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Institution · Didi Chuxing (China)

Most cited papers from Didi Chuxing (China)

Didi Chuxing (China)

What are the most cited papers from Didi Chuxing (China)?

The most cited paper from Didi Chuxing (China) is "Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction" (Huaxiu Yao, Fei Qing Wu, Jintao Ke et al., 2018), with 1,103 citations. Next come "Single Image Super-Resolution via a Holistic Attention Network" (703) and "The Seventh Visual Object Tracking VOT2019 Challenge Results" (499).

Showing 50 of 58 papers. Every paper with more than 60 citations is listed.

Most cited papers, sortable by citations and release date
#Paper
1 Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction Huaxiu Yao, Fei Qing Wu, Jintao Ke et al. · Proceedings of the AAAI Conference on Artificial Intelligence Conference paperOpen access 26 Apr 2018 1,103
2 Single Image Super-Resolution via a Holistic Attention Network Ben Niu, Weilei Wen, Wenqi Ren et al. · Lecture notes in computer science Conference paper 2020 703
3 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan et al. Conference paperOpen access180 authors Oct 2019 499
4 Large-Scale Order Dispatch in On-Demand Ride-Hailing Platforms Zhe Xu, Zhixin Li, Qingwen Guan et al. Conference paper 19 Jul 2018 387
5 Learning to Estimate the Travel Time Zheng Wang, Kun Fu, Jieping Ye Conference paper 19 Jul 2018 262
6 Pricing and equilibrium in on-demand ride-pooling markets Jintao Ke, Hai Long Yang, Xinwei Li et al. · Transportation Research Part B Methodological 23 Jul 2020 253
7 Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning Minne Li, Zhiwei Tony Qin, Yan Jiao et al. Conference paperOpen access 13 May 2019 246
8 A Taxi Order Dispatch Model based On Combinatorial Optimization Lingyu Zhang, Tao Hu, Min Yue et al. Conference paper 4 Aug 2017 241
9 An Attention-Based Graph Neural Network for Heterogeneous Structural Learning Huiting Hong, Hantao Guo, Yu‐Cheng Lin et al. · Proceedings of the AAAI Conference on Artificial Intelligence Conference paperOpen access 3 Apr 2020 240
10 Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network Jintao Ke, Xiaoran Qin, Hai Long Yang et al. · arXiv (Cornell University) PreprintOpen access 17 Oct 2019 227
11 Multi-Source Distilling Domain Adaptation Sicheng Zhao, Guangzhi Wang, Shanghang Zhang et al. · Proceedings of the AAAI Conference on Artificial Intelligence Conference paperOpen access 3 Apr 2020 219
12 Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction Xuanzhao Wang, Zhengping Che, Bo Jiang et al. · IEEE Transactions on Neural Networks and Learning Systems 4 Jun 2021 211
13 DeepSD: Supply-Demand Prediction for Online Car-Hailing Services Using Deep Neural Networks Dong Wang, Wei Cao, Jian Li et al. Conference paper Apr 2017 206
14 Optimizing matching time interval and matching radius in on-demand ride-sourcing markets Hai Long Yang, Xiaoran Qin, Jintao Ke et al. · Transportation Research Part B Methodological 6 Dec 2019 198
15 A unified approach to route planning for shared mobility Yongxin Tong, Yuxiang Zeng, Zimu Zhou et al. · Proceedings of the VLDB Endowment Open access Jul 2018 188
16 A Deep Value-network Based Approach for Multi-Driver Order Dispatching Xiaocheng Tang, Zhiwei Tony Qin, Fan Zhang et al. Conference paper 25 Jul 2019 184
17 Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services Jintao Ke, Hai Long Yang, Hongyu Zheng et al. · IEEE Transactions on Intelligent Transportation Systems 7 Dec 2018 170
18 Learning Alignment for Multimodal Emotion Recognition from Speech Haiyang Xu, Hui Zhang, Kun Han et al. Conference paper 13 Sep 2019 167
19 Managing connected and automated vehicles at isolated intersections: From reservation- to optimization-based methods Chunhui Yu, Weili Sun, Henry X. Liu et al. · Transportation Research Part B Methodological Open access 16 Mar 2019 163
20 Cooperation of Multiple Connected Vehicles at Unsignalized Intersections: Distributed Observation, Optimization, and Control Yougang Bian, Shengbo Eben Li, Wei Ren et al. · IEEE Transactions on Industrial Electronics 25 Dec 2019 154
21 ROAM: Recurrently Optimizing Tracking Model Tianyu Yang, Pengfei Xu, Runbo Hu et al. Conference paper Jun 2020 146
22 RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations Haiping Wang, Yuan Liu, Qingyong Hu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence 16 Feb 2023 137
23 On the supply curve of ride-hailing systems Zhengtian Xu, Yafeng Yin, Jieping Ye · Transportation Research Part B Methodological 4 Mar 2019 137
