Xinlu Han

3.0k total citations · 4 hit papers
57 papers, 2.4k citations indexed

About

Xinlu Han is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Xinlu Han has authored 57 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Fluid Flow and Transfer Processes, 39 papers in Computational Mechanics and 26 papers in Aerospace Engineering. Recurrent topics in Xinlu Han's work include Advanced Combustion Engine Technologies (42 papers), Combustion and flame dynamics (39 papers) and Combustion and Detonation Processes (23 papers). Xinlu Han is often cited by papers focused on Advanced Combustion Engine Technologies (42 papers), Combustion and flame dynamics (39 papers) and Combustion and Detonation Processes (23 papers). Xinlu Han collaborates with scholars based in China, Sweden and Portugal. Xinlu Han's co-authors include Zhihua Wang, Yong He, Kefa Cen, Alexander A. Konnov, Yanqun Zhu, Mário Costa, Zhiwei Sun, Marco Lubrano Lavadera, Shixing Wang and Runfan Zhu and has published in prestigious journals such as Chemical Engineering Journal, Applied Energy and International Journal of Hydrogen Energy.

In The Last Decade

Xinlu Han

50 papers receiving 2.3k citations

Hit Papers

Experimental and kinetic modeling study of laminar burnin... 2019 2026 2021 2023 2019 2021 2019 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinlu Han China 19 2.0k 1.6k 942 714 447 57 2.4k
Thibault F. Guiberti Saudi Arabia 26 1.9k 1.0× 2.0k 1.3× 691 0.7× 654 0.9× 482 1.1× 102 2.6k
Ayman M. Elbaz Saudi Arabia 21 1.7k 0.9× 1.3k 0.9× 823 0.9× 545 0.8× 398 0.9× 48 2.0k
H.B. Levinsky Netherlands 25 1.7k 0.9× 1.4k 0.9× 731 0.8× 634 0.9× 414 0.9× 82 2.4k
Lars Seidel Germany 20 1.6k 0.8× 1.2k 0.7× 779 0.8× 424 0.6× 388 0.9× 43 1.9k
Sander Gersen Netherlands 20 1.3k 0.7× 948 0.6× 649 0.7× 457 0.6× 323 0.7× 38 1.7k
Pierre Bréquigny France 24 2.5k 1.3× 1.6k 1.0× 1.5k 1.6× 686 1.0× 502 1.1× 62 2.9k
Hamid Hashemi Denmark 22 1.7k 0.8× 1.1k 0.7× 1.3k 1.4× 496 0.7× 534 1.2× 48 2.6k
Bo Shu Germany 17 1.2k 0.6× 801 0.5× 951 1.0× 358 0.5× 387 0.9× 35 1.8k
Clemens Naumann Germany 20 1.5k 0.8× 1.3k 0.8× 325 0.3× 743 1.0× 174 0.4× 82 1.8k
Pino Sabia Italy 30 1.9k 1.0× 1.8k 1.2× 758 0.8× 359 0.5× 364 0.8× 75 2.5k

Countries citing papers authored by Xinlu Han

Since Specialization
Citations

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

Fields of papers citing papers by Xinlu Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinlu Han

