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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:

Out-of-Distribution (OOD) Detection Based on Deep Learning: A Review
Peng Cui, Jinjia Wang
Electronics (2022) Vol. 11, Iss. 21, pp. 3500-3500
Open Access | Times Cited: 19

Showing 19 citing articles:

Out-of-Distribution Data: An Acquaintance of Adversarial Examples - A Survey
Naveen Karunanayake, Ravin Gunawardena, Suranga Seneviratne, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 1
AI-assisted Monitoring of Human-centered Assembly: A Comprehensive Review
Vignesh Selvaraj, Sangkee Min
International Journal of Precision Engineering and Manufacturing-Smart Technology (2023) Vol. 1, Iss. 2, pp. 201-218
Closed Access | Times Cited: 11
Self-Aware Trajectory Prediction for Safe Autonomous Driving
Wenbo Shao, Jun Li, Hong Wang
2022 IEEE Intelligent Vehicles Symposium (IV) (2023), pp. 1-8
Open Access | Times Cited: 5
Out-of-Distribution (OOD) Detection and Generalization Improved by Augmenting Adversarial Mixup Samples
Kyungpil Gwon, Joonhyuk Yoo
Electronics (2023) Vol. 12, Iss. 6, pp. 1421-1421
Open Access | Times Cited: 3
When Is It Likely to Fail? Performance Monitor for Black-Box Trajectory Prediction Model
Wenbo Shao, Boqi Li, Wenhao Yu, et al.
(2023)
Open Access | Times Cited: 2
Leveraging Visual Attention for out-of-distribution Detection
Luca Cultrera, Lorenzo Seidenari, Alberto Del Bimbo
(2023), pp. 4449-4458
Closed Access | Times Cited: 2
Intelligent Decision Support for Target Tracking Analysis and Characterization
Hunter M. Ray, Nicholas Conlon, Nisar Ahmed, et al.
AIAA SCITECH 2022 Forum (2024)
Closed Access
A Probability Gradient Based Approach for Sampling Boundaries of In-Domain Data
Jing Miao, Vidhyasaharan Sethu, Beena Ahmed
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 5340-5344
Closed Access
Few-Shot Learning with Novelty Detection
Kim Bjerge, Paul Bodesheim, Henrik Karstoft
Communications in computer and information science (2024), pp. 340-363
Closed Access
Deep learning in standard least-squares theory of linear models: Perspective, development and vision
Alireza Amiri-Simkooei, Christian Tiberius, Roderik Lindenbergh
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109376-109376
Open Access
Hierarchical Attention Module-Based Hotspot Detection in Wafer Fabrication Using Convolutional Neural Network Model
Mobeen Shahroz, Mudasir Ali, Alishba Tahir, et al.
IEEE Access (2024) Vol. 12, pp. 92840-92855
Open Access
Leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs
B.C. Ashmore, Lingwei Chen
Lecture notes in computer science (2024), pp. 68-83
Closed Access
Unveiling the unseen: novel strategies for object detection beyond known distributions
S Anjali Devi, R. Dayana, P. Malarvezhi
Pattern Analysis and Applications (2024) Vol. 27, Iss. 4
Closed Access
Visual Information Guided Multi-modal Model for Plant Disease Anomaly Detection
Jiuqing Dong, Yifan Yao, Alvaro Fuentes, et al.
Smart Agricultural Technology (2024), pp. 100568-100568
Open Access
Exploring distribution-based approaches for out-of-distribution detection in deep learning models
Thiago Carvalho, Marley Vellasco, José Franco Amaral
Neural Computing and Applications (2024)
Closed Access
When Is It Likely to Fail? Performance Monitor for Black-Box Trajectory Prediction Model
Wenbo Shao, Boqi Li, Wenhao Yu, et al.
(2023)
Open Access | Times Cited: 1
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems
Harry Li, Steven M. Jorgensen, John T. Holodnak, et al.
arXiv (Cornell University) (2023)
Open Access
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems
Harry Li, Steven M. Jorgensen, John T. Holodnak, et al.
(2023), pp. 246-250
Closed Access
Graph Structure Based Vehicle Trajectory Prediction
Ningjun Dang, Yifang Gao, Xinwei Zhou
(2023), pp. 406-411
Closed Access
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