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:
Predicting Ambulance Demand
Zhengyi Zhou, David S. Matteson
(2015), pp. 2297-2303
Open Access | Times Cited: 38
Zhengyi Zhou, David S. Matteson
(2015), pp. 2297-2303
Open Access | Times Cited: 38
Showing 1-25 of 38 citing articles:
Spatio-Temporal Data Mining
Gowtham Atluri, Anuj Karpatne, Vipin Kumar
ACM Computing Surveys (2018) Vol. 51, Iss. 4, pp. 1-41
Open Access | Times Cited: 383
Gowtham Atluri, Anuj Karpatne, Vipin Kumar
ACM Computing Surveys (2018) Vol. 51, Iss. 4, pp. 1-41
Open Access | Times Cited: 383
Spatiotemporal Data Clustering: A Survey of Methods
Zhi‐Cheng Shi, Lilian S.C. Pun‐Cheng
ISPRS International Journal of Geo-Information (2019) Vol. 8, Iss. 3, pp. 112-112
Open Access | Times Cited: 108
Zhi‐Cheng Shi, Lilian S.C. Pun‐Cheng
ISPRS International Journal of Geo-Information (2019) Vol. 8, Iss. 3, pp. 112-112
Open Access | Times Cited: 108
Deep Uncertainty Quantification
Bin Wang, Jie Lü, Zheng Yan, et al.
(2019), pp. 2087-2095
Open Access | Times Cited: 103
Bin Wang, Jie Lü, Zheng Yan, et al.
(2019), pp. 2087-2095
Open Access | Times Cited: 103
Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand Prediction
Adrian Lin, Andrew Fu Wah Ho, Kang Hao Cheong, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 11, pp. 4179-4179
Open Access | Times Cited: 40
Adrian Lin, Andrew Fu Wah Ho, Kang Hao Cheong, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 11, pp. 4179-4179
Open Access | Times Cited: 40
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
Zhaonan Wang, Tianqi Xia, Renhe Jiang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2021)
Closed Access | Times Cited: 36
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
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
A survey of data mining technology on electronic medical records
Wencheng Sun, Zhiping Cai, Fang Liu, et al.
(2017) Vol. 20, pp. 1-6
Closed Access | Times Cited: 38
Wencheng Sun, Zhiping Cai, Fang Liu, et al.
(2017) Vol. 20, pp. 1-6
Closed Access | Times Cited: 38
KDE-Track: An Efficient Dynamic Density Estimator for Data Streams
Abdulhakim A. Qahtan, Suojin Wang, Xiangliang Zhang
IEEE Transactions on Knowledge and Data Engineering (2016) Vol. 29, Iss. 3, pp. 642-655
Open Access | Times Cited: 36
Abdulhakim A. Qahtan, Suojin Wang, Xiangliang Zhang
IEEE Transactions on Knowledge and Data Engineering (2016) Vol. 29, Iss. 3, pp. 642-655
Open Access | Times Cited: 36
Predicting Emergency Medical Service Demand With Bipartite Graph Convolutional Networks
Ruidong Jin, Tianqi Xia, Xin Liu, et al.
IEEE Access (2021) Vol. 9, pp. 9903-9915
Open Access | Times Cited: 23
Ruidong Jin, Tianqi Xia, Xin Liu, et al.
IEEE Access (2021) Vol. 9, pp. 9903-9915
Open Access | Times Cited: 23
Data-driven forecasting for operational planning of emergency medical services
Paulo Abreu, Daniel Santos, Ana Paula Barbosa‐Póvoa
Socio-Economic Planning Sciences (2022) Vol. 86, pp. 101492-101492
Open Access | Times Cited: 15
Paulo Abreu, Daniel Santos, Ana Paula Barbosa‐Póvoa
Socio-Economic Planning Sciences (2022) Vol. 86, pp. 101492-101492
Open Access | Times Cited: 15
Forecasting the Demand for Emergency Medical Services
Krisjanis Steins, Niki Matinrad, Tobias Granberg
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2019)
Open Access | Times Cited: 25
Krisjanis Steins, Niki Matinrad, Tobias Granberg
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2019)
Open Access | Times Cited: 25
Predicting Melbourne ambulance demand using kernel warping
Zhengyi Zhou, David S. Matteson
The Annals of Applied Statistics (2016) Vol. 10, Iss. 4
Open Access | Times Cited: 22
Zhengyi Zhou, David S. Matteson
The Annals of Applied Statistics (2016) Vol. 10, Iss. 4
Open Access | Times Cited: 22
Estimation of the number of heat illness patients in eight metropolitan prefectures of Japan: Correlation with ambient temperature and computed thermophysiological responses
Akito Takada, Sachiko Kodera, Koji Suzuki, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 7
Akito Takada, Sachiko Kodera, Koji Suzuki, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 7
A nonseparable first-order spatiotemporal intensity for events on linear networks: An application to ambulance interventions
Andrea Gilardi, Riccardo Borgoni, Jorge Mateu
The Annals of Applied Statistics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 2
Andrea Gilardi, Riccardo Borgoni, Jorge Mateu
The Annals of Applied Statistics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 2
Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction
Zhaonan Wang, Renhe Jiang, Zekun Cai, et al.
