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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

A Deep Reinforcement Learning-Enabled Dynamic Redeployment System for Mobile Ambulances
Shenggong Ji, Yu Zheng, Zhaoyuan Wang, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2019) Vol. 3, Iss. 1, pp. 1-20
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Spatio-temporal feature fusion for dynamic taxi route recommendation via deep reinforcement learning
Shenggong Ji, Zhaoyuan Wang, Tianrui Li, et al.
Knowledge-Based Systems (2020) Vol. 205, pp. 106302-106302
Closed Access | Times Cited: 57
Joint Charging and Relocation Recommendation for E-Taxi Drivers via Multi-Agent Mean Field Hierarchical Reinforcement Learning
Enshu Wang, Rong Ding, Zhaoxing Yang, et al.
IEEE Transactions on Mobile Computing (2020) Vol. 21, Iss. 4, pp. 1274-1290
Closed Access | Times Cited: 47
Towards Fine-grained Flow Forecasting: A Graph Attention Approach for Bike Sharing Systems
Suining He, Kang G. Shin
(2020), pp. 88-98
Closed Access | Times Cited: 42
Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks
Zhaonan Wang, Tianqi Xia, Renhe Jiang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2021)
Closed Access | Times Cited: 36
A Sustainable Model for Emergency Medical Services in Developing Countries: A Novel Approach Using Partial Outsourcing and Machine Learning
Nikki Rathore, Pramod Kumar Jain, Manoranjan Parida
Risk Management and Healthcare Policy (2022) Vol. Volume 15, pp. 193-218
Open Access | Times Cited: 25
Artificial intelligence and machine learning in prehospital emergency care: A scoping review
Marcel Lucas Chee, Mark Leonard Chee, Haotian Huang, et al.
iScience (2023) Vol. 26, Iss. 8, pp. 107407-107407
Open Access | Times Cited: 15
Doing in One Go
Sijie Ruan, Zi Xiong, Cheng Long, et al.
(2020), pp. 2813-2821
Open Access | Times Cited: 33
FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework
Wei Huang, Jia Liu, Tianrui Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2021) Vol. 35, Iss. 4, pp. 3912-3924
Closed Access | Times Cited: 25
Concurrent Order Dispatch for Instant Delivery with Time-Constrained Actor-Critic Reinforcement Learning
Baoshen Guo, Shuai Wang, Yi Ding, et al.
(2021)
Closed Access | Times Cited: 25
Big data fusion with knowledge graph: a comprehensive overview
Jia Liu, Rong Fang Lan, Yajun Du, et al.
Applied Intelligence (2025) Vol. 55, Iss. 7
Closed Access
REDE: Exploring Relay Transportation for Efficient Last-mile Delivery
Wenjun Lyu, Haotian Wang, Zhiqing Hong, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 3003-3016
Closed Access | Times Cited: 6
Daily Schedule Recommendation in Urban Life Based on Deep Reinforcement Learning
Jia Liu, Donghai Zhai, Wei Huang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 2, pp. 2196-2205
Closed Access | Times Cited: 2
When Crowdsourcing Meets Unmanned Vehicles: Toward Cost-Effective Collaborative Urban Sensing via Deep Reinforcement Learning
Lige Ding, Dong Zhao, Mingzhe Cao, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 15, pp. 12150-12162
Closed Access | Times Cited: 11
SpeedAdv: Enabling Green Light Optimized Speed Advisory for Diverse Traffic Lights
Lige Ding, Dong Zhao, Boqing Zhu, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 5, pp. 6258-6271
Closed Access | Times Cited: 4
Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review
Ahmad Alrawashdeh, Saeed Alqahtani, Zaid I. Alkhatib, et al.
Prehospital and Disaster Medicine (2024), pp. 1-11
Open Access | Times Cited: 1
Scalable policies for the dynamic traveling multi-maintainer problem with alerts
Peter Verleijsdonk, Willem van Jaarsveld, Stella Kapodistria
European Journal of Operational Research (2024) Vol. 319, Iss. 1, pp. 121-134
Open Access | Times Cited: 1
RELight: a random ensemble reinforcement learning based method for traffic light control
Jianbin Huang, Qinglin Tan, Ruijie Qi, et al.
Applied Intelligence (2023) Vol. 54, Iss. 1, pp. 95-112
Closed Access | Times Cited: 3
Filling Delivery Time Automatically Based on Couriers' Trajectories
Sijie Ruan, Xi Fu, Cheng Long, et al.
IEEE Transactions on Knowledge and Data Engineering (2021), pp. 1-1
Closed Access | Times Cited: 7
Spatiotemporal representation learning for rescue route selection: An optimized regularization based method
Xiaolin Li, Xiaotong Niu, Guannan Liu
Electronic Commerce Research and Applications (2021) Vol. 48, pp. 101065-101065
Closed Access | Times Cited: 6
Time-Constrained Actor-Critic Reinforcement Learning for Concurrent Order Dispatch in On-demand Delivery
Shuai Wang, Baoshen Guo, Yi Ding, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 8, pp. 8175-8192
Closed Access | Times Cited: 2
Visual Analysis of Deep Q-network
Dewen Seng, Jiaming Zhang, Xiaoying Shi
KSII Transactions on Internet and Information Systems (2021) Vol. 15, Iss. 3
Open Access | Times Cited: 5
Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem
Michael Allen, Kerry Pearn, Thomas Monks
arXiv (Cornell University) (2021)
Open Access | Times Cited: 4
DeResolver
Yukun Yuan, Meiyi Ma, Songyang Han, et al.
(2021), pp. 98-109
Closed Access | Times Cited: 4
An Order Dispatch System Based on Reinforcement Learning for Ride Sharing Services
Zeqiang Chen, Peng Li, Junlei Xiao, et al.
(2020)
Closed Access | Times Cited: 4
Shortening passengers' travel time: A dynamic metro train scheduling approach using deep reinforcement learning
Zhaoyuan Wang, Zheyi Pan, Shun Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 3
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