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

Papers on “recurrent neural networks”

Research on “recurrent neural networks” 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 “recurrent neural networks” appeared in 1,016 papers in the tracked journals, most of them in AI (866), operations research (61) and economics (35).
  • 110 of them were published in 2025, against 45 in 2017.
  • Since 2023, the institutions with the most of these papers were Zhejiang University (7), Beihang University (6) and Chinese Academy of Sciences (6).
  • The journals publishing most of them were Expert Systems with Applications (62), Neural Computing and Applications (58) and Neural Networks (30).
  • The most-cited of them is “Image Segmentation Using Deep Learning: A Survey” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021), with 3,797 citations.

Papers per year#

2017: 45 papers2018: 62 papers2019: 74 papers2020: 108 papers2021: 152 papers2022: 159 papers2023: 124 papers2024: 117 papers2025: 110 papers2026 (so far): 65 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI4256709613414194889253
Operations Research141376171372
Economics0023557373
Finance0002424715
Information Systems2112121210
Management0000010302
Higher Education and Research0101110000
Marketing0001010010
Statistics0000001100
Tourism and Hospitality0000000010
All categories45627410815215912411711065

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Zhejiang University7
2Beihang University6
3Chinese Academy of Sciences6
4Huazhong University of Science and Technology6
5Sichuan University6
6Hunan Normal University5
7SRM Institute of Science and Technology5
8University of Electronic Science and Technology of China5
9Zhengzhou University5
10Koneru Lakshmaiah Education Foundation4
Countries with the most papers, since 2023
#CountryPapers
1China140
2India57
3United States53
4United Kingdom23
5Australia19
6Italy18
7Germany17
8Saudi Arabia17
9Spain13
10South Korea12
Keywords with the most papers, since 2023
#KeywordPapers
1convolutional neural networks60
2LSTM35
3deep learning28
4long short-term memory28
5transformer models28
6gated recurrent unit26
7time series forecasting25
8attention mechanism23
9graph neural networks17

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
13,79754.2Image Segmentation Using Deep Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence2021-01-01Shervin Minaee, Yuri Y. Boykov, Fatih Porikli et al.
22,14123.4Recent advances in physical reservoir computing: A reviewNeural Networks2019-03-20Gouhei Tanaka, Toshiyuki Yamane, J. B. Héroux et al.
31,99825.7A review on the long short-term memory modelArtificial Intelligence Review2020-05-13Greg Van Houdt, Carlos Mosquera, Gonzalo Nápoles
41,36918.3Recurrent Neural Networks for Time Series Forecasting: Current status and future directionsInternational Journal of Forecasting2020-08-10Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
51,08125.4Deep learning modelling techniques: current progress, applications, advantages, and challengesArtificial Intelligence Review2023-04-17Shams Forruque Ahmed, Md. Sakib Bin Alam, Maruf Hassan et al.
Cite this page

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

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

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