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:

Generative Adversarial Networks
Amey Thakur
International Journal for Research in Applied Science and Engineering Technology (2021) Vol. 9, Iss. 8, pp. 2307-2325
Open Access | Times Cited: 176

Showing 1-25 of 176 citing articles:

MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets
Corentin Hardy, Erwan Le Merrer, Bruno Séricola
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS) (2019), pp. 866-877
Open Access | Times Cited: 163

Super-Resolution-Based Change Detection Network With Stacked Attention Module for Images With Different Resolutions
Mengxi Liu, Qian Shi, Andrea Marinoni, et al.
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-18
Open Access | Times Cited: 134

Follow Your Pose: Pose-Guided Text-to-Video Generation Using Pose-Free Videos
Yue Ma, Yingqing He, Xiaodong Cun, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 5, pp. 4117-4125
Open Access | Times Cited: 40

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
Yingpeng Du, Di Luo, Rui Yan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 8363-8371
Open Access | Times Cited: 22

Developing GANs for Synthetic Medical ImagingData: Enhancing Training and Research
Abhishek Thakur, Gopal Kumar Thakur
International Journal of Advanced Multidisciplinary Research (2024) Vol. 11, Iss. 1, pp. 70-82
Open Access | Times Cited: 18

AG3D: Learning to Generate 3D Avatars from 2D Image Collections
Zijian Dong, Xu Chen, Jinlong Yang, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023)
Open Access | Times Cited: 28

LDMVFI: Video Frame Interpolation with Latent Diffusion Models
Duolikun Danier, Fan Zhang, David Bull
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 2, pp. 1472-1480
Open Access | Times Cited: 12

Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models
Ruichen Wang, Zekang Chen, Chen Chen, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 5544-5552
Open Access | Times Cited: 10

PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings
Dani Kiyasseh, Girmaw Abebe Tadesse, Le Nguyen Thanh Nhan, et al.
IEEE Journal of Biomedical and Health Informatics (2020) Vol. 24, Iss. 11, pp. 3226-3235
Open Access | Times Cited: 63

Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework
Weixi Weng, Chun Yuan
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 5912-5920
Open Access | Times Cited: 7

Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition
Jiadong Wang, Zexu Pan, Malu Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19144-19152
Open Access | Times Cited: 6

Putting artificial intelligence (AI) on the spot: machine learning evaluation of pulmonary nodules
Yasmeen K. Tandon, Brian J. Bartholmai, Chi Wan Koo
Journal of Thoracic Disease (2020) Vol. 12, Iss. 11, pp. 6954-6965
Open Access | Times Cited: 41

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation
Shuang Zhou, Xiao Huang, Ninghao Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 12, pp. 12721-12735
Open Access | Times Cited: 14

Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology
Carla Pitarch, Gülnur Ungan, Margarida Julià‐Sapé, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 300-300
Open Access | Times Cited: 5

VEGF-ERCNN: A Deep Learning-based Model for Prediction of Vascular Endothelial Growth Factor using Ensemble Residual CNN
Farman Ali, Majdi Khalid, Atef Masmoudi, et al.
Journal of Computational Science (2024), pp. 102448-102448
Closed Access | Times Cited: 5

MuST: Robust Image Watermarking for Multi-Source Tracing
Guanjie Wang, Zehua Ma, Chang Liu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 5364-5371
Open Access | Times Cited: 4

NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs
Sihwa Park, Seong-Jun Kim, Doeyoung Kwon, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 5, pp. 4433-4441
Open Access | Times Cited: 4

Unpaired Downscaling of Fluid Flows with Diffusion Bridges
Tobias Bischoff, Katherine M. Deck
Artificial Intelligence for the Earth Systems (2024)
Open Access | Times Cited: 4

Progressive Growing of Generative Adversarial Networks (PGGAN) Approach to Synthesize Medical Images
Vishal Raner, Amit Joshi, Suraj Sawant, et al.
(2025), pp. 157-176
Closed Access

Machine learning for inverse design of acoustic and elastic metamaterials
Krupali Donda, Pankit Brahmkhatri, Yifan Zhu, et al.
Current Opinion in Solid State and Materials Science (2025) Vol. 35, pp. 101218-101218
Open Access

A missing multimodal imputation diffusion model for 2D X-ray and 3D CT in COVID-19 diagnosis
Z. Gao, Dong Chen, Yiqing Shen
Expert Systems with Applications (2025), pp. 127367-127367
Closed Access

Contrastive learning fault diagnosis method for winder chuck based on adaptive sample augmentation and pseudo-label correction
Xueyi Zhao, Junliang Wang, Jie Ren, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-22
Closed Access

Memory-Guided Hierarchical Feature Reconstruction for Multi-class Unsupervised Anomaly Detection
Kai Huang, Shubo Zhou, Weiyu Hu, et al.
Communications in computer and information science (2025), pp. 228-241
Closed Access

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