---
title: "CSSEGISandData/COVID-19: papers citing it"
description: "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."
url: https://scholar4ai.com/code/github-cssegisanddata-covid-19
markdown_url: https://scholar4ai.com/code/github-cssegisanddata-covid-19.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# CSSEGISandData/COVID-19: papers linking to it

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.

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

All repositories: https://scholar4ai.com/code.md

## 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

*Papers linking to CSSEGISandData/COVID-19 by publication year*

| Year | Papers |
|---|---:|
| 2020 | 7 |
| 2021 | 10 |
| 2022 | 2 |
| 2023 | 2 |
| 2026 | 1 |

## Journals

*Journals whose papers link to CSSEGISandData/COVID-19 most*

| Journal | Papers |
|---|---:|
| [Journal of Public Health Policy](https://scholar4ai.com/journals/journal-of-public-health-policy.md) | 2 |
| [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | 2 |
| [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 2 |
| [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 2 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic](https://doi.org/10.1016/j.trc.2020.102955) (Transportation Research Part C Emerging Technologies, 2021)
  - [Big data insight on global mobility during the Covid-19 pandemic lockdown](https://doi.org/10.1186/s40537-021-00474-2) (Journal Of Big Data, 2021) — cites the paper above
  - [Dynamic activity chain pattern estimation under mobility demand changes during COVID-19](https://doi.org/10.1016/j.trc.2021.103361) (Transportation Research Part C Emerging Technologies, 2021) — cites the paper above

