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

Papers on “catastrophic forgetting”

Research on “catastrophic forgetting” 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 “catastrophic forgetting” appeared in 664 papers in the tracked journals, most of them in AI (657), operations research (2) and information systems (2).
  • 178 of them were published in 2025, against 4 in 2017.
  • Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (51), University of Electronic Science and Technology of China (29) and Nanyang Technological University (26).
  • The journals publishing most of them were Pattern Recognition (78), Knowledge-Based Systems (74) and Neural Networks (72).
  • The most-cited of them is “Learning without Forgetting” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017), with 4,192 citations.

Papers per year#

2017: 4 papers2018: 0 papers2019: 12 papers2020: 13 papers2021: 30 papers2022: 49 papers2023: 82 papers2024: 106 papers2025: 178 papers2026 (so far): 190 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI401213304982106175186
Operations Research0000000011
Information Systems0000000011
Finance0000000002
Economics0000000010
All categories401213304982106178190

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China433
2United States66
3Singapore43
4Australia37
5United Kingdom36
6Hong Kong28
7India18
8Italy14
9United Arab Emirates10
10South Korea10
Keywords with the most papers, since 2023
#KeywordPapers
1continual learning244
2class-incremental learning98
3knowledge distillation86
4incremental learning41
5few-shot class-incremental learning35
6knowledge transfer27
7class imbalance26
8domain shift24
9parameter-efficient fine-tuning24

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
14,19239.0Learning without ForgettingIEEE Transactions on Pattern Analysis and Machine Intelligence2017-11-14Zhizhong Li, Derek Hoiem
23,11433.6Continual lifelong learning with neural networks: A reviewNeural Networks2019-02-10German Ignacio Parisi, Ronald Kemker, Jose L. Part et al.
31,64523.5A continual learning survey: Defying forgetting in classification tasksIEEE Transactions on Pattern Analysis and Machine Intelligence2021-01-01Matthias Delange, Rahaf Aljundi, Marc Masana et al.
41,11434.6A Comprehensive Survey of Continual Learning: Theory, Method and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence2024-02-26Liyuan Wang, Xingxing Zhang, Hang Su et al.
574115.2Class-Incremental Learning: Survey and Performance Evaluation on Image ClassificationIEEE Transactions on Pattern Analysis and Machine Intelligence2022-10-10Marc Masana, Xialei Liu, Bartłomiej Twardowski et al.
Cite this page

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

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

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