Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

5 references·16 citing·15 second hop

FromToDepth

this work references cited by second hop

References

2015Methodologies for Cross-Domain Data Fusion: An Overview454 cited
2015Traffic prediction in a bike-sharing system366 cited
2014Prediction of human emergency behavior and their mobility following large-scale disaster189 cited
2015CityMomentum122 cited
2015Predicting traffic volumes and estimating the effects of shocks in massive transportation systems97 cited

Cited by

2017Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting3,639 cited
2019T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction3,527 cited
2020GMAN: A Graph Multi-Attention Network for Traffic Prediction1,923 cited
2020Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting1,732 cited
2022Graph neural network for traffic forecasting: A survey1,484 cited
2018Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction1,248 cited
2020Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting1,075 cited
2019Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting1,020 cited
2019Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

921 cited

2019Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting894 cited

2018A hybrid deep learning based traffic flow prediction method and its understanding806 cited

2020Applications of Artificial Intelligence and Machine learning in smart cities801 cited

2023PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction750 cited

2017Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach748 cited

2021Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting725 cited

2022Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions690 cited