--- title: "agchung/Actualmed-COVID-chestxray-dataset" description: "8 papers in the tracked journals link to the GitHub repository agchung/Actualmed-COVID-chestxray-dataset in their Crossref records, the first in 2021; most of them (5) in 2021." url: https://scholar4ai.com/code/github-agchung-actualmed-covid-chestxray-dataset markdown_url: https://scholar4ai.com/code/github-agchung-actualmed-covid-chestxray-dataset.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "8 papers in the tracked journals link to the GitHub repository agchung/Actualmed-COVID-chestxray-dataset in their Crossref records, the first in 2021; most of them (5) 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) --- # agchung/Actualmed-COVID-chestxray-dataset: papers linking to it Research papers in the 480 tracked journals that link to agchung/Actualmed-COVID-chestxray-dataset (https://github.com/agchung/Actualmed-COVID-chestxray-dataset), 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 - 21 stars - 17 forks - created 2020 - https://github.com/agchung/Actualmed-COVID-chestxray-dataset All repositories: https://scholar4ai.com/code.md ## Key findings - 8 papers in the tracked journals link to the GitHub repository agchung/Actualmed-COVID-chestxray-dataset in their Crossref records, the first in 2021; most of them (5) in 2021. - By category: AI (8); the journals with the most are Neural Computing and Applications (5), Pattern Recognition (1) and Cognitive Computation (1). ## By year *Papers linking to agchung/Actualmed-COVID-chestxray-dataset by publication year* | Year | Papers | |---|---:| | 2021 | 5 | | 2023 | 1 | | 2024 | 1 | | 2026 | 1 | ## Journals *Journals whose papers link to agchung/Actualmed-COVID-chestxray-dataset most* | Journal | Papers | |---|---:| | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 5 | | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 1 | | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 1 | | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 | ## Papers *Papers linking to agchung/Actualmed-COVID-chestxray-dataset, most cited first* | Published | Title | Journal | Authors | Citations | Link | |---|---|---|---|---:|---| | 2024-06-12 | [Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images](https://doi.org/10.1016/j.eswa.2024.124464) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Satvik Vats, Vikrant Sharma, Karan Singh et al. | 392 | cites it | | 2021-08-25 | [SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network](https://doi.org/10.1016/j.patcog.2021.108255) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Aayush Kumar, Ayush R Tripathi, Suresh Chandra Satapathy et al. | 123 | cites it | | 2021-01-08 | [COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays](https://doi.org/10.1007/s00521-020-05636-6) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Rajeev Kumar Singh, Rohan Pandey, Rishie Nandhan Babu | 110 | cites it | | 2021-03-02 | [Deep Learning–Driven Automated Detection of COVID-19 from Radiography Images: a Comparative Analysis](https://doi.org/10.1007/s12559-020-09779-5) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Sejuti Rahman, Sujan Chandra Sarker, Md Abdullah Al Miraj et al. | 48 | cites it | | 2021-02-25 | [Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networks](https://doi.org/10.1007/s00521-020-05641-9) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Kapal Dev, Sunder Ali Khowaja, Ankur Singh Bist et al. | 37 | cites it | | 2021-04-29 | [A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays](https://doi.org/10.1007/s00521-021-06044-0) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Fouzia Altaf, Syed Mohammed Shamsul Islam, Naeem Khalid Janjua | 37 | cites it | | 2023-12-08 | [MLDC: multi-lung disease classification using quantum classifier and artificial neural networks](https://doi.org/10.1007/s00521-023-09207-3) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Riya Arora, G. V. Eswara Rao, Shashwati Banerjea et al. | 8 | cites it | | 2026-09-01 | [AI-driven techniques for thoracic disease classification in chest radiography: A comprehensive review and critical analysis](https://doi.org/10.1007/s00521-026-12457-6) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Yosra Didi, Ahlem Walha, Ali Wali | 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). agchung/Actualmed-COVID-chestxray-dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-agchung-actualmed-covid-chestxray-dataset ```bibtex @misc{scholar4ai-code-github-agchung-actualmed-covid-chestxray-dataset, author = {{Scholar4AI}}, title = {agchung/Actualmed-COVID-chestxray-dataset: papers linking to it}, year = {2026}, howpublished = {\url{https://scholar4ai.com/code/github-agchung-actualmed-covid-chestxray-dataset}}, 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/).