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:

Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang, Kaiyang Zhou, Yixuan Li, et al.
International Journal of Computer Vision (2024) Vol. 132, Iss. 12, pp. 5635-5662
Closed Access | Times Cited: 72

Showing 26-50 of 72 citing articles:

PowerFlowNet: Power flow approximation using message passing Graph Neural Networks
Nan Lin, Stavros Orfanoudakis, Nathan Ordonez Cardenas, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 160, pp. 110112-110112
Open Access | Times Cited: 1

EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy
Xiaoyi Cai, Siddharth Ancha, Lakshay Sharma, et al.
IEEE Transactions on Robotics (2024) Vol. 40, pp. 3756-3777
Open Access | Times Cited: 1

Evaluating AI-Based Components in Autonomous Railway Systems
Jan Roßbach, Oliver De Candido, Ahmed Hammam, et al.
Lecture notes in computer science (2024), pp. 190-203
Closed Access | Times Cited: 1

Trust Your Generator: Enhancing out of Model Scope Detection
Václav Diviš, Bastian Spatz, Marek Hrúz
(2024)
Open Access | Times Cited: 1

Segment Every Out-of-Distribution Object
Wenjie Zhao, Jia Li, Xin Dong, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024) Vol. 33, pp. 3910-3920
Closed Access | Times Cited: 1

MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning
Haoliang Wang, Chen Zhao, Feng Chen
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 1134-1143
Closed Access | Times Cited: 1

Class-wise Contrastive Prototype Learning for Semi-Supervised Classification under Intersectional Class Mismatch
Mingyu Li, Tao Zhou, Bo Han, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 8145-8156
Closed Access

The Double-Edged Sword Of Ai Safety: Balancing Anomaly Detection and OOD Generalization Via Model Anchoring
Vivek Narayanaswamy, Rushil Anirudh, Jayaraman J. Thiagarajan
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7235-7239
Closed Access

Enhancing Out-of-Distribution Detection Through Stochastic Embeddings in Self-supervised Learning
Denis Janiak, Jakub Binkowski, Piotr Bielak, et al.
Lecture notes in computer science (2024), pp. 337-351
Closed Access

Efficient Privacy-Preserving Machine Learning with Lightweight Trusted Hardware
Pengzhi Huang, Thang Hoang, Yueying Li, et al.
Proceedings on Privacy Enhancing Technologies (2024) Vol. 2024, Iss. 4, pp. 327-348
Open Access

Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers
Aryaman Gupta, Kaustav Chakraborty, Somil Bansal
(2024), pp. 9953-9959
Open Access

Revealing semantic mappings across HAR datasets
Ada Alevizaki, Nhat Pham, Niki Trigoni
(2024), pp. 93-100
Closed Access

An Anti-Forensics Video Forgery Detection Method Based on Noise Transfer Matrix Analysis
Qing Bao, Yagang Wang, Huaimiao Hua, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5341-5341
Open Access

Measuring Domain Shift in Vibration Signals to Improve Cross-Domain Diagnosis of Piston Aero Engine Faults
Pengfei Shen, Fengrong Bi, Xiaoyang Bi, et al.
Processes (2024) Vol. 12, Iss. 9, pp. 1902-1902
Open Access

A Collaborative Framework Using Multimodal Data and Adaptive Noise for Human Behavior Anomaly Detection
Guoqing Yang, Jianzhe Gao, Kejia Zhang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access

Advancing towards Safe Reinforcement Learning over Sparse Environments with Out-of-Distribution Observations: Detection and Adaptation Strategies
Aitor Martínez-Seras, Alain Andrés, Javier Del Ser
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 30, pp. 1-10
Closed Access

Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression
Javier Del Ser, Aitor Martínez-Seras, Miren Nekane Bilbao, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 31, pp. 1-8
Closed Access

Concept Visualization: Explaining the CLIP Multi-modal Embedding Using WordNet
Loris Giulivi, Giacomo Boracchi
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 28, pp. 1-9
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

ESCAPE: Energy-based Selective Adaptive Correction for Out-of-distribution 3D Human Pose Estimation
Luke Bidulka, Mohsen Gholami, Jiannan Zheng, et al.
Neurocomputing (2024), pp. 128605-128605
Closed Access

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