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

tawsifurrahman/covid19-radiography-database: papers linking to it

Kaggle · www.kaggle.com/datasets/tawsifurrahman/covid19-radiography-database

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Research papers in the 480 tracked journals that link to tawsifurrahman/covid19-radiography-database (https://www.kaggle.com/datasets/tawsifurrahman/covid19-radiography-database), 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#

  • 23 papers in the tracked journals link to the Kaggle dataset tawsifurrahman/covid19-radiography-database in their Crossref records, the first in 2021; most of them (9) in 2021.
  • By category: AI (22) and Information Systems (1); the journals with the most are Neural Computing and Applications (12), Cognitive Computation (3) and Expert Systems with Applications (3).
  • 2 of the papers build on one another: a later paper cites an earlier one that also links tawsifurrahman/covid19-radiography-database.

By year#

2021: 9 papers2022: 3 papers2023: 4 papers2024: 3 papers2025: 2 papers2026: 2 papers
20212026
Papers linking to tawsifurrahman/covid19-radiography-database by publication year
YearPapers
20219
20223
20234
20243
20252
20262

Journals#

Journals whose papers link to tawsifurrahman/covid19-radiography-database most
JournalPapers
Neural Computing and Applications12
Cognitive Computation3
Expert Systems with Applications3
Neural Networks1
Journal Of Big Data1

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 tawsifurrahman/covid19-radiography-database, most cited first
PublishedTitleJournalAuthorsCitationsLink
2021-03-15Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scansNature Machine IntelligenceMichael Roberts, Derek Driggs, Matthew Thorpe et al.1,045cites it
2024-06-12Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-ImagesExpert Systems with ApplicationsSatvik Vats, Vikrant Sharma, Karan Singh et al.392cites it
2021-01-29A survey on generative adversarial networks for imbalance problems in computer vision tasksJournal Of Big DataVignesh Sampath, Iñaki Maurtua, Juan José Aguilar Martín et al.262cites it
2021-01-19Efficient deep learning approach for augmented detection of Coronavirus diseaseNeural Computing and ApplicationsAhmed Sedik, Mohamed Adel Hammad, Fathi E. Abd El‐Samie et al.188cites it
2021-01-08COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-raysNeural Computing and ApplicationsRajeev Kumar Singh, Rohan Pandey, Rishie Nandhan Babu110cites it
2021-01-06COV19-CNNet and COV19-ResNet: Diagnostic Inference Engines for Early Detection of COVID-19Cognitive ComputationAytürk Keleş, Mustafa Berk Keles, Mustafa Berk Keles et al.73cites it
2023-03-17Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray imagesExpert Systems with ApplicationsHaval Ismael Hussein, Abdulhakeem O. Mohammed, Masoud Muhammed Hassan et al.70cites it
2022-12-28COVID-19 Detection: A Systematic Review of Machine and Deep Learning-Based Approaches Utilizing Chest X-Rays and CT ScansCognitive ComputationKirti Raj Bhatele, Anand Jha, Devanshu Tiwari et al.53cites 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
2021-03-02Deep Learning–Driven Automated Detection of COVID-19 from Radiography Images: a Comparative AnalysisCognitive ComputationSejuti Rahman, Sujan Chandra Sarker, Md Abdullah Al Miraj et al.48cites it
2021-02-25Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networksNeural Computing and ApplicationsKapal Dev, Sunder Ali Khowaja, Ankur Singh Bist et al.37cites it
2021-04-29A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-raysNeural Computing and ApplicationsFouzia Altaf, Syed Mohammed Shamsul Islam, Naeem Khalid Janjua37cites it
2023-02-20Evaluation of EfficientNet models for COVID-19 detection using lung parenchymaNeural Computing and ApplicationsZühal Kurt, Şahin Işık, Zeynep Kaya et al.31cites it
2022-01-08Classification of Covid-19 chest X-ray images by means of an interpretable evolutionary rule-based approachNeural Computing and ApplicationsIvanoe De Falco, Giuseppe De Pietro, Giovanna Sannino26cites it
2023-01-24Lightweight ResGRU: a deep learning-based prediction of SARS-CoV-2 (COVID-19) and its severity classification using multimodal chest radiography imagesNeural Computing and ApplicationsMughees Ahmad, Usama Ijaz Bajwa, Yasar Mehmood et al.20cites it
2024-02-19Adapting transfer learning models to dataset through pruning and Avg-TopK poolingNeural Computing and ApplicationsCüneyt Özdemir19cites it
2022-07-19A Review Study of the Deep Learning Techniques used for the Classification of Chest Radiological Images for COVID-19 DiagnosisInternational Journal of Information Management Data InsightsYu Wang, Carol Anne Hargreaves17cites it
2025-04-26Efficient and lightweight CNN model for COVID-19 diagnosis from CT and X-ray images using customized pruning and quantization techniquesNeural Computing and ApplicationsNattavut Sriwiboon14cites it
2023-07-24Online diagnosis of COVID-19 from chest radiography images by using deep learning algorithmsNeural Computing and ApplicationsCafer Budak, Vasfiye Mençik, Osman Varışlı5cites it
2024-01-23A novel hybridization approach to improve the critical distance clustering algorithm: Balancing speed and qualityExpert Systems with ApplicationsFarag Hamed Kuwil, Ümit Atila2cites it
2026-05-01Optimized deep neural network for improved lung disease classificationNeural Computing and ApplicationsMohamed H. Saad, Wessam S. ElAraby, Basem M. ElHalawany et al.1cites it
2025-10-31A different perspective on the diagnosis of COVID-19 disease with the developed quadstar local binary pattern methodNeural Computing and ApplicationsMehmet Gül0cites it
2026-01-29An interactive axial feature selection network for medical image classificationNeural NetworksShuai Pang, Chunhua Hu, Juan Zhao et al.0cites 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). tawsifurrahman/covid19-radiography-database: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-tawsifurrahman-covid19-radiography-database

@misc{scholar4ai-code-kaggle-tawsifurrahman-covid19-radiography-database,
  author = {{Scholar4AI}},
  title = {tawsifurrahman/covid19-radiography-database: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-tawsifurrahman-covid19-radiography-database}},
  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).