(2021), pp. 2060-2069
Closed Access | Times Cited: 16
Zhaonan Wang, Renhe Jiang, Zekun Cai, et al.
(2021), pp. 2060-2069
Closed Access | Times Cited: 16
DeepMeshCity: A Deep Learning Model for Urban Grid Prediction
Chi Zhang, L. Cai, Meng Chen, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 6, pp. 1-26
Closed Access | Times Cited: 2
Chi Zhang, L. Cai, Meng Chen, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 6, pp. 1-26
Closed Access | Times Cited: 2
Modeling Metropolitan-Area Ambulance Mobility Under Blue Light Conditions
M. Poulton, Anastasios Noulas, David Weston, et al.
IEEE Access (2018) Vol. 7, pp. 1390-1403
Open Access | Times Cited: 15
M. Poulton, Anastasios Noulas, David Weston, et al.
IEEE Access (2018) Vol. 7, pp. 1390-1403
Open Access | Times Cited: 15
Towards Accurate Predictions and Causal ‘What-if’ Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand
Kasun Bandara, Christoph Bergmeir, Sam Campbell, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-10
Open Access | Times Cited: 14
Kasun Bandara, Christoph Bergmeir, Sam Campbell, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2020), pp. 1-10
Open Access | Times Cited: 14
A simulation-optimization approach for the facility location and vehicle assignment problem for firefighters using a loosely coupled spatio-temporal arrival process
Sebastian A. Rodriguez-Cartes, Rodrigo De la Fuente, Maichel M. Aguayo
Computers & Industrial Engineering (2021) Vol. 157, pp. 107242-107242
Closed Access | Times Cited: 11
Sebastian A. Rodriguez-Cartes, Rodrigo De la Fuente, Maichel M. Aguayo
Computers & Industrial Engineering (2021) Vol. 157, pp. 107242-107242
Closed Access | Times Cited: 11
SWS
Tsz Nam Chan, Pak Lon Ip, Leong Hou U, et al.
Proceedings of the VLDB Endowment (2021) Vol. 15, Iss. 4, pp. 814-827
Closed Access | Times Cited: 11
Tsz Nam Chan, Pak Lon Ip, Leong Hou U, et al.
Proceedings of the VLDB Endowment (2021) Vol. 15, Iss. 4, pp. 814-827
Closed Access | Times Cited: 11
WKNN-FDCNN method for big data driven traffic flow prediction in ITS
Ravikant Soni, Partha Roy, Kapil Kumar Nagwanshi
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 25261-25286
Closed Access | Times Cited: 4
Ravikant Soni, Partha Roy, Kapil Kumar Nagwanshi
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 25261-25286
Closed Access | Times Cited: 4
Resource allocation for handling emergencies considering dynamic variations and urban spaces
Vaibhav Kumar, Krithivasan Ramamritham, Arnab Jana
(2019), pp. 1-11
Closed Access | Times Cited: 9
Vaibhav Kumar, Krithivasan Ramamritham, Arnab Jana
(2019), pp. 1-11
Closed Access | Times Cited: 9
Real-Time Ambulance Redeployment: A Data-Driven Approach
Shenggong Ji, Yu Zheng, Wenjun Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2019) Vol. 32, Iss. 11, pp. 2213-2226
Closed Access | Times Cited: 8
Shenggong Ji, Yu Zheng, Wenjun Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2019) Vol. 32, Iss. 11, pp. 2213-2226
Closed Access | Times Cited: 8
Real-time optimization for relocation and dispatching of Emergency Medical Services with balanced workload and outsourced ride-hailing services
Yamil Essus, Rodrigo De la Fuente, Akshay Venkitasubramanian
Computers & Industrial Engineering (2023) Vol. 187, pp. 109823-109823
Closed Access | Times Cited: 2
Yamil Essus, Rodrigo De la Fuente, Akshay Venkitasubramanian
Computers & Industrial Engineering (2023) Vol. 187, pp. 109823-109823
Closed Access | Times Cited: 2
Prediction of Crime Hot Spots Using Spatiotemporal Ordinary Kriging
Shilpa S. Deshmukh, B. Annappa
Studies in computational intelligence (2018), pp. 683-691
Closed Access | Times Cited: 5
Shilpa S. Deshmukh, B. Annappa
Studies in computational intelligence (2018), pp. 683-691
Closed Access | Times Cited: 5
