Scholar4AI Updated 2026-11-03 18:03 UTC+09:00

Papers on “domain adaptation”

Research on “domain adaptation” 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. Also as Markdown.

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← Top research keywords · Keyword trends

Key findings#

  • From 2017 to 2026 (so far), the keyword “domain adaptation” appeared in 1,102 papers in the tracked journals, most of them in AI (1,050), information systems (20) and operations research (19).
  • 191 of them were published in 2025, against 29 in 2017.
  • Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (30), Xi'an Jiaotong University (21) and Hong Kong Polytechnic University (17).
  • The journals publishing most of them were Expert Systems with Applications (139), Knowledge-Based Systems (107) and Pattern Recognition (70).
  • The most-cited of them is “Deep Subdomain Adaptation Network for Image Classification” (IEEE Transactions on Neural Networks and Learning Systems, 2020), with 1,253 citations.

Papers per year#

2017: 29 papers2018: 26 papers2019: 46 papers2020: 74 papers2021: 111 papers2022: 117 papers2023: 146 papers2024: 164 papers2025: 191 papers2026 (so far): 198 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI28264569106114141157183181
Information Systems1011201446
Operations Research0002333233
Higher Education and Research0002001002
Statistics0000000005
Finance0000000011
Management0000000100
All categories29264674111117146164191198

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China487
2United States53
3Hong Kong44
4United Kingdom39
5Australia34
6Singapore25
7South Korea24
8India22
9Canada17
10France17
Keywords with the most papers, since 2023
#KeywordPapers
1transfer learning88
2domain generalization44
3domain shift39
4pseudo-labeling39
5contrastive learning38
6distribution shift36
7few-shot learning35
8domain-invariant features32
9negative transfer26

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
11,25316.1Deep Subdomain Adaptation Network for Image ClassificationIEEE Transactions on Neural Networks and Learning Systems2020-05-04Yongchun Zhu, Fuzhen Zhuang, Jindong Wang et al.
21,20920.8Domain Generalization: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence2022-01-01Kaiyang Zhou, Ziwei Liu, Yu Qiao et al.
36817.0Transferable Representation Learning with Deep Adaptation NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence2018-09-05Mingsheng Long, Yue Cao, Zhangjie Cao et al.
46137.2A Review of Domain Adaptation without Target LabelsIEEE Transactions on Pattern Analysis and Machine Intelligence2019-10-07Wouter M. Kouw, Marco Loog
56015.8Adaptive Batch Normalization for practical domain adaptationPattern Recognition2018-03-06Yanghao Li, Naiyan Wang, Jianping Shi et al.

Research ideas that follow this keyword#

Cite this page

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

@misc{scholar4ai-keywords-domain-adaptation,
  author = {{Scholar4AI}},
  title = {Papers on “domain adaptation”},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/keywords/domain-adaptation}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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