OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Learning Gait Representations with Noisy Multi-Task Learning
Adrian Cosma, Emilian Rădoi
Sensors (2022) Vol. 22, Iss. 18, pp. 6803-6803
Open Access | Times Cited: 8

Showing 8 citing articles:

PsyMo: A Dataset for Estimating Self-Reported Psychological Traits from Gait
Adrian Cosma, Emilian Rădoi
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 4591-4601
Open Access | Times Cited: 2

GaitPT: Skeletons are All You Need for Gait Recognition
Andy Cătrună, Adrian Cosma, Emilian Rădoi
(2024), pp. 1-10
Open Access | Times Cited: 2

Exploring Self-Supervised Vision Transformers for Gait Recognition in the Wild
Adrian Cosma, Andy Cătrună, Emilian Rădoi
Sensors (2023) Vol. 23, Iss. 5, pp. 2680-2680
Open Access | Times Cited: 6

Gait Recognition from Highly Compressed Videos
Andrei Niculae, Andy Cătrună, Adrian Cosma, et al.
(2024), pp. 1-7
Open Access

Aligning Actions and Walking to LLM-Generated Textual Descriptions
Radu Chivereanu, Adrian Cosma, Andy Cătrună, et al.
(2024), pp. 1-7
Open Access

Identifying Human Movement Patterns: Multivariate Gait Analysis Through Machine Learning
Raunak Kumar, Usha Mittal, Priyanka Chawla
Lecture notes in networks and systems (2024), pp. 13-22
Closed Access

GaitMorph: Transforming Gait by Optimally Transporting Discrete Codes
Adrian Cosma, Emilian Rădoi
(2023), pp. 1-11
Open Access | Times Cited: 1

Page 1

Scroll to top