---
title: "ADE20K: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 111 archived papers mentioned ADE20K in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jun 2024 (9)."
url: https://scholar4ai.com/datasets/ade20k
markdown_url: https://scholar4ai.com/datasets/ade20k.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 111 archived papers mentioned ADE20K in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jun 2024 (9). (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)
---

# ADE20K

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

Images labelled with object boxes or pixel masks, including driving scenes.

- data category: Object detection and segmentation benchmarks
- 0 papers in the last 7 days
- Names searched for: ADE20K

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Object detection and segmentation benchmarks datasets: https://scholar4ai.com/datasets/object-detection-and-segmentation-benchmarks.md



## Key findings

- From Nov 2023 to Oct 2026, 111 archived papers mentioned ADE20K in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jun 2024 (9).
- ADE20K 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 International Journal of Computer Vision (1) and Expert Systems with Applications (1).
- From 2017 to 2026 (so far), ADE20K was mentioned in 141 papers in the tracked journals, most of them in AI (139), information systems (1) and operations research (1).
- 34 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (17), University of Chinese Academy of Sciences (11) and Tsinghua University (9).
- The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (42), International Journal of Computer Vision (29) and Artificial Intelligence Review (9).
- The most-cited of them is “Semantic Understanding of Scenes Through the ADE20K Dataset” (International Journal of Computer Vision, 2018), with 1,830 citations.
- Papers use ADE20K most often with ImageNet (75), MS COCO (70) and Cityscapes (58); it has 31 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 |
|---|---:|---:|---:|---:|
|  | 48 | 39 | 24 | 111 |

## 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 | 1 | 3 | 5 | 5 | 5 | 16 | 48 | 33 | 23 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 0 | 1 | 3 | 5 | 5 | 5 | 16 | 49 | 34 | 23 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 42 |
| 2 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 29 |
| 3 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 9 |
| 4 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 8 |
| 5 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 7 |
| 6 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 5 |
| 7 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 5 |
| 8 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 4 |
| 9 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 3 |
| 10 | [Image and Vision Computing](https://scholar4ai.com/journals/image-and-vision-computing.md) | 2 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 17 |
| 2 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 11 |
| 3 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 9 |
| 4 | [Institute of Automation](https://scholar4ai.com/institutions/institute-of-automation.md) | 8 |
| 5 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | 7 |
| 6 | [Peking University](https://scholar4ai.com/institutions/peking-university.md) | 7 |
| 7 | [Nankai University](https://scholar4ai.com/institutions/nankai-university.md) | 6 |
| 8 | [Sensetime (China)](https://scholar4ai.com/companies/sensetime-china.md) | 6 |
| 9 | [Shandong University](https://scholar4ai.com/institutions/shandong-university.md) | 6 |
| 10 | Shanghai Artificial Intelligence Laboratory | 6 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 84 |
| 2 | Hong Kong | 20 |
| 3 | United States | 14 |
| 4 | Australia | 13 |
| 5 | Singapore | 12 |
| 6 | South Korea | 7 |
| 7 | United Kingdom | 6 |
| 8 | Italy | 6 |
| 9 | United Arab Emirates | 4 |
| 10 | Canada | 4 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [semantic segmentation](https://scholar4ai.com/keywords/semantic-segmentation.md) | 42 |
| 2 | [vision transformer](https://scholar4ai.com/keywords/vision-transformer.md) | 19 |
| 3 | [object detection](https://scholar4ai.com/keywords/object-detection.md) | 18 |
| 4 | [image classification](https://scholar4ai.com/keywords/image-classification.md) | 17 |
| 5 | ADE20K | 16 |
| 6 | [knowledge distillation](https://scholar4ai.com/keywords/knowledge-distillation.md) | 10 |
| 7 | dense prediction | 8 |
| 8 | [self-supervised learning](https://scholar4ai.com/keywords/self-supervised-learning.md) | 8 |
| 9 | [catastrophic forgetting](https://scholar4ai.com/keywords/catastrophic-forgetting.md) | 7 |
| 10 | cityscape | 7 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 1,830 | 19.3 | [Semantic Understanding of Scenes Through the ADE20K Dataset](https://doi.org/10.1007/s11263-018-1140-0) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 2018-12-07 | Bolei Zhou, Hang Zhao, Xavier Puig et al. |
| 2 | 998 | 30.9 | [Vision-Language Models for Vision Tasks: A Survey](https://doi.org/10.1109/tpami.2024.3369699) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-02-26 | Jingyi Zhang, Jiaxing Huang, Sheng Jin et al. |
| 3 | 579 | 20.2 | [A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends](https://doi.org/10.1109/tpami.2024.3415112) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-06-17 | Jie Gui, Tuo Chen, Jing Zhang et al. |
| 4 | 524 | 6.9 | [CCNet: Criss-Cross Attention for Semantic Segmentation](https://doi.org/10.1109/tpami.2020.3007032) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2020-07-03 | Zilong Huang, Xinggang Wang, Yunchao Wei et al. |
| 5 | 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. |

## Used together with

Papers use ADE20K most often with ImageNet (75), MS COCO (70) and Cityscapes (58); it has 31 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

*What papers use ADE20K together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 75 | 10.8 |
| [MS COCO](https://scholar4ai.com/datasets/ms-coco.md) | Dataset | 70 | 25.6 |
| [Cityscapes](https://scholar4ai.com/datasets/cityscapes.md) | Dataset | 58 | 66.0 |
| [PASCAL VOC](https://scholar4ai.com/datasets/pascal-voc.md) | Dataset | 36 | 36.7 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 22 | 5.4 |
| [YouTube / TikTok](https://scholar4ai.com/datasets/youtube-tiktok.md) | Dataset | 15 | 2.8 |
| [KITTI](https://scholar4ai.com/datasets/kitti.md) | Dataset | 14 | 10.5 |
| [Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers)](https://scholar4ai.com/datasets/fine-grained-benchmarks-cub-200-stanford-cars-oxford-flowers.md) | Dataset | 11 | 16.3 |
| [Face recognition (LFW, CelebA, VGGFace2)](https://scholar4ai.com/datasets/face-recognition-lfw-celeba-vggface2.md) | Dataset | 8 | 9.2 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 8 | 2.5 |
| [Wikipedia](https://scholar4ai.com/datasets/wikipedia.md) | Dataset | 8 | 2.7 |
| [Action recognition (Kinetics, UCF101, HMDB51)](https://scholar4ai.com/datasets/action-recognition-kinetics-ucf101-hmdb51.md) | Dataset | 6 | 7.0 |

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

## Papers

*Papers mentioning ADE20K in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-17 | [CorrCLIPv2: Harnessing Unlabeled Images for Open-Vocabulary Semantic Segmentation](https://doi.org/10.1007/s11263-026-03027-3) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | D H Zhang, Fagui Liu, Quan Tang et al. | South China University of Technology; Peng Cheng Laboratory |
| 2026-10-16 | [NISNet: Efficient native dense prediction via symmetric boundary-preserving coupling–decoupling](https://doi.org/10.1016/j.eswa.2026.134769) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Fengjun WU, Kafeng Wang, Xinai Xu et al. | Nanchang Normal University; Chinese Academy of Sciences; Computer Network Information Center; … |

## Cite this page

Scholar4AI. (2026). ADE20K. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/ade20k

```bibtex
@misc{scholar4ai-datasets-ade20k,
  author = {{Scholar4AI}},
  title = {ADE20K},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/ade20k}},
  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/).