Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

CSSEGISandData/COVID-19: papers linking to it

GitHub · 28,878 stars · 17,859 forks · created 2020 · archived · github.com/CSSEGISandData/COVID-19

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Research papers in the 480 tracked journals that link to CSSEGISandData/COVID-19 (https://github.com/CSSEGISandData/COVID-19), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

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Key findings#

  • 22 papers in the tracked journals link to the GitHub repository CSSEGISandData/COVID-19 in their Crossref records, the first in 2020; most of them (10) in 2021.
  • By category: AI (8), Economics (6) and Health Economics and Policy (4); the journals with the most are Journal of Public Health Policy (2), Transportation Research Part C Emerging Technologies (2) and Artificial Intelligence Review (2).
  • 3 of the papers build on one another: a later paper cites an earlier one that also links CSSEGISandData/COVID-19.

By year#

2020: 7 papers2021: 10 papers2022: 2 papers2023: 2 papers2026: 1 paper
20202026
Papers linking to CSSEGISandData/COVID-19 by publication year
YearPapers
20207
202110
20222
20232
20261

Journals#

Journals whose papers link to CSSEGISandData/COVID-19 most
JournalPapers
Journal of Public Health Policy2
Transportation Research Part C Emerging Technologies2
Artificial Intelligence Review2
Journal Of Big Data2
Applied Intelligence2

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Papers linking to CSSEGISandData/COVID-19, most cited first
PublishedTitleJournalAuthorsCitationsLink
2022-03-01Modality specific U-Net variants for biomedical image segmentation: a surveyArtificial Intelligence ReviewNarinder Singh Punn, Sonali Agarwal249cites it
2022-01-28Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and citiesJournal of Economic Dynamics and ControlJesús Fernández-Villaverde, Charles I. Jones174cites it
2021-01-12A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemicTransportation Research Part C Emerging TechnologiesSonghua Hu, Chenfeng Xiong, Mofeng Yang et al.170cites it
2020-09-04Evolution and early government responses to COVID-19 in South AmericaWorld DevelopmentBastián González‐Bustamante113cites it
2020-10-23Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression modelApplied IntelligenceMohd Saqib76cites it
2021-04-26The sharing of research data facing the COVID-19 pandemicScientometricsRut Lucas-Domínguez, Adolfo Alonso‐Arroyo, Antonio Vidal‐Infer et al.56cites it
2021-12-09God is in the rain: The impact of rainfall-induced early social distancing on COVID-19 outbreaksJournal of Health EconomicsAjay Shenoy, Bhavyaa Sharma, Guanghong Xu et al.55cites it
2021-01-06Intelligent system for COVID-19 prognosis: a state-of-the-art surveyApplied IntelligenceJanmenjoy Nayak, Bighnaraj Naik, Paidi Dinesh et al.51cites it
2020-09-28COVID-19 and Employment: Insights from the Sub-Saharan African ExperienceIndian Journal of Labour EconomicsMichael Danquah, Simone Schotte, Kunal Sen A48cites it
2020-11-12A COVID-19 forecasting system using adaptive neuro-fuzzy inferenceFinance research lettersKim Tien Ly39cites it
2020-10-01The forgotten numbers: A closer look at COVID-19 non-fatal valuationsJournal of Risk and UncertaintyThomas J. Kniesner, Ryan S. Sullivan37cites it
2021-06-02Big data insight on global mobility during the Covid-19 pandemic lockdownJournal Of Big DataAdam Sadowski, Zbigniew Galar, Robert Walasek et al.34cites it
2021-09-13Stock Prices and Economic Activity in the Time of CoronavirusIMF Economic ReviewSteven J. Davis, Dingqian Liu, Xuguang Simon Sheng34cites it
2021-06-03Data Analysis and Forecasting of the COVID-19 Spread: A Comparison of Recurrent Neural Networks and Time Series ModelsCognitive ComputationDaniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Francisco J. Cantú-Ortiz et al.32cites it
2021-08-25Dynamic activity chain pattern estimation under mobility demand changes during COVID-19Transportation Research Part C Emerging TechnologiesYan Liu, Lu Carol Tong, Xi Zhu et al.27cites it
2021-07-07The forecast of COVID-19 spread risk at the county levelJournal Of Big DataMurtadha D. Hssayeni, Arjuna Chala, Roger Dev et al.25cites it
2021-07-16Prediction of global spread of COVID-19 pandemic: a review and research challengesArtificial Intelligence ReviewSaloni A. Shah, Aos Mulahuwaish, Kayhan Zrar Ghafoor et al.19cites it
2020-10-12The value of COVID-19 tests in Latin AmericaEconomics & Human BiologyJennifer M. Trudeau, Jessica Alicea-Planas, William F. Vásquez11cites it
2020-09-28Application of state law in the public health emergency response to COVID-19: an example from Delaware in the United StatesJournal of Public Health PolicyNeal D. Goldstein, Joanna S. Suder8cites it
2023-03-30Geo-epidemiological approach of the COVID-19 pandemic in France and in Europe for public health policiesJournal of Public Health PolicyAlexandre Vallée4cites it
2023-05-17Local and regional factors of spatial differentiation of the excess mortality related to the COVID-19 pandemic in RomaniaLetters in Spatial and Resource SciencesAlexandru Bănică, Ionel Muntele4cites it
2026-03-01Universal COVID-19 time series patterns model for confirmed and death cases forecasting using transfer learningNeural Computing and ApplicationsPaisit Khanarsa, Satanat Kitsiranuwat0cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). CSSEGISandData/COVID-19: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-cssegisanddata-covid-19

@misc{scholar4ai-code-github-cssegisanddata-covid-19,
  author = {{Scholar4AI}},
  title = {CSSEGISandData/COVID-19: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-cssegisanddata-covid-19}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).