---
title: "NASA C-MAPSS turbofan data: papers using it"
description: "From Nov 2023 to Oct 2026, 51 archived papers mentioned NASA C-MAPSS turbofan data in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Nov 2025 (6)."
url: https://scholar4ai.com/datasets/nasa-c-mapss-turbofan-data
markdown_url: https://scholar4ai.com/datasets/nasa-c-mapss-turbofan-data.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 51 archived papers mentioned NASA C-MAPSS turbofan data in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Nov 2025 (6). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# NASA C-MAPSS turbofan data

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/5.md)

Bearing, engine, battery and process data used to compare fault-diagnosis and remaining-life models.

- data category: Industrial fault and prognostics benchmarks
- 0 papers in the last 7 days
- Names searched for: C-MAPSS, CMAPSS, Commercial Modular Aero-Propulsion System Simulation

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Industrial fault and prognostics benchmarks datasets: https://scholar4ai.com/datasets/industrial-fault-and-prognostics-benchmarks.md



## Key findings

- From Nov 2023 to Oct 2026, 51 archived papers mentioned NASA C-MAPSS turbofan data in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Nov 2025 (6).
- NASA C-MAPSS turbofan data was mentioned in 1 paper in the last 30 days (2026-10-07 to 2026-11-05), ranking #165 of the 246 datasets mentioned.
- By journal category: AI (1).
- Most of them appeared in Expert Systems with Applications (1).
- From 2017 to 2026 (so far), NASA C-MAPSS turbofan data was mentioned in 70 papers in the tracked journals, most of them in AI (50), operations research (18) and statistics (1).
- 21 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Beihang University (4), Nanjing University of Aeronautics and Astronautics (3) and Agency for Science, Technology and Research (2).
- The journals publishing most of them were Computers & Industrial Engineering (14), Expert Systems with Applications (12) and Artificial Intelligence Review (3).
- The most-cited of them is “Autoencoders and their applications in machine learning: a survey” (Artificial Intelligence Review, 2024), with 613 citations.
- Papers use NASA C-MAPSS turbofan data most often with CIFAR-10 / CIFAR-100 (3); it has 1 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 10 | 16 | 25 | 51 |

## 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) | 0 | 0 | 2 | 2 | 5 | 2 | 2 | 9 | 15 | 13 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 1 | 0 | 2 | 2 | 2 | 6 | 5 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| All categories | 0 | 0 | 2 | 3 | 5 | 5 | 5 | 11 | 21 | 18 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Computers & Industrial Engineering](https://scholar4ai.com/journals/computers-industrial-engineering.md) | 14 |
| 2 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 12 |
| 3 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 3 |
| 4 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 3 |
| 5 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 3 |
| 6 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 3 |
| 7 | [IEEE Transactions on Cybernetics](https://scholar4ai.com/journals/ieee-transactions-on-cybernetics.md) | 3 |
| 8 | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | 3 |
| 9 | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 2 |
| 10 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | 4 |
| 2 | [Nanjing University of Aeronautics and Astronautics](https://scholar4ai.com/institutions/nanjing-university-of-aeronautics-and-astronautics.md) | 3 |
| 3 | Agency for Science, Technology and Research | 2 |
| 4 | [China University of Mining and Technology](https://scholar4ai.com/institutions/china-university-of-mining-and-technology.md) | 2 |
| 5 | [Chongqing University](https://scholar4ai.com/institutions/chongqing-university.md) | 2 |
| 6 | [Guizhou University](https://scholar4ai.com/institutions/guizhou-university.md) | 2 |
| 7 | [Huazhong University of Science and Technology](https://scholar4ai.com/institutions/huazhong-university-of-science-and-technology.md) | 2 |
| 8 | Liverpool John Moores University | 2 |
| 9 | [National University of Singapore](https://scholar4ai.com/institutions/national-university-of-singapore.md) | 2 |
| 10 | North University of China | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 32 |
| 2 | United Kingdom | 6 |
| 3 | Canada | 4 |
| 4 | United States | 4 |
| 5 | France | 3 |
| 6 | Singapore | 3 |
| 7 | Australia | 2 |
| 8 | Spain | 2 |
| 9 | Hong Kong | 2 |
| 10 | Italy | 2 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | C-MAPSS dataset | 35 |
| 2 | remaining useful life prediction | 34 |
| 3 | predictive maintenance | 8 |
| 4 | prognostics and health management | 8 |
| 5 | prognostics | 5 |
| 6 | N-CMAPSS | 4 |
| 7 | aircraft engines | 4 |
| 8 | [semi-supervised learning](https://scholar4ai.com/keywords/semi-supervised-learning.md) | 4 |
| 9 | [uncertainty quantification](https://scholar4ai.com/keywords/uncertainty-quantification.md) | 4 |
| 10 | Bayesian optimization | 3 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 613 | 18.5 | [Autoencoders and their applications in machine learning: a survey](https://doi.org/10.1007/s10462-023-10662-6) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-02-03 | Kamal Berahmand, Fatemeh Daneshfar, Elaheh Sadat Salehi et al. |
| 2 | 139 | 5.1 | [Small data challenges for intelligent prognostics and health management: a review](https://doi.org/10.1007/s10462-024-10820-4) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-07-23 | Chuanjiang Li, Shaobo Li, Yixiong Feng et al. |
| 3 | 121 | 3.3 | [Bayesian gated-transformer model for risk-aware prediction of aero-engine remaining useful life](https://doi.org/10.1016/j.eswa.2023.121859) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2023-10-04 | Feifan Xiang, Yiming Zhang, Shuyou Zhang et al. |
| 4 | 76 | 1.0 | [A Neural Network-Based Joint Prognostic Model for Data Fusion and Remaining Useful Life Prediction](https://doi.org/10.1109/tnnls.2020.2977132) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2020-03-11 | Yuanyuan Gao, Yuxin Wen, Jianguo Wu |
| 5 | 74 | 1.0 | [A Shape-Constrained Neural Data Fusion Network for Health Index Construction and Residual Life Prediction](https://doi.org/10.1109/tnnls.2020.3026644) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2020-10-07 | Zhen Li, Jianguo Wu, Xiaowei Yue |

## Used together with

Papers use NASA C-MAPSS turbofan data most often with CIFAR-10 / CIFAR-100 (3); it has 1 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

*What papers use NASA C-MAPSS turbofan data together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 3 | 1.5 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning NASA C-MAPSS turbofan data in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-28 | [Multi-scale adaptive feature fusion network for aeroengine EGT degradation assessment in fleet-level health management systems](https://doi.org/10.1016/j.eswa.2026.134909) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Qiao Liu, Yiyang Liu, Yu-Kai Fu | Chinese Academy of Sciences |

## Cite this page

Scholar4AI. (2026). NASA C-MAPSS turbofan data. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/nasa-c-mapss-turbofan-data

```bibtex
@misc{scholar4ai-datasets-nasa-c-mapss-turbofan-data,
  author = {{Scholar4AI}},
  title = {NASA C-MAPSS turbofan data},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/nasa-c-mapss-turbofan-data}},
  urldate = {2026-11-05},
  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/).