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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:

Ensemble latent assimilation with deep learning surrogate model: application to drop interaction in a microfluidics device
Yilin Zhuang, Sibo Cheng, Nina M. Kovalchuk, et al.
Lab on a Chip (2022) Vol. 22, Iss. 17, pp. 3187-3202
Open Access | Times Cited: 21

Showing 21 citing articles:

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review
Sibo Cheng, César Quilodrán-Casas, Said Ouala, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 6, pp. 1361-1387
Open Access | Times Cited: 113
Explainable AI models for predicting drop coalescence in microfluidics device
Jin-Wei Hu, Kewei Zhu, Sibo Cheng, et al.
Chemical Engineering Journal (2024) Vol. 481, pp. 148465-148465
Open Access | Times Cited: 12
AI-enhanced biomedical micro/nanorobots in microfluidics
Hui Dong, Jiawen Lin, Yihui Tao, et al.
Lab on a Chip (2024) Vol. 24, Iss. 5, pp. 1419-1440
Open Access | Times Cited: 12
Generalised Latent Assimilation in Heterogeneous Reduced Spaces with Machine Learning Surrogate Models
Sibo Cheng, Jianhua Chen, Charitos Anastasiou, et al.
Journal of Scientific Computing (2022) Vol. 94, Iss. 1
Open Access | Times Cited: 58
Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm
Jake Lever, Sibo Cheng, César Quilodrán Casas, et al.
Journal of Computational Science (2025), pp. 102523-102523
Open Access
Functions and applications of artificial intelligence in droplet microfluidics
Huan Liu, Lang Nan, Feng Chen, et al.
Lab on a Chip (2023) Vol. 23, Iss. 11, pp. 2497-2513
Closed Access | Times Cited: 18
Microsystem Advances through Integration with Artificial Intelligence
Hsieh‐Fu Tsai, Soumyajit Podder, Pin‐Yuan Chen
Micromachines (2023) Vol. 14, Iss. 4, pp. 826-826
Open Access | Times Cited: 17
3D‐Var data assimilation using a variational autoencoder
Boštjan Melinc, Žiga Zaplotnik
Quarterly Journal of the Royal Meteorological Society (2024) Vol. 150, Iss. 761, pp. 2273-2295
Open Access | Times Cited: 4
Machine learning for viscoelastic constitutive model identification and parameterisation using Large Amplitude Oscillatory Shear
Thomas John, Max Mowbray, A. Alalwyat, et al.
Chemical Engineering Science (2024) Vol. 294, pp. 120075-120075
Open Access | Times Cited: 3
Machine learning and physics-driven modelling and simulation of multiphase systems
Nausheen Basha, Rossella Arcucci, Panagiota Angeli, et al.
International Journal of Multiphase Flow (2024) Vol. 179, pp. 104936-104936
Open Access | Times Cited: 3
Updated Prediction of Air Quality Based on Kalman-Attention-LSTM Network
Hao Zhou, Tao Wang, Hongchao Zhao, et al.
Sustainability (2022) Vol. 15, Iss. 1, pp. 356-356
Open Access | Times Cited: 15
Multi-domain encoder–decoder neural networks for latent data assimilation in dynamical systems
Sibo Cheng, Yilin Zhuang, Lyes Kahouadji, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 430, pp. 117201-117201
Open Access | Times Cited: 2
Analyzing drop coalescence in microfluidic devices with a deep learning generative model
Ke‐Wei Zhu, Sibo Cheng, Nina M. Kovalchuk, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 23, pp. 15744-15755
Open Access | Times Cited: 6
Transformation of PET raw data into images for event classification using convolutional neural networks
Paweł Konieczka, L. Raczyński, W. Wiślicki, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 8, pp. 14938-14958
Open Access | Times Cited: 2
Entity recognition of railway signal equipment fault information based on RoBERTa-wwm and deep learning integration
Junting Lin, Shan Li, Ning Ning Qin, et al.
Mathematical Biosciences & Engineering (2023) Vol. 21, Iss. 1, pp. 1228-1248
Open Access | Times Cited: 2
Hierarchical Autoencoder-Based Lossy Compression for Large-Scale High-Resolution Scientific Data
Hieu Lê, Jian Tao
Computing&AI сonnect. (2024) Vol. 1, Iss. 1, pp. 1-1
Open Access
Named Entity Recognition for Equipment Fault Diagnosis Based on RoBERTa-wwm-ext and Deep Learning Integration
Feifei Gao, Zhang Li, Wenfeng Wang, et al.
Electronics (2024) Vol. 13, Iss. 19, pp. 3935-3935
Open Access
Human-Sensors & Physics Aware Machine Learning for Wildfire Detection and Nowcasting
Jake Lever, Sibo Cheng, Rossella Arcucci
Lecture notes in computer science (2023), pp. 422-429
Closed Access | Times Cited: 1
Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data
Hieu Trung Le, Hernán Santos, Jian Tao
arXiv (Cornell University) (2023)
Open Access
3D-Var Data Assimilation using a Variational Autoencoder
Boštjan Melinc, Žiga Zaplotnik
arXiv (Cornell University) (2023)
Open Access
Applying Latent Data Assimilation to a Fluid Dynamics Problem
Ruijia Yu
Deleted Journal (2023) Vol. 1, Iss. 1, pp. 01-12
Open Access
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