| 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 |
| Two-stage gradient-based iterative estimation methods for controlled autoregressive systems using the measurement data F Ding, L Lv, J Pan, X Wan, XB Jin International Journal of Control, Automation and Systems 18 (4), 886-896, 2020 | 173 | 2020 |
| Gradient estimation algorithms for the parameter identification of bilinear systems using the auxiliary model F Ding, L Xu, D Meng, XB Jin, A Alsaedi, T Hayat Journal of Computational and Applied Mathematics 369, 112575, 2020 | 147 | 2020 |
| 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 | 85 | 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 |
| A neuron-based kalman filter with nonlinear autoregressive model Y Bai, X Wang, X Jin, Z Zhao, B Zhang Sensors 20 (1), 299, 2020 | 70 | 2020 |
| 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 |
| Partially‐coupled gradient‐based iterative algorithms for multivariable output‐error‐like systems with autoregressive moving average noises H Ma, X Zhang, Q Liu, F Ding, XB Jin, A Alsaedi, T Hayat IET Control Theory & Applications 14 (17), 2613-2627, 2020 | 67 | 2020 |
| Joint multi-innovation recursive extended least squares parameter and state estimation for a class of state-space systems T Cui, F Ding, XB Jin, A Alsaedi, T Hayat International Journal of Control, Automation and Systems 18 (6), 1412-1424, 2020 | 64 | 2020 |
| Analysis of algae growth mechanism and water bloom prediction under the effect of multi-affecting factor L Wang, X Wang, X Jin, J Xu, H Zhang, J Yu, Q Sun, C Gao, L Wang Saudi journal of biological sciences 24 (3), 556-562, 2017 | 61 | 2017 |
