OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Dual Contrastive Learning for General Face Forgery Detection
Ke Sun, Taiping Yao, Chen Shen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 2, pp. 2316-2324
Open Access | Times Cited: 102

Showing 26-50 of 102 citing articles:

MLPN: Multi-Scale Laplacian Pyramid Network for deepfake detection and localization
Yibo Zhang, Weiguo Lin, Junfeng Xu, et al.
Journal of Information Security and Applications (2025) Vol. 89, pp. 103965-103965
Closed Access

Improving the Generalization and Robustness of Computer‐Generated Image Detection Based on Contrastive Learning
Yu-Tao Chen, Weiwu Yin, Anwei Luo, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access

3D data augmentation and dual-branch model for robust face forgery detection
Chao Zhou, Frederick W. B. Li, Chao Song, et al.
Graphical Models (2025) Vol. 138, pp. 101255-101255
Open Access

Revisiting face forgery detection towards generalization
Chunlei Peng, Tao Chen, Decheng Liu, et al.
Neural Networks (2025) Vol. 187, pp. 107310-107310
Closed Access

D2Fusion: Dual-domain fusion with feature superposition for deepfake detection
Xin Qiu, Xingyu Miao, Fan Wan, et al.
Information Fusion (2025), pp. 103087-103087
Closed Access

DC-BiNet: Towards interpretable generated image detection with dark channel prior
Dengtai Tan, Chengyu Niu, Yang Yang, et al.
Expert Systems with Applications (2025), pp. 127508-127508
Closed Access

High-compressed deepfake video detection with contrastive spatiotemporal distillation
Yizhe Zhu, Chunhui Zhang, Jialin Gao, et al.
Neurocomputing (2023) Vol. 565, pp. 126872-126872
Closed Access | Times Cited: 10

Constructing New Backbone Networks via Space-Frequency Interactive Convolution for Deepfake Detection
Zhiqing Guo, Zhenhong Jia, Liejun Wang, et al.
IEEE Transactions on Information Forensics and Security (2023) Vol. 19, pp. 401-413
Closed Access | Times Cited: 9

Diff-ID: An Explainable Identity Difference Quantification Framework for DeepFake Detection
Chuer Yu, Xuhong Zhang, Yuxuan Duan, et al.
IEEE Transactions on Dependable and Secure Computing (2024) Vol. 21, Iss. 5, pp. 5029-5045
Open Access | Times Cited: 3

Golden ratio based deep fake video detection system with fusion of capsule networks
S. Dinçer, Güzin Ulutaş, Beste Üstübioğlu, et al.
Computers & Electrical Engineering (2024) Vol. 117, pp. 109234-109234
Closed Access | Times Cited: 3

Spatial-frequency feature fusion based deepfake detection through knowledge distillation
Bo Wang, Xiaohan Wu, Fei Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108341-108341
Closed Access | Times Cited: 3

Swin-Fake: A Consistency Learning Transformer-Based Deepfake Video Detector
Liang Yu Gong, Xue Jun Li, Peter Han Joo Chong
Electronics (2024) Vol. 13, Iss. 15, pp. 3045-3045
Open Access | Times Cited: 3

Using Graph Neural Networks to Improve Generalization Capability of the Models for Deepfake Detection
Huimin She, Yongjian Hu, Beibei Liu, et al.
IEEE Transactions on Information Forensics and Security (2024) Vol. 19, pp. 8414-8427
Closed Access | Times Cited: 3

Contrastive Pseudo Learning for Open-World DeepFake Attribution
Zhimin Sun, Chen Shen, Taiping Yao, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 20825-20835
Open Access | Times Cited: 9

Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection
Zhihao Gu, Taiping Yao, Yang Chen, et al.
Lecture notes in computer science (2022), pp. 596-613
Closed Access | Times Cited: 13

On the effectiveness of handcrafted features for deepfake video detection
Bachir Kaddar, Sid Ahmed Fezza, Wassim Hamidouche, et al.
Journal of Electronic Imaging (2023) Vol. 32, Iss. 05
Closed Access | Times Cited: 7

Contrastive graph neural network-based camouflaged fraud detector
Zexuan Deng, Guodong Xin, Yang Liu, et al.
Information Sciences (2022) Vol. 618, pp. 39-52
Closed Access | Times Cited: 12

Exploring varying color spaces through representative forgery learning to improve deepfake detection
Muhammad Ahmad Amin, Yongjian Hu, Yu Guan, et al.
Digital Signal Processing (2024) Vol. 147, pp. 104426-104426
Closed Access | Times Cited: 2

Learning to Discover Forgery Cues for Face Forgery Detection
Jiahe Tian, Peng Chen, Yu Cai, et al.
IEEE Transactions on Information Forensics and Security (2024) Vol. 19, pp. 3814-3828
Open Access | Times Cited: 2

Attribute mining multi-view contrastive learning network for recommendation
Xu Yuan, Huinan Wu, Longfei Wang, et al.
Expert Systems with Applications (2024) Vol. 253, pp. 124224-124224
Closed Access | Times Cited: 2

Rethinking Open-World DeepFake Attribution with Multi-perspective Sensory Learning
Zhimin Sun, Chen Shen, Taiping Yao, et al.
International Journal of Computer Vision (2024)
Closed Access | Times Cited: 2

Learning to Reuse Distractors to Support Multiple-Choice Question Generation in Education
Semere Kiros Bitew, Amir Hadifar, Lucas Sterckx, et al.
IEEE Transactions on Learning Technologies (2022) Vol. 17, pp. 375-390
Open Access | Times Cited: 10

DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues
Kun Pan, Yifang Yin, Wei Yao, et al.
(2023), pp. 8035-8046
Open Access | Times Cited: 6

Instance Paradigm Contrastive Learning for Domain Generalization
Zining Chen, Weiqiu Wang, Zhicheng Zhao, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 2, pp. 1032-1042
Closed Access | Times Cited: 5

A comprehensive study on multimedia DeepFakes
Amal Boutadjine, Fouzi Harrag, Khaled Shaalan, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4

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