M. Liu

511 total citations
11 papers, 423 citations indexed

About

M. Liu is a scholar working on Mechanical Engineering, Metals and Alloys and Materials Chemistry. According to data from OpenAlex, M. Liu has authored 11 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanical Engineering, 4 papers in Metals and Alloys and 4 papers in Materials Chemistry. Recurrent topics in M. Liu's work include Microstructure and Mechanical Properties of Steels (5 papers), Hydrogen embrittlement and corrosion behaviors in metals (4 papers) and High Temperature Alloys and Creep (3 papers). M. Liu is often cited by papers focused on Microstructure and Mechanical Properties of Steels (5 papers), Hydrogen embrittlement and corrosion behaviors in metals (4 papers) and High Temperature Alloys and Creep (3 papers). M. Liu collaborates with scholars based in China, United States and Germany. M. Liu's co-authors include Guanghui Cao, A.M. Russell, C.H. Wang, Xing Li, Tianyi Sun, Dagmar Gerthsen, Reinhard Schneider, Zhiping Zhou, Xiaoming Dong and Pengfei Hu and has published in prestigious journals such as Materials Science and Engineering A, Journal of Materials Science and Materials Characterization.

In The Last Decade

M. Liu

11 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Liu China	7	362	184	113	91	59	11	423
Sven Jüttner Germany	13	410 1.1×	116 0.6×	112 1.0×	40 0.4×	96 1.6×	41	445
Cédric Bosch France	9	266 0.7×	155 0.8×	146 1.3×	61 0.7×	35 0.6×	20	356
A. Vinoth Jebaraj India	12	397 1.1×	140 0.8×	156 1.4×	90 1.0×	87 1.5×	25	453
Sheng-Hui Wang Canada	14	420 1.2×	332 1.8×	202 1.8×	59 0.6×	165 2.8×	20	575
Yuanjian Hong China	12	457 1.3×	228 1.2×	249 2.2×	86 0.9×	105 1.8×	25	566
Eslam Ranjbarnodeh Iran	14	429 1.2×	96 0.5×	87 0.8×	30 0.3×	75 1.3×	32	464
Krzysztof S. Stopka United States	14	337 0.9×	204 1.1×	57 0.5×	61 0.7×	268 4.5×	22	450
Shun Tokita Japan	12	341 0.9×	142 0.8×	99 0.9×	38 0.4×	76 1.3×	28	384
Yongxin Lu China	13	318 0.9×	168 0.9×	139 1.2×	23 0.3×	60 1.0×	34	409
Huimin Tao China	7	265 0.7×	112 0.6×	144 1.3×	50 0.5×	44 0.7×	16	331

Countries citing papers authored by M. Liu

Since Specialization

Citations

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

Fields of papers citing papers by M. Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of M. Liu. A scholar is included among the top collaborators of M. Liu 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 M. Liu. M. Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Liu, M., Haiqing Zhou, Fushun Wang, et al.. (2018). A machine learning enabled optical IMDD SDM OFDM system. 1–2. 3 indexed citations

Liu, M., et al.. (2018). Artificial Neural Network based Modulation Identification for Elastic Optical Networks. 1–2. 3 indexed citations

Liu, M., et al.. (2018). A systematical analysis with respect to multiple hydrogen traps influencing sulfide stress cracking behavior of API-5CT-C110 casing steel. Materials Science and Engineering A. 721. 81–88. 29 indexed citations

Cao, Guanghui, Tianyi Sun, C.H. Wang, et al.. (2018). Investigations of γ′, γ″ and δ precipitates in heat-treated Inconel 718 alloy fabricated by selective laser melting. Materials Characterization. 136. 398–406. 212 indexed citations

Liu, M., et al.. (2017). Microstructure evolution and mechanical properties in 1Cr low alloy steel with different heat treatments. Materials Science and Engineering A. 705. 291–299. 7 indexed citations

Mao, Xuefeng, et al.. (2017). Calabi–Yau properties of nontrivial Noetherian DG down-up algebras. Journal of Algebra and Its Applications. 17(5). 1850090–1850090. 5 indexed citations

Liu, M., et al.. (2017). Effects of microstructure and crystallography on mechanical properties of cold-rolled SAE1078 pearlitic steel. Materials Science and Engineering A. 709. 115–124. 23 indexed citations

Liu, M., C.H. Wang, Xing Li, et al.. (2017). Effect of quenching and tempering process on sulfide stress cracking susceptibility in API-5CT-C110 casing steel. Materials Science and Engineering A. 688. 378–387. 47 indexed citations

Wang, C.H., M. Liu, Xing Li, et al.. (2016). Martensitic microstructures and mechanical properties of as-quenched metastable β-type Ti–Mo alloys. Journal of Materials Science. 51(14). 6886–6896. 49 indexed citations

10.

Liu, M., et al.. (2016). Effect of microstructure and crystallography on sulfide stress cracking in API-5CT-C110 casing steel. Materials Science and Engineering A. 671. 244–253. 43 indexed citations

11.

Ren, Xin, M. Liu, Shuai Yuan, Jin Cao, & Liyi Shi. (2015). Comparison of ZnO nanorod-based bulk and conformal hybrid solar cells. Materials Research Innovations. 19(5). 324–327. 2 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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