24 Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning Zhiwei Tony Qin, Xiaocheng Tang, Yan Jiao et al. · INFORMS Journal on Applied Analytics Sep 2020 135
25 Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework Jintao Ke, Feng Xiao, Hai Long Yang et al. · IEEE Transactions on Knowledge and Data Engineering Jul 2020 130
26 Integrated reward scheme and surge pricing in a ridesourcing market Hai Long Yang, Chaoyi Shao, Hai Wang et al. · Transportation Research Part B Methodological Open access 21 Feb 2020 125
27 An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos Sicheng Zhao, Yunsheng Ma, Yang Gu et al. · Proceedings of the AAAI Conference on Artificial Intelligence Conference paperOpen access 3 Apr 2020 122
28 Unsupervised Face Normalization With Extreme Pose and Expression in the Wild Yichen Qian, Weihong Deng, Jiani Hu Conference paper Jun 2019 114
29 Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching Zhaodong Wang, Zhiwei Tony Qin, Xiaocheng Tang et al. Conference paper Nov 2018 114
30 Automatic Dialogue Summary Generation for Customer Service Chunyi Liu, Peng Wang, Jiang Xu et al. Conference paperOpen access 25 Jul 2019 113
31 HetETA Huiting Hong, Yu‐Cheng Lin, Xiaoqing Yang et al. Conference paper 20 Aug 2020 109
32 Various methods for queue length and traffic volume estimation using probe vehicle trajectories Yan Zhao, Jianfeng Zheng, Wai Hung Wong et al. · Transportation Research Part C Emerging Technologies Open access 13 Aug 2019 108
33 Dynamic Pricing in Spatial Crowdsourcing Yongxin Tong, Libin Wang, Zimu Zhou et al. Conference paperOpen access 25 May 2018 108
34 A universal distribution law of network detour ratios Hai Long Yang, Jintao Ke, Jieping Ye · Transportation Research Part C Emerging Technologies 20 Sep 2018 101
35 Real-world ride-hailing vehicle repositioning using deep reinforcement learning Yan Jiao, Xiaocheng Tang, Zhiwei Tony Qin et al. · Transportation Research Part C Emerging Technologies 22 Jul 2021 99
36 Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem John Holler, Risto Vuorio, Zhiwei Tony Qin et al. Conference paper Nov 2019 98
37 Multi-objective optimization of traffic signals based on vehicle trajectory data at isolated intersections Wanjing Ma, Lijuan Wan, Chunhui Yu et al. · Transportation Research Part C Emerging Technologies Open access 8 Oct 2020 95
38 ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation Sicheng Zhao, Yezhen Wang, Bo Li et al. · Proceedings of the AAAI Conference on Artificial Intelligence Conference paperOpen access 18 May 2021 93
39 Optimal passenger-seeking policies on E-hailing platforms using Markov decision process and imitation learning Zhenyu Shou, Xuan Sharon Di, Jieping Ye et al. · Transportation Research Part C Emerging Technologies Open access 24 Dec 2019 93
40 Modelling drivers’ working and recharging schedules in a ride-sourcing market with electric vehicles and gasoline vehicles Jintao Ke, Xuekai Cen, Hai Yang et al. · Transportation Research Part E Logistics and Transportation Review 14 Mar 2019 90
41 Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network Hongzhi Shi, Quanming Yao, Qi Kai Guo et al. Conference paper Apr 2020 89
42 Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images Zhengxia Zou, Sen Lei, Tianyang Shi et al. Conference paper Jun 2020 87
43 Signal-To-Noise Ratio: A Robust Distance Metric for Deep Metric Learning Tongtong Yuan, Weihong Deng, Jian Tang et al. Conference paper Jun 2019 85
44 Point2Roof: End-to-end 3D building roof modeling from airborne LiDAR point clouds Li Li, Nan Song, Fei Xian Sun et al. · ISPRS Journal of Photogrammetry and Remote Sensing 10 Sep 2022 81
45 MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation Sicheng Zhao, Bo Li, Pengfei Xu et al. · International Journal of Computer Vision 24 May 2021 80
46 Driving safety assessment for ride-hailing drivers Huiying Mao, Xinwei Deng, Honggang Jiang et al. · Accident Analysis & Prevention 29 Jul 2020 80
47 Neural Topic Modeling with Bidirectional Adversarial Training Rui Wang, Xuemeng Hu, Deyu Zhou et al. Conference paperOpen access 2020 79
48 CompactETA Kun Fu, Fanlin Meng, Jieping Ye et al. Conference paper 20 Aug 2020 77
49 Optimizing matching time intervals for ride-hailing services using reinforcement learning Guoyang Qin, Qi Luo, Yafeng Yin et al. · Transportation Research Part C Emerging Technologies 17 Jun 2021 75
50 A method of cell-to-cell variation evaluation for battery packs in electric vehicles with charging cloud data Yifan Lu, Kai Li, Xuebing Han et al. · eTransportation 11 Aug 2020 74

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.