Bi, G Hu Soft Computing 25, 10617-10628, 2021 | 20 | 2021 |
| COVID-19 forecasting and intervention planning using gated recurrent unit and evolutionary algorithm L Bi, M Fili, G Hu Neural Computing and Applications 34 (20), 17561-17579, 2022 | 15 | 2022 |
| Energy-aware material selection for product with multicomponent under cloud environment L Bi, Y Zuo, F Tao, TW Liao, Z Liu Journal of Computing and Information Science in Engineering 17 (3), 031007, 2017 | 13 | 2017 |
| Opportunistic maintenance for multi-unit series systems based on gated recurrent units prediction model L Bi, F Tao, P Zhang, AYC Nee CIRP Annals 69 (1), 25-28, 2020 | 6 | 2020 |
| A transformer-based approach for early prediction of soybean yield using time-series images L Bi, O Wally, G Hu, AU Tenuta, YR Kandel, DS Mueller Frontiers in Plant Science 14, 1173036, 2023 | 2 | 2023 |
| FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR L Bi, Y Wang, F Zhang, Z Liu, Y Cai, E Zhao arXiv preprint arXiv:2207.05750, 2022 | 2 | 2022 |
| A gated recurrent units (GRU)-based model for the prediction of soybean sudden death syndrome with time-series satellite imagery L Bi, G Hu IIE Annual Conference. Proceedings, 658-663, 2020 | 2 | 2020 |
| Prediction of New COVID-19 Cases Considering Mitigation Policies and Weather Data for European Countries M Fili, K De Brabanter, L Bi, G Hu INFORMS International Conference on Service Science, 425-438, 2022 | 1 | 2022 |
| Deep learning approaches for yield prediction and crop disease recognition L Bi Iowa State University, 2022 | 1 | 2022 |
| Covid-19 Intervention Policy Optimization Using a Multi-population Evolutionary Algorithm L Bi, M Fili, G Hu INFORMS International Conference on Service Science, 383-396, 2021 | | 2021 |
| Improving plant disease recognition with generative adversarial network under limited training set L Bi | | 2019 |
