On the public citation graph
Inferred edges come from two machine sources: sweeps of open repository
metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is
labelled with the one it came from. Neither is a complete citation index — absence here is not
evidence of absence.
1 of the 41 references listed on this page is in the Retraction Watch database as retracted (export 2026-10-28): 10.1038/s41562-017-0132 (notice 2019-01-07).
Dataset join, best-effort; this page does not check the publisher record.
Retraction Watch data via Crossref Labs, used with credit; OpenCitations Index (CC0) and Meta (CC BY 4.0);
dataset doi:10.7910/DVN/WT8VOA (CC BY 4.0).
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated
CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.2196/jmir.1157openalex-snapshotInfodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s11071-023-08427-5openalex-snapshotComplexity of Government response to COVID-19 pandemic: a perspective of coupled dynamics on information heterogeneity and epidemic outbreak
inferred← citeshttps://doi.org/10.1016/j.asoc.2020.106613openalex-snapshotA novel extended approach under hesitant fuzzy sets to design a framework for assessing the key challenges of digital health interventions adoption during the COVID-19 outbreak
inferred← citeshttps://doi.org/10.1016/j.ipm.2021.102714openalex-snapshotInformation avoidance during health crises: Predictors of avoiding information about the COVID-19 pandemic among german news consumers
inferred← citeshttps://doi.org/10.1080/15323269.2021.1982258openalex-snapshotA Study of the Understanding of Patients Who Have Recovered from COVID-19: The Case of Civil Hospital Jhangi Wala, District Bahawalpur, Punjab, Pakistan
inferred← citeshttps://doi.org/10.1515/libri-2021-0048openalex-snapshotDisinformation and Its Negative Impact in the Changing World of Mass Media (Specifically Focused on the COVID-19 Pandemic in the Czech Republic)
inferred← citeshttps://doi.org/10.1561/1300000068openalex-snapshotContagion Source Detection in Epidemic and Infodemic Outbreaks: Mathematical Analysis and Network Algorithms
inferred← citeshttps://doi.org/10.18653/v1/2021.acl-srwopenalex-snapshotProceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop
inferred← citeshttps://doi.org/10.21203/rs.3.rs-60301/v1openalex-snapshotReal-time credible online health information inquiring: a novel search engine misinformation notifier extension (SEMiNExt) during COVID-19-like disease outbreak
inferred← citeshttps://doi.org/10.21203/rs.3.rs-60301/v2openalex-snapshotReal-time credible online health information inquiring: a novel search engine misinformation notifier extension (SEMiNExt) during COVID-19-like disease outbreak
inferred← citeshttps://doi.org/10.21673/anadoluklin.783596openalex-snapshotCOVID-19 Pandemisi Sırasında Sağlık Çalışanlarında Psikososyal Etkilenme ile İlişkili Risk Etkenleri ve Koruyucu Etkenler: Bir Sistematik Derleme
inferred← citeshttps://doi.org/10.2196/21597openalex-snapshotCollective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis
inferred← citeshttps://doi.org/10.2196/22280openalex-snapshotAdoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature
inferred← citeshttps://doi.org/10.3390/ijerph17228701openalex-snapshotSocial Bots’ Sentiment Engagement in Health Emergencies: A Topic-Based Analysis of the COVID-19 Pandemic Discussions on Twitter
inferred← citeshttps://doi.org/10.3855/jidc.17587openalex-snapshotAlbanian university students' knowledge, attitudes, and practices regarding COVID-19 infection and vaccine: A cross-sectional study
inferred← citeshttps://doi.org/10.4017/gt.2022.21.1.798.12openalex-snapshotUnderstanding the research landscape of information and communication technology integration in dementia-focused assistive technologies: Mining literature from 1970 to 2020
inferred← citeshttps://doi.org/10.48185/spda.v3i2.636openalex-snapshotDoctors’ Orders vs. Politicians’ Bafflegab: Analysis of Iranian President’s and Deputy Health Minister’s Speeches on the Coronavirus Pandemic
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID:
icsacinstitute.org/submit.