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:

Dynamic inference of cell developmental complex energy landscape from time series single-cell transcriptomic data
Qi Jiang, Shuo Zhang, Lin Wan
PLoS Computational Biology (2022) Vol. 18, Iss. 1, pp. e1009821-e1009821
Open Access | Times Cited: 17

Showing 17 citing articles:

Reconstructing growth and dynamic trajectories from single-cell transcriptomics data
Yutong Sha, Yuchi Qiu, Peijie Zhou, et al.
Nature Machine Intelligence (2023) Vol. 6, Iss. 1, pp. 25-39
Open Access | Times Cited: 25

scTenifoldXct: A semi-supervised method for predicting cell-cell interactions and mapping cellular communication graphs
Yongjian Yang, Guanxun Li, Yan Zhong, et al.
Cell Systems (2023) Vol. 14, Iss. 4, pp. 302-311.e4
Open Access | Times Cited: 17

An increment of diversity method for cell state trajectory inference of time-series scRNA-seq data
Yan Hong, Hanshuang Li, Chunshen Long, et al.
Fundamental Research (2024) Vol. 4, Iss. 4, pp. 770-776
Open Access | Times Cited: 8

Optimal transport for single-cell and spatial omics
Charlotte Bunne, Geoffrey Schiebinger, Andreas Krause, et al.
Nature Reviews Methods Primers (2024) Vol. 4, Iss. 1
Closed Access | Times Cited: 5

Dynamic modeling, optimization, and deep learning for high-dimensional complex biological data
Qi Jiang, Lin Wan
Scientia Sinica Mathematica (2025)
Closed Access

Tipping points in epithelial-mesenchymal lineages from single-cell transcriptomics data
Manuel Barcenas, Federico Bocci, Qing Nie
Biophysical Journal (2024) Vol. 123, Iss. 17, pp. 2849-2859
Open Access | Times Cited: 3

MDIC3: Matrix decomposition to infer cell-cell communication
Yi Liu, Yuelei Zhang, Xiao Chang, et al.
Patterns (2024) Vol. 5, Iss. 2, pp. 100911-100911
Open Access | Times Cited: 2

Inferring structural and dynamical properties of gene networks from data with deep learning
Feng Chen, Chunhe Li
NAR Genomics and Bioinformatics (2022) Vol. 4, Iss. 3
Open Access | Times Cited: 8

A physics-informed neural SDE network for learning cellular dynamics from time-series scRNA-seq data
Qi Jiang, Lin Wan
Bioinformatics (2024) Vol. 40, Iss. Supplement_2, pp. ii120-ii127
Open Access | Times Cited: 1

Comparison of cell state models derived from single-cell RNA sequencing data: graph versus multi-dimensional space
Heyrim Cho, Ya‐Huei Kuo, Russell C. Rockne
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 8, pp. 8505-8536
Open Access | Times Cited: 3

Multi-condition and multi-modal temporal profile inference during mouse embryonic development
Ran Zhang, Chengxiang Qiu, G. N. Filippova, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

scEGOT: single-cell trajectory inference framework based on entropic Gaussian mixture optimal transport
Toshiaki Yachimura, Hanbo Wang, Yusuke Imoto, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access

Estimation of non-equilibrium transition rate from gene expression data
Feng Chen, Yubo Bai, Chunhe Li
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 1

scEGOT: Single-cell trajectory inference framework based on entropic Gaussian mixture optimal transport
Toshiaki Yachimura, Hanbo Wang, Yusuke Imoto, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

scStateDynamics: deciphering the drug-responsive tumor cell state dynamics by modeling single-cell level expression changes
Jin Gu, Wenbo Guo, Xinqi Li, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1

The statistical physics of single cell genomics
Enrique Hernández-Lemus
Molecular Physics (2023)
Closed Access

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