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:

Abnormal event detection using adversarial predictive coding for motion and appearance
Jongmin Yu, Jung-Gyun Kim, Jeonghwan Gwak, et al.
Information Sciences (2021) Vol. 586, pp. 59-73
Closed Access | Times Cited: 21

Showing 21 citing articles:

CFERE: Multi-type Chinese financial event relation extraction
Qizhi Wan, Changxuan Wan, Keli Xiao, et al.
Information Sciences (2023) Vol. 630, pp. 119-134
Closed Access | Times Cited: 18

A survey on cross-media search based on user intention understanding in social networks
Lei Shi, Jia Luo, Chuangying Zhu, et al.
Information Fusion (2022) Vol. 91, pp. 566-581
Closed Access | Times Cited: 26

PVASS-MDD: Predictive Visual-Audio Alignment Self-Supervision for Multimodal Deepfake Detection
Yang Yu, Xiaolong Liu, Rongrong Ni, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 8, pp. 6926-6936
Closed Access | Times Cited: 13

Transformer-based Spatio-Temporal Unsupervised Traffic Anomaly Detection in Aerial Videos
Tung Tran, Doanh C. Bui, Tam Nguyen, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 9, pp. 8292-8309
Closed Access | Times Cited: 4

Anomaly Analysis in Images and Videos: A Comprehensive Review
Tung Tran, Tu N. Vu, Nguyen D. Vo, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 7, pp. 1-37
Closed Access | Times Cited: 13

The use of convolutional neural networks for abnormal behavior recognition in crowd scenes
Yangkai Wu, L. Qiu, Jinming Wang, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103880-103880
Closed Access | Times Cited: 2

Predicting multi-subsequent events and actors in public health emergencies: An event-based knowledge graph approach
Zhen Yan, Xiao Zhou, Qiuyun Zhang, et al.
Computers & Industrial Engineering (2023) Vol. 187, pp. 109852-109852
Closed Access | Times Cited: 5

Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos - a Survey
Leonard Matheus Wastupranata, Seong G. Kong
(2024)
Closed Access | Times Cited: 1

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

Video anomaly detection using diverse motion-conditioned adversarial predictive network
Jiaqi Wang, Genlin Ji, Bin Zhao
Neural Computing and Applications (2024) Vol. 36, Iss. 30, pp. 18645-18659
Closed Access | Times Cited: 1

RAG-PaDiM: Residual Attention Guided PaDiM for Defects Segmentation in Railway Tracks
Inki Kim, Younghoon Jeon, Jeong Won Kang, et al.
Journal of Electrical Engineering and Technology (2022) Vol. 18, Iss. 2, pp. 1429-1438
Closed Access | Times Cited: 7

A hybrid learning frame work for recognition abnormal events intended from surveillance videos
A. Babiyola, S. Aruna, S. Sumithra, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 1, pp. 1089-1102
Closed Access | Times Cited: 3

Multi-task Transfer Learning Facilitated by Segmentation and Denoising for Anomaly Detection of Rail Fasteners
Beomjun Kim, Younghoon Jeon, Jeongwon Kang, et al.
Journal of Electrical Engineering and Technology (2022) Vol. 18, Iss. 3, pp. 2383-2394
Closed Access | Times Cited: 4

Fog-Assisted Abnormal Motion Detection System: A Semantic Ontology Approach
R. S. Amshavalli, J. Kalaivani
Circuits Systems and Signal Processing (2024) Vol. 43, Iss. 9, pp. 5933-5963
Closed Access

Abnormal Detection in Nuclear Security Videos Based on Label-specific Autoencoders and Reconstruction Errors Comparison
Zhan Li, Xingyu Song, Shi Chen, et al.
Nuclear Engineering and Technology (2024) Vol. 57, Iss. 3, pp. 103239-103239
Open Access

MP-Abr: a framework for intelligent recognition of abnormal behaviour in multi-person scenarios
XiangQing Dong, XiChao Wang, Baojiang Li, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 18, pp. 55605-55626
Closed Access | Times Cited: 1

Abnormal Event Detection of Tourist Attraction Traffic Fortress Based on YOLOv5-C3D
Yanling Jiang, Min Zhu, Jun Peng, et al.
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (2023), pp. 1-6
Closed Access

Abnormal event detection based on masked reconstruction and dual-channel adversarial prediction
Lunzheng Tan, Yu Weng, Limin Xia, et al.
Journal of Electronic Imaging (2023) Vol. 32, Iss. 06
Closed Access

RETRACTED: GDJN: Global density joined network for abnormal event detection in surveillance videos
D. Siva Senthil, T. S. Sivarani
Journal of Intelligent & Fuzzy Systems (2023) Vol. 46, Iss. 2, pp. 3933-3944
Closed Access

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