This figure shows the co-authorship network connecting the top 25 collaborators of Xinlu Han. A scholar is included among the top collaborators of Xinlu Han 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 Xinlu Han. Xinlu Han 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.
Lin, Jing‐Yi, Zhongqian Ling, Dingkun Yuan, et al.. (2025). Effects of H2, CO2, and H2O on the laminar burning velocity and reaction kinetics of methane/air flames under lean combustion conditions. Journal of the Energy Institute. 120. 102075–102075.
2.
Han, Xinlu, et al.. (2025). Laminar burning velocities of ultra-lean iso-octane flames at atmospheric pressure: A comparative study with n-heptane flames. Combustion and Flame. 280. 114358–114358. 1 indexed citations
3.
5.
Han, Xinlu, Xiuxia Zhang, Yunxi Shi, & Kang Pan. (2025). Experimental and kinetic modelling study on the laminar burning velocities of ultra-lean methanol and ethanol flames at atmospheric pressure. Combustion and Flame. 278. 114228–114228. 3 indexed citations
7.
Wang, Yiya, Liqiang Zhang, Chuantao Zhu, et al.. (2024). Study on the pathways of thermochemical sulfate reduction between sulfates and alkanes at low temperatures. Fuel. 379. 132998–132998. 1 indexed citations
8.
Wang, Yiya, Liqiang Zhang, Riyi Lin, et al.. (2024). Experimental and mechanistic study on the effect of active components and calcination temperatures on biochar-based catalysts for catalyzing heavy oil viscosity reduction. Geoenergy Science and Engineering. 240. 213078–213078. 5 indexed citations
9.
Ling, Zhongqian, Peng Yang, Bo Ling, et al.. (2024). Enhanced combustion of lean methane by La-based perovskite catalysts in a porous media burner. Separation and Purification Technology. 360. 131105–131105. 7 indexed citations
10.
Han, Xinlu, Wubin Weng, Yong He, Zhihua Wang, & Alexander A. Konnov. (2024). Experimental and kinetic modelling study on the laminar burning velocities of ultra-lean n-heptane flames at atmospheric pressure. Combustion and Flame. 268. 113613–113613. 10 indexed citations
11.
Han, Xinlu, et al.. (2024). Laminar burning velocities of rich NH3+N2+O2 flames: Comparing the effects of elevated temperatures and oxygen ratios on model validation. Proceedings of the Combustion Institute. 40(1-4). 105653–105653. 5 indexed citations
12.
Han, Xinlu, et al.. (2024). Data consistency of the laminar burning velocity of oxygen-enriched NH3 + O2 + N2 mixtures and kinetic modeling. Fuel. 385. 134017–134017. 7 indexed citations
13.
Liu, Leilei, et al.. (2024). Experimental and numerical study of laminar burning velocity for Diisobutylene+ PRF/TRF mixtures. Journal of the Energy Institute. 117. 101802–101802. 2 indexed citations
14.
Lin, Riyi, Yiya Wang, Xinlu Han, et al.. (2024). Experimental study on modified lotus stem biochar-based catalysts for heavy oil aquathermolysis. Molecular Catalysis. 554. 113848–113848. 8 indexed citations
15.
Han, Xinlu, Zhongqian Ling, Guangxue Zhang, Dingkun Yuan, & Jiangrong Xu. (2024). Experimental and modelling study on the laminar burning velocity correlation of CH4 flames diluted by different diluents. Fuel. 370. 131860–131860. 10 indexed citations
16.
Han, Xinlu, et al.. (2024). Laminar burning velocity of NH3 + N2 + O2 and NH3 + Ar + O2 flames at ultra-lean and rich conditions. Fuel. 369. 131713–131713. 7 indexed citations
17.
Wang, Yiya, Riyi Lin, Liqiang Zhang, et al.. (2023). ZrO2-MoO3/modified lotus stem biochar catalysts for catalytic aquathermolysis of heavy oil at low-temperature. Fuel. 357. 129597–129597. 16 indexed citations
18.
Han, Xinlu, Runfan Zhu, Yong He, Yanqun Zhu, & Zhihua Wang. (2023). Experimental and kinetic study on the laminar burning velocities of CH4 + H2S + N2 + O2 flames at atmospheric pressure. Fuel. 358. 130366–130366. 1 indexed citations
19.
Chen, Chenlin, Zhihua Wang, Xinlu Han, et al.. (2022). Experimental and kinetic modeling study of laminar burning velocity enhancement by ozone additive in NH3+O2+N2 and NH3+CH4/C2H6/C3H8+air flames. Proceedings of the Combustion Institute. 39(4). 4237–4246. 36 indexed citations
20.
Zhang, Haotian, Xinlu Han, Jianyi Jiang, et al.. (2022). Numerical study of experimental feasible heat release rate markers for NH3–H2-air premixed flames. International Journal of Hydrogen Energy. 47(65). 28165–28175. 17 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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