---
title: "Face Research Lab London Set: papers citing this dataset"
description: "3 papers in the tracked journals link to the figshare dataset Face Research Lab London Set in their Crossref records, the first in 2023; most of them (1) in 2025."
url: https://scholar4ai.com/code/figshare-5047666
markdown_url: https://scholar4ai.com/code/figshare-5047666.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the figshare dataset Face Research Lab London Set in their Crossref records, the first in 2023; most of them (1) in 2025. (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)
---

# Face Research Lab London Set: papers linking to it

Research papers in the 480 tracked journals that link to Face Research Lab London Set (https://doi.org/10.6084/m9.figshare.5047666), 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.

- figshare
- Dataset
- 2021
- https://doi.org/10.6084/m9.figshare.5047666

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

## Key findings

- 3 papers in the tracked journals link to the figshare dataset Face Research Lab London Set in their Crossref records, the first in 2023; most of them (1) in 2025.
- By category: AI (2) and Higher Education and Research (1); the journals with the most are Information Fusion (2) and Scientometrics (1).

## By year

*Papers linking to Face Research Lab London Set by publication year*

| Year | Papers |
|---|---:|
| 2023 | 1 |
| 2024 | 1 |
| 2025 | 1 |

## Journals

*Journals whose papers link to Face Research Lab London Set most*

| Journal | Papers |
|---|---:|
| [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 2 |
| [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | 1 |

## Papers

*Papers linking to Face Research Lab London Set, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2023-03-21 | [Biases in scholarly recommender systems: impact, prevalence, and mitigation](https://doi.org/10.1007/s11192-023-04636-2) | [Scientometrics](https://scholar4ai.com/journals/scientometrics.md) | Michael Färber, Melissa Coutinho, Shuzhou Yuan | 24 | cites it |
| 2024-12-27 | [2D/3D Image morphing technology from traditional to modern: A survey](https://doi.org/10.1016/j.inffus.2024.102913) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | Jianchu Lin, Yanfeng Gu, Guangxiao Du et al. | 9 | cites it |
| 2025-11-16 | [SelfMAD++: Self-supervised foundation model with local feature enhancement for generalized morphing attack detection](https://doi.org/10.1016/j.inffus.2025.103921) | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | Marija Ivanovska, Leon Todorov, Peter Peer et al. | 2 | 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). Face Research Lab London Set: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/figshare-5047666

```bibtex
@misc{scholar4ai-code-figshare-5047666,
  author = {{Scholar4AI}},
  title = {Face Research Lab London Set: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/figshare-5047666}},
  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/).