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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:

Attention-guided generator with dual discriminator GAN for real-time video anomaly detection
Rituraj Singh, Anikeit Sethi, Krishanu Saini, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 131, pp. 107830-107830
Closed Access | Times Cited: 10

Showing 10 citing articles:

Improving Anomaly Detection Methods Through Attribute Exclusion Using Isolation Forest
Albert Rachwał, Paweł Karczmarek
Lecture notes in computer science (2025), pp. 339-350
Closed Access
CVAD-GAN: Constrained video anomaly detection via generative adversarial network
Rituraj Singh, Anikeit Sethi, Krishanu Saini, et al.
Image and Vision Computing (2024) Vol. 143, pp. 104950-104950
Closed Access | Times Cited: 3
Insights and Considerations in Development and Performance Evaluation of Generative Adversarial Networks (GANs): What Radiologists Need to Know
Jeong Taek Yoon, Kyung Mi Lee, Jang-Hoon Oh, et al.
Diagnostics (2024) Vol. 14, Iss. 16, pp. 1756-1756
Open Access | Times Cited: 2
Channel based approach via faster dual prediction network for video anomaly detection
Hongjun Li, Xulin Shen, Xiaohu Sun, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 33, pp. 79281-79301
Closed Access | Times Cited: 1
AEMNet: Unsupervised Video Anomaly Detection Method Based on Attention-Enhanced Memory Networks
Linliang Zhang, Lianshan Yan, Shouxin Peng, et al.
International Journal of Pattern Recognition and Artificial Intelligence (2024) Vol. 38, Iss. 08
Closed Access
MA-GeSAN: Motion-Appearance Stream-Based Generative Self-Annotation Network Guided Self-Supervised Abnormal Event Detection in Videos
Santosh Prakash Chouhan, Mahua Bhattacharya, Gopal Krishna Sharma
Research Square (Research Square) (2024)
Open Access
Enhancing public safety: a hybrid Conv_Trans-OptBiSVM approach for real-time abnormal behavior detection in crowded environments
V Valarmathi, S. Sudha
Signal Image and Video Processing (2024) Vol. 18, Iss. 11, pp. 7513-7525
Closed Access
Generative AI in Network Security and Intrusion Detection
Siva Raja Sindiramutty, Krishna Raj V. Prabagaran, N. Z. Jhanjhi, et al.
Advances in information security, privacy, and ethics book series (2024), pp. 77-124
Closed Access
A Review of Abnormal Crowd Behavior Recognition Technology Based on Computer Vision
Rongyong Zhao, Feng Hua, Bingyu Wei, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9758-9758
Open Access
Transformer-enabled weakly supervised abnormal event detection in intelligent video surveillance systems
S. Paulraj, V. Subramaniyaswamy
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109496-109496
Closed Access
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