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:

Multimodal Distillation for Egocentric Action Recognition
Gorjan Radevski, Dusan Grujicic, Matthew B. Blaschko, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 5190-5201
Open Access | Times Cited: 7

Showing 7 citing articles:

Foundations & Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
Paul Pu Liang, Amir Zadeh, Louis‐Philippe Morency
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-42
Open Access | Times Cited: 24

An Outlook into the Future of Egocentric Vision
Chiara Plizzari, Gabriele Goletto, Antonino Furnari, et al.
International Journal of Computer Vision (2024) Vol. 132, Iss. 11, pp. 4880-4936
Open Access | Times Cited: 12

EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World
Yifei Huang, Guo Chen, Jilan Xu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 22072-22086
Closed Access | Times Cited: 4

Adversarially Regularized Tri-Transformer Fusion for continual multimodal egocentric activity recognition
S. Zhou, Hanxin Wang, Qingbo Wu, et al.
Displays (2025), pp. 102992-102992
Closed Access

Privacy-Safe Action Recognition via Cross-Modality Distillation
Yuhyun Kim, Jinwook Jung, Hyeoncheol Noh, et al.
IEEE Access (2024) Vol. 12, pp. 125955-125965
Open Access

Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition
Masashi Hatano, Ryo Hachiuma, Ryo Fujii, et al.
Lecture notes in computer science (2024), pp. 182-199
Closed Access

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