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

Papers on “ensemble learning”

Research on “ensemble learning” 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 “ensemble learning” appeared in 1,291 papers in the tracked journals, most of them in AI (1,040), operations research (83) and economics (49).
  • 196 of them were published in 2025, against 67 in 2017.
  • Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (14), Northwestern Polytechnical University (14) and South China University of Technology (13).
  • The journals publishing most of them were Expert Systems with Applications (138), Neural Computing and Applications (80) and Knowledge-Based Systems (58).
  • The most-cited of them is “A comparative analysis of gradient boosting algorithms” (Artificial Intelligence Review, 2020), with 2,995 citations.

Papers per year#

2017: 67 papers2018: 61 papers2019: 73 papers2020: 89 papers2021: 120 papers2022: 146 papers2023: 180 papers2024: 204 papers2025: 196 papers2026 (so far): 155 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI6047657997119143162149119
Operations Research2743671218168
Economics14018447128
Information Systems4111096543
Finance0001247348
Management0112313341
Higher Education and Research0010322322
Statistics0102101233
Marketing0010001011
Tourism and Hospitality0000001011
Health Economics and Policy0000000100
Accounting0000000001
All categories67617389120146180204196155

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1China308
2India85
3United States69
4United Kingdom42
5Australia32
6Hong Kong32
7Egypt31
8Saudi Arabia31
9Spain29
10Turkey28
Keywords with the most papers, since 2023
#KeywordPapers
1class imbalance102
2random forest63
3XGBoost54
4feature selection44
5convolutional neural networks39
6SHAP36
7bagging31
8hyperparameter optimization28
9data augmentation27

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
12,99540.3A comparative analysis of gradient boosting algorithmsArtificial Intelligence Review2020-08-24Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz
22,78842.6A review of uncertainty quantification in deep learning: Techniques, applications and challengesInformation Fusion2021-05-23Moloud Abdar, Farhad Pourpanah, Sadiq Hussain et al.
31,20920.8Domain Generalization: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence2022-01-01Kaiyang Zhou, Ziwei Liu, Yu Qiao et al.
41,0509.0Ensemble learning for data stream analysis: A surveyInformation Fusion2017-02-03Bartosz Krawczyk, Leandro Lei Minku, João Manuel Portela da Gama et al.
56849.4Machine learning and data mining in manufacturingExpert Systems with Applications2020-09-29Alican Doğan, Derya Birant
Cite this page

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

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

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