| T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction L Zhao, Y Song, C Zhang, Y Liu, P Wang, T Lin, M Deng, H Li IEEE Transactions on Intelligent Transportation Systems, 2019 | 2141 | 2019 |
| DeepSpectra: An end-to-end deep learning approach for quantitative spectral analysis X Zhang, T Lin, J Xu, X Luo, Y Ying Analytica Chimica Acta 1058, 48-57, 2019 | 259 | 2019 |
| Deep learning for vibrational spectral analysis: Recent progress and a practical guide J Yang, J Xu, X Zhang, C Wu, T Lin, Y Ying Analytica chimica acta 1081, 6-17, 2019 | 224 | 2019 |
| A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level H Jiang, H Hu, R Zhong, J Xu, J Xu, J Huang, S Wang, Y Ying, T Lin Global Change Biology, 2019 | 159 | 2019 |
| Agricultural robotics research applicable to poultry production: A review G Ren, T Lin, Y Ying, G Chowdhary, KC Ting Computers and Electronics in Agriculture 169, 105216, 2020 | 154 | 2020 |
| DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping J Xu, Y Zhu, R Zhong, Z Lin, J Xu, H Jiang, J Huang, H Li, T Lin Remote Sensing of Environment 247, 111946, 2020 | 153 | 2020 |
| Integrated strategic and tactical biomass–biofuel supply chain optimization T Lin, LF Rodríguez, YN Shastri, AC Hansen, KC Ting Bioresource technology 156, 256-266, 2014 | 128 | 2014 |
| Food and agro-product quality evaluation based on spectroscopy and deep learning: A review X Zhang, J Yang, T Lin, Y Ying Trends in Food Science & Technology 112, 431-441, 2021 | 104 | 2021 |
| Xcm: An explainable convolutional neural network for multivariate time series classification K Fauvel, T Lin, V Masson, É Fromont, A Termier Mathematics 9 (23), 3137, 2021 | 98 | 2021 |
| Towards interpreting multi-temporal deep learning models in crop mapping J Xu, J Yang, X Xiong, H Li, J Huang, KC Ting, Y Ying, T Lin Remote Sensing of Environment 264, 112599, 2021 | 95 | 2021 |
| Supply chain optimization of sugarcane first generation and eucalyptus second generation ethanol production in Brazil JGG Jonker, HM Junginger, JA Verstegen, T Lin, LF Rodríguez, KC Ting, ... Applied Energy 173, 494-510, 2016 | 94 | 2016 |
| Understanding the learning mechanism of convolutional neural networks in spectral analysis X Zhang, J Xu, J Yang, L Chen, H Zhou, X Liu, H Li, T Lin, Y Ying Analytica Chimica Acta 1119, 41-51, 2020 | 93 | 2020 |
| GIS‐enabled biomass‐ethanol supply chain optimization: model development and Miscanthus application T Lin, LF Rodríguez, YN Shastri, AC Hansen, KC Ting Biofuels, Bioproducts and Biorefining 7 (3), 314-333, 2013 | 88 | 2013 |
| A cyberGIS approach to uncertainty and sensitivity analysis in biomass supply chain optimization H Hu, T Lin, S Wang, LF Rodriguez Applied energy 203, 26-40, 2017 | 78 | 2017 |
| Biomass feedstock preprocessing and long‐distance transportation logistics T Lin, LF Rodríguez, S Davis, M Khanna, Y Shastri, T Grift, S Long, ... Gcb Bioenergy 8 (1), 160-170, 2016 | 74 | 2016 |
| Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model P Wei, D Chai, T Lin, C Tang, M Du, J Huang ISPRS journal of photogrammetry and remote sensing 174, 198-214, 2021 | 72 | 2021 |
| DeepCropNet: a deep spatial-temporal learning framework for county-level corn yield estimation T Lin, R Zhong, Y Wang, J Xu, H Jiang, J Xu, Y Ying, L Rodriguez, ... Environmental research letters 15 (3), 034016, 2020 | 58 | 2020 |
| Integrated urban controlled environment agriculture systems KC Ting, T Lin, PC Davidson LED lighting for urban agriculture, 19-36, 2016 | 54 | 2016 |
| Multi-objective optimization for sustainable renewable jet fuel production: A case study of corn stover based supply chain system in Midwestern US E Huang, X Zhang, L Rodriguez, M Khanna, S de Jong, KC Ting, Y Ying, ... Renewable and Sustainable Energy Reviews 115, 109403, 2019 | 51 | 2019 |
| CyberGIS-enabled decision support platform for biomass supply chain optimization T Lin, S Wang, LF Rodríguez, H Hu, Y Liu Environmental Modelling & Software 70, 138-148, 2015 | 46 | 2015 |
K.C. TingUniversity of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
