paultimothymooney/chest-xray-pneumonia: papers linking to it

Kaggle · www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia

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Research papers in the 480 tracked journals that link to paultimothymooney/chest-xray-pneumonia (https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia), 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.

Key findings#

24 papers in the tracked journals link to the Kaggle dataset paultimothymooney/chest-xray-pneumonia in their Crossref records, the first in 2020; most of them (7) in 2021.
By category: AI (22) and Information Systems (2); the journals with the most are Neural Computing and Applications (6), Expert Systems with Applications (5) and Applied Intelligence (4).
10 of the papers build on one another: a later paper cites an earlier one that also links paultimothymooney/chest-xray-pneumonia.

By year#

20202026

Papers linking to paultimothymooney/chest-xray-pneumonia by publication year
Year	Papers
2020	5
2021	7
2022	4
2023	3
2024	1
2025	2
2026	2

Journals#

Journals whose papers link to paultimothymooney/chest-xray-pneumonia most
Journal	Papers
Neural Computing and Applications	6
Expert Systems with Applications	5
Applied Intelligence	4
International Journal of Information Management Data Insights	2
Pattern Recognition	2

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.

Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices Applied Intelligence, 2020
- Feature selection of pre-trained shallow CNN using the QLESCA optimizer: COVID-19 detection as a case study Applied Intelligence, 2023 — cites the paper above
Deep learning approaches for COVID-19 detection based on chest X-ray images Expert Systems with Applications, 2020
- A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images Expert Systems with Applications, 2021 — cites the paper above
- RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images Expert Systems with Applications, 2022 — cites the paper above
- A Review Study of the Deep Learning Techniques used for the Classification of Chest Radiological Images for COVID-19 Diagnosis International Journal of Information Management Data Insights, 2022 — cites the paper above
CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia Information Processing & Management, 2020
- Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images Neural Computing and Applications, 2022 — cites the paper above
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans Nature Machine Intelligence, 2021
- AI-driven techniques for thoracic disease classification in chest radiography: A comprehensive review and critical analysis Neural Computing and Applications, 2026 — cites the paper above

Papers linking to paultimothymooney/chest-xray-pneumonia, most cited first
Published	Title	Journal	Authors	Citations	Link
2021-03-15	Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans	Nature Machine Intelligence	Michael Roberts, Derek Driggs, Matthew Thorpe et al.	1,045	cites it
2020-09-28	Deep learning approaches for COVID-19 detection based on chest X-ray images	Expert Systems with Applications	Aras Masood Ismael, Abdulkadir Şengür	748	cites it
2020-08-20	Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices	Applied Intelligence	Sakshi Ahuja, Bijaya Ketan Panigrahi, Nilanjan Dey et al.	380	cites it
2020-10-17	MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients	Pattern Recognition	Mohammad Shorfuzzaman, M. Shamim Hossain	217	cites it
2020-09-21	OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19	Applied Intelligence	Tripti Goel, R. Murugan, Seyedali Mirjalili et al.	178	cites it
2020-10-19	CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia	Information Processing & Management	Xiang Yu, Shuihua Wang‎, Yudong Zhang	109	cites it
2021-03-04	COVID-19 Infection Detection from Chest X-Ray Images Using Hybrid Social Group Optimization and Support Vector Classifier	Cognitive Computation	Asu Kumar Singh, Anupam Kumar, Mufti Mahmud et al.	96	cites it
2021-06-09	Optimization and fine-tuning of DenseNet model for classification of COVID-19 cases in medical imaging	International Journal of Information Management Data Insights	Tavishee Chauhan, Hemant Palivela, Sarveshmani Tiwari	95	cites it
2023-05-27	Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19	Expert Systems with Applications	Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan et al.	74	cites it
2021-06-12	A preliminary analysis of AI based smartphone application for diagnosis of COVID-19 using chest X-ray images	Expert Systems with Applications	Aravind Krishnaswamy Rangarajan, Hari Krishnan Ramachandran	61	cites it
2022-12-07	Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images	Neural Computing and Applications	J. Arun Prakash, Vinayakumar Ravi, V. Sowmya et al.	49	cites it
2021-03-02	Deep Learning–Driven Automated Detection of COVID-19 from Radiography Images: a Comparative Analysis	Cognitive Computation	Sejuti Rahman, Sujan Chandra Sarker, Md Abdullah Al Miraj et al.	48	cites it
2021-01-23	A new clustering method for the diagnosis of CoVID19 using medical images	Applied Intelligence	Himanshu Mittal, Avinash Chandra Pandey, Raju Pal et al.	44	cites it
2022-04-27	RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images	Expert Systems with Applications	El‐Sayed A. El‐Dahshan, Mahmoud M. Bassiouni, Ahmed Hagag et al.	42	cites it
2021-04-29	A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays	Neural Computing and Applications	Fouzia Altaf, Syed Mohammed Shamsul Islam, Naeem Khalid Janjua	37	cites it
2024-02-07	Self-supervised multi-task learning for medical image analysis	Pattern Recognition	Huihui Yu, Qun Dai	34	cites it
2022-07-21	A hybrid random forest deep learning classifier empowered edge cloud architecture for COVID-19 and pneumonia detection	Expert Systems with Applications	M. Hemalatha	29	cites it
2023-02-06	Feature selection of pre-trained shallow CNN using the QLESCA optimizer: COVID-19 detection as a case study	Applied Intelligence	Qusay Shihab Hamad, Hussein Samma, Shahrel Azmin Suandi	18	cites it
2022-07-19	A Review Study of the Deep Learning Techniques used for the Classification of Chest Radiological Images for COVID-19 Diagnosis	International Journal of Information Management Data Insights	Yu Wang, Carol Anne Hargreaves	17	cites it
2025-04-26	Efficient and lightweight CNN model for COVID-19 diagnosis from CT and X-ray images using customized pruning and quantization techniques	Neural Computing and Applications	Nattavut Sriwiboon	14	cites it
2023-12-08	MLDC: multi-lung disease classification using quantum classifier and artificial neural networks	Neural Computing and Applications	Riya Arora, G. V. Eswara Rao, Shashwati Banerjea et al.	8	cites it
2025-12-22	UniMedX: A Unified Kolmogorov-Arnold Theory Guided Framework for Interpretable Medical Image Classification and Segmentation	Knowledge-Based Systems	Ju Zhang, Mingyang Chen, Xuwei Xuan et al.	1	cites it
2026-05-01	Optimized deep neural network for improved lung disease classification	Neural Computing and Applications	Mohamed H. Saad, Wessam S. ElAraby, Basem M. ElHalawany et al.	1	cites it
2026-09-01	AI-driven techniques for thoracic disease classification in chest radiography: A comprehensive review and critical analysis	Neural Computing and Applications	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). paultimothymooney/chest-xray-pneumonia: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-paultimothymooney-chest-xray-pneumonia

@misc{scholar4ai-code-kaggle-paultimothymooney-chest-xray-pneumonia,
  author = {{Scholar4AI}},
  title = {paultimothymooney/chest-xray-pneumonia: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-paultimothymooney-chest-xray-pneumonia}},
  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).