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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:

Deep Video Anomaly Detection: Opportunities and Challenges
Jing Ren, Feng Xia, Yemeng Liu, et al.
2021 International Conference on Data Mining Workshops (ICDMW) (2021), pp. 959-966
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Deepfake video detection: challenges and opportunities
Achhardeep Kaur, Azadeh Noori Hoshyar, Vidya Saikrishna, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Closed Access | Times Cited: 14
Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance
Sabah Abdulazeez Jebur, Khalid Ali Hussein, Haider K. Hoomod, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 29-29
Open Access | Times Cited: 43
AMP-Net: Appearance-Motion Prototype Network Assisted Automatic Video Anomaly Detection System
Yang Liu, Jing Liu, Kun Yang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 2843-2855
Closed Access | Times Cited: 38
An IoT Enable Anomaly Detection System for Smart City Surveillance
Muhammad Islam, Abdulsalam S. Dukyil, Saleh Alyahya, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2358-2358
Open Access | Times Cited: 21
Exploring Diffusion Models for Unsupervised Video Anomaly Detection
Anıl Osman Tur, Nicola Dall’Asen, Cigdem Beyan, et al.
2022 IEEE International Conference on Image Processing (ICIP) (2023), pp. 2540-2544
Open Access | Times Cited: 20
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
Taxonomy of Anomaly Detection Techniques in Crowd Scenes
Amnah Aldayri, Waleed Albattah
Sensors (2022) Vol. 22, Iss. 16, pp. 6080-6080
Open Access | Times Cited: 23
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
Multiple Instance Learning for Cheating Detection and Localization in Online Examinations
Yemeng Liu, Jing Ren, Jianshuo Xu, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 16, Iss. 4, pp. 1315-1326
Open Access | Times Cited: 3
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations
Anıl Osman Tur, Nicola Dall’Asen, Cigdem Beyan, et al.
Lecture notes in computer science (2023), pp. 49-62
Closed Access | Times Cited: 9
A critical study on the recent deep learning based semi-supervised video anomaly detection methods
Mohammad Baradaran, Robert Bergevin
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27761-27807
Open Access | Times Cited: 8
Real‐time video anomaly detection for smart surveillance
Manal Mostafa Ali
IET Image Processing (2022) Vol. 17, Iss. 5, pp. 1375-1388
Open Access | Times Cited: 13
ML Models for Detecting QoE Degradation in Low-Latency Applications: A Cloud-Gaming Case Study
Joël Roman Ky, Bertrand Mathieu, Abdelkader Lahmadi, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 3, pp. 2295-2308
Open Access | Times Cited: 5
Multimedia datasets for anomaly detection: a review
Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 56785-56835
Closed Access | Times Cited: 5
Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos—A Survey
Leonard Matheus Wastupranata, Seong G. Kong, Lipo Wang
Electronics (2024) Vol. 13, Iss. 13, pp. 2579-2579
Open Access | Times Cited: 1
The Role of Deep Learning Models in the Detection of Anti-Social Behaviours towards Women in Public Transport from Surveillance Videos: A Scoping Review
Marcella Bernardo, Umair Iqbal, Johan Barthélemy, et al.
Safety (2023) Vol. 9, Iss. 4, pp. 91-91
Open Access | Times Cited: 4
Massive Crowd Abnormal Behaviors Recognition Using C3D
Reem Alharthi, Areej Alhothali, Bander Alzahrani, et al.
2023 IEEE International Conference on Consumer Electronics (ICCE) (2023), pp. 01-06
Closed Access | Times Cited: 3
Survey on video anomaly detection in dynamic scenes with moving cameras
Runyu Jiao, Yi Wan, Fabio Poiesi, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S3, pp. 3515-3570
Closed Access | Times Cited: 3
Efficient anomaly recognition using surveillance videos
Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza, et al.
PeerJ Computer Science (2022) Vol. 8, pp. e1117-e1117
Open Access | Times Cited: 5
An adaptive algorithm based on principal component analysis-deep learning for anomalous events detection
Zainab Abbas, Ayad A. Al-Ani
Indonesian Journal of Electrical Engineering and Computer Science (2022) Vol. 29, Iss. 1, pp. 421-421
Open Access | Times Cited: 4
A comprehensive analysis of real-time video anomaly detection methods for human and vehicular movement
Iroshan Pathirannahalage, Vidura Jayasooriya, Jagath Samarabandu, et al.
Multimedia Tools and Applications (2024)
Closed Access
Design and Implementation of Video Surveillance Identification System in Smart Campus
Zixiao Mo
(2024), pp. 343-347
Closed Access
ResNet-101 based anomaly detection in additive manufacturing: Thermal modeling for quality control in heat exchanger production
Kai Guo, Hao Li, Biao Li, et al.
Thermal Science and Engineering Progress (2024), pp. 102923-102923
Closed Access
Comparative Study of Mask R-CNN and PointRend for Surveillance Video Human Segmentation: Accuracy, History, Evaluation Datasets, Challenge Classification, and Future Prospects
Ahmed R. A. Shamsan, M Suresha, Amani Ali Ahmed Ali, et al.
Studies in systems, decision and control (2024), pp. 1025-1037
Closed Access
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