Baoyin Yuan

Guangzhou University — China

Mathematics · Physical Sciences

18h-index5.5kcitations40works6.32yr avg
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Research Topics

COVID-19 epidemiological studies(18), Advancements in Solid Oxide Fuel Cells(12), COVID-19 Pandemic Impacts(9), Fuel Cells and Related Materials(7), Viral Infections and Outbreaks Research(6)

Publications40 total

AI guided the development of materials science: a perspective
Renewable and Sustainable Energy·2026
Significantly Enhanced Electrocatalytic Activity of Air Electrodes in Protonic Ceramic Cells by A‐Site Deficiency Engineering
Small·2025Open Access
Stochastic Modeling and Transient Analysis of Epidemic Extinction Dynamics
Bulletin of Mathematical Biology·2025
Stochastic Modeling and Transient Analysis of Epidemic Extinction Dynamics
2025Open Access
Enhancing efficiency and accuracy of structural feature recognition in battery cathode materials by collaborating Kolmogorov-Arnold Networks（KAN）with self-attention mechanism
2025
Machine learning-driven discovery of high-performance Co/Sr-free air electrodes for protonic ceramic electrolysis cells
eScience·2025Open Access
Optimization of Performance at Air Electrode Side for Protonic Solid Oxide Cells: Advances and Machine Learning Guided Perspectives
Small·2025· 3 cited
Machine Learning Tailored Anodes for Efficient Hydrogen Energy Generation in Proton-Conducting Solid Oxide Electrolysis Cells
Nano-Micro Letters·2025· 4 citedOpen Access
Machine learning-assisted advances and perspectives for electrolytes of protonic solid oxide fuel cells
Energy Materials·2025· 1 citedOpen Access
How AI guided the development of green hydrogen production: in the case of solid oxide electrolysis cell?
Journal of Materials Informatics·2025· 6 citedOpen Access
Rationally Designed Air Electrode Boosting Electrochemical Performance of Protonic Ceramic Cells
Advanced Energy Materials·2025· 18 cited
Machine-Learning-Assisted Development of Gel Polymer Electrolytes for Protecting Zn Metal Anodes from the Corrosion of Water Molecules
The Journal of Physical Chemistry Letters·2024· 14 cited
Advances and challenges in high-performance cathodes for protonic solid oxide fuel cells and machine learning-guided perspectives
Nano Energy·2024· 41 cited
Reconstruction and analysis of the transmission network of African swine fever in People’s Republic of China, August 2018–September 2019
Epidemiology and Infection·2024· 1 citedOpen Access
Machine‐Learning Assisted Screening Proton Conducting Co/Fe based Oxide for the Air Electrode of Protonic Solid Oxide Cell
Advanced Functional Materials·2023· 31 cited
Assessing the transmissibility of epidemics involving epidemic zoning
BMC Infectious Diseases·2023· 3 citedOpen Access
Machine‐Learning‐Accelerated Development of Efficient Mixed Protonic–Electronic Conducting Oxides as the Air Electrodes for Protonic Ceramic Cells
Advanced Materials·2022· 58 cited
Advanced Cathode Materials for Protonic Ceramic Fuel Cells: Recent Progress and Future Perspectives (Adv. Energy Mater. 34/2022)
Advanced Energy Materials·2022· 2 cited
Advanced Cathode Materials for Protonic Ceramic Fuel Cells: Recent Progress and Future Perspectives
Advanced Energy Materials·2022· 162 cited
A quantitative method to project the probability of the end of an epidemic: Application to the COVID-19 outbreak in Wuhan, 2020
Journal of Theoretical Biology·2022· 8 citedOpen Access
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Frequent Co-authors

Hiroshi Nishiura(18), Andrei R. Akhmetzhanov(14), Natalie M. Linton(12), Yichi Yang(12), Sung-mok Jung(12), Yoshitaka Aoki(11), Siyu Ye(11), T. Kobayashi(10), Katsuma Hayashi(10), Ryo Kinoshita(10), Ning Wang(8), Lei Du(8), Chunmei Tang(7), Ruijie Zhu(6), Ling Meng(6), Takeshi Miyama(5), Ayako Suzuki(5), Chunmei Tang(5), Qingwen Su(5), Fangyuan Zheng(5)