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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:

Splinedist: Automated Cell Segmentation With Spline Curves
Soham Mandal, Virginie Uhlmann
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2021), pp. 1082-1086
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Squidpy: a scalable framework for spatial omics analysis
Giovanni Palla, Hannah Spitzer, Michal Klein, et al.
Nature Methods (2022) Vol. 19, Iss. 2, pp. 171-178
Open Access | Times Cited: 581
Spatial omics technologies at multimodal and single cell/subcellular level
Jiwoon Park, Junbum Kim, Tyler Lewy, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 71
Automated Deep Lineage Tree Analysis Using a Bayesian Single Cell Tracking Approach
Kristina Ulicna, Giulia Vallardi, Guillaume Charras, et al.
Frontiers in Computer Science (2021) Vol. 3
Open Access | Times Cited: 72
DeepBacs for multi-task bacterial image analysis using open-source deep learning approaches
Christoph Spahn, Estibaliz Gómez‐de‐Mariscal, Romain F. Laine, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 63
CPP-Net: Context-Aware Polygon Proposal Network for Nucleus Segmentation
Shengcong Chen, Changxing Ding, Minfeng Liu, et al.
IEEE Transactions on Image Processing (2023) Vol. 32, pp. 980-994
Open Access | Times Cited: 35
Segmentation metric misinterpretations in bioimage analysis
Dominik Hirling, Ervin Tasnádi, Juan C. Caicedo, et al.
Nature Methods (2023) Vol. 21, Iss. 2, pp. 213-216
Open Access | Times Cited: 34
Deep learning for bioimage analysis in developmental biology
Adrien Hallou, Hannah Yevick, Bianca Dumitrascu, et al.
Development (2021) Vol. 148, Iss. 18
Open Access | Times Cited: 51
Dissecting the brain with spatially resolved multi-omics
Yijia Fangma, Mengting Liu, Jie Liao, et al.
Journal of Pharmaceutical Analysis (2023) Vol. 13, Iss. 7, pp. 694-710
Open Access | Times Cited: 18
Modular segmentation, spatial analysis and visualization of volume electron microscopy datasets
Andreas Müller, Deborah Schmidt, Jan Philipp Albrecht, et al.
Nature Protocols (2024) Vol. 19, Iss. 5, pp. 1436-1466
Closed Access | Times Cited: 6
From pixels to insights: Machine learning and deep learning for bioimage analysis
M Jan, Allie Spangaro, M. Lenartowicz, et al.
BioEssays (2023) Vol. 46, Iss. 2
Open Access | Times Cited: 12
Image restoration of degraded time-lapse microscopy data mediated by near-infrared imaging
Nicola Gritti, Rory M. Power, Alyssa Graves, et al.
Nature Methods (2024) Vol. 21, Iss. 2, pp. 311-321
Open Access | Times Cited: 4
Advancing antibiotic discovery with bacterial cytological profiling: a high-throughput solution to antimicrobial resistance
Jhonatan Salgado, James Rayner, Nikola Ojkic
Frontiers in Microbiology (2025) Vol. 16
Open Access
YOLOv5-FPN: A Robust Framework for Multi-Sized Cell Counting in Fluorescence Images
Bader Aldughayfiq, Farzeen Ashfaq, N. Z. Jhanjhi, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2280-2280
Open Access | Times Cited: 10
Squidpy: a scalable framework for spatial single cell analysis
Olle Holmberg
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Closed Access | Times Cited: 17
Fast detection of slender bodies in high density microscopy data
Albert Alonso, Julius B. Kirkegaard
Communications Biology (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 6
Optical microscopic imaging, manipulation, and analysis methods for morphogenesis research
Takanobu A. Katoh, Yohsuke T. Fukai, T. Ishibashi
Microscopy (2023) Vol. 73, Iss. 3, pp. 226-242
Open Access | Times Cited: 5
A Practical Guide to Supervised Deep Learning for Bioimage Analysis: Challenges and good practices
Virginie Uhlmann, Laurène Donati, Daniel Sage
IEEE Signal Processing Magazine (2022) Vol. 39, Iss. 2, pp. 73-86
Closed Access | Times Cited: 9
Domain Adapted Multitask Learning for Segmenting Amoeboid Cells in Microscopy
Suvadip Mukherjee, Rituparna Sarkar, Maria Manich, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 1, pp. 42-54
Closed Access | Times Cited: 9
A Machine Learning Workflow of Multiplexed Immunofluorescence Images to Interrogate Activator and Tolerogenic Profiles of Conventional Type 1 Dendritic Cells Infiltrating Melanomas of Disease-Free and Metastatic Patients
Saraí G De León-Rodríguez, Paul Hernández‐Herrera, Cristina Aguilar-Flores, et al.
Journal of Oncology (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 9
SCTS: Instance Segmentation of Single Cells Using a Transformer-Based Semantic-Aware Model and Space-Filling Augmentation
Yating Zhou, Wenjing Li, Ge Yang
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 5933-5942
Closed Access | Times Cited: 4
Comparison between a deep-learning and a pixel-based approach for the automated quantification of HIV target cells in foreskin tissue
Zhongtian Shao, Lane Buchanan, David Zuanazzi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Computational Methods for Image Analysis in Craniofacial Development and Disease
Eddie A. James, Ana J Caetano, Paul T. Sharpe
Journal of Dental Research (2024) Vol. 103, Iss. 13, pp. 1340-1348
Closed Access | Times Cited: 1
Cell segmentation and representation with shape priors
Dominik Hirling, Péter Horváth
Computational and Structural Biotechnology Journal (2022) Vol. 21, pp. 742-750
Open Access | Times Cited: 5
DeepBacs: Bacterial image analysis using open-source deep learning approaches
Christoph Spahn, Romain F. Laine, Pedro M. Pereira, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 6
A Hybrid Multi-Object Segmentation Framework with Model-Based B-Splines for Microbial Single Cell Analysis
Karina Ruzaeva, Katharina Nöh, Benjamin Berkels
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2022) Vol. 7, pp. 1-5
Open Access | Times Cited: 4
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