| Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation X Li, L Peng, X Yao, S Cui, Y Hu, C You, T Chi Environmental pollution 231, 997-1004, 2017 | 561 | 2017 |
| A novel spatiotemporal convolutional long short-term neural network for air pollution prediction C Wen, S Liu, X Yao, L Peng, X Li, Y Hu, T Chi Science of The Total Environment 654, 1091-1099, 2019 | 353 | 2019 |
| Deep learning architecture for air quality predictions X Li, L Peng, Y Hu, J Shao, T Chi Environmental Science and Pollution Research 23, 22408-22417, 2016 | 320 | 2016 |
| Dynamic feature fusion for semantic edge detection Y Hu, Y Chen, X Li, J Feng Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 | 69 | 2019 |
| A novel evolution tree for analyzing the global energy consumption structure Y Hu, L Peng, X Li, X Yao, H Lin, T Chi Energy 147, 1177-1187, 2018 | 59 | 2018 |
| A Sample Update-Based Convolutional Neural Network Framework for Object Detection in Large-Area Remote Sensing Images Y Hu, X Li, N Zhou, L Yang, L Peng, S Xiao IEEE Geoscience and Remote Sensing Letters 16 (6), 947-951, 2019 | 49 | 2019 |
| Improved Anchor-Free Instance Segmentation for Building Extraction from High-Resolution Remote Sensing Images T Wu, Y Hu, L Peng, R Chen Remote Sensing 12 (18), 2910, 2020 | 31 | 2020 |
| SwinVRNN: A Data‐Driven Ensemble Forecasting Model via Learned Distribution Perturbation Y Hu, L Chen, Z Wang, H Li Journal of Advances in Modeling Earth Systems 15 (2), e2022MS003211, 2023 | 29 | 2023 |
| RSGPT: A Remote Sensing Vision Language Model and Benchmark Y Hu, J Yuan, C Wen, X Lu, X Li arXiv preprint arXiv:2307.15266, 2023 | 23 | 2023 |
| Chengzeng You, and Tianhe Chi. Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation X Li, L Peng, X Yao, S Cui, Y Hu Environmental pollution 231, 997-1004, 2017 | 22 | 2017 |
| SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting L Chen, F Du, Y Hu, Z Wang, F Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 322-330, 2023 | 20 | 2023 |
| Vision-Language Models in Remote Sensing: Current Progress and Future Trends C Wen, Y Hu, X Li, Z Yuan, XX Zhu arXiv preprint arXiv:2305.05726, 2023 | 18 | 2023 |
| Towards a more realistic and detailed deep-learning-based radar echo extrapolation method Y Hu, L Chen, Z Wang, X Pan, H Li Remote Sensing 14 (1), 24, 2021 | 18 | 2021 |
| PolyBuilding: Polygon transformer for building extraction Y Hu, Z Wang, Z Huang, Y Liu ISPRS Journal of Photogrammetry and Remote Sensing 199, 15-27, 2023 | 17* | 2023 |
| RS-CLIP: Zero shot remote sensing scene classification via contrastive vision-language supervision X Li, C Wen, Y Hu, N Zhou International Journal of Applied Earth Observation and Geoinformation 124 …, 2023 | 9 | 2023 |
| Land Use and Land Cover Mapping in China Using Multi-modal Fine-grained Dual Network S Liu, H Wang, Y Hu, M Zhang, Y Zhu, Z Wang, D Li, M Yang, F Wang IEEE Transactions on Geoscience and Remote Sensing, 2023 | 8 | 2023 |
| Road Extraction From Remote Sensing Images in Wildland–Urban Interface Areas R Chen, X Li, Y Hu, C Wen, L Peng IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2020 | 8 | 2020 |
| Panoptic Edge Detection Y Hu, Y Zou, J Feng arXiv preprint arXiv:1906.00590, 2019 | 7 | 2019 |
| Spatial Attention Network for Road Extraction R Chen, Y Hu, T Wu, L Peng IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 4 | 2020 |
| A Framework of the Urban Pulsation Analysis. X Yao, L Chen, X Wang, L Peng, T Chi, X Li, Y Hu FSDM, 85-93, 2017 | 2 | 2017 |
Xiang LiKAUSTVerifierad e-postadress på kaust.edu.sa
