| Do we really need deep CNN for plant diseases identification? Y Li, J Nie, X Chao Computers and Electronics in Agriculture 178, 105803, 2020 | 171 | 2020 |
| Few-shot cotton pest recognition and terminal realization Y Li, J Yang Computers and Electronics in Agriculture 169, 105240, 2020 | 142 | 2020 |
| Meta-learning baselines and database for few-shot classification in agriculture Y Li, J Yang Computers and Electronics in Agriculture 182, 106055, 2021 | 123 | 2021 |
| Semi-supervised few-shot learning approach for plant diseases recognition Y Li, X Chao Plant Methods 17, 1-10, 2021 | 100 | 2021 |
| A survey of few-shot learning in smart agriculture: developments, applications, and challenges J Yang, X Guo, Y Li, F Marinello, S Ercisli, Z Zhang Plant Methods 18 (1), 28, 2022 | 87 | 2022 |
| ANN-based continual classification in agriculture Y Li, X Chao Agriculture Basel 10 (5), 178, 2020 | 80 | 2020 |
| Msta-net: forgery detection by generating manipulation trace based on multi-scale self-texture attention J Yang, S Xiao, A Li, W Lu, X Gao, Y Li IEEE Transactions on Circuits and Systems for Video Technology 32 (7), 4854-4866, 2021 | 70 | 2021 |
| Entropy-based redundancy analysis and information screening Y Li, J Yang, J Wen Digital Communications and Networks, 2023 | 50 | 2023 |
| Distance-entropy: an effective indicator for selecting informative data Y Li, X Chao Frontiers in Plant Science, 2022 | 47 | 2022 |
| Toward sustainability: trade-off between data quality and quantity in crop pest recognition Y Li, X Chao Frontiers in Plant Science 12, 2959, 2021 | 46 | 2021 |
| Comprehensive ocean information-enabled AUV path planning via reinforcement learning M Xi, J Yang, J Wen, H Liu, Y Li, HH Song IEEE Internet of Things Journal 9 (18), 17440-17451, 2022 | 45 | 2022 |
| Artificial intelligence and digital twins in sustainable agriculture and forestry: A survey J Nie, Y Wang, Y Li, X Chao Turkish Journal of Agriculture and Forestry, 2022 | 44 | 2022 |
| Healthcare Data Quality Assessment for Cybersecurity Intelligence Y Li, J Yang, Z Zhang, J Wen, P Kumar IEEE Transactions on Industrial Informatics, 2023 | 42 | 2023 |
| Dissimilarity-based active learning for embedded weed identification Y Yang, Y Li, J Yang, J Wen Turkish Journal of Agriculture and Forestry 46 (3), 390-401, 2022 | 42 | 2022 |
| Disturbed-entropy: A simple data quality assessment approach Y Li, X Chao, S Ercisli ICT Express 8 (3), 309-312, 2022 | 41 | 2022 |
| Sustainable computing in smart agriculture: survey and challenges J Nie, Y Wang, Y Li, X Chao Turkish Journal of Agriculture and Forestry 46 (4), 550-566, 2022 | 38 | 2022 |
| Data quality assessment and analysis for pest identification in smart agriculture J Yang, G Lan, Y Li, Y Gong, Z Zhang, S Ercisli Computers and Electrical Engineering 103, 108322, 2022 | 35 | 2022 |
| The intelligent path planning system of agricultural robot via reinforcement learning J Yang, J Ni, Y Li, J Wen, D Chen Sensors 22 (12), 4316, 2022 | 29 | 2022 |
| Radar target recognition based on few-shot learning Y Yang, Z Zhang, W Mao, Y Li, C Lv Multimedia Systems, 1-11, 2021 | 29 | 2021 |
| A digital twins enabled underwater intelligent internet vehicle path planning system via reinforcement learning and edge computing J Yang, M Xi, J Wen, Y Li, H Song Digital Communications and Networks, 2022 | 26 | 2022 |
