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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:

A deep-learning framework running on edge devices for handgun and knife detection from indoor video-surveillance cameras
Daniele Berardini, Lucia Migliorelli, Alessandro Galdelli, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 19109-19127
Open Access | Times Cited: 11

Showing 11 citing articles:

Analysis of convolutional-based variational autoencoders for privacy protection in realtime video surveillance
Mallepogu Sivalakshmi, K. Rajendra Prasad, C. Shoba Bindu
Expert Systems with Applications (2025), pp. 126817-126817
Closed Access
Human Intelligent-things Interaction Application Using 6G and Deep Edge Learning
Ftoon Kedwan, Mohammed Abdur Rahman
SSRN Electronic Journal (2025)
Closed Access
A New, Robust, Adaptive, Versatile, and Scalable Abandoned Object Detection Approach Based on DeepSORT Dynamic Prompts, and Customized LLM for Smart Video Surveillance
Merve Yilmazer, Mehmet Karaköse
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2774-2774
Open Access
Bridging the gap between criminology and computer vision: A multidisciplinary approach to curb gun violence
Tyler Houser, Alan B. McMillan, Beidi Dong
Security Journal (2024)
Open Access | Times Cited: 2
Twenty-five years of real-time surveillance video analytics: a bibliometric review
Sandhya Rani Nallola, Vadivel Ayyasamy
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 69273-69306
Closed Access | Times Cited: 1
Edge artificial intelligence and super-resolution for enhanced weapon detection in video surveillance
Daniele Berardini, Lucia Migliorelli, Alessandro Galdelli, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 140, pp. 109684-109684
Open Access | Times Cited: 1
Optimizing Convolutional Neural Networks for Efficient Weapon Detection on Edge Devices
Fabián Duque, Fredy Rivera, Ricardo Manuel Arias Velásquez
2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) (2023), pp. 1-6
Closed Access | Times Cited: 2
Improving Armed People Detection on Video Surveillance Through Heuristics and Machine Learning Models
Alonso Javier Amado-Garfias, Santiago Enrique Conant-Pablos, José Carlos Ortíz-Bayliss, et al.
IEEE Access (2024) Vol. 12, pp. 111818-111831
Open Access
SafeguardNet: Enhancing Corporate Safety via Tailored Deep Transfer Learning for Threat Recognition
Nusrat Jahan, Mohammad Sayem Chowdhury, Tofayet Sultan, et al.
IEEE Access (2024) Vol. 12, pp. 113502-113517
Open Access
Effective Strategies for Enhancing Real-Time Weapons Detection in Industry
Ángel Torregrosa-Domínguez, Juan A. Álvarez-García, José L. Salazar-González, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8198-8198
Open Access
An Edge Computing-based Handgun and Knife Detection Method in IoT Video Surveillance Systems
Haibo Liu, Zhubing HU
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 11
Open Access
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