Standout Papers

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction 2017 2026 2020 2023 1.1k
  1. Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)
    Junbo Zhang, Yu Zheng et al. Proceedings of the AAAI Conference on Artificial Intelligence
  2. Predicting citywide crowd flows using deep spatio-temporal residual networks (2018)
    Junbo Zhang, Yu Zheng et al. Artificial Intelligence

Immediate Impact

1 from Science/Nature 69 standout
Sub-graph 1 of 18

Citing Papers

A systematic review for transformer-based long-term series forecasting
2025 Standout
An Attention-Driven Spatio-Temporal Deep Hybrid Neural Networks for Traffic Flow Prediction in Transportation Systems
2025 Standout

Works of Dekang Qi being referenced

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
2017 Standout

Author Peers

Author Last Decade Papers Cites
Dekang Qi 1311 30 210 1092 455 6 1.7k
Ning Feng 1106 21 269 794 463 11 1.6k
Wenwen Kang 1318 29 253 951 693 13 1.9k
Zhimin Tao 1004 36 122 780 564 13 1.5k
Huaxiu Yao 1071 10 400 877 428 24 1.6k
Zonghan Wu 1370 18 582 891 551 7 2.2k
Ling Zhao 1522 34 436 1095 659 27 2.3k
Huachun Tan 1128 16 218 748 530 40 1.7k
Xingming Wu 677 29 166 423 378 14 1.3k
Xiaoliang Fan 830 10 229 578 338 39 1.2k
Xianfeng Tang 1030 11 300 873 398 42 1.8k

All Works

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2026