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:

The Cell Tracking Challenge: 10 years of objective benchmarking
Martin Maška, Vladimír Ulman, Pablo Delgado-Rodriguez, et al.
Nature Methods (2023) Vol. 20, Iss. 7, pp. 1010-1020
Open Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

The multimodality cell segmentation challenge: toward universal solutions
Jun Ma, Ronald Xie, Shamini Ayyadhury, et al.
Nature Methods (2024) Vol. 21, Iss. 6, pp. 1103-1113
Closed Access | Times Cited: 32

Live-cell imaging in the deep learning era
Joanna W. Pylvänäinen, Estibaliz Gómez‐de‐Mariscal, Ricardo Henriques, et al.
Current Opinion in Cell Biology (2023) Vol. 85, pp. 102271-102271
Open Access | Times Cited: 24

A multimodal zebrafish developmental atlas reveals the state-transition dynamics of late-vertebrate pluripotent axial progenitors
Merlin Lange, Alejandro Granados, Shruthi VijayKumar, et al.
Cell (2024) Vol. 187, Iss. 23, pp. 6742-6759.e17
Open Access | Times Cited: 8

Harnessing artificial intelligence to reduce phototoxicity in live imaging
Estibaliz Gómez‐de‐Mariscal, Mario Del Rosario, Joanna W. Pylvänäinen, et al.
Journal of Cell Science (2024) Vol. 137, Iss. 3
Open Access | Times Cited: 7

Opportunities and challenges for deep learning in cell dynamics research
Binghao Chai, Christoforos Efstathiou, Haoran Yue, et al.
Trends in Cell Biology (2023)
Open Access | Times Cited: 18

Enhanced cell segmentation with limited training datasets using cycle generative adversarial networks
Abolfazl Zargari, Benjamin R. Topacio, Najmeh Mashhadi, et al.
iScience (2024) Vol. 27, Iss. 5, pp. 109740-109740
Open Access | Times Cited: 7

Deep learning-driven analysis for cellular structure characteristics of spherical premixed hydrogen-air flames
Gengxin Zhang, Hongming Xu, Dawei Wu, et al.
International Journal of Hydrogen Energy (2024) Vol. 68, pp. 63-73
Open Access | Times Cited: 7

DiSTNet2D: Leveraging Long-Range Temporal Information for Efficient Segmentation and Tracking
Jean Ollion, Martin Maliet, Caroline Giuglaris, et al.
PRX Life (2024) Vol. 2, Iss. 2
Open Access | Times Cited: 6

ObiWan-Microbi: OMERO-based integrated workflow for annotating microbes in the cloud
Johannes Seiffarth, Tim Scherr, Bastian Wollenhaupt, et al.
SoftwareX (2024) Vol. 26, pp. 101638-101638
Open Access | Times Cited: 5

Ultrack: pushing the limits of cell tracking across biological scales
Jordão Bragantini, Ilan Theodoro, Xiang Zhao, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 5

Caliban: Accurate cell tracking and lineage construction in live-cell imaging experiments with deep learning
Morgan Schwartz, Erick Moen, Geneva Miller, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 50

A systematic evaluation of computational methods for cell segmentation
Yuxing Wang, Junhan Zhao, Hongye Xu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 4

Imaging of cellular dynamics from a whole organism to subcellular scale with self-driving, multiscale microscopy
Stephan Daetwyler, Hanieh Mazloom-Farsibaf, Felix Zhou, et al.
Nature Methods (2025)
Closed Access

MorphoNet 2.0: An innovative approach for qualitative assessment and segmentation curation of large-scale 3D time-lapse imaging datasets
Benjamin Gallean, Tao Laurent, Kilian Biasuz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

Cell tracking-by-detection using elliptical bounding boxes
Lucas N. Kirsten, Cláudio R. Jung
Journal of Visual Communication and Image Representation (2025), pp. 104425-104425
Closed Access

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions
Jun Ma, Ronald Xie, Shamini Ayyadhury, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 10

Automated tracking of cell migration in phase contrast images with CellTraxx
B. Holme, Birgitte Bjørnerud, Nina Marie Pedersen, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10

Machine learning enhanced cell tracking
Christopher J. Soelistyo, Kristina Ulicna, Alan R. Lowe
Frontiers in Bioinformatics (2023) Vol. 3
Open Access | Times Cited: 9

A survey on automated cell tracking: challenges and solutions
Reza Yazdi, Hassan Khotanlou
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 81511-81547
Closed Access | Times Cited: 3

In silico labeling in cell biology: Potential and limitations
Nitsan Elmalam, Lion Ben Nedava, Assaf Zaritsky
Current Opinion in Cell Biology (2024) Vol. 89, pp. 102378-102378
Closed Access | Times Cited: 3

A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features
Davide Carnevali, Limei Zhong, Esther González-Almela, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 9, pp. 1021-1033
Open Access | Times Cited: 3

Generative modeling of living cells with SO(3)-equivariant implicit neural representations
David Wiesner, Julian Suk, Sven Dummer, et al.
Medical Image Analysis (2023) Vol. 91, pp. 102991-102991
Open Access | Times Cited: 8

Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage
Imad Eddine Toubal, Noor Al-Shakarji, DDW Cornelison, et al.
IEEE Open Journal of Engineering in Medicine and Biology (2023) Vol. 5, pp. 443-458
Open Access | Times Cited: 7

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