---
title: "LIDC-IDRI: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 32 archived papers mentioned LIDC-IDRI in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2025 (6)."
url: https://scholar4ai.com/datasets/lidc-idri
markdown_url: https://scholar4ai.com/datasets/lidc-idri.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 32 archived papers mentioned LIDC-IDRI in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2025 (6). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# LIDC-IDRI

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/4.md)

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

- data category: Medical and clinical datasets
- 0 papers in the last 7 days
- Names searched for: LIDC-IDRI

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Medical and clinical datasets datasets: https://scholar4ai.com/datasets/medical-and-clinical-datasets.md



## Key findings

- From Nov 2023 to Oct 2026, 32 archived papers mentioned LIDC-IDRI in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Feb 2025 (6).
- No paper of the tracked journals mentioned LIDC-IDRI in the last 30 days (2026-10-07 to 2026-11-05).
- From 2017 to 2026 (so far), LIDC-IDRI was mentioned in 65 papers in the tracked journals, most of them in AI (65).
- 11 of them were published in 2025, against 2 in 2017.
- Since 2023, the institutions with the most of these papers were Northwestern Polytechnical University (2), University of Sharjah (2) and Aarhus University (1).
- The journals publishing most of them were Neural Computing and Applications (7), Expert Systems with Applications (6) and Artificial Intelligence Review (5).
- The most-cited of them is “Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT” (Information Fusion, 2017), with 286 citations.
- Papers use LIDC-IDRI most often with ImageNet (12), Kaggle (7) and BraTS (6); it has 9 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)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 11 | 13 | 8 | 32 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 2 | 4 | 6 | 5 | 4 | 8 | 5 | 12 | 11 | 8 |
| All categories | 2 | 4 | 6 | 5 | 4 | 8 | 5 | 12 | 11 | 8 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 7 |
| 2 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 6 |
| 3 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 5 |
| 4 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 3 |
| 5 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 2 |
| 6 | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 2 |
| 7 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2 |
| 8 | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 2 |
| 9 | [Information Sciences](https://scholar4ai.com/journals/information-sciences.md) | 1 |
| 10 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Northwestern Polytechnical University](https://scholar4ai.com/institutions/northwestern-polytechnical-university.md) | 2 |
| 2 | University of Sharjah | 2 |
| 3 | [Aarhus University](https://scholar4ai.com/institutions/aarhus-university.md) | 1 |
| 4 | Aarhus University Hospital | 1 |
| 5 | Adelaide University | 1 |
| 6 | Alexandria Higher Institute of Engineering and Technology | 1 |
| 7 | Alexandria University | 1 |
| 8 | Amsterdam University Medical Centers | 1 |
| 9 | Anglia Ruskin University | 1 |
| 10 | Arab Academy for Science, Technology, and Maritime Transport | 1 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 12 |
| 2 | India | 11 |
| 3 | United Kingdom | 6 |
| 4 | Saudi Arabia | 5 |
| 5 | United States | 5 |
| 6 | United Arab Emirates | 4 |
| 7 | Australia | 4 |
| 8 | Bangladesh | 2 |
| 9 | Egypt | 2 |
| 10 | Netherlands | 2 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | LIDC-IDRI | 19 |
| 2 | lung nodule classification | 9 |
| 3 | [transfer learning](https://scholar4ai.com/keywords/transfer-learning.md) | 6 |
| 4 | computer-aided diagnosis | 5 |
| 5 | [convolutional neural networks](https://scholar4ai.com/keywords/convolutional-neural-networks.md) | 5 |
| 6 | [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) | 5 |
| 7 | lung cancer detection | 4 |
| 8 | lung cancer screening | 4 |
| 9 | lung nodule segmentation | 4 |
| 10 | [medical image segmentation](https://scholar4ai.com/keywords/medical-image-segmentation.md) | 4 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 286 | 2.6 | [Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT](https://doi.org/10.1016/j.inffus.2017.10.005) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2017-10-25 | Yutong Xie, Jianpeng Zhang, Yong Xia et al. |
| 2 | 200 | 6.3 | [Foundation model for cancer imaging biomarkers](https://doi.org/10.1038/s42256-024-00807-9) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2024-03-15 | Suraj Pai, Dennis Bontempi, Ibrahim Hadžić et al. |
| 3 | 158 | 1.5 | [Multi-view multi-scale CNNs for lung nodule type classification from CT images](https://doi.org/10.1016/j.patcog.2017.12.022) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 2018-01-04 | Xinglong Liu, Fei Hou, Hong Qin et al. |
| 4 | 121 | 1.7 | [Learning efficient, explainable and discriminative representations for pulmonary nodules classification](https://doi.org/10.1016/j.patcog.2021.107825) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 2021-01-14 | Hanliang Jiang, Fuhao Shen, Fei Gao et al. |
| 5 | 107 | 1.2 | [Automated 3-D lung tumor detection and classification by an active contour model and CNN classifier](https://doi.org/10.1016/j.eswa.2019.05.041) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2019-05-27 | Gopi Kasinathan, S. K. V. Jayakumar, Amir H. Gandomi et al. |

## Used together with

Papers use LIDC-IDRI most often with ImageNet (12), Kaggle (7) and BraTS (6); it has 9 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

*What papers use LIDC-IDRI together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 12 | 3.7 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 7 | 8.8 |
| [BraTS](https://scholar4ai.com/datasets/brats.md) | Dataset | 6 | 16.0 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 6 | 3.9 |
| [Chest X-ray (CheXpert, ChestX-ray14)](https://scholar4ai.com/datasets/chest-x-ray-chexpert-chestx-ray14.md) | Dataset | 5 | 37.8 |
| [ISIC skin lesion archive](https://scholar4ai.com/datasets/isic-skin-lesion-archive.md) | Dataset | 5 | 37.4 |
| [TCGA](https://scholar4ai.com/datasets/tcga.md) | Dataset | 5 | 20.0 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 3 | 1.6 |
| [MIMIC](https://scholar4ai.com/datasets/mimic.md) | Dataset | 3 | 6.4 |

The whole network: https://scholar4ai.com/code/network.md

## Cite this page

Scholar4AI. (2026). LIDC-IDRI. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/lidc-idri

```bibtex
@misc{scholar4ai-datasets-lidc-idri,
  author = {{Scholar4AI}},
  title = {LIDC-IDRI},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/lidc-idri}},
  urldate = {2026-11-05},
  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/).