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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:

Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy
Sara Moccia, Sebastian Wirkert, Hannes Kenngott, et al.
IEEE Transactions on Biomedical Engineering (2018) Vol. 65, Iss. 11, pp. 2649-2659
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Explainable Deep Learning Models in Medical Image Analysis
Amitojdeep Singh, Sourya Sengupta, Vasudevan Lakshminarayanan
Journal of Imaging (2020) Vol. 6, Iss. 6, pp. 52-52
Open Access | Times Cited: 532
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain, et al.
Information Fusion (2021) Vol. 76, pp. 243-297
Open Access | Times Cited: 257
Surgical data science – from concepts toward clinical translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya, et al.
Medical Image Analysis (2021) Vol. 76, pp. 102306-102306
Open Access | Times Cited: 220
Surgical spectral imaging
Neil T. Clancy, Geoffrey Jones, Lena Maier‐Hein, et al.
Medical Image Analysis (2020) Vol. 63, pp. 101699-101699
Open Access | Times Cited: 118
Deep Learning Based Robotic Tool Detection and Articulation Estimation With Spatio-Temporal Layers
Emanuele Colleoni, Sara Moccia, Xiaofei Du, et al.
IEEE Robotics and Automation Letters (2019) Vol. 4, Iss. 3, pp. 2714-2721
Open Access | Times Cited: 102
Robust deep learning-based semantic organ segmentation in hyperspectral images
Silvia Seidlitz, Jan Sellner, Jan Odenthal, et al.
Medical Image Analysis (2022) Vol. 80, pp. 102488-102488
Open Access | Times Cited: 50
Confident texture-based laryngeal tissue classification for early stage diagnosis support
Sara Moccia, Elena De Momi, Marco Guarnaschelli, et al.
Journal of Medical Imaging (2017) Vol. 4, Iss. 03, pp. 1-1
Open Access | Times Cited: 70
Preterm Infants’ Pose Estimation With Spatio-Temporal Features
Sara Moccia, Lucia Migliorelli, Virgilio Carnielli, et al.
IEEE Transactions on Biomedical Engineering (2019) Vol. 67, Iss. 8, pp. 2370-2380
Open Access | Times Cited: 55
Review of surgical robotic systems for keyhole and endoscopic procedures: state of the art and perspectives
Yuyang Chen, Shu’an Zhang, Zhonghao Wu, et al.
Frontiers of Medicine (2020) Vol. 14, Iss. 4, pp. 382-403
Closed Access | Times Cited: 53
Spectral organ fingerprints for machine learning-based intraoperative tissue classification with hyperspectral imaging in a porcine model
Alexander Studier‐Fischer, Silvia Seidlitz, Jan Sellner, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 30
Learning-based classification of informative laryngoscopic frames
Sara Moccia, Gabriele Omodeo Vanone, Elena De Momi, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 158, pp. 21-30
Open Access | Times Cited: 52
A Review on Advances in Intra-operative Imaging for Surgery and Therapy: Imagining the Operating Room of the Future
Paolo Zaffino, Sara Moccia, Elena De Momi, et al.
Annals of Biomedical Engineering (2020) Vol. 48, Iss. 8, pp. 2171-2191
Open Access | Times Cited: 48
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery
Emanuele Colleoni, Philip Edwards, Danail Stoyanov
Lecture notes in computer science (2020), pp. 700-710
Closed Access | Times Cited: 44
Grading diabetic retinopathy and prostate cancer diagnostic images with deep quantum ordinal regression
Santiago Toledo-Cortés, Diego H. Useche, Henning Müller, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105472-105472
Open Access | Times Cited: 24
XAI Technique in Deep Learning–Based Medical Image Analysis
Deepak Kumar, S Porwal, Rishabha Malviya, et al.
(2025), pp. 191-215
Closed Access
Deep learning for semantic segmentation of organs and tissues in laparoscopic surgery
Paul Maria Scheikl, Stefan Laschewski, Anna Kisilenko, et al.
Current Directions in Biomedical Engineering (2020) Vol. 6, Iss. 1
Open Access | Times Cited: 33
Vision techniques for anatomical structures in laparoscopic surgery: a comprehensive review
Ru Zhou, Dan Wang, Hanwei Zhang, et al.
Frontiers in Surgery (2025) Vol. 12
Open Access
Computer-assisted liver graft steatosis assessment via learning-based texture analysis
Sara Moccia, Leonardo S. Mattos, Ilaria Patrini, et al.
International Journal of Computer Assisted Radiology and Surgery (2018) Vol. 13, Iss. 9, pp. 1357-1367
Closed Access | Times Cited: 34
Towards realistic laparoscopic image generation using image-domain translation
Aldo Marzullo, Sara Moccia, Michele Catellani, et al.
Computer Methods and Programs in Biomedicine (2020) Vol. 200, pp. 105834-105834
Open Access | Times Cited: 31
Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data
Martin Wagner, Johanna M. Brandenburg, Sebastian Bodenstedt, et al.
Surgical Endoscopy (2022) Vol. 36, Iss. 11, pp. 8568-8591
Open Access | Times Cited: 15
Inter-foetus Membrane Segmentation for TTTS Using Adversarial Networks
Alessandro Casella, Sara Moccia, Emanuele Frontoni, et al.
Annals of Biomedical Engineering (2019) Vol. 48, Iss. 2, pp. 848-859
Closed Access | Times Cited: 23
Proposing novel methods for gynecologic surgical action recognition on laparoscopic videos
Toktam Khatibi, Parastoo Dezyani
Multimedia Tools and Applications (2020) Vol. 79, Iss. 41-42, pp. 30111-30133
Closed Access | Times Cited: 22
Design and Integration of Electrical Bio-impedance Sensing in Surgical Robotic Tools for Tissue Identification and Display
Zhuoqi Cheng, Diego Dall’Alba, Simone Foti, et al.
Frontiers in Robotics and AI (2019) Vol. 6
Open Access | Times Cited: 22
Uncertainty-aware performance assessment of optical imaging modalities with invertible neural networks
Tim Adler, Lynton Ardizzone, Anant Vemuri, et al.
International Journal of Computer Assisted Radiology and Surgery (2019) Vol. 14, Iss. 6, pp. 997-1007
Open Access | Times Cited: 16
Virtual and Real Bidirectional Driving System for the Synchronization of Manipulations in Robotic Joint Surgeries
Yanding Qin, Mingqian Ma, Lin Shen, et al.
Machines (2022) Vol. 10, Iss. 7, pp. 530-530
Open Access | Times Cited: 9
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