| CropDeep: The crop vision dataset for deep-learning-based classification and detection in precision agriculture YY Zheng, JL Kong, XB Jin, XY Wang, TL Su, M Zuo Sensors 19 (5), 1058, 2019 | 370 | 2019 |
| Deep-learning forecasting method for electric power load via attention-based encoder-decoder with bayesian optimization XB Jin, WZ Zheng, JL Kong, XY Wang, YT Bai, TL Su, S Lin Energies 14 (6), 1596, 2021 | 134 | 2021 |
| Multi-stream hybrid architecture based on cross-level fusion strategy for fine-grained crop species recognition in precision agriculture J Kong, H Wang, X Wang, X Jin, X Fang, S Lin Computers and Electronics in Agriculture 185, 106134, 2021 | 115 | 2021 |
| PFVAE: a planar flow-based variational auto-encoder prediction model for time series data XB Jin, WT Gong, JL Kong, YT Bai, TL Su Mathematics 10 (4), 610, 2022 | 102 | 2022 |
| Deep learning predictor for sustainable precision agriculture based on internet of things system XB Jin, XH Yu, XY Wang, YT Bai, TL Su, JL Kong Sustainability 12 (4), 1433, 2020 | 100 | 2020 |
| Hybrid deep learning predictor for smart agriculture sensing based on empirical mode decomposition and gated recurrent unit group model XB Jin, NX Yang, XY Wang, YT Bai, TL Su, JL Kong Sensors 20 (5), 1334, 2020 | 99 | 2020 |
| The new trend of state estimation: From model-driven to hybrid-driven methods XB Jin, RJ Robert Jeremiah, TL Su, YT Bai, JL Kong Sensors 21 (6), 2085, 2021 | 86 | 2021 |
| A spatial feature-enhanced attention neural network with high-order pooling representation for application in pest and disease recognition J Kong, H Wang, C Yang, X Jin, M Zuo, X Zhang Agriculture 12 (4), 500, 2022 | 85 | 2022 |
| A reversible automatic selection normalization (RASN) deep network for predicting in the smart agriculture system X Jin, J Zhang, J Kong, T Su, Y Bai Agronomy 12 (3), 591, 2022 | 84 | 2022 |
| Deep hybrid model based on EMD with classification by frequency characteristics for long-term air quality prediction XB Jin, NX Yang, XY Wang, YT Bai, TL Su, JL Kong Mathematics 8 (2), 214, 2020 | 82 | 2020 |
| Deep‐stacking network approach by multisource data mining for hazardous risk identification in IoT‐based intelligent food management systems J Kong, C Yang, J Wang, X Wang, M Zuo, X Jin, S Lin Computational Intelligence and Neuroscience 2021 (1), 1194565, 2021 | 79 | 2021 |
| Deep-learning temporal predictor via bidirectional self-attentive encoder–decoder framework for IOT-based environmental sensing in intelligent greenhouse XB Jin, WZ Zheng, JL Kong, XY Wang, M Zuo, QC Zhang, S Lin Agriculture 11 (8), 802, 2021 | 77 | 2021 |
| A variational Bayesian deep network with data self-screening layer for massive time-series data forecasting XB Jin, WT Gong, JL Kong, YT Bai, TL Su Entropy 24 (3), 335, 2022 | 75 | 2022 |
| Prediction for Time Series with CNN and LSTM X Jin, X Yu, X Wang, Y Bai, T Su, J Kong Proceedings of the 11th international conference on modelling …, 2020 | 70 | 2020 |
| Integrated predictor based on decomposition mechanism for PM2. 5 long-term prediction X Jin, N Yang, X Wang, Y Bai, T Su, J Kong Applied Sciences 9 (21), 4533, 2019 | 59 | 2019 |
| State-of-the-art mobile intelligence: Enabling robots to move like humans by estimating mobility with artificial intelligence XB Jin, TL Su, JL Kong, YT Bai, BB Miao, C Dou Applied Sciences 8 (3), 379, 2018 | 54 | 2018 |
| Adaptive filtering for MEMS gyroscope with dynamic noise model Y Bai, X Wang, X Jin, T Su, J Kong, B Zhang ISA transactions 101, 430-441, 2020 | 46 | 2020 |
| Deep spatio-temporal graph network with self-optimization for air quality prediction XB Jin, ZY Wang, JL Kong, YT Bai, TL Su, HJ Ma, P Chakrabarti Entropy 25 (2), 247, 2023 | 41 | 2023 |
| Compound autoregressive network for prediction of multivariate time series Y Bai, X Jin, X Wang, T Su, J Kong, Y Lu Complexity 2019 (1), 9107167, 2019 | 40 | 2019 |
| Distributed deep fusion predictor for a multi-sensor system based on causality entropy XB Jin, XH Yu, TL Su, DN Yang, YT Bai, JL Kong, L Wang Entropy 23 (2), 219, 2021 | 39 | 2021 |
Xue-bo JINProfessor, Beijing Technology and Business University在 btbu.edu.cn 的电子邮件经过验证
