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

ieee8023/covid-chestxray-dataset: papers linking to it

GitHub · 3,064 stars · 1,275 forks · Jupyter Notebook · created 2020 · github.com/ieee8023/covid-chestxray-dataset

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Research papers in the 480 tracked journals that link to ieee8023/covid-chestxray-dataset (https://github.com/ieee8023/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.

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Key findings#

  • 36 papers in the tracked journals link to the GitHub repository ieee8023/covid-chestxray-dataset in their Crossref records, the first in 2020; most of them (16) in 2021.
  • By category: AI (32) and Information Systems (4); the journals with the most are Expert Systems with Applications (8), Applied Intelligence (7) and Neural Computing and Applications (6).
  • 16 of the papers build on one another: a later paper cites an earlier one that also links ieee8023/covid-chestxray-dataset.

By year#

2020: 6 papers2021: 16 papers2022: 6 papers2023: 5 papers2024: 2 papers2025: 1 paper
20202025
Papers linking to ieee8023/covid-chestxray-dataset by publication year
YearPapers
20206
202116
20226
20235
20242
20251

Journals#

Journals whose papers link to ieee8023/covid-chestxray-dataset most
JournalPapers
Expert Systems with Applications8
Applied Intelligence7
Neural Computing and Applications6
Cognitive Computation5
Pattern Recognition3

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 ieee8023/covid-chestxray-dataset, most cited first
PublishedTitleJournalAuthorsCitationsLink
2020-09-28Deep learning approaches for COVID-19 detection based on chest X-ray imagesExpert Systems with ApplicationsAras Masood Ismael, Abdulkadir Şengür748cites it
2021-05-31AI for radiographic COVID-19 detection selects shortcuts over signalNature Machine IntelligenceAlex J. DeGrave, Joseph D. Janizek, Su‐In Lee631cites 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
2020-08-20Deep transfer learning-based automated detection of COVID-19 from lung CT scan slicesApplied IntelligenceSakshi Ahuja, Bijaya Ketan Panigrahi, Nilanjan Dey et al.380cites it
2020-08-26Coronavirus disease (COVID-19) detection in Chest X-Ray images using majority voting based classifier ensembleExpert Systems with ApplicationsTej Bahadur Chandra, Kesari Verma, Bikesh Kumar Singh et al.278cites it
2020-10-17MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patientsPattern RecognitionMohammad Shorfuzzaman, M. Shamim Hossain217cites it
2021-04-26The Role of Artificial Intelligence in Fighting the COVID-19 PandemicInformation Systems FrontiersFrancesco Piccialli, Vincenzo Schiano Di Cola, Fabio Giampaolo et al.143cites it
2020-11-27An automatic approach based on CNN architecture to detect Covid-19 disease from chest X-ray imagesApplied IntelligenceSwati Hira, Anita Bai, Sanchit Hira111cites it
2021-06-15FedDPGAN: Federated Differentially Private Generative Adversarial Networks Framework for the Detection of COVID-19 PneumoniaInformation Systems FrontiersLongling Zhang, Bochen Shen, Ahmed Barnawi et al.111cites it
2021-05-03Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray imagesExpert Systems with ApplicationsAdi Alhudhaif, Kemal Polat, Onur Karaman98cites it
2021-03-04COVID-19 Infection Detection from Chest X-Ray Images Using Hybrid Social Group Optimization and Support Vector ClassifierCognitive ComputationAsu Kumar Singh, Anupam Kumar, Mufti Mahmud et al.96cites it
2022-01-05Inverted bell-curve-based ensemble of deep learning models for detection of COVID-19 from chest X-raysNeural Computing and ApplicationsAshis Paul, Arpan Basu, Mufti Mahmud et al.82cites it
2021-09-10A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computingNeural Computing and ApplicationsNidal Nasser, Emad-ul-Haq Qazi, Muhammad Ali Imran et al.75cites it
2021-02-15Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19Expert Systems with ApplicationsPlácido L. Vidal, Joaquim de Moura, Jorge Novo et al.74cites it
2023-05-27Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19Expert Systems with ApplicationsMd. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan et al.74cites it
2021-06-22Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoostExpert Systems with ApplicationsDomingos Dias, Luana Batista da Cruz, João Otávio Bandeira Diniz et al.69cites it
2021-02-02Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detectionApplied IntelligenceMainak Chakraborty, Sunita Dhavale, Jitendra Ingole56cites it
2022-06-06Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR imagesPattern RecognitionAjay Sharma, Pramod Kumar Mishra56cites 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
2021-01-23A new clustering method for the diagnosis of CoVID19 using medical imagesApplied IntelligenceHimanshu Mittal, Avinash Chandra Pandey, Raju Pal et al.44cites it
2022-04-27RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray imagesExpert Systems with ApplicationsEl‐Sayed A. El‐Dahshan, Mahmoud M. Bassiouni, Ahmed Hagag et al.42cites 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
2025-03-17Explainable AI reveals Clever Hans effects in unsupervised learning modelsNature Machine IntelligenceJacob Kauffmann, Jonas Dippel, Lukas Ruff et al.35cites it
2020-11-04A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networksApplied IntelligenceHüseyin Yaşar, Murat Ceylan33cites it
2021-11-25Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT imagesPattern RecognitionHaigen Hu, Leizhao Shen, Qiu Guan et al.32cites 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
2023-04-21Explanatory Interactive Machine LearningBusiness & Information Systems EngineeringNicolas Pfeuffer, Lorenz Baum, Wolfgang Stammer et al.28cites it
2023-06-14Capsule networks for computer vision applications: a comprehensive reviewApplied IntelligenceSeema Choudhary, Sumeet Saurav, Ravi Saini et al.23cites it
2023-11-20An integrated convolutional neural network with attention guidance for improved performance of medical image classificationNeural Computing and ApplicationsCoşku Öksüz, Oğuzhan Urhan, M. Kemal Güllü23cites it
2021-12-16An Integrated Deep Learning and Belief Rule Base Intelligent System to Predict Survival of COVID-19 Patient under UncertaintyCognitive ComputationTawsin Uddin Ahmed, Mohammad Newaj Jamil, Mohammad Shahadat Hossain et al.21cites 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
2022-05-17Joint design and compression of convolutional neural networks as a Bi-level optimization problemNeural Computing and ApplicationsHassen Louati, Slim Bechikh, Ali Louati et al.16cites it
2021-07-15Deep Learning–Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT ImagesCognitive ComputationHüseyin Yaşar, Murat Ceylan15cites it
2024-10-24SoftLungX: leveraging transfer learning with convolutional neural networks for accurate respiratory disease classification in chest X-ray imagesJournal Of Big DataTijana Geroski, Ognjen Pavić, Lazar Dašić et al.5cites 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). ieee8023/covid-chestxray-dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-ieee8023-covid-chestxray-dataset

@misc{scholar4ai-code-github-ieee8023-covid-chestxray-dataset,
  author = {{Scholar4AI}},
  title = {ieee8023/covid-chestxray-dataset: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-ieee8023-covid-chestxray-dataset}},
  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).