---
title: "ISIC skin lesion archive: research papers using this data"
description: "From Nov 2023 to Oct 2026, 71 archived papers mentioned ISIC skin lesion archive in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2024 (6)."
url: https://scholar4ai.com/datasets/isic-skin-lesion-archive
markdown_url: https://scholar4ai.com/datasets/isic-skin-lesion-archive.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 71 archived papers mentioned ISIC skin lesion archive in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2024 (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)
---

# ISIC skin lesion archive

[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: ISIC 2018, ISIC 2019, ISIC 2020, ISIC archive, ISIC challenge

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, 71 archived papers mentioned ISIC skin lesion archive in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2024 (6).
- No paper of the tracked journals mentioned ISIC skin lesion archive in the last 30 days (2026-10-07 to 2026-11-05).
- From 2017 to 2026 (so far), ISIC skin lesion archive was mentioned in 97 papers in the tracked journals, most of them in AI (95), marketing (1) and statistics (1).
- 26 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were COMSATS University Islamabad (3), Chinese University of Hong Kong (3) and City University of Hong Kong (3).
- The journals publishing most of them were Neural Computing and Applications (11), Artificial Intelligence Review (9) and Expert Systems with Applications (9).
- The most-cited of them is “Medical Image Segmentation Review: The Success of U-Net” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024), with 1,065 citations.
- Papers use ISIC skin lesion archive most often with ImageNet (31), CIFAR-10 / CIFAR-100 (12) and MNIST / Fashion-MNIST (11); it has 14 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 |
|---|---:|---:|---:|---:|
|  | 25 | 23 | 23 | 71 |

## 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) | 0 | 0 | 0 | 2 | 7 | 10 | 12 | 21 | 26 | 17 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 0 | 0 | 0 | 2 | 7 | 10 | 12 | 23 | 26 | 17 |

## 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) | 11 |
| 2 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 9 |
| 3 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 9 |
| 4 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 8 |
| 5 | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 7 |
| 6 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 3 |
| 7 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 3 |
| 8 | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 3 |
| 9 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 3 |
| 10 | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | 3 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | COMSATS University Islamabad | 3 |
| 2 | [Chinese University of Hong Kong](https://scholar4ai.com/institutions/chinese-university-of-hong-kong.md) | 3 |
| 3 | [City University of Hong Kong](https://scholar4ai.com/institutions/city-university-of-hong-kong.md) | 3 |
| 4 | [Indian Statistical Institute](https://scholar4ai.com/institutions/indian-statistical-institute.md) | 3 |
| 5 | Agency for Science, Technology and Research | 2 |
| 6 | De Montfort University | 2 |
| 7 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 2 |
| 8 | [Imperial College London](https://scholar4ai.com/institutions/imperial-college-london.md) | 2 |
| 9 | Institute of High Performance Computing | 2 |
| 10 | Iğdır Üniversitesi | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 34 |
| 2 | United Kingdom | 12 |
| 3 | India | 11 |
| 4 | United States | 11 |
| 5 | Turkey | 7 |
| 6 | Canada | 6 |
| 7 | Australia | 5 |
| 8 | Saudi Arabia | 5 |
| 9 | Hong Kong | 4 |
| 10 | Germany | 3 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | ISIC 2018 | 18 |
| 2 | skin lesion segmentation | 15 |
| 3 | [medical image segmentation](https://scholar4ai.com/keywords/medical-image-segmentation.md) | 13 |
| 4 | skin lesion classification | 13 |
| 5 | ISIC 2017 | 9 |
| 6 | ISIC 2019 | 9 |
| 7 | skin cancer diagnosis | 9 |
| 8 | medical image classification | 8 |
| 9 | dermoscopic images | 7 |
| 10 | [federated learning](https://scholar4ai.com/keywords/federated-learning.md) | 7 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 1,065 | 40.2 | [Medical Image Segmentation Review: The Success of U-Net](https://doi.org/10.1109/tpami.2024.3435571) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-08-21 | Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland et al. |
| 2 | 522 | 16.4 | [Federated learning for medical image analysis: A survey](https://doi.org/10.1016/j.patcog.2024.110424) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 2024-03-12 | Hao Guan, Pew‐Thian Yap, Andrea Bozoki et al. |
| 3 | 495 | 14.0 | [A comprehensive survey on applications of transformers for deep learning tasks](https://doi.org/10.1016/j.eswa.2023.122666) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2023-11-22 | Saidul Islam, Hanae Elmekki, Ahmed Elsebai et al. |
| 4 | 338 | 4.9 | [Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks](https://doi.org/10.1109/tnnls.2020.3047335) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2021-01-14 | K. Ruwani M. Fernando, Chris P. Tsokos |
| 5 | 323 | 4.2 | [Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art](https://doi.org/10.1007/s10462-020-09865-y) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2020-06-27 | Adekanmi Adeyinka Adegun, Serestina Viriri |

## Used together with

Papers use ISIC skin lesion archive most often with ImageNet (31), CIFAR-10 / CIFAR-100 (12) and MNIST / Fashion-MNIST (11); it has 14 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

*What papers use ISIC skin lesion archive together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 31 | 6.5 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 12 | 4.3 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 11 | 4.9 |
| [BraTS](https://scholar4ai.com/datasets/brats.md) | Dataset | 10 | 18.1 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 10 | 8.6 |
| [TCGA](https://scholar4ai.com/datasets/tcga.md) | Dataset | 8 | 21.8 |
| [Chest X-ray (CheXpert, ChestX-ray14)](https://scholar4ai.com/datasets/chest-x-ray-chexpert-chestx-ray14.md) | Dataset | 5 | 25.7 |
| [Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers)](https://scholar4ai.com/datasets/fine-grained-benchmarks-cub-200-stanford-cars-oxford-flowers.md) | Dataset | 5 | 10.8 |
| [LIDC-IDRI](https://scholar4ai.com/datasets/lidc-idri.md) | Dataset | 5 | 37.4 |
| [MS COCO](https://scholar4ai.com/datasets/ms-coco.md) | Dataset | 5 | 2.7 |
| [ADNI](https://scholar4ai.com/datasets/adni.md) | Dataset | 4 | 8.1 |
| [SVHN](https://scholar4ai.com/datasets/svhn.md) | Dataset | 4 | 9.4 |

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

## Cite this page

Scholar4AI. (2026). ISIC skin lesion archive. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/isic-skin-lesion-archive

```bibtex
@misc{scholar4ai-datasets-isic-skin-lesion-archive,
  author = {{Scholar4AI}},
  title = {ISIC skin lesion archive},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/isic-skin-lesion-archive}},
  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/).