Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

DeepVelo : Single-cell transcriptomic deep velocity field learning with neural ordinary differential equations
Zhanlin Chen, William C. King, Ahyeon Hwang, et al.
Science Advances (2022) Vol. 8, Iss. 48
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Deep learning applications in single-cell genomics and transcriptomics data analysis
Nafiseh Erfanian, A. Ali Heydari, Adib Miraki Feriz, et al.
Biomedicine & Pharmacotherapy (2023) Vol. 165, pp. 115077-115077
Open Access | Times Cited: 62
scTour: a deep learning architecture for robust inference and accurate prediction of cellular dynamics
Qian Li
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 29
Towards systems immunology of critical illness at scale: from single cell ‘omics to digital twins
Yoram Vodovotz
Trends in Immunology (2023) Vol. 44, Iss. 5, pp. 345-355
Open Access | Times Cited: 17
Advances and applications in single-cell and spatial genomics
Jingjing Wang, Fang Ye, Haoxi Chai, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 7
Statistical inference with a manifold-constrained RNA velocity model uncovers cell cycle speed modulations
Alex R. Lederer, Maxine Leonardi, Lorenzo Figà Talamanca, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
Reconstructing developmental trajectories using latent dynamical systems and time-resolved transcriptomics
Rory J. Maizels, Daniel M. Snell, James Briscoe
Cell Systems (2024) Vol. 15, Iss. 5, pp. 411-424.e9
Open Access | Times Cited: 6
Biologically informed NeuralODEs for genome-wide regulatory dynamics
Intekhab Hossain, Viola Fanfani, Jonas Fischer, et al.
Genome biology (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Dissection and integration of bursty transcriptional dynamics for complex systems
Cheng Gao, Suriyanarayanan Vaikuntanathan, Samantha J. Riesenfeld
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 18
Open Access | Times Cited: 5
scNODE : generative model for temporal single cell transcriptomic data prediction
Jiaqi Zhang, Erica Larschan, Jeremy Bigness, et al.
Bioinformatics (2024) Vol. 40, Iss. Supplement_2, pp. ii146-ii154
Open Access | Times Cited: 5
Inferring single-cell transcriptomic dynamics with structured latent gene expression dynamics
Spencer Farrell, Madhav Mani, Sidhartha Goyal
Cell Reports Methods (2023) Vol. 3, Iss. 9, pp. 100581-100581
Open Access | Times Cited: 13
Understanding and evaluating ambiguity in single-cell and single-nucleus RNA-sequencing
Dongze He, Charlotte Soneson, Rob Patro
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 11
scKINETICS: inference of regulatory velocity with single-cell transcriptomics data
Cassandra Burdziak, Chujun Zhao, Doron Haviv, et al.
Bioinformatics (2023) Vol. 39, Iss. Supplement_1, pp. i394-i403
Open Access | Times Cited: 11
The rise of scientific machine learning: a perspective on combining mechanistic modelling with machine learning for systems biology
Ben Noordijk, Monica L. Garcia Gomez, Kirsten ten Tusscher, et al.
Frontiers in Systems Biology (2024) Vol. 4
Open Access | Times Cited: 4
Transcriptomic forecasting with neural ordinary differential equations
Rossin Erbe, Genevieve Stein-O’Brien, Elana J. Fertig
Patterns (2023) Vol. 4, Iss. 8, pp. 100793-100793
Open Access | Times Cited: 10
Inferring cell trajectories of spatial transcriptomics via optimal transport analysis
Xunan Shen, Lulu Zuo, Zhongfei Ye, et al.
Cell Systems (2025), pp. 101194-101194
Open Access
A review of BioTree construction in the context of information fusion: Priors, methods, applications and trends
Zelin Zang, Yongjie Xu, Chenrui Duan, et al.
Information Fusion (2025), pp. 103108-103108
Closed Access
Discovering governing equations of biological systems through representation learning and sparse model discovery
Mehrshad Sadria, Vasu Swaroop
NAR Genomics and Bioinformatics (2025) Vol. 7, Iss. 2
Open Access
Model-based inference of RNA velocity modules improves cell fate prediction
Alexander Aivazidis, Fani Memi, Vitalii Kleshchevnikov, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 9
The single-cell transcriptomic atlas and RORA-mediated 3D epigenomic remodeling in driving corneal epithelial differentiation
Mingsen Li, Huizhen Guo, Bofeng Wang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Modeling single cell trajectory using forward-backward stochastic differential equations
Kevin Zhang, Junhao Zhu, Dehan Kong, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 4, pp. e1012015-e1012015
Open Access | Times Cited: 3
Synthetic organizer cells guide development via spatial and biochemical instructions
Toshimichi Yamada, Coralie Trentesaux, Jonathan M. Brunger, et al.
Cell (2024)
Closed Access | Times Cited: 3
Graph-Dynamo: Learning stochastic cellular state transition dynamics from single cell data
Yan Zhang, Xiaojie Qiu, Ke Ni, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 8
Resolving cellular dynamics using single-cell temporal transcriptomics
Yifei Liu, Kai Huang, Wanze Chen
Current Opinion in Biotechnology (2024) Vol. 85, pp. 103060-103060
Closed Access | Times Cited: 2
Using neural ordinary differential equations to predict complex ecological dynamics from population density data
Jorge Arroyo‐Esquivel, Christopher A. Klausmeier, Elena Litchman
Journal of The Royal Society Interface (2024) Vol. 21, Iss. 214
Open Access | Times Cited: 2
Statistical inference with a manifold-constrained RNA velocity model uncovers cell cycle speed modulations
Alex R. Lederer, Maxine Leonardi, Lorenzo Figà Talamanca, et al.
Nature Methods (2024)
Open Access | Times Cited: 2
Page 1 - Next Page

Scroll to top