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

Papers on “dimensionality reduction”

Research on “dimensionality reduction” 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 “dimensionality reduction” appeared in 1,746 papers in the tracked journals, most of them in AI (1,261), statistics (219) and operations research (137).
  • 194 of them were published in 2025, against 123 in 2017.
  • Since 2023, the institutions with the most of these papers were Northwestern Polytechnical University (31), Southwest Jiaotong University (17) and Centre National de la Recherche Scientifique (14).
  • The journals publishing most of them were Expert Systems with Applications (124), Knowledge-Based Systems (47) and Pattern Recognition (46).
  • The most-cited of them is “A Survey on Multi-Task Learning” (IEEE Transactions on Knowledge and Data Engineering, 2021), with 2,909 citations.

Papers per year#

2017: 123 papers2018: 141 papers2019: 126 papers2020: 165 papers2021: 210 papers2022: 236 papers2023: 202 papers2024: 189 papers2025: 194 papers2026 (so far): 160 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI91999112616417414914712496
Statistics19291716191825143131
Operations Research881215132115121914
Economics32441077101510
Finance11121104348
Information Systems0112021300
Management1000221010
Tourism and Hospitality0100110000
Marketing0000000001
Higher Education and Research0000010000
All categories123141126165210236202189194160

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China355
2United States79
3India45
4Italy37
5United Kingdom35
6Australia31
7Spain28
8France28
9Germany26
10South Korea26
Keywords with the most papers, since 2023
#KeywordPapers
1feature selection129
2high-dimensional data87
3principal component analysis51
4feature extraction31
5manifold learning28
6clustering24
7classification19
8computational efficiency19
9class imbalance18

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
12,90943.3A Survey on Multi-Task LearningIEEE Transactions on Knowledge and Data Engineering2021-03-31Yu Zhang, Qiang Yang
22,33936.6ProtTrans: Toward Understanding the Language of Life Through Self-Supervised LearningIEEE Transactions on Pattern Analysis and Machine Intelligence2021-07-07Ahmed Elnaggar, Michael Heinzinger, Christian Dallago et al.
37268.7Principal component analysisMachine Learning2019-11-15Ferath Kherif, Adeliya Latypova
461318.6Autoencoders and their applications in machine learning: a surveyArtificial Intelligence Review2024-02-03Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi et al.
55747.0Overview and comparative study of dimensionality reduction techniques for high dimensional dataInformation Fusion2020-01-17Shaeela Ayesha, Muhammad Kashif Hanif, Ramzan Talib
Cite this page

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

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

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