---
title: "msambare/fer2013: papers citing this dataset"
description: "6 papers in the tracked journals link to the Kaggle dataset msambare/fer2013 in their Crossref records, the first in 2022; most of them (3) in 2026."
url: https://scholar4ai.com/code/kaggle-msambare-fer2013
markdown_url: https://scholar4ai.com/code/kaggle-msambare-fer2013.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "6 papers in the tracked journals link to the Kaggle dataset msambare/fer2013 in their Crossref records, the first in 2022; most of them (3) in 2026. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# msambare/fer2013: papers linking to it

Research papers in the 480 tracked journals that link to msambare/fer2013 (https://www.kaggle.com/datasets/msambare/fer2013), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

- Kaggle
- https://www.kaggle.com/datasets/msambare/fer2013

All repositories: https://scholar4ai.com/code.md

## Key findings

- 6 papers in the tracked journals link to the Kaggle dataset msambare/fer2013 in their Crossref records, the first in 2022; most of them (3) in 2026.
- By category: AI (5) and Statistics (1); the journals with the most are Neural Computing and Applications (4), Computational Statistics (1) and Expert Systems with Applications (1).

## By year

*Papers linking to msambare/fer2013 by publication year*

| Year | Papers |
|---|---:|
| 2022 | 1 |
| 2024 | 1 |
| 2025 | 1 |
| 2026 | 3 |

## Journals

*Journals whose papers link to msambare/fer2013 most*

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 4 |
| [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |

## Papers

*Papers linking to msambare/fer2013, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-02-15 | [Early detection of depression through facial expression recognition and electroencephalogram-based artificial intelligence-assisted graphical user interface](https://doi.org/10.1007/s00521-024-09437-z) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Gajendra Kumar, Tanaya Das, Kuldeep Singh | 28 | cites it |
| 2022-09-21 | [Facial emotion recognition and encoding application for the visually impaired](https://doi.org/10.1007/s00521-022-07807-z) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | M. N. Pushpalatha, Harshubh Meherishi, Avani Vaishnav et al. | 9 | cites it |
| 2026-02-06 | [CNN-DET: A hybrid deep learning architecture for emotion recognition](https://doi.org/10.1016/j.eswa.2026.131377) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | BERROUACHEDI Abdelkader, Rakia Jaziri, Bernard Gilles | 7 | cites it |
| 2026-02-01 | [Encoding using three-channel deep convolutional neural network and decoding in multi-layer perceptron for facial emotion recognition](https://doi.org/10.1007/s00521-025-11797-z) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Shervan Fekri-Ershad | 1 | cites it |
| 2025-08-13 | [Voting based optimized deep ensemble model: an effective visual and textual fusion for recognition of face emotions](https://doi.org/10.1007/s00180-025-01666-7) | [Computational Statistics](https://scholar4ai.com/journals/computational-statistics.md) | Dipti Pandit, Sangeeta Jadhav | 0 | cites it |
| 2026-10-01 | [An investigation of innovative computational approaches utilizing auditory, visual, and multimedia data to enhance quality of clinical practices in mental health: a systematic literature review utilizing the PRISMA framework](https://doi.org/10.1007/s00521-026-12410-7) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Uygar Aydin, Reyhan Şahinbaş, İnci Zaim Gökbay | 0 | cites it |

## How this is measured

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

## Cite this page

Scholar4AI. (2026). msambare/fer2013: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-msambare-fer2013

```bibtex
@misc{scholar4ai-code-kaggle-msambare-fer2013,
  author = {{Scholar4AI}},
  title = {msambare/fer2013: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-msambare-fer2013}},
  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/).