## Papers

*Papers linking to CSSEGISandData/COVID-19, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-03-01 | [Modality specific U-Net variants for biomedical image segmentation: a survey](https://doi.org/10.1007/s10462-022-10152-1) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Narinder Singh Punn, Sonali Agarwal | 249 | cites it |
| 2022-01-28 | [Estimating and simulating a SIRD Model of COVID-19 for many countries, states, and cities](https://doi.org/10.1016/j.jedc.2022.104318) | [Journal of Economic Dynamics and Control](https://scholar4ai.com/journals/journal-of-economic-dynamics-and-control.md) | Jesús Fernández-Villaverde, Charles I. Jones | 174 | cites it |
| 2021-01-12 | [A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic](https://doi.org/10.1016/j.trc.2020.102955) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | Songhua Hu, Chenfeng Xiong, Mofeng Yang et al. | 170 | cites it |
| 2020-09-04 | [Evolution and early government responses to COVID-19 in South America](https://doi.org/10.1016/j.worlddev.2020.105180) | [World Development](https://scholar4ai.com/journals/world-development.md) | Bastián González‐Bustamante | 113 | cites it |
| 2020-10-23 | [Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression model](https://doi.org/10.1007/s10489-020-01942-7) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Mohd Saqib | 76 | cites it |
| 2021-04-26 | [The sharing of research data facing the COVID-19 pandemic](https://doi.org/10.1007/s11192-021-03971-6) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Rut Lucas-Domínguez, Adolfo Alonso‐Arroyo, Antonio Vidal‐Infer et al. | 56 | cites it |
| 2021-12-09 | [God is in the rain: The impact of rainfall-induced early social distancing on COVID-19 outbreaks](https://doi.org/10.1016/j.jhealeco.2021.102575) | [Journal of Health Economics](https://scholar4ai.com/journals/journal-of-health-economics.md) | Ajay Shenoy, Bhavyaa Sharma, Guanghong Xu et al. | 55 | cites it |
| 2021-01-06 | [Intelligent system for COVID-19 prognosis: a state-of-the-art survey](https://doi.org/10.1007/s10489-020-02102-7) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | Janmenjoy Nayak, Bighnaraj Naik, Paidi Dinesh et al. | 51 | cites it |
| 2020-09-28 | [COVID-19 and Employment: Insights from the Sub-Saharan African Experience](https://doi.org/10.1007/s41027-020-00251-4) | [Indian Journal of Labour Economics](https://scholar4ai.com/journals/indian-journal-of-labour-economics.md) | Michael Danquah, Simone Schotte, Kunal Sen A | 48 | cites it |
| 2020-11-12 | [A COVID-19 forecasting system using adaptive neuro-fuzzy inference](https://doi.org/10.1016/j.frl.2020.101844) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | Kim Tien Ly | 39 | cites it |
| 2020-10-01 | [The forgotten numbers: A closer look at COVID-19 non-fatal valuations](https://doi.org/10.1007/s11166-020-09339-0) | [Journal of Risk and Uncertainty](https://scholar4ai.com/journals/journal-of-risk-and-uncertainty.md) | Thomas J. Kniesner, Ryan S. Sullivan | 37 | cites it |
| 2021-06-02 | [Big data insight on global mobility during the Covid-19 pandemic lockdown](https://doi.org/10.1186/s40537-021-00474-2) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Adam Sadowski, Zbigniew Galar, Robert Walasek et al. | 34 | cites it |
| 2021-09-13 | [Stock Prices and Economic Activity in the Time of Coronavirus](https://doi.org/10.1057/s41308-021-00146-4) | [IMF Economic Review](https://scholar4ai.com/journals/imf-economic-review.md) | Steven J. Davis, Dingqian Liu, Xuguang Simon Sheng | 34 | cites it |
| 2021-06-03 | [Data Analysis and Forecasting of the COVID-19 Spread: A Comparison of Recurrent Neural Networks and Time Series Models](https://doi.org/10.1007/s12559-021-09885-y) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Daniela A. Gomez-Cravioto, Ramon E. Diaz-Ramos, Francisco J. Cantú-Ortiz et al. | 32 | cites it |
| 2021-08-25 | [Dynamic activity chain pattern estimation under mobility demand changes during COVID-19](https://doi.org/10.1016/j.trc.2021.103361) | [Transportation Research Part C Emerging Technologies](https://scholar4ai.com/journals/transportation-research-part-c-emerging-technologies.md) | Yan Liu, Lu Carol Tong, Xi Zhu et al. | 27 | cites it |
| 2021-07-07 | [The forecast of COVID-19 spread risk at the county level](https://doi.org/10.1186/s40537-021-00491-1) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Murtadha D. Hssayeni, Arjuna Chala, Roger Dev et al. | 25 | cites it |
| 2021-07-16 | [Prediction of global spread of COVID-19 pandemic: a review and research challenges](https://doi.org/10.1007/s10462-021-09988-w) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Saloni A. Shah, Aos Mulahuwaish, Kayhan Zrar Ghafoor et al. | 19 | cites it |
| 2020-10-12 | [The value of COVID-19 tests in Latin America](https://doi.org/10.1016/j.ehb.2020.100931) | [Economics & Human Biology](https://scholar4ai.com/journals/economics-human-biology.md) | Jennifer M. Trudeau, Jessica Alicea-Planas, William F. Vásquez | 11 | cites it |
| 2020-09-28 | [Application of state law in the public health emergency response to COVID-19: an example from Delaware in the United States](https://doi.org/10.1057/s41271-020-00257-8) | [Journal of Public Health Policy](https://scholar4ai.com/journals/journal-of-public-health-policy.md) | Neal D. Goldstein, Joanna S. Suder | 8 | cites it |
| 2023-03-30 | [Geo-epidemiological approach of the COVID-19 pandemic in France and in Europe for public health policies](https://doi.org/10.1057/s41271-023-00402-z) | [Journal of Public Health Policy](https://scholar4ai.com/journals/journal-of-public-health-policy.md) | Alexandre Vallée | 4 | cites it |
| 2023-05-17 | [Local and regional factors of spatial differentiation of the excess mortality related to the COVID-19 pandemic in Romania](https://doi.org/10.1007/s12076-023-00340-0) | [Letters in Spatial and Resource Sciences](https://scholar4ai.com/journals/letters-in-spatial-and-resource-sciences.md) | Alexandru Bănică, Ionel Muntele | 4 | cites it |
| 2026-03-01 | [Universal COVID-19 time series patterns model for confirmed and death cases forecasting using transfer learning](https://doi.org/10.1007/s00521-026-11873-y) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Paisit Khanarsa, Satanat Kitsiranuwat | 0 | cites 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).