---
title: "Domain generalization research: papers and trends"
description: "From 2017 to 2026 (so far), the keyword “domain generalization” appeared in 635 papers in the tracked journals, most of them in AI (625), operations research (5) and information systems (3)."
url: https://scholar4ai.com/keywords/domain-generalization
markdown_url: https://scholar4ai.com/keywords/domain-generalization.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From 2017 to 2026 (so far), the keyword “domain generalization” appeared in 635 papers in the tracked journals, most of them in AI (625), operations research (5) and information systems (3). (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T18:03:37+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# Papers on “domain generalization”

Research on “domain generalization” in the 480 tracked journals: papers per year and category, the journals, institutions and countries publishing it, the keywords studied with it and its most-cited papers. It is not among the most frequent keywords of the last 30 days, so this page has no list of its latest papers.

Back to the ranking: https://scholar4ai.com/rankings/keywords.md

## Key findings

- From 2017 to 2026 (so far), the keyword “domain generalization” appeared in 635 papers in the tracked journals, most of them in AI (625), operations research (5) and information systems (3).
- 162 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 (45), University of Chinese Academy of Sciences (24) and Institute of Automation (21).
- The journals publishing most of them were Pattern Recognition (81), Expert Systems with Applications (81) and Knowledge-Based Systems (80).
- The most-cited of them is “Learning to Prompt for Vision-Language Models” (International Journal of Computer Vision, 2022), with 3,314 citations.

## 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 | 1 | 10 | 9 | 18 | 49 | 74 | 122 | 159 | 181 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 2 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All categories | 2 | 2 | 10 | 9 | 19 | 49 | 74 | 122 | 162 | 186 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 81 |
| 2 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 81 |
| 3 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 80 |
| 4 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 54 |
| 5 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 51 |
| 6 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 48 |
| 7 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 35 |
| 8 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 17 |
| 9 | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 16 |
| 10 | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 12 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 45 |
| 2 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 24 |
| 3 | [Institute of Automation](https://scholar4ai.com/institutions/institute-of-automation.md) | 21 |
| 4 | [City University of Hong Kong](https://scholar4ai.com/institutions/city-university-of-hong-kong.md) | 16 |
| 5 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 16 |
| 6 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | 15 |
| 7 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | 15 |
| 8 | [Sun Yat-sen University](https://scholar4ai.com/institutions/sun-yat-sen-university.md) | 14 |
| 9 | [University of Science and Technology of China](https://scholar4ai.com/institutions/university-of-science-and-technology-of-china.md) | 14 |
| 10 | [Xi'an Jiaotong University](https://scholar4ai.com/institutions/xi-an-jiaotong-university.md) | 14 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 415 |
| 2 | United States | 44 |
| 3 | Hong Kong | 40 |
| 4 | United Kingdom | 30 |
| 5 | Singapore | 26 |
| 6 | Australia | 25 |
| 7 | South Korea | 25 |
| 8 | Canada | 14 |
| 9 | India | 12 |
| 10 | Italy | 12 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | domain shift | 70 |
| 2 | domain-invariant features | 57 |
| 3 | [domain adaptation](https://scholar4ai.com/keywords/domain-adaptation.md) | 44 |
| 4 | distribution shift | 35 |
| 5 | [vision-language models](https://scholar4ai.com/keywords/vision-language-models.md) | 33 |
| 6 | [meta-learning](https://scholar4ai.com/keywords/meta-learning.md) | 29 |
| 7 | [semantic segmentation](https://scholar4ai.com/keywords/semantic-segmentation.md) | 27 |
| 8 | CLIP | 26 |
| 9 | [few-shot learning](https://scholar4ai.com/keywords/few-shot-learning.md) | 26 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 3,314 | 64.8 | [Learning to Prompt for Vision-Language Models](https://doi.org/10.1007/s11263-022-01653-1) | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 2022-07-31 | Kaiyang Zhou, Jingkang Yang, Chen Change Loy et al. |
| 2 | 1,209 | 20.8 | [Domain Generalization: A Survey](https://doi.org/10.1109/tpami.2022.3195549) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2022-01-01 | Kaiyang Zhou, Ziwei Liu, Yu Qiao et al. |
| 3 | 1,048 | 18.1 | [Generalizing to Unseen Domains: A Survey on Domain Generalization](https://doi.org/10.1109/tkde.2022.3178128) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2022-01-01 | Jindong Wang, Cuiling Lan, Chang Liu et al. |
| 4 | 613 | 7.2 | [A Review of Domain Adaptation without Target Labels](https://doi.org/10.1109/tpami.2019.2945942) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2019-10-07 | Wouter M. Kouw, Marco Loog |
| 5 | 370 | 8.2 | [Interpretable bilinear attention network with domain adaptation improves drug–target prediction](https://doi.org/10.1038/s42256-022-00605-1) | [Nature Machine Intelligence](https://scholar4ai.com/journals/nature-machine-intelligence.md) | 2023-02-02 | Peizhen Bai, Filip N. Miljković, Bino John et al. |

## Research ideas that follow this keyword

- [Transfer learning for credit across countries](https://scholar4ai.com/ideas/transfer-learning-for-credit-across-countries.md)

## Cite this page

Scholar4AI. (2026). Papers on “domain generalization”. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/keywords/domain-generalization

```bibtex
@misc{scholar4ai-keywords-domain-generalization,
  author = {{Scholar4AI}},
  title = {Papers on “domain generalization”},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/keywords/domain-generalization}},
  urldate = {2026-11-03},
  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/).