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:

Unsupervised Identification of Surgical Robotic Actions From Small Non-Homogeneous Datasets
Daniele Meli, Paolo Fiorini
IEEE Robotics and Automation Letters (2021) Vol. 6, Iss. 4, pp. 8205-8212
Open Access | Times Cited: 12

Showing 12 citing articles:

Concepts and Trends in Autonomy for Robot-Assisted Surgery
Paolo Fiorini, Ken Goldberg, Yunhui Liu, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 7, pp. 993-1011
Open Access | Times Cited: 48

Inductive learning of robot task knowledge from raw data and online expert feedback
Daniele Meli, Paolo Fiorini
Machine Learning (2025) Vol. 114, Iss. 4
Closed Access

Toward Autonomous Robotic Minimally Invasive Surgery: A Hybrid Framework Combining Task-Motion Planning and Dynamic Behavior Trees
Khusniddin Fozilov, Jacinto Colan, Kosuke Sekiyama, et al.
IEEE Access (2023) Vol. 11, pp. 91206-91224
Open Access | Times Cited: 8

COMPASS: a formal framework and aggregate dataset for generalized surgical procedure modeling
Kay Hutchinson, Ian Reyes, Zongyu Li, et al.
International Journal of Computer Assisted Radiology and Surgery (2023) Vol. 18, Iss. 12, pp. 2143-2154
Closed Access | Times Cited: 5

Evaluating the Task Generalization of Temporal Convolutional Networks for Surgical Gesture and Motion Recognition Using Kinematic Data
Kay Hutchinson, Ian Reyes, Zongyu Li, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 8, pp. 5132-5139
Open Access | Times Cited: 5

Mapping natural language procedures descriptions to linear temporal logic templates: an application in the surgical robotic domain
Marco Bombieri, Daniele Meli, Diego Dall’Alba, et al.
Applied Intelligence (2023) Vol. 53, Iss. 22, pp. 26351-26363
Open Access | Times Cited: 5

Inductive learning of answer set programs for autonomous surgical task planning
Daniele Meli, Mohan Sridharan, Paolo Fiorini
Machine Learning (2021) Vol. 110, Iss. 7, pp. 1739-1763
Open Access | Times Cited: 11

Task Segmentation Based on Transition State Clustering for Surgical Robot Assistance
Yutaro Yamada, Jacinto Colan, Ana Davila, et al.
(2023), pp. 260-264
Open Access | Times Cited: 4

Robotic Constrained Imitation Learning for the Peg Transfer Task in Fundamentals of Laparoscopic Surgery
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
(2024), pp. 606-612
Open Access | Times Cited: 1

Towards Surgical Context Inference and Translation to Gestures
Kay Hutchinson, Zongyu Li, Ian Reyes, et al.
(2023)
Open Access | Times Cited: 2

Is Weakly-Supervised Action Segmentation Ready for Human-Robot Interaction? No, Let's Improve It with Action-Union Learning
Fan Yang, Shigeyuki Odashima, Shoichi Masui, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2023), pp. 9800-9807
Closed Access | Times Cited: 1

Master of Puppets: Multi-modal Robot Activity Segmentation from Teleoperated Demonstrations
Claudio Coppola, Lorenzo Jamone
(2022), pp. 88-94
Closed Access | Times Cited: 2

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