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:

Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
Quazi Marufur Rahman, Peter Corke, Feras Dayoub
IEEE Access (2021) Vol. 9, pp. 20067-20075
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering
Jianqi Zhang, Yang Xu, Wei Wang, et al.
Automation in Construction (2022) Vol. 146, pp. 104699-104699
Closed Access | Times Cited: 84

Artificial Intelligence for Safety-Critical Systems in Industrial and Transportation Domains: A Survey
Jon Pérez, Jaume Abella, Markus Borg, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 7, pp. 1-40
Open Access | Times Cited: 32

A Survey on an Emerging Safety Challenge for Autonomous Vehicles: Safety of the Intended Functionality
Hong Wang, Wenbo Shao, Chen Sun, et al.
Engineering (2024) Vol. 33, pp. 17-34
Open Access | Times Cited: 12

Monitoring of perception systems: Deterministic, probabilistic, and learning-based fault detection and identification
Pasquale Antonante, Heath Nilsen, Luca Carlone
Artificial Intelligence (2023) Vol. 325, pp. 103998-103998
Open Access | Times Cited: 15

System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
Sepehr Sharifi, Andrea Stocco, Lionel Briand
ACM Transactions on Software Engineering and Methodology (2025)
Open Access

CONCERN: A model-based monitoring infrastructure
Antonello Calabrò, Eda Marchetti, PawełSkrzypek, et al.
Internet of Things (2025), pp. 101557-101557
Open Access

Safety Monitoring of Machine Learning Perception Functions: A Survey
Raúl Ferreira, Joris Guérin, Kévin Delmas, et al.
Computational Intelligence (2025) Vol. 41, Iss. 2
Open Access

FSNet: A Failure Detection Framework for Semantic Segmentation
Quazi Marufur Rahman, Niko Sünderhauf, Peter Corke, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 3030-3037
Open Access | Times Cited: 18

Into the Unknown: Active Monitoring of Neural Networks
Anna Lukina, Christian Schilling, Thomas A. Henzinger
Lecture notes in computer science (2021), pp. 42-61
Closed Access | Times Cited: 22

Out-of-Distribution Detection for Deep Neural Networks With Isolation Forest and Local Outlier Factor
Siyu Luan, Zonghua Gu, Leonid B. Freidovich, et al.
IEEE Access (2021) Vol. 9, pp. 132980-132989
Open Access | Times Cited: 22

Monophonic Music Generation With a Given Emotion Using Conditional Variational Autoencoder
Jacek Grekow, Teodora Dimitrova-Grekow
IEEE Access (2021) Vol. 9, pp. 129088-129101
Open Access | Times Cited: 22

An Animation Character Robot That Increases Sales
Reo Matsumura, Masahiro Shiomi
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1724-1724
Open Access | Times Cited: 14

MOTEF: A Testing Framework for Runtime Monitoring Infrastructures
Antonello Calabrò, Eda Marchetti
IEEE Access (2024) Vol. 12, pp. 38005-38016
Open Access | Times Cited: 2

Evaluation of Runtime Monitoring for UAV Emergency Landing
Joris Guérin, Kévin Delmas, Jérémie Guiochet
2022 International Conference on Robotics and Automation (ICRA) (2022), pp. 9703-9709
Open Access | Times Cited: 12

Towards enhanced monitoring framework with smart predictions
Antonello Calabrò, Said Daoudagh, Eda Marchetti
Logic Journal of IGPL (2024) Vol. 32, Iss. 2, pp. 321-333
Closed Access | Times Cited: 2

Development of an Artificial Vision for a Parallel Manipulator Using Machine-to-Machine Technologies
Arailym Nussibaliyeva, Gani Sergazin, Gulzhamal Tursunbayeva, et al.
Sensors (2024) Vol. 24, Iss. 12, pp. 3792-3792
Open Access | Times Cited: 2

Safety in Wearable Robotic Exoskeletons: Design, Control, and Testing Guidelines
Ali Nasr, Keaton A. Inkol, John McPhee
Journal of Mechanisms and Robotics (2024) Vol. 17, Iss. 5
Closed Access | Times Cited: 2

Unifying Evaluation of Machine Learning Safety Monitors
Joris Guérin, Raúl Ferreira, Kévin Delmas, et al.
(2022), pp. 414-422
Open Access | Times Cited: 8

Real-Time Evaluation of Perception Uncertainty and Validity Verification of Autonomous Driving
Mingliang Yang, Kun Jiang, Junze Wen, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2867-2867
Open Access | Times Cited: 4

On the role and opportunities in teamwork design for advanced multi-robot search systems
Roee M. Francos, Alfred M. Bruckstein⋆
Frontiers in Robotics and AI (2023) Vol. 10
Open Access | Times Cited: 4

LUNA: A Model-Based Universal Analysis Framework for Large Language Models
Da Song, Xuan Xie, Jiayang Song, et al.
IEEE Transactions on Software Engineering (2024) Vol. 50, Iss. 7, pp. 1921-1948
Closed Access | Times Cited: 1

Real-Time Diagnostic Technique for AI-Enabled System
Hiroaki Itsuji, Takumi Uezono, Tadanobu Toba, et al.
IEEE Open Journal of Intelligent Transportation Systems (2024) Vol. 5, pp. 483-494
Open Access | Times Cited: 1

Introspection of DNN-Based Perception Functions in Automated Driving Systems: State-of-the-Art and Open Research Challenges
Hakan Yekta Yatbaz, Mehrdad Dianati, Roger Woodman
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 2, pp. 1112-1130
Open Access | Times Cited: 3

Enhancing Safety Assurance for Automated Driving Systems by Supporting Operation Simulation and Data Analysis
P. P. Su, ShuTing Kang, Kaveh Nazem Tahmasebi, et al.
(2023), pp. 249-256
Open Access | Times Cited: 3

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