
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:
Generating synthetic population for simulating the spatiotemporal dynamics of epidemics
Kemin Zhu, Ling Yin, Kang Liu, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011810-e1011810
Open Access | Times Cited: 5
Kemin Zhu, Ling Yin, Kang Liu, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 2, pp. e1011810-e1011810
Open Access | Times Cited: 5
Showing 5 citing articles:
Estimating the two consecutive epidemic waves of SARS-CoV-2 Omicron in Shenzhen, China from November 2022 to July 2023: a modeling study based on multi-source surveillance and mobility data
Yepeng Shi, Qiuying Lv, Kemin Zhu, et al.
Advances in Continuous and Discrete Models (2025) Vol. 2025, Iss. 1
Open Access
Yepeng Shi, Qiuying Lv, Kemin Zhu, et al.
Advances in Continuous and Discrete Models (2025) Vol. 2025, Iss. 1
Open Access
A National Synthetic Populations Dataset for the United States
James Rineer, Nicholas Kruskamp, Caroline Kery, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
James Rineer, Nicholas Kruskamp, Caroline Kery, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Synthetic population generation with public health characteristics for spatial agent-based models
Emma Von Hoene, Amira Roess, Hamdi Kavak, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 3, pp. e1012439-e1012439
Open Access
Emma Von Hoene, Amira Roess, Hamdi Kavak, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 3, pp. e1012439-e1012439
Open Access
Synthetic data: how could it be used in infectious disease research?
Styliani-Christina Fragkouli, Dhwani Solanki, Leyla Jael Castro, et al.
Future Microbiology (2024) Vol. 19, Iss. 17, pp. 1439-1444
Closed Access | Times Cited: 1
Styliani-Christina Fragkouli, Dhwani Solanki, Leyla Jael Castro, et al.
Future Microbiology (2024) Vol. 19, Iss. 17, pp. 1439-1444
Closed Access | Times Cited: 1
SpatialzOSM: A Python package for supporting the explicit spatialization in the population synthesis process
Bladimir Toaza, Domokos Esztergár-Kiss
Software Impacts (2024), pp. 100724-100724
Closed Access
Bladimir Toaza, Domokos Esztergár-Kiss
Software Impacts (2024), pp. 100724-100724
Closed Access
Precognition of Known And Unknown Biothreats: A Risk-Based Approach
Romelito L. Lapitan
Vector-Borne and Zoonotic Diseases (2024) Vol. 24, Iss. 12, pp. 795-801
Closed Access
Romelito L. Lapitan
Vector-Borne and Zoonotic Diseases (2024) Vol. 24, Iss. 12, pp. 795-801
Closed Access