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20132023
most citedPredicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach

442 citations · 482 across the 7 of their papers we have counts for

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eess.SP2020★ 15 cited

Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method

Jinlei Zhang, Hongshu Che, Feng Chen +2

Short-term origin-destination (OD) flow prediction in urban rail transit (URT) plays a crucial role in smart and real-time URT operation and management. Different from other short-…