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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:

MGFN: Magnitude-Contrastive Glance-and-Focus Network for Weakly-Supervised Video Anomaly Detection
Yingxian Chen, Zhengzhe Liu, Baoheng Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 1, pp. 387-395
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
Peng Wu, Xuerong Zhou, Guansong Pang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 6, pp. 6074-6082
Open Access | Times Cited: 22
Domain Adaptation With Contrastive Learning for Object Detection in Satellite Imagery
Debojyoti Biswas, Jelena Tešić
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-15
Open Access | Times Cited: 9
Semantic-driven dual consistency learning for weakly supervised video anomaly detection
Yong Su, Yuyu Tan, Simin An, et al.
Pattern Recognition (2024) Vol. 157, pp. 110898-110898
Closed Access | Times Cited: 9
Real-Time Weakly Supervised Video Anomaly Detection
Hamza Karim, Keval Doshi, Yasin Yılmaz
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)
Closed Access | Times Cited: 8
Human-Scene Network: A novel baseline with self-rectifying loss for weakly supervised video anomaly detection
Snehashis Majhi, Rui Dai, Quan Kong, et al.
Computer Vision and Image Understanding (2024) Vol. 241, pp. 103955-103955
Open Access | Times Cited: 7
Weakly-Supervised Video Anomaly Detection With Snippet Anomalous Attention
Yidan Fan, Yongxin Yu, Wenhuan Lu, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 7, pp. 5480-5492
Open Access | Times Cited: 7
Diffusion-based normality pre-training for weakly supervised video anomaly detection
Suvramalya Basak, Anjali Gautam
Expert Systems with Applications (2024) Vol. 251, pp. 124013-124013
Closed Access | Times Cited: 7
Anomalies cannot materialize or vanish out of thin air: A hierarchical multiple instance learning with position-scale awareness for video anomaly detection
Yong Su, Yuyu Tan, Simin An, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124392-124392
Closed Access | Times Cited: 7
Delving into CLIP latent space for Video Anomaly Recognition
Luca Zanella, Benedetta Liberatori, Willi Menapace, et al.
Computer Vision and Image Understanding (2024), pp. 104163-104163
Closed Access | Times Cited: 5
AnomLite: Efficient Binary and Multiclass Video Anomaly Detection
Anna K. Zvereva, M. S. Kaprielova, Andrey Grabovoy
Results in Engineering (2025), pp. 104162-104162
Open Access
Two-Stage Video Violence Detection Framework Using GMFlow and CBAM-Enhanced ResNet3D
Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, et al.
Mathematics (2025) Vol. 13, Iss. 8, pp. 1226-1226
Open Access
Vision-Based Traffic Accident Detection and Anticipation: A Survey
Jianwu Fang, Jiahuan Qiao, Jianru Xue, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 4, pp. 1983-1999
Open Access | Times Cited: 11
Ensemble-Based Knowledge Distillation for Video Anomaly Detection
Burçak Asal, Ahmet Burak Can
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1032-1032
Open Access | Times Cited: 4
MC-MIL: video surveillance anomaly detection with multi-instance learning and multiple overlapped cameras
Silas S. L. Pereira, José Everardo Bessa Maia
Neural Computing and Applications (2024) Vol. 36, Iss. 18, pp. 10527-10543
Closed Access | Times Cited: 4
Adversarial diffusion for few-shot scene adaptive video anomaly detection
Yumna Zahid, Christine Zarges, Bernard Tiddeman, et al.
Neurocomputing (2024) Vol. 614, pp. 128796-128796
Closed Access | Times Cited: 4
Deep video anomaly detection in automated laboratory setting
Ali Dabouei, Jishnu Parayil Shibu, Vibhu Dalal, et al.
Expert Systems with Applications (2025), pp. 126581-126581
Open Access
Adversarial erasure network based on multi-instance learning for weakly supervised video anomaly detection
Xin Song, Penghui Liu, Suyuan Li, et al.
Neurocomputing (2025), pp. 130030-130030
Closed Access
ViCap-AD: video caption-based weakly supervised video anomaly detection
Junwoo Lim, J. Lee, Hyunji Kim, et al.
Machine Vision and Applications (2025) Vol. 36, Iss. 3
Closed Access
AnomalyNet: a spatiotemporal motion-aware CNN approach for detecting anomalies in real-world autonomous surveillance
Aqib Mumtaz, Allah Bux Sargano, Zulfiqar Habib
The Visual Computer (2024) Vol. 40, Iss. 11, pp. 7823-7844
Closed Access | Times Cited: 3
Treemil: A Multi-Instance Learning Framework for Time Series Anomaly Detection with Inexact Supervision
Chen Liu, Shibo He, Haoyu Liu, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7510-7514
Open Access | Times Cited: 3
OE-CTST: Outlier-Embedded Cross Temporal Scale Transformer for Weakly-supervised Video Anomaly Detection
Snehashis Majhi, Rui Dai, Quan Kong, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 8559-8568
Open Access | Times Cited: 3
Text Prompt with Normality Guidance for Weakly Supervised Video Anomaly Detection
Zhiwei Yang, Jing Liu, Peng Wu
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 32, pp. 18899-18908
Closed Access | Times Cited: 3
Anomaly Detection Based on a 3D Convolutional Neural Network Combining Convolutional Block Attention Module Using Merged Frames
In‐Chang Hwang, Hyun‐Soo Kang
Sensors (2023) Vol. 23, Iss. 23, pp. 9616-9616
Open Access | Times Cited: 7
TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection
Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 13552-13563
Open Access | Times Cited: 7
Person Fall Detection Using Weakly Supervised Methods
Kjartan Madsen, Zenjie Li, François Lauze, et al.
(2024), pp. 154-162
Closed Access | Times Cited: 2
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