Sibo Cheng

2.2k total citations · 1 hit paper
70 papers, 1.3k citations indexed

About

Sibo Cheng is a scholar working on Global and Planetary Change, Atmospheric Science and Computational Mechanics. According to data from OpenAlex, Sibo Cheng has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 19 papers in Atmospheric Science and 12 papers in Computational Mechanics. Recurrent topics in Sibo Cheng's work include Meteorological Phenomena and Simulations (18 papers), Fire effects on ecosystems (10 papers) and Climate variability and models (9 papers). Sibo Cheng is often cited by papers focused on Meteorological Phenomena and Simulations (18 papers), Fire effects on ecosystems (10 papers) and Climate variability and models (9 papers). Sibo Cheng collaborates with scholars based in United Kingdom, France and China. Sibo Cheng's co-authors include Rossella Arcucci, Yike Guo, Helin Gong, Didier Lucor, Paul Chen, Roger Ruan, Dunhui Xiao, César Quilodrán-Casas, Bertrand Iooss and Yufang Jin and has published in prestigious journals such as Environmental Science & Technology, Bioresource Technology and Oncogene.

In The Last Decade

Sibo Cheng

67 papers receiving 1.2k citations

Hit Papers

Machine Learning With Data Assimilation and Uncertainty Q... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sibo Cheng United Kingdom 19 233 182 175 171 169 70 1.3k
Yong Liu China 34 133 0.6× 83 0.5× 61 0.3× 87 0.5× 389 2.3× 201 3.4k
Sen Li China 24 101 0.4× 213 1.2× 36 0.2× 79 0.5× 145 0.9× 142 1.7k
Qiao Wang China 21 67 0.3× 119 0.7× 31 0.2× 114 0.7× 95 0.6× 125 1.9k
Wolf‐Gerrit Früh United Kingdom 17 99 0.4× 168 0.9× 28 0.2× 79 0.5× 84 0.5× 80 1.0k
Ling Zhang China 25 152 0.7× 238 1.3× 20 0.1× 120 0.7× 171 1.0× 267 2.6k
Hui Liu China 31 163 0.7× 57 0.3× 40 0.2× 429 2.5× 429 2.5× 204 3.9k
Marco Trapanese Italy 28 72 0.3× 115 0.6× 189 1.1× 124 0.7× 19 0.1× 109 2.2k
Zhe Song China 19 137 0.6× 55 0.3× 78 0.4× 87 0.5× 131 0.8× 52 902
Thierry A. Mara France 21 65 0.3× 42 0.2× 61 0.3× 68 0.4× 48 0.3× 44 1.5k

Countries citing papers authored by Sibo Cheng

Since Specialization
Citations

This map shows the geographic impact of Sibo Cheng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sibo Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sibo Cheng more than expected).

Fields of papers citing papers by Sibo Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sibo Cheng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sibo Cheng. The network helps show where Sibo Cheng may publish in the future.

Co-authorship network of co-authors of Sibo Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Sibo Cheng. A scholar is included among the top collaborators of Sibo Cheng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sibo Cheng. Sibo Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Jiangtao, et al.. (2025). Co-hydrothermal carbonization of lignocellulosic biomass and swine manure for humic substance abundant target products: Impacts of hydrothermal temperature and feedstock composition. Journal of environmental chemical engineering. 13(3). 116280–116280. 1 indexed citations
2.
Cheng, Sibo, et al.. (2025). PyTorchFire: A GPU-accelerated wildfire simulator with Differentiable Cellular Automata. Environmental Modelling & Software. 188. 106401–106401. 1 indexed citations
3.
Cheng, Sibo, et al.. (2025). Improving long-term autoregressive spatiotemporal predictions: A proof of concept with fluid dynamics. Computer Methods in Applied Mechanics and Engineering. 447. 118332–118332.
4.
Ma, Kan, Sibo Cheng, Xianfeng Ma, et al.. (2025). Lattice misfit design and characterisation in BCC superalloys. Scripta Materialia. 267. 116802–116802. 5 indexed citations
5.
Cheng, Sibo, et al.. (2025). Optimisation of microfluidic synthesis of silver nanoparticles via data-driven inverse modelling. Process Safety and Environmental Protection. 216. 523–530. 1 indexed citations
6.
Cheng, Sibo, et al.. (2024). Spatially-aware diffusion models with cross-attention for global field reconstruction with sparse observations. Computer Methods in Applied Mechanics and Engineering. 435. 117623–117623. 6 indexed citations
7.
Cheng, Sibo, et al.. (2024). Acoustic emission and machine learning algorithms for particle size analysis in gas-solid fluidized bed reactors. Particuology. 101. 155–165. 2 indexed citations
8.
Cheng, Sibo, et al.. (2024). A novel strategy for a 7-DOF space manipulator transferring a captured target with collision avoidance. Advances in Space Research. 73(12). 6255–6273. 1 indexed citations
9.
Quilodrán-Casas, César, Qian Li, Ningbo Zhang, et al.. (2024). Exploring unseen 3D scenarios of physics variables using machine learning-based synthetic data: An application to wave energy converters. Environmental Modelling & Software. 177. 106051–106051.
10.
Valdés, Juan Pablo, Sibo Cheng, Lyes Kahouadji, et al.. (2024). Liquid–Liquid Dispersion Performance Prediction and Uncertainty Quantification Using Recurrent Neural Networks. Industrial & Engineering Chemistry Research. 63(17). 7853–7875. 7 indexed citations
11.
Cheng, Sibo, et al.. (2024). ViTAE-SL: A vision transformer-based autoencoder and spatial interpolation learner for field reconstruction. Computer Physics Communications. 308. 109464–109464. 3 indexed citations
12.
Wang, Hanyang, et al.. (2024). Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint. Computer Methods in Applied Mechanics and Engineering. 432. 117339–117339. 8 indexed citations
13.
Vasdravellis, George, et al.. (2024). Explainable AI model for predicting equivalent viscous damping in dual frame–wall resilient system. Journal of Building Engineering. 96. 110564–110564. 5 indexed citations
14.
Bocquet, Marc, et al.. (2024). Accurate deep learning-based filtering for chaotic dynamics by identifying instabilities without an ensemble. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(9). 3 indexed citations
15.
Cheng, Sibo, et al.. (2024). Explainable AI models for predicting drop coalescence in microfluidics device. Chemical Engineering Journal. 481. 148465–148465. 18 indexed citations
16.
Cheng, Sibo, et al.. (2024). Multi-fidelity physics constrained neural networks for dynamical systems. Computer Methods in Applied Mechanics and Engineering. 420. 116758–116758. 20 indexed citations
17.
Zhu, Ke‐Wei, Sibo Cheng, Nina M. Kovalchuk, et al.. (2023). Analyzing drop coalescence in microfluidic devices with a deep learning generative model. Physical Chemistry Chemical Physics. 25(23). 15744–15755. 6 indexed citations
18.
Cheng, Sibo, César Quilodrán-Casas, Said Ouala, et al.. (2023). Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review. IEEE/CAA Journal of Automatica Sinica. 10(6). 1361–1387. 127 indexed citations breakdown →
19.
Cheng, Sibo, Nina M. Kovalchuk, Mark Simmons, et al.. (2022). Ensemble latent assimilation with deep learning surrogate model: application to drop interaction in a microfluidics device. Lab on a Chip. 22(17). 3187–3202. 19 indexed citations
20.
Gong, Helin, Sibo Cheng, Zhang Chen, et al.. (2022). An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics. Annals of Nuclear Energy. 179. 109431–109431. 40 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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