---
title: "Ensemble learning research: papers and trends"
description: "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)."
url: https://scholar4ai.com/keywords/ensemble-learning
markdown_url: https://scholar4ai.com/keywords/ensemble-learning.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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). (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T18:03:37+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# 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.

Back to the ranking: https://scholar4ai.com/rankings/keywords.md

## 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

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 60 | 47 | 65 | 79 | 97 | 119 | 143 | 162 | 149 | 119 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 2 | 7 | 4 | 3 | 6 | 7 | 12 | 18 | 16 | 8 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 1 | 4 | 0 | 1 | 8 | 4 | 4 | 7 | 12 | 8 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 4 | 1 | 1 | 1 | 0 | 9 | 6 | 5 | 4 | 3 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 1 | 2 | 4 | 7 | 3 | 4 | 8 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 1 | 1 | 2 | 3 | 1 | 3 | 3 | 4 | 1 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 1 | 0 | 3 | 2 | 2 | 3 | 2 | 2 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 1 | 0 | 2 | 1 | 0 | 1 | 2 | 3 | 3 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 67 | 61 | 73 | 89 | 120 | 146 | 180 | 204 | 196 | 155 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 138 |
| 2 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 80 |
| 3 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 58 |
| 4 | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 35 |
| 5 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 27 |
| 6 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 26 |
| 7 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 22 |
| 8 | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 20 |
| 9 | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 20 |
| 10 | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 20 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 14 |
| 2 | [Northwestern Polytechnical University](https://scholar4ai.com/institutions/northwestern-polytechnical-university.md) | 14 |
| 3 | [South China University of Technology](https://scholar4ai.com/institutions/south-china-university-of-technology.md) | 13 |
| 4 | [Hong Kong Polytechnic University](https://scholar4ai.com/institutions/hong-kong-polytechnic-university.md) | 12 |
| 5 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 11 |
| 6 | [Chinese University of Hong Kong, Shenzhen](https://scholar4ai.com/institutions/chinese-university-of-hong-kong-shenzhen.md) | 10 |
| 7 | [Hefei University of Technology](https://scholar4ai.com/institutions/hefei-university-of-technology.md) | 7 |
| 8 | [Northeastern University](https://scholar4ai.com/institutions/northeastern-university.md) | 7 |
| 9 | [Southeast University](https://scholar4ai.com/institutions/southeast-university.md) | 7 |
| 10 | [Sun Yat-sen University](https://scholar4ai.com/institutions/sun-yat-sen-university.md) | 7 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 308 |
| 2 | India | 85 |
| 3 | United States | 69 |
| 4 | United Kingdom | 42 |
| 5 | Australia | 32 |
| 6 | Hong Kong | 32 |
| 7 | Egypt | 31 |
| 8 | Saudi Arabia | 31 |
| 9 | Spain | 29 |
| 10 | Turkey | 28 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [class imbalance](https://scholar4ai.com/keywords/class-imbalance.md) | 102 |
| 2 | [random forest](https://scholar4ai.com/keywords/random-forest.md) | 63 |
| 3 | [XGBoost](https://scholar4ai.com/keywords/xgboost.md) | 54 |
| 4 | [feature selection](https://scholar4ai.com/keywords/feature-selection.md) | 44 |
| 5 | [convolutional neural networks](https://scholar4ai.com/keywords/convolutional-neural-networks.md) | 39 |
| 6 | [SHAP](https://scholar4ai.com/keywords/shap.md) | 36 |
| 7 | bagging | 31 |
| 8 | [hyperparameter optimization](https://scholar4ai.com/keywords/hyperparameter-optimization.md) | 28 |
| 9 | [data augmentation](https://scholar4ai.com/keywords/data-augmentation.md) | 27 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 2,995 | 40.3 | [A comparative analysis of gradient boosting algorithms](https://doi.org/10.1007/s10462-020-09896-5) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2020-08-24 | Candice Bentéjac, Anna Csörgő, Gonzalo Martínez-Muñoz |
| 2 | 2,788 | 42.6 | [A review of uncertainty quantification in deep learning: Techniques, applications and challenges](https://doi.org/10.1016/j.inffus.2021.05.008) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2021-05-23 | Moloud Abdar, Farhad Pourpanah, Sadiq Hussain et al. |
| 3 | 1,209 | 20.8 | [Domain Generalization: A Survey](https://doi.org/10.1109/tpami.2022.3195549) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2022-01-01 | Kaiyang Zhou, Ziwei Liu, Yu Qiao et al. |
| 4 | 1,050 | 9.0 | [Ensemble learning for data stream analysis: A survey](https://doi.org/10.1016/j.inffus.2017.02.004) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2017-02-03 | Bartosz Krawczyk, Leandro Lei Minku, João Manuel Portela da Gama et al. |
| 5 | 684 | 9.4 | [Machine learning and data mining in manufacturing](https://doi.org/10.1016/j.eswa.2020.114060) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2020-09-29 | Alican 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).