Jin Zhao

2.1k total citations · 1 hit paper
71 papers, 1.6k citations indexed

About

Jin Zhao is a scholar working on Computational Mechanics, Ocean Engineering and Applied Mathematics. According to data from OpenAlex, Jin Zhao has authored 71 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computational Mechanics, 16 papers in Ocean Engineering and 16 papers in Applied Mathematics. Recurrent topics in Jin Zhao's work include Gas Dynamics and Kinetic Theory (16 papers), Heat and Mass Transfer in Porous Media (8 papers) and Particle Dynamics in Fluid Flows (8 papers). Jin Zhao is often cited by papers focused on Gas Dynamics and Kinetic Theory (16 papers), Heat and Mass Transfer in Porous Media (8 papers) and Particle Dynamics in Fluid Flows (8 papers). Jin Zhao collaborates with scholars based in China, Germany and United Kingdom. Jin Zhao's co-authors include Dongsheng Wen, Man‐Fai Ng, Qingyu Yan, Zhi Wei Seh, G. J. Conduit, Shanbo Huang, Liang Gong, Guice Yao, Zhaoqin Huang and Srinivasa B. Ramisetti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and The Science of The Total Environment.

In The Last Decade

Jin Zhao

64 papers receiving 1.6k citations

Hit Papers

Predicting the state of charge and health of batteries us... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers

Jin Zhao
Mingheng Li United States
Zhong Li China
Jian Feng China
Jin Zhao
Citations per year, relative to Jin Zhao Jin Zhao (= 1×) peers Fujun Zhang

Countries citing papers authored by Jin Zhao

Since Specialization
Citations

This map shows the geographic impact of Jin Zhao'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 Jin Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Zhao more than expected).

Fields of papers citing papers by Jin Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Zhao. 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 Jin Zhao. The network helps show where Jin Zhao may publish in the future.

Co-authorship network of co-authors of Jin Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Zhao. A scholar is included among the top collaborators of Jin Zhao 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 Jin Zhao. Jin Zhao 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.
Zhao, Jiahui, Guice Yao, Jin Zhao, Zhihui Li, & Dongsheng Wen. (2025). A novel lattice Boltzmann model for pore-scale thermal ablation and pyrolysis of carbon porous composites under high-temperature vapor flow. International Communications in Heat and Mass Transfer. 167. 109245–109245. 1 indexed citations
2.
Zhao, Jin, et al.. (2025). A novel numerical coupling strategy for hypersonic transpiration cooling: Instantaneous local phase change at the high-enthalpy porous interface. International Communications in Heat and Mass Transfer. 172. 110235–110235.
4.
Zhao, Jiahui, Jin Zhao, Guice Yao, & Dongsheng Wen. (2025). Lattice Boltzmann model of coupling flow, heat and mass transfer with homogeneous-heterogeneous reactions in porous composites for thermal protection applications. International Communications in Heat and Mass Transfer. 169. 109877–109877.
5.
6.
Zhao, Jin, et al.. (2024). Multiscale coupling simulation of surface catalytic effect on hypersonic aerothermodynamic environment. International Journal of Heat and Mass Transfer. 222. 125152–125152. 9 indexed citations
7.
Yao, Guice, et al.. (2024). Molecular interpretation for the synergistic catalysis of platinum/hyperbranched polyethyleneimine composites on the pyrolysis of endothermic hydrocarbon fuels. International Journal of Heat and Mass Transfer. 233. 125967–125967. 2 indexed citations
8.
Zhao, Jin, et al.. (2024). Hyperthermal erosion of knitted graphene-nanoribbon sheet under atomic oxygen bombardment. International Journal of Heat and Mass Transfer. 227. 125541–125541. 3 indexed citations
9.
Zhao, Jin, et al.. (2024). Multi-scale modeling of thermal and chemical kinetic characterization of composites during high-temperature pyrolysis by scale-bridging reactive molecular dynamics. International Journal of Heat and Mass Transfer. 231. 125903–125903. 4 indexed citations
11.
Zhao, Jin, et al.. (2024). Improving heat transfer prediction across catalytic SiC interface through a multiscale framework leveraging machine learning and data fusion techniques. International Journal of Heat and Mass Transfer. 236. 126249–126249. 2 indexed citations
13.
Wu, Chao, et al.. (2023). Instability onset of Rayleigh-Bénard convection for diatomic rarefied gases: Effects of molecular interaction models and flow parameters. International Journal of Heat and Mass Transfer. 220. 124923–124923. 2 indexed citations
15.
Ding, Haoyu, et al.. (2023). A numerical study on the interaction of droplet collisions and air flow impact in cross-impinging spray. Energy. 277. 127688–127688. 20 indexed citations
16.
Meng, Qinglin, et al.. (2023). High Impedance Fault Detection  Based on Kurtosis And Skewness Coefficients. SSRN Electronic Journal. 1 indexed citations
17.
Ng, Man‐Fai, Jin Zhao, Qingyu Yan, G. J. Conduit, & Zhi Wei Seh. (2020). Author Correction: Predicting the state of charge and health of batteries using data-driven machine learning. Nature Machine Intelligence. 3 indexed citations
18.
Zhao, Jin, et al.. (2020). Truck Traffic Flow Prediction Based on LSTM and GRU Methods With Sampled GPS Data. IEEE Access. 8. 208158–208169. 57 indexed citations
19.
Ng, Man‐Fai, Jin Zhao, Qingyu Yan, G. J. Conduit, & Zhi Wei Seh. (2020). Predicting the state of charge and health of batteries using data-driven machine learning. Nature Machine Intelligence. 2(3). 161–170. 559 indexed citations breakdown →
20.
Hu, Zhongliang, Hui Gao, Srinivasa B. Ramisetti, et al.. (2019). Carbon quantum dots with tracer-like breakthrough ability for reservoir characterization. The Science of The Total Environment. 669. 579–589. 30 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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