Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

deepfakes/faceswap: papers linking to it

GitHub · 57,599 stars · 13,433 forks · Python · license GPL-3.0 · created 2017 · github.com/deepfakes/faceswap

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to deepfakes/faceswap (https://github.com/deepfakes/faceswap), 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.

Share: X LinkedIn Bluesky Threads Facebook Reddit Hacker News Hatena LINE Email
Copy:

Key findings#

  • 27 papers in the tracked journals link to the GitHub repository deepfakes/faceswap in their Crossref records, the first in 2020; most of them (7) in 2022.
  • By category: AI (27); the journals with the most are Expert Systems with Applications (6), Pattern Recognition (5) and International Journal of Computer Vision (5).
  • 17 of the papers build on one another: a later paper cites an earlier one that also links deepfakes/faceswap.

By year#

2020: 1 paper2021: 1 paper2022: 7 papers2023: 4 papers2024: 6 papers2025: 4 papers2026: 4 papers
20202026
Papers linking to deepfakes/faceswap by publication year
YearPapers
20201
20211
20227
20234
20246
20254
20264

Journals#

Journals whose papers link to deepfakes/faceswap most
JournalPapers
Expert Systems with Applications6
Pattern Recognition5
International Journal of Computer Vision5
Applied Intelligence3
Neural Computing and Applications3

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Papers linking to deepfakes/faceswap, most cited first
PublishedTitleJournalAuthorsCitationsLink
2022-06-03Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forwardApplied IntelligenceMomina Masood, Marriam Nawaz, Khalid Mahmood Malik et al.545cites it
2022-05-04Countering Malicious DeepFakes: Survey, Battleground, and HorizonInternational Journal of Computer VisionFelix Juefei-Xu, Run Wang, Yihao Huang et al.191cites it
2023-04-28Deepfacelab: Integrated, flexible and extensible face-swapping frameworkPattern RecognitionKunlin Liu, Ivan Perov, Daiheng Gao et al.137cites it
2024-05-18Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligenceExpert Systems with ApplicationsFakhar Abbas, Araz Taeihagh116cites it
2021-03-24PRRNet: Pixel-Region relation network for face forgery detectionPattern RecognitionZhihua Shang, Hongtao Xie, Zheng-Jun Zha et al.107cites it
2022-08-31Wavelet-packets for deepfake image analysis and detectionMachine LearningMoritz Wolter, Felix Blanke, Raoul Heese et al.69cites it
2022-06-03Learning a deep dual-level network for robust DeepFake detectionPattern RecognitionWenbo Pu, Jing Hu, Xin Wang et al.67cites it
2023-11-23An ensemble of CNNs with self-attention mechanism for DeepFake video detectionNeural Computing and ApplicationsKarima Omar, Rasha Hassan Sakr, Mohammed F. Alrahmawy55cites it
2022-08-02An integrated spatiotemporal-based methodology for deepfake detectionNeural Computing and ApplicationsAya Ismail, Marwa S. Elpeltagy, Mervat S. Zaki et al.42cites it
2022-11-13Watching the BiG artifacts: Exposing DeepFake videos via Bi-granularity artifactsPattern RecognitionHan Chen, Yuezun Li, Dongdong Lin et al.39cites it
2024-05-23WATCHER: Wavelet-Guided Texture-Content Hierarchical Relation Learning for Deepfake DetectionInternational Journal of Computer VisionYuan Wang, Chen Chen, Ning Zhang et al.37cites it
2024-06-24Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake DetectionInternational Journal of Computer VisionYuting Xu, Jian Liang, Lijun Sheng et al.36cites it
2023-06-28MRT-Net: Auto-adaptive weighting of manipulation residuals and texture clues for face manipulation detectionExpert Systems with ApplicationsAnkit Kumar Yadav, Dinesh Kumar Vishwakarma34cites it
2020-04-19Deep learning for face image synthesis and semantic manipulations: a review and future perspectivesArtificial Intelligence ReviewMahla Abdolahnejad, Peter Xiaoping Liu29cites it
2023-02-16TAN-GFD: generalizing face forgery detection based on texture information and adaptive noise miningApplied IntelligenceYi Xiao Zhao, Xin Jin, Song Gao et al.29cites it
2022-06-02IR-Capsule: Two-Stream Network for Face Forgery DetectionCognitive ComputationKaihan Lin, Weihong Han, Shudong Li et al.15cites it
2024-08-12Rethinking Open-World DeepFake Attribution with Multi-perspective Sensory LearningInternational Journal of Computer VisionZhimin Sun, Shen Chen, Taiping Yao et al.12cites it
2025-06-14FAME: a lightweight spatio-temporal network for model attribution of face-swap deepfakesExpert Systems with ApplicationsWasim Ahmad, Yan‐Tsung Peng, Yuan-Hao Chang10cites it
2025-02-25FreqFaceNet: an enhanced transformer architecture with dual-order frequency attention for deepfake detectionApplied IntelligenceVarun Gupta, Vaibhav Srivastava, Ankit Kumar Yadav et al.9cites it
2024-08-13Test-time Forgery Detection with Spatial-Frequency Prompt LearningInternational Journal of Computer VisionJunxian Duan, Yuang Ai, Jipeng Liu et al.8cites it
2026-04-23Towards few-shot deepfake detection with an enhanced CLIP modelNeural NetworksYumin Yang, Xueyi Zhang, Bo Yan et al.5cites it
2025-06-01Dual-Branch Pre-activation Bottleneck Transformer for Face Forgery DetectionCognitive ComputationKaihan Lin, Jujian Lv, Huimin Zhao et al.3cites it
2026-04-03Refining forgery-aware prompts for deepfake detection with pattern blended samplesPattern RecognitionCaibo Feng, Chunxiao Liu2cites it
2024-11-29Learning dual aggregate features for face forgery detectionNeural Computing and ApplicationsYuru Kou, Qian Jiang, Jun Zhang et al.1cites it
2025-12-21CAPMamba: A hybrid vision model for enhancing generalization in deepfake detectionExpert Systems with ApplicationsShudong Li, Yilin Feng, Xiaobo Wu et al.1cites it
2026-06-01DDSF-Net: dual-domain deepfake detection via semantic suppression and spatial-frequency mappingExpert Systems with ApplicationsZhifeng Xing, Li Liu, Yingchun Wu et al.1cites it
2026-04-23STCDePhysio : A decoupled deepfake detection framework based on spatio-temporal consistency of human physiological signalsExpert Systems with ApplicationsJue Tian, Le Zhang, Yang Liu et al.0cites 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). deepfakes/faceswap: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-deepfakes-faceswap

@misc{scholar4ai-code-github-deepfakes-faceswap,
  author = {{Scholar4AI}},
  title = {deepfakes/faceswap: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-deepfakes-faceswap}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).