Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

Chest X-ray (CheXpert, ChestX-ray14)

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data category: Medical and clinical datasets · 0 papers in the last 7 days

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Clinical records, medical images and physiological signals used in medical machine learning.

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Names searched for: CheXpert, ChestX-ray14, ChestX-ray8, NIH Chest X-ray

Key findings#

  • From Nov 2023 to Oct 2026, 84 archived papers mentioned Chest X-ray (CheXpert, ChestX-ray14) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Sep 2026 (6).
  • Chest X-ray (CheXpert, ChestX-ray14) was mentioned in 2 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #127 of the 246 datasets mentioned.
  • By journal category: AI (2).
  • Most of them appeared in Artificial Intelligence Review (2).
  • From 2017 to 2026 (so far), Chest X-ray (CheXpert, ChestX-ray14) was mentioned in 96 papers in the tracked journals, most of them in AI (93), statistics (1) and information systems (1).
  • 28 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Hong Kong University of Science and Technology (4), Shanghai Artificial Intelligence Laboratory (4) and Carnegie Mellon University (3).
  • The journals publishing most of them were Artificial Intelligence Review (13), IEEE Transactions on Pattern Analysis and Machine Intelligence (12) and Pattern Recognition (9).
  • The most-cited of them is “Federated learning for medical image analysis: A survey” (Pattern Recognition, 2024), with 522 citations.
  • Papers use Chest X-ray (CheXpert, ChestX-ray14) most often with ImageNet (35), MIMIC (29) and Kaggle (17); it has 24 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
21342984

Papers per year#

2017: 0 papers2018: 1 paper2019: 1 paper2020: 2 papers2021: 0 papers2022: 5 papers2023: 7 papers2024: 24 papers2025: 28 papers2026 (so far): 28 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI0112057242726
Statistics0000000001
Information Systems0000000010
Operations Research0000000001
All categories0112057242828

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Hong Kong University of Science and Technology4
2Shanghai Artificial Intelligence Laboratory4
3Carnegie Mellon University3
4Hong Kong Polytechnic University3
5National University of Singapore3
6Northwestern Polytechnical University3
7ShanghaiTech University3
8Tsinghua University3
9Ain Shams University2
10Brown University2
Countries with the most papers, since 2023
#CountryPapers
1China31
2United States25
3Australia12
4United Kingdom12
5Hong Kong10
6India9
7Germany6
8South Korea5
9Singapore5
10Egypt4
Keywords with the most papers, since 2023
#KeywordPapers
1CheXpert10
2medical image analysis10
3medical image classification10
4chest radiography9
5explainable AI8
6clinical decision support7
7interpretability7
8MIMIC-CXR6
9chest X-ray classification6
10convolutional neural networks6

Most-cited papers#

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use Chest X-ray (CheXpert, ChestX-ray14) most often with ImageNet (35), MIMIC (29) and Kaggle (17); it has 24 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →

What papers use Chest X-ray (CheXpert, ChestX-ray14) together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
ImageNetDataset357.4
MIMICDataset2942.8
KaggleDataset1714.7
CIFAR-10 / CIFAR-100Dataset145.0
MNIST / Fashion-MNISTDataset125.4
BraTSDataset1018.3
ADNIDataset816.3
Hugging Face HubDataset77.5
WikipediaDataset73.4
Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers)Dataset613.1
MS COCODataset63.2
ISIC skin lesion archiveDataset525.7
Papers mentioning Chest X-ray (CheXpert, ChestX-ray14) in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-23Retrieval-augmented generation in biomedicine: a survey of technologies, datasets, and clinical applicationsArtificial Intelligence ReviewJiawei He, Boya Zhang, Hossein Rouhizadeh et al.University of Geneva; Hunan City University; Henan University; …
2026-10-20Adaptation of foundation models in medical image analysis: mechanisms, evidence, and deployment considerationsArtificial Intelligence ReviewKarma Phuntsho, Abdullah, Kyungmi Lee et al.James Cook University
Cite this page

Scholar4AI. (2026). Chest X-ray (CheXpert, ChestX-ray14). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/chest-x-ray-chexpert-chestx-ray14

@misc{scholar4ai-datasets-chest-x-ray-chexpert-chestx-ray14,
  author = {{Scholar4AI}},
  title = {Chest X-ray (CheXpert, ChestX-ray14)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/chest-x-ray-chexpert-chestx-ray14}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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