Tie-Jun Liu

43 total papers · 534 total citations
35 papers, 426 citations indexed

About

Tie-Jun Liu is a scholar working on Mechanics of Materials, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Tie-Jun Liu has authored 35 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mechanics of Materials, 9 papers in Mechanical Engineering and 9 papers in Materials Chemistry. Recurrent topics in Tie-Jun Liu's work include Mechanical stress and fatigue analysis (19 papers), Numerical methods in engineering (13 papers) and Adhesion, Friction, and Surface Interactions (12 papers). Tie-Jun Liu is often cited by papers focused on Mechanical stress and fatigue analysis (19 papers), Numerical methods in engineering (13 papers) and Adhesion, Friction, and Surface Interactions (12 papers). Tie-Jun Liu collaborates with scholars based in China, Germany and United States. Tie-Jun Liu's co-authors include Yue‐Sheng Wang, Yongming Xing, Yongming Xing, Chuanzeng Zhang, Fan Yang, Wei Liang, Peiyang Li, Xinyu Zhang, Litao Kang and Liao-Liang Ke and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Scientific Reports.

In The Last Decade

Tie-Jun Liu

31 papers receiving 416 citations

Author Peers

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

Author						Papers	Cites
Tie-Jun Liu	328	103	86	49	44	35	426
F. Thièry	272 0.8×	147 1.4×	275 3.2×	39 0.8×	97 2.2×	21	407
Jianshan Wang	122 0.4×	152 1.5×	130 1.5×	72 1.5×	69 1.6×	41	447
Shengjie Yu	83 0.3×	188 1.8×	179 2.1×	48 1.0×	60 1.4×	45	438
Atsushi Kondô	164 0.5×	90 0.9×	96 1.1×	19 0.4×	164 3.7×	48	453
Ping Hu	150 0.5×	213 2.1×	121 1.4×	13 0.3×	55 1.3×	38	372
Hongbo Zhang	98 0.3×	211 2.0×	187 2.2×	31 0.6×	29 0.7×	20	383
Karel Trojan	217 0.7×	186 1.8×	224 2.6×	46 0.9×	51 1.2×	29	380
Xiao Kang	158 0.5×	268 2.6×	149 1.7×	46 0.9×	78 1.8×	51	473
Seongmin Chang	180 0.5×	92 0.9×	178 2.1×	15 0.3×	60 1.4×	37	476
Yongping Wan	235 0.7×	120 1.2×	151 1.8×	173 3.5×	39 0.9×	44	464

Countries citing papers authored by Tie-Jun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Tie-Jun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tie-Jun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tie-Jun Liu. A scholar is included among the top collaborators of Tie-Jun 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 Tie-Jun Liu. Tie-Jun 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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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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