Tao Lin - Concepedia

Author

Tao Lin

Zhejiang University ORCID

Also Known As

Chen, Yiling, J Chu, LIN Tao, Lin T, Lin TAO, Lin Tao, Lin Tao Ma, Lin, Tao, Mao, Enrong, Shisheng Zhu

402

Publications

8.7K

Citations

H-Index

255

Concepts

All Affiliations

Zhejiang University University of Illinois Urbana-Champaign Central South University Ministry of Agriculture and Rural Affairs Zhejiang Lab

About

Tao Lin is an author at Zhejiang University specializing in engineering, machine learning, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	34	58	3.7K
2	Business	10	10	604
3	Health Sciences	6	6	193
4	Language Studies	2	2	69
5	Management	2	2	183

Tao Lin

Publications

7.8K

Citations

H-Index

Page 1

	Year	Citations
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction Ling Zhao, Yujiao Song, Chao Zhang, IEEE Transactions on Intelligent Transportation Systems	2019	3K
DeepSpectra: An end-to-end deep learning approach for quantitative spectral analysis Xiaolei Zhang, Tao Lin, Jinfan Xu, Analytica Chimica Acta Spectral TheoryEngineeringMachine LearningData ScienceImaging Spectroscopy	2019	339
Deep learning for vibrational spectral analysis: Recent progress and a practical guide Jie Yang, Jinfan Xu, Xiaolei Zhang, Analytica Chimica Acta EngineeringMachine LearningData ScienceVibrational Spectral AnalysisSpectroscopy	2019	275
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping Jinfan Xu, Yue Zhu, Renhai Zhong, Remote Sensing of Environment CartographyPrecision AgricultureMachine VisionEngineeringData Science	2020	241
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 Hao Jiang, Hao Hu, Renhai Zhong, Global Change Biology Precision AgricultureEngineeringLand UseAgricultural EconomicsUs Corn Belt	2019	224
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting Jiawei Zhu, Xing Han, Hanhan Deng, IEEE Transactions on Intelligent Transportation Systems	2022	176
Towards interpreting multi-temporal deep learning models in crop mapping Jinfan Xu, Jie Yang, Xingguo Xiong, Remote Sensing of Environment Crop MappingPrecision AgricultureMachine VisionMachine LearningEngineering	2021	172
Gene function and cell surface protein association analysis based on single-cell multiomics data Huan Hu, Zhen Feng, Hai Lin, Computers in Biology and Medicine	2023	146
Hybrid Neural Networks for Learning the Trend in Time Series Tao Lin, Tian Guo, Karl Aberer Intermediate UpwardConvolutional Neural NetworkDeep Neural NetworksEngineeringMachine Learning	2017	138
Understanding the learning mechanism of convolutional neural networks in spectral analysis Xiaolei Zhang, Jinfan Xu, Jie Yang, Analytica Chimica Acta Spectral TheoryConvolutional Neural NetworkImage AnalysisMachine LearningEngineering	2020	134

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