---
title: "Face recognition (LFW, CelebA, VGGFace2): papers using it"
description: "From Nov 2023 to Oct 2026, 211 archived papers mentioned Face recognition (LFW, CelebA, VGGFace2) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (11)."
url: https://scholar4ai.com/datasets/face-recognition-lfw-celeba-vggface2
markdown_url: https://scholar4ai.com/datasets/face-recognition-lfw-celeba-vggface2.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 211 archived papers mentioned Face recognition (LFW, CelebA, VGGFace2) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan… (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)
---

# Face recognition (LFW, CelebA, VGGFace2)

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/3.md)

Faces, people, poses, facial expressions and human actions in images and video.

- data category: Face, person and video benchmarks
- 0 papers in the last 7 days
- Names searched for: Labeled Faces in the Wild, LFW, CelebA, VGGFace2, CASIA-WebFace, MegaFace

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Face, person and video benchmarks datasets: https://scholar4ai.com/datasets/face-person-and-video-benchmarks.md



## Key findings

- From Nov 2023 to Oct 2026, 211 archived papers mentioned Face recognition (LFW, CelebA, VGGFace2) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2025 (11).
- Face recognition (LFW, CelebA, VGGFace2) was mentioned in 3 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #103 of the 246 datasets mentioned.
- By journal category: AI (3).
- Most of them appeared in Data Mining and Knowledge Discovery (1), Language Resources and Evaluation (1) and Machine Learning (1).
- From 2017 to 2026 (so far), Face recognition (LFW, CelebA, VGGFace2) was mentioned in 292 papers in the tracked journals, most of them in AI (281), statistics (4) and information systems (3).
- 80 of them were published in 2025, against 9 in 2017.
- Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (20), Institute of Automation (11) and Tsinghua University (9).
- The journals publishing most of them were IEEE Transactions on Pattern Analysis and Machine Intelligence (45), International Journal of Computer Vision (22) and Pattern Recognition (19).
- The most-cited of them is “Image Super-Resolution Via Iterative Refinement” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022), with 1,831 citations.
- Papers use Face recognition (LFW, CelebA, VGGFace2) most often with ImageNet (100), MNIST / Fashion-MNIST (72) and CIFAR-10 / CIFAR-100 (69); it has 38 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 |
|---|---:|---:|---:|---:|
|  | 78 | 84 | 49 | 211 |

## 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) | 9 | 9 | 5 | 8 | 15 | 11 | 29 | 86 | 77 | 32 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Marketing](https://scholar4ai.com/categories/marketing.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| All categories | 9 | 9 | 5 | 8 | 15 | 13 | 29 | 88 | 80 | 36 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 45 |
| 2 | [International Journal of Computer Vision](https://scholar4ai.com/journals/international-journal-of-computer-vision.md) | 22 |
| 3 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 19 |
| 4 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 18 |
| 5 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 17 |
| 6 | [IEEE Transactions on Artificial Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-artificial-intelligence.md) | 14 |
| 7 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 13 |
| 8 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 11 |
| 9 | [Information Fusion](https://scholar4ai.com/journals/information-fusion.md) | 11 |
| 10 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 9 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 20 |
| 2 | [Institute of Automation](https://scholar4ai.com/institutions/institute-of-automation.md) | 11 |
| 3 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 9 |
| 4 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 9 |
| 5 | [Nanyang Technological University](https://scholar4ai.com/institutions/nanyang-technological-university.md) | 8 |
| 6 | [Shanghai Jiao Tong University](https://scholar4ai.com/institutions/shanghai-jiao-tong-university.md) | 7 |
| 7 | [Fudan University](https://scholar4ai.com/institutions/fudan-university.md) | 6 |
| 8 | [Sun Yat-sen University](https://scholar4ai.com/institutions/sun-yat-sen-university.md) | 6 |
| 9 | [Beihang University](https://scholar4ai.com/institutions/beihang-university.md) | 5 |
| 10 | [Korea University](https://scholar4ai.com/institutions/korea-university.md) | 5 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 106 |
| 2 | United States | 41 |
| 3 | United Kingdom | 21 |
| 4 | Germany | 20 |
| 5 | Australia | 19 |
| 6 | South Korea | 14 |
| 7 | Italy | 13 |
| 8 | Singapore | 12 |
| 9 | Hong Kong | 11 |
| 10 | Spain | 10 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [generative adversarial networks](https://scholar4ai.com/keywords/generative-adversarial-networks.md) | 31 |
| 2 | [diffusion models](https://scholar4ai.com/keywords/diffusion-models.md) | 23 |
| 3 | image generation | 23 |
| 4 | CelebA | 19 |
| 5 | face recognition | 19 |
| 6 | generative models | 12 |
| 7 | variational autoencoder | 11 |
| 8 | [class imbalance](https://scholar4ai.com/keywords/class-imbalance.md) | 10 |
| 9 | CelebA-HQ | 9 |
| 10 | [multi-task learning](https://scholar4ai.com/keywords/multi-task-learning.md) | 9 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 1,831 | 31.5 | [Image Super-Resolution Via Iterative Refinement](https://doi.org/10.1109/tpami.2022.3204461) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2022-01-01 | Chitwan Saharia, Jonathan Ho, William Chan et al. |
| 2 | 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. |
| 3 | 512 | 19.3 | [A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations](https://doi.org/10.1109/tpami.2024.3447085) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-08-21 | Hongrong Cheng, Miao Zhang, Qinfeng Shi |
| 4 | 456 | 12.3 | [A survey of the vision transformers and their CNN-transformer based variants](https://doi.org/10.1007/s10462-023-10595-0) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2023-10-03 | Asifullah Khan, Asifullah Khan, Zunaira Rauf et al. |
| 5 | 401 | 21.3 | [A comprehensive survey of loss functions and metrics in deep learning](https://doi.org/10.1007/s10462-025-11198-7) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2025-04-11 | Juan R. Terven, Diana Margarita Córdova Esparza, Julio-Alejandro Romero-González et al. |

