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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 COVID-19 Spread from Large-Scale Mobility Data
Amray Schwabe, Joel Persson, Stefan Feuerriegel
(2021), pp. 3531-3539
Open Access | Times Cited: 23

Showing 23 citing articles:

Epidemic forecasting based on mobility patterns: an approach and experimental evaluation on COVID-19 Data
Maria Pia Canino, Eugenio Cesario, Andrea Vinci, et al.
Social Network Analysis and Mining (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 18
A Predict-Then-Optimize Couriers Allocation Framework for Emergency Last-mile Logistics
Kaiwen Xia, Lin Li, Shuai Wang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 5237-5248
Closed Access | Times Cited: 11
Human-centred artificial intelligence for mobile health sensing: challenges and opportunities
Ting Dang, Dimitris Spathis, Abhirup Ghosh, et al.
Royal Society Open Science (2023) Vol. 10, Iss. 11
Open Access | Times Cited: 8
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax
Yang Liu, Yu Rong, Zhuoning Guo, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 12, pp. 14347-14355
Open Access | Times Cited: 6
Multiwave COVID-19 Prediction from Social Awareness Using Web Search and Mobility Data
Jiawei Xue, Takahiro Yabe, Kota Tsubouchi, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 4279-4289
Open Access | Times Cited: 10
A Survey on Data-driven COVID-19 and Future Pandemic Management
Yudong Tao, Chuang Yang, Tianyi Wang, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 7, pp. 1-36
Closed Access | Times Cited: 9
Web Mining to Inform Locations of Charging Stations for Electric Vehicles
Philipp Hummler, Christof Naumzik, Stefan Feuerriegel
Companion Proceedings of the The Web Conference 2018 (2022), pp. 166-170
Open Access | Times Cited: 4
Autoregressive count data modeling on mobility patterns to predict cases of COVID-19 infection
Jing Zhao, Mengjie Han, Zhenwu Wang, et al.
Stochastic Environmental Research and Risk Assessment (2022) Vol. 36, Iss. 12, pp. 4185-4200
Open Access | Times Cited: 4
An Inner-Inter City Graph Neural Network for Predicting the Course of COVID-19 Cases
Moussa Ndiaye, Tong Liu, Yangguang Cui, et al.
Research Square (Research Square) (2024)
Open Access
Static graph approximations of dynamic contact networks for epidemic forecasting
Razieh Shirzadkhani, Shenyang Huang, Abby Leung, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Discovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study (Preprint)
Seong‐Ho Ahn, Kwangil Yim, Hyun-Sik Won, et al.
(2024)
Closed Access
Going Where, by Whom, and at What Time: Next Location Prediction Considering User Preference and Temporal Regularity
Tianao Sun, Ke Fu, Weiming Huang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 2784-2793
Closed Access
Discovering Time-Varying Public Interest for COVID-19 Case Prediction in South Korea Using Search Engine Queries: Infodemiology Study (Preprint)
Seong‐Ho Ahn, Kwangil Yim, Hyun-Sik Won, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e63476-e63476
Open Access
An Epidemic Trend Prediction Model with Multi-source Auxiliary Data
Benfeng Wang, Xiaohua He, Hang Lin, et al.
Lecture notes in computer science (2024), pp. 286-301
Closed Access
FROM MICRO TO MACRO: ESSAYS IN TEXTUAL ANALYSIS
LEONARDO CAIO DE LADALARDO MARTINS
(2022)
Open Access | Times Cited: 2
Forecasting Daily COVID-19 Case Counts Using Aggregate Mobility Statistics
Bulut Boru, Mehmet Emre Gürsoy
Data (2022) Vol. 7, Iss. 11, pp. 166-166
Open Access | Times Cited: 2
Exploiting mobility data to forecast Covid-19 spread
Maria Pia Canino, Eugenio Cesario, Andrea Vinci, et al.
2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) (2022), pp. 1-4
Closed Access | Times Cited: 1
Forecasting COVID-19 Dynamics: Clustering, Generalized Spatiotemporal Attention, and Impacts of Mobility and Geographic Proximity
Tong Shen, Yang Li, José M. F. Moura
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 2892-2904
Closed Access
Autoregressive count data modeling on mobility patterns to predict cases of COVID-19 infection
Jing Zhao, Mengjie Han, Zhenwu Wang, et al.
Research Square (Research Square) (2022)
Open Access
A Novel Graph Indexing Approach for Uncovering Potential COVID-19 Transmission Clusters
Xuliang Zhu, Xin Huang, Longxu Sun, et al.
ACM Transactions on Knowledge Discovery from Data (2022) Vol. 17, Iss. 2, pp. 1-24
Closed Access
Encouraging Crowd Avoidance Behavior using Dynamic Pricing Framework Towards Preventing the Spread of COVID-19
Keiichi Ochiai, Hiroyuki Satō, Hiroshi Kawakami, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 1661-1670
Closed Access
The Impacts of Mobility on Covid-19 Dynamics: Using Soft and Hard Data
Leonardo de Oliveira Martins, Marcelo C. Medeiros
arXiv (Cornell University) (2021)
Closed Access
Multiwave COVID-19 Prediction via Social Awareness-Based Graph Neural Networks using Mobility and Web Search Data (preprint)
Jiawei Xue, Takahiro Yabe, Kota Tsubouchi, et al.
(2021)
Closed Access
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