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:

Real-time human action recognition using raw depth video-based recurrent neural networks
A. Sánchez-Caballero, David Fuentes-Jiménez, Cristina Losada
Multimedia Tools and Applications (2022) Vol. 82, Iss. 11, pp. 16213-16235
Open Access | Times Cited: 16

Showing 16 citing articles:

Human Action Recognition From Various Data Modalities: A Review
Zehua Sun, Qiuhong Ke, Hossein Rahmani, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), pp. 1-20
Open Access | Times Cited: 342

Dual-View Spatio-Temporal Interactive Network for Video Human Action Recognition
Hanbo Wu, Xin Ma
Lecture notes in computer science (2025), pp. 217-231
Closed Access

Multi-view key information representation and multi-modal fusion for single-subject routine action recognition
Xin Chao, Genlin Ji, Xiaosha Qi
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3222-3244
Closed Access | Times Cited: 2

Human activity recognition using a single-photon direct time-of-flight sensor
Germán Mora Martín, Stirling Scholes, Robert Henderson, et al.
Optics Express (2024) Vol. 32, Iss. 10, pp. 16645-16645
Open Access | Times Cited: 2

Application of Event Cameras and Neuromorphic Computing to VSLAM: A Survey
Sangay Tenzin, Alexander Rassau, Douglas Chai
Biomimetics (2024) Vol. 9, Iss. 7, pp. 444-444
Open Access | Times Cited: 2

ConvST-LSTM-Net: convolutional spatiotemporal LSTM networks for skeleton-based human action recognition
Abhilasha Sharma, Roshni Singh
International Journal of Multimedia Information Retrieval (2023) Vol. 12, Iss. 2
Closed Access | Times Cited: 6

Application of Event Cameras and Neuromorphic Computing to VSLAM: A Survey
Sangay Tenzin, Alexander Rassau, Douglas Chai
(2024)
Open Access | Times Cited: 1

Biosensor-Based Multimodal Deep Human Locomotion Decoding via Internet of Healthcare Things
Madiha Javeed, Maha Abdelhaq, Asaad Algarni, et al.
Micromachines (2023) Vol. 14, Iss. 12, pp. 2204-2204
Open Access | Times Cited: 3

Body-Pose-Guided Action Recognition with Convolutional Long Short-Term Memory (LSTM) in Aerial Videos
SHAIKHZADEH NAJAR Saeed, Hassan Akbar, Tahir Nawaz, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9384-9384
Open Access | Times Cited: 3

Human Action Recognition and Note Recognition: A Deep Learning Approach Using STA-GCN
Avirmed Enkhbat, Timothy K. Shih, Pimpa Cheewaprakobkit
Sensors (2024) Vol. 24, Iss. 8, pp. 2519-2519
Open Access

Aqua-Farm fish behavior analysis using machine learning
Noor Shiha, Nevien Abdelkhalek, Mohamed M. Refaey, et al.
(2023), pp. 418-423
Closed Access | Times Cited: 1

Human Action Recognition in Uncontrolled Environments: Application from Artificial Intelligence to Contactless Interfaces
Vanessa Alvear, César Domínguez, Gadea Mata
Lecture notes in networks and systems (2023), pp. 256-261
Closed Access

The effect of vortex formation on the operability of pipe systems of steam generators of marine nuclear power installations
Olga Mitrofanova, О.А. Ивлев, А.В. Федоринов
МОРСКИЕ ИНТЕЛЛЕКТУАЛЬНЫЕ ТЕХНОЛОГИИ (2023) Vol. 1, Iss. 4(62), pp. 95-102
Open Access

Formation of the structure of an intelligent system for automatic control of a marine engine
А.И. Епихин, Е.В. Хекерт
МОРСКИЕ ИНТЕЛЛЕКТУАЛЬНЫЕ ТЕХНОЛОГИИ (2023) Vol. 1, Iss. 4(62), pp. 79-84
Open Access

Current thermophysical research in order to improve shipboard nuclear power installations
Olga Mitrofanova, О.А. Ивлев
МОРСКИЕ ИНТЕЛЛЕКТУАЛЬНЫЕ ТЕХНОЛОГИИ (2023) Vol. 1, Iss. 4(62), pp. 85-94
Open Access

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