## Used together with

Papers use Face recognition (LFW, CelebA, VGGFace2) most often with ImageNet (100), MNIST / Fashion-MNIST (72) and CIFAR-10 / CIFAR-100 (69); it has 38 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

*What papers use Face recognition (LFW, CelebA, VGGFace2) together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 100 | 6.9 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 72 | 10.5 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 69 | 8.1 |
| [MS COCO](https://scholar4ai.com/datasets/ms-coco.md) | Dataset | 24 | 4.2 |
| [YouTube / TikTok](https://scholar4ai.com/datasets/youtube-tiktok.md) | Dataset | 21 | 1.9 |
| [SVHN](https://scholar4ai.com/datasets/svhn.md) | Dataset | 19 | 14.7 |
| [Fine-grained benchmarks (CUB-200, Stanford Cars, Oxford Flowers)](https://scholar4ai.com/datasets/fine-grained-benchmarks-cub-200-stanford-cars-oxford-flowers.md) | Dataset | 16 | 11.3 |
| [Cityscapes](https://scholar4ai.com/datasets/cityscapes.md) | Dataset | 13 | 7.1 |
| [UCI Machine Learning Repository](https://scholar4ai.com/datasets/uci-machine-learning-repository.md) | Dataset | 13 | 3.4 |
| [IMDb](https://scholar4ai.com/datasets/imdb.md) | Dataset | 12 | 8.3 |
| [China Family Panel Studies (CFPS)](https://scholar4ai.com/datasets/china-family-panel-studies-cfps.md) | Dataset | 10 | 3.9 |
| [Facial expression (FER2013, AffectNet, RAF-DB)](https://scholar4ai.com/datasets/facial-expression-fer2013-affectnet-raf-db.md) | Dataset | 10 | 21.3 |

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

## Papers

*Papers mentioning Face recognition (LFW, CelebA, VGGFace2) in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-27 | [Meta additive model: interpretable sparse learning with auto weighting](https://doi.org/10.1007/s10618-026-01274-z) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Xuelin Zhang, Xinyue Liu, Lingjuan Wu et al. | Huazhong Agricultural University; Dongfeng Motor (China) |
| 2026-10-25 | [EGY-MER: Establishing The First Egyptian Arabic Multimodal Emotion Recognition Dataset for Affective Computing](https://doi.org/10.1007/s10579-026-09941-9) | [Language Resources and Evaluation](https://scholar4ai.com/journals/language-resources-and-evaluation.md) | Amany Hussein, May Hussien, Ammar Hassona et al. | German International University; German University in Cairo; Universität Ulm |
| 2026-10-20 | [Weighted UnLearning from Experience for Improved Spurious Correlation Robustness](https://doi.org/10.1007/s10994-026-07164-1) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Jeff Mitchell, Jesus Martinez-del-Rincon, Niall McLaughlin | Queen's University Belfast |

## Cite this page

Scholar4AI. (2026). Face recognition (LFW, CelebA, VGGFace2). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/face-recognition-lfw-celeba-vggface2

```bibtex
@misc{scholar4ai-datasets-face-recognition-lfw-celeba-vggface2,
  author = {{Scholar4AI}},
  title = {Face recognition (LFW, CelebA, VGGFace2)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/face-recognition-lfw-celeba-vggface2}},
  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/).