Bin Yang

12.4k total citations
308 papers, 10.5k citations indexed

About

Bin Yang is a scholar working on Fluid Flow and Transfer Processes, Materials Chemistry and Computational Mechanics. According to data from OpenAlex, Bin Yang has authored 308 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Fluid Flow and Transfer Processes, 117 papers in Materials Chemistry and 82 papers in Computational Mechanics. Recurrent topics in Bin Yang's work include Advanced Combustion Engine Technologies (122 papers), Combustion and flame dynamics (72 papers) and Catalytic Processes in Materials Science (56 papers). Bin Yang is often cited by papers focused on Advanced Combustion Engine Technologies (122 papers), Combustion and flame dynamics (72 papers) and Catalytic Processes in Materials Science (56 papers). Bin Yang collaborates with scholars based in China, United States and Germany. Bin Yang's co-authors include Yen Wei, Xiqi Zhang, Xiaoyong Zhang, Lei Tao, Nils Hansen, Fei Qi, Xiaoyong Zhang, Meiying Liu, Yaling Zhang and Terrill A. Cool and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

Bin Yang

285 papers receiving 10.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bin Yang 4.2k 3.2k 2.8k 2.1k 2.1k 308 10.5k
Lidong Zhang 3.9k 0.9× 2.9k 0.9× 2.0k 0.7× 1.3k 0.6× 2.1k 1.0× 396 15.7k
D. Langévin 7.6k 1.8× 832 0.3× 2.7k 1.0× 8.3k 4.0× 1.1k 0.5× 392 18.1k
Doros N. Theodorou 7.0k 1.6× 2.4k 0.7× 3.9k 1.4× 1.1k 0.5× 215 0.1× 243 13.5k
Erich A. Müller 2.7k 0.6× 1.6k 0.5× 4.5k 1.6× 1.2k 0.6× 393 0.2× 184 7.7k
Xiangyuan Li 1.6k 0.4× 1.2k 0.4× 1.4k 0.5× 719 0.3× 1.4k 0.7× 334 5.4k
Michael F. Doherty 4.6k 1.1× 427 0.1× 2.2k 0.8× 644 0.3× 532 0.3× 235 10.2k
Katharina Kohse‐Höinghaus 4.4k 1.0× 8.0k 2.5× 2.9k 1.0× 1.1k 0.5× 6.0k 2.9× 239 13.9k
Linda J. Broadbelt 4.0k 0.9× 424 0.1× 4.8k 1.7× 1.8k 0.9× 363 0.2× 281 13.5k
Amyn S. Teja 1.9k 0.5× 2.4k 0.7× 5.8k 2.0× 2.2k 1.1× 380 0.2× 226 8.8k
Yiguang Ju 4.3k 1.0× 11.1k 3.5× 2.1k 0.7× 575 0.3× 11.8k 5.6× 430 19.5k

Countries citing papers authored by Bin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Yang. A scholar is included among the top collaborators of Bin Yang 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 Bin Yang. Bin Yang 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.
2.
Zhang, Peng, István Gy. Zsély, Máté Papp, et al.. (2025). Comparison of methane combustion mechanisms using concentration measurements. Combustion and Flame. 282. 114499–114499.
3.
Liu, Nan, Haodong Chen, Mingming Zhang, et al.. (2024). Kinetic insights into nanosecond pulsed plasma assisted NH3/O2/Ar ignition with R-matrix cross section. Combustion and Flame. 267. 113571–113571. 5 indexed citations
4.
5.
Wang, Huanhuan, et al.. (2024). New insights into the NH3/N2O/Ar system: Key steps in N2O evolution. Proceedings of the Combustion Institute. 40(1-4). 105236–105236. 5 indexed citations
6.
Liu, Zhongkai, et al.. (2024). Chemical insights into plasma-assisted dry reforming of methane in a nanosecond discharge. Proceedings of the Combustion Institute. 40(1-4). 105404–105404. 2 indexed citations
7.
Zhang, Ridong, Qihang Zhang, Yunliang Qi, Bin Yang, & Zhi Wang. (2024). Investigation on flame propagation and end-gas auto-ignition of ammonia/hydrogen in a full-field-visualized rapid compression machine. Proceedings of the Combustion Institute. 40(1-4). 105455–105455. 2 indexed citations
8.
Gong, Xiufeng, Jin Yao, Bin Yang, et al.. (2024). Flotation separation of brucite and calcite in dodecylamine system enhanced by regulator potassium dihydrogen phosphate. Transactions of Nonferrous Metals Society of China. 34(8). 2658–2670. 24 indexed citations
9.
Yang, Bin, et al.. (2023). Bactrian Camel (Camelus bactrianus) Milk Exosomes Promote Glucose Consumption in L6 Cells. Indian Journal of Animal Research.
10.
Yang, Bin, et al.. (2023). Investigating auto-ignition characteristics and kinetic modeling of NH3/CH4 mixtures using an RCM. Combustion and Flame. 260. 113257–113257. 19 indexed citations
11.
Chen, Haodong, Zhongkai Liu, Zhaoying Li, et al.. (2023). Plasma-assisted low-temperature oxidation of n-butane: A synchrotron photoionization mass spectrometry and kinetic modeling study. Applications in Energy and Combustion Science. 14. 100134–100134. 5 indexed citations
12.
Liu, Chengcheng, et al.. (2023). Multi-fidelity neural network for uncertainty quantification of chemical reaction models. Combustion and Flame. 258. 113074–113074. 6 indexed citations
13.
Zhou, Zijun, et al.. (2023). Clustering algorithm for experimental datasets using global sensitivity-based affinity propagation (GSAP). Combustion and Flame. 259. 113121–113121. 4 indexed citations
14.
Yang, Bin, et al.. (2023). Chemical insights into the two-stage ignition behavior of NH3/H2 mixtures in an RCM. Combustion and Flame. 256. 112985–112985. 21 indexed citations
15.
Feng, Kai, Jiajun Zhang, Zhengwen Li, et al.. (2023). Spontaneous regeneration of active sites against catalyst deactivation. Applied Catalysis B: Environmental. 344. 123647–123647. 20 indexed citations
16.
Шмаков, А. Г., О. П. Коробейничев, Alexander M. Mebel, et al.. (2023). High-temperature thermal decomposition of triphenyl phosphate vapor in an inert medium: Flow reactor pyrolysis, quantum chemical calculations, and kinetic modeling. Combustion and Flame. 249. 112614–112614. 5 indexed citations
17.
Sun, Wenyu, et al.. (2022). Exploring low-temperature oxidation chemistry of 2- and 3-pentanone. Combustion and Flame. 257. 112561–112561. 9 indexed citations
18.
Braun‐Unkhoff, Marina, Nils Hansen, Maximilian Dietrich, et al.. (2020). Entanglement of n-heptane and iso-butanol chemistries in flames fueled by their mixtures. Proceedings of the Combustion Institute. 38(2). 2387–2395. 4 indexed citations
19.
Sun, Wenyu, Maxence Lailliau, Zeynep Serinyel, et al.. (2018). Insights into the oxidation kinetics of a cetane improver – 1,2-dimethoxyethane (1,2-DME) with experimental and modeling methods. Proceedings of the Combustion Institute. 37(1). 555–564. 15 indexed citations
20.
Huang, Can, Bin Yang, Feng Zhang, & Guangjun Tian. (2018). Quantification of the resonance stabilized C4H5 isomers and their reaction with acetylene. Combustion and Flame. 198. 334–341. 18 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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