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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:

Predicting Ambulance Demand: a Spatio-Temporal Kernel Approach
Zhengyi Zhou, David S. Matteson
arXiv (Cornell University) (2015)
Open Access | Times Cited: 15

Showing 15 citing articles:

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
Spatio-Temporal Data Mining: A Survey of Problems and Methods
Gowtham Atluri, Anuj Karpatne, Vipin Kumar
arXiv (Cornell University) (2017)
Open Access | Times Cited: 70
A spatiotemporal attention mechanism-based model for multi-step citywide passenger demand prediction
Yirong Zhou, Jun Li, Hao Chen, et al.
Information Sciences (2019) Vol. 513, pp. 372-385
Closed Access | Times Cited: 50
Predicting demand for 311 non-emergency municipal services: An adaptive space-time kernel approach
Li Xu, Mei‐Po Kwan, Sara McLafferty, et al.
Applied Geography (2017) Vol. 89, pp. 133-141
Open Access | Times Cited: 34
Exploring spatiotemporal clusters based on extended kernel estimation methods
Jay Lee, Junfang Gong, Shengwen Li
International Journal of Geographical Information Science (2017) Vol. 31, Iss. 6, pp. 1154-1177
Closed Access | Times Cited: 28
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
Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting
Bin Wang, Jie Lü, Zheng Yan, et al.
arXiv (Cornell University) (2018)
Open Access | Times Cited: 17
Predicting Ambulance Demand: Challenges and Methods
Zhengyi Zhou
arXiv (Cornell University) (2016)
Open Access | Times Cited: 7
Towards a Unified Understanding of Data-Driven Support for Emergency Medical Service Logistics
Melanie Reuter-Oppermann, Clemens Wolff
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2020)
Open 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
Toward Benchmarking of Long-Term Spatio-Temporal Maps of Pedestrian Flows for Human-Aware Navigation
Tomáš Vintr, J. Blaha, Martin Rektoris, et al.
Frontiers in Robotics and AI (2022) Vol. 9
Open Access | Times Cited: 4
A multi-granularity perspective for spatial profiling of mobile apps
Yunhe Feng, Zheng Lu, Wenjun Zhou, et al.
Information Sciences (2017) Vol. 430-431, pp. 127-141
Open Access | Times Cited: 1
Data mining espaço-temporal dos suicídios nas cidades brasileiras.
Sheila Genesine Dada
(2023)
Open Access
Exploiting Population Activity Dynamics to Predict Urban Epidemiological Incidence
Gergana Todorova, Anastasios Noulas
arXiv (Cornell University) (2019)
Closed Access
Considerations for developing predictive models of crime and new methods for measuring their accuracy
Chaitanya Joshi, Clayton D’Ath, Sophie Curtis‐Ham, et al.
arXiv (Cornell University) (2020)
Closed Access
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