---
title: "Cityscapes: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 231 archived papers mentioned Cityscapes in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (12)."
url: https://scholar4ai.com/datasets/cityscapes
markdown_url: https://scholar4ai.com/datasets/cityscapes.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 231 archived papers mentioned Cityscapes in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (12). (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)
---

# Cityscapes

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/2.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: Cityscapes

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, 231 archived papers mentioned Cityscapes in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (12).
- Cityscapes was mentioned in 3 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #103 of the 246 datasets mentioned.
- By journal category: AI (2) and Tourism and Hospitality (1).
- Most of them appeared in Annals of Tourism Research Empirical Insights (1), International Journal of Computer Vision (1) and Artificial Intelligence Review (1).
- From 2017 to 2026 (so far), Cityscapes was mentioned in 298 papers in the tracked journals, most of them in AI (251), economics (17) and tourism and hospitality (8).
- 74 of them were published in 2025, against 2 in 2017.
- Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (16), University of Chinese Academy of Sciences (12) and Nanyang Technological University (11).
- The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (58), International Journal of Computer Vision (40) and Pattern Recognition (20).
- The most-cited of them is “DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017), with 22,385 citations.
- Papers use Cityscapes most often with ImageNet (111), MS COCO (75) and KITTI (62); it has 34 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 |
|---|---:|---:|---:|---:|
|  | 89 | 75 | 67 | 231 |

## 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 | 0 | 6 | 8 | 14 | 18 | 31 | 69 | 61 | 42 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 2 | 6 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 2 | 3 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 2 | 0 | 6 | 8 | 15 | 18 | 34 | 81 | 74 | 60 |

## 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) | 58 |
| 2 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 40 |
| 3 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 20 |
| 4 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 14 |
| 5 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 12 |
| 6 | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | 8 |
| 7 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 7 |
| 8 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 6 |
| 9 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 6 |
| 10 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 4 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 16 |
| 2 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 12 |
| 3 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | 11 |
| 4 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 11 |
| 5 | [Chinese University of Hong Kong](https://scholar4ai.com/institutions/chinese-university-of-hong-kong.md) | 10 |
| 6 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 9 |
| 7 | [Hong Kong University of Science and Technology](https://scholar4ai.com/institutions/hong-kong-university-of-science-and-technology.md) | 9 |
| 8 | [Institute of Automation](https://scholar4ai.com/institutions/institute-of-automation.md) | 9 |
| 9 | Shanghai Artificial Intelligence Laboratory | 9 |
| 10 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 8 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 119 |
| 2 | United States | 35 |
| 3 | Hong Kong | 32 |
| 4 | United Kingdom | 30 |
| 5 | Australia | 22 |
| 6 | Germany | 18 |
| 7 | Singapore | 18 |
| 8 | Italy | 11 |
| 9 | Switzerland | 10 |
| 10 | Spain | 10 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [semantic segmentation](https://scholar4ai.com/keywords/semantic-segmentation.md) | 62 |
| 2 | [autonomous driving](https://scholar4ai.com/keywords/autonomous-driving.md) | 23 |
| 3 | [object detection](https://scholar4ai.com/keywords/object-detection.md) | 23 |
| 4 | cityscape | 19 |
| 5 | [image classification](https://scholar4ai.com/keywords/image-classification.md) | 17 |
| 6 | [domain generalization](https://scholar4ai.com/keywords/domain-generalization.md) | 15 |
| 7 | [domain adaptation](https://scholar4ai.com/keywords/domain-adaptation.md) | 14 |
| 8 | [multi-task learning](https://scholar4ai.com/keywords/multi-task-learning.md) | 12 |
| 9 | [vision transformer](https://scholar4ai.com/keywords/vision-transformer.md) | 12 |
| 10 | [knowledge distillation](https://scholar4ai.com/keywords/knowledge-distillation.md) | 11 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 22,385 | 195.9 | [DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs](https://doi.org/10.1109/tpami.2017.2699184) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2017-04-27 | Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos 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 | 614 | 7.0 | [The ApolloScape Open Dataset for Autonomous Driving and Its Application](https://doi.org/10.1109/tpami.2019.2926463) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2019-07-07 | Xinyu Huang, Peng Wang, Xinjing Cheng 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 | 512 | 19.3 | [A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations](https://doi.org/10.1109/tpami.2024.3447085) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-08-21 | Hongrong Cheng, Miao Zhang, Qinfeng Shi |

## Used together with

Papers use Cityscapes most often with ImageNet (111), MS COCO (75) and KITTI (62); it has 34 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

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

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 111 | 7.6 |
| [MS COCO](https://scholar4ai.com/datasets/ms-coco.md) | Dataset | 75 | 13.0 |
| [KITTI](https://scholar4ai.com/datasets/kitti.md) | Dataset | 62 | 22.0 |
| [ADE20K](https://scholar4ai.com/datasets/ade20k.md) | Dataset | 58 | 66.0 |
| [PASCAL VOC](https://scholar4ai.com/datasets/pascal-voc.md) | Dataset | 55 | 26.5 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 35 | 4.1 |
| [nuScenes / Waymo Open / Argoverse](https://scholar4ai.com/datasets/nuscenes-waymo-open-argoverse.md) | Dataset | 23 | 12.5 |
| [YouTube / TikTok](https://scholar4ai.com/datasets/youtube-tiktok.md) | Dataset | 16 | 1.4 |
| [Face recognition (LFW, CelebA, VGGFace2)](https://scholar4ai.com/datasets/face-recognition-lfw-celeba-vggface2.md) | Dataset | 13 | 7.1 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 13 | 1.9 |
| [SVHN](https://scholar4ai.com/datasets/svhn.md) | Dataset | 10 | 7.7 |
| [Action recognition (Kinetics, UCF101, HMDB51)](https://scholar4ai.com/datasets/action-recognition-kinetics-ucf101-hmdb51.md) | Dataset | 9 | 5.0 |

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

## Papers

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

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-18 | [The AI gaze and imagined places: Co-creation and negotiation with the generative AI assemblage](https://doi.org/10.1016/j.annale.2026.100237) | [Annals of Tourism Research Empirical Insights](https://scholar4ai.com/journals/annals-of-tourism-research-empirical-insights.md) | Michał Rzeszewski, Phil Jones, Maciej Główczyński et al. | Adam Mickiewicz University in Poznań; University of Birmingham; University of Reading |
| 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 |
| 2026-10-17 | [Seeing ahead through a state-of-the-art review of visual perception and predictive intelligence for collaborative robots](https://doi.org/10.1007/s10462-026-11708-1) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Mahmoud Salem, Markus Reischl, Veit Hagenmeyer et al. | Karlsruhe Institute of Technology; British University in Egypt; Gulf University for Science & Technology |

## Cite this page

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

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