Liang Tan

1.1k total citations
56 papers, 871 citations indexed

About

Liang Tan is a scholar working on Mechanical Engineering, Ecological Modeling and Electrical and Electronic Engineering. According to data from OpenAlex, Liang Tan has authored 56 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Mechanical Engineering, 17 papers in Ecological Modeling and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Liang Tan's work include Surface Treatment and Residual Stress (28 papers), Advanced machining processes and optimization (28 papers) and Erosion and Abrasive Machining (17 papers). Liang Tan is often cited by papers focused on Surface Treatment and Residual Stress (28 papers), Advanced machining processes and optimization (28 papers) and Erosion and Abrasive Machining (17 papers). Liang Tan collaborates with scholars based in China, Singapore and United Kingdom. Liang Tan's co-authors include Changfeng Yao, Dinghua Zhang, Jiyin Zhang, Zheng Zhou, Daoxia Wu, Junxue Ren, Minchao Cui, Han Zhang, Yang Pan and Hongqian Xue and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Surface Science and Surface and Coatings Technology.

In The Last Decade

Liang Tan

52 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Tan China 17 827 276 221 202 175 56 871
John T. Cammett Belgium 7 627 0.8× 191 0.7× 208 0.9× 205 1.0× 118 0.7× 9 663
Yessine Ayed France 15 582 0.7× 206 0.7× 203 0.9× 109 0.5× 222 1.3× 35 644
Guosheng Su China 14 538 0.7× 170 0.6× 260 1.2× 111 0.5× 160 0.9× 50 597
S. Dominiak France 10 770 0.9× 151 0.5× 319 1.4× 135 0.7× 464 2.7× 12 819
Vincent Wagner France 14 499 0.6× 139 0.5× 109 0.5× 98 0.5× 116 0.7× 43 542
C. Claudin France 17 713 0.9× 219 0.8× 406 1.8× 198 1.0× 160 0.9× 18 765
Zhelun Ma China 13 597 0.7× 117 0.4× 423 1.9× 80 0.4× 185 1.1× 43 706
Jordan Maximov Bulgaria 19 919 1.1× 353 1.3× 79 0.4× 332 1.6× 35 0.2× 73 1.1k
Matthias Hackert‐Oschätzchen Germany 15 590 0.7× 99 0.4× 471 2.1× 60 0.3× 638 3.6× 52 779
D. Maurie Lung Germany 17 834 1.0× 225 0.8× 499 2.3× 174 0.9× 372 2.1× 29 911

Countries citing papers authored by Liang Tan

Since Specialization
Citations

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

Fields of papers citing papers by Liang Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Tan. A scholar is included among the top collaborators of Liang Tan 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 Liang Tan. Liang Tan 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.
Tan, Liang, Minchao Cui, Junxue Ren, et al.. (2025). Research progress on intelligent monitoring of machining condition based on indirect method. Advanced Engineering Informatics. 67. 103518–103518.
3.
Yao, Changfeng, et al.. (2025). Vibration fatigue strength prediction of Precision-Milled ATI718 plus alloy Blades: Surface integrity and fatigue performance. International Journal of Fatigue. 200. 109104–109104.
4.
Yao, Changfeng, Junlin Chen, & Liang Tan. (2024). Experimental investigation on surface integrity and fatigue performance of Ti60 alloy under ultrasonic impact treatment. Engineering Failure Analysis. 164. 108639–108639. 10 indexed citations
5.
Fan, Tao, et al.. (2024). The influence of induction-assisted milling on the machining characteristics and surface integrity of γ-TiAl alloys. Journal of Manufacturing Processes. 118. 215–227. 10 indexed citations
6.
Yao, Changfeng, et al.. (2024). Surface integrity and fatigue failure behavior of nickel based alloy blades: After cutting, vibration finishing and shot peening. Engineering Failure Analysis. 167. 109034–109034. 7 indexed citations
7.
Yao, Changfeng, et al.. (2024). Investigation of control method on blade shape accuracy of blisk in vibration finishing. Advances in Manufacturing. 13(2). 377–394. 1 indexed citations
8.
Yao, Changfeng, et al.. (2024). Microstructure evolution of ATI718 plus alloy during high-speed machining: Experiments and a combined FE-CA approach. Chinese Journal of Aeronautics. 37(12). 498–521. 4 indexed citations
9.
Zhou, Zheng, et al.. (2023). Experimental study on surface integrity refactoring changes of Ti-17 under milling-ultrasonic rolling composite process. Advances in Manufacturing. 11(3). 492–508. 3 indexed citations
10.
Tan, Liang, et al.. (2023). Precipitation mechanism of dispersed carbide in a gear carburizing layer and its effect on properties. Engineering Reports. 6(8). 1 indexed citations
11.
Zhang, Jiyin, Changfeng Yao, Liang Tan, et al.. (2022). Effects of shot-peening parameters, path, and sequence on residual stress of TC17 alloy. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 237(12). 1810–1818. 4 indexed citations
12.
Zhang, Jiyin, Changfeng Yao, Liang Tan, et al.. (2021). Shot peening parameters optimization based on residual stress-induced deformation of large fan blades. Thin-Walled Structures. 161. 107467–107467. 21 indexed citations
13.
14.
Tan, Liang, et al.. (2021). Research progress on formation mechanism of surface integrity in titanium alloy machining. SHILAP Revista de lepidopterología. 41(4). 1–16. 1 indexed citations
15.
Zhang, Dinghua, et al.. (2021). Studies and Optimization of Surface Roughness and Residual Stress in Ball Burnishing of Ti60 Alloy. Journal of Materials Engineering and Performance. 31(5). 3457–3470. 5 indexed citations
16.
Tan, Liang, Bo Liu, Stephen Spence, Xiaochen Mao, & Hui Cheng. (2020). Numerical Investigation into the Effects of Tip Clearance on the Performance of a Counter-Rotating Axial Flow Compressor. Journal of Applied Fluid Mechanics. 13(5). 1 indexed citations
17.
Zhang, Dinghua, et al.. (2020). Investigation of residual stress distribution induced during deep rolling of Ti-6Al-4V alloy. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 235(1-2). 186–197. 6 indexed citations
18.
Tan, Liang, Changfeng Yao, Dinghua Zhang, et al.. (2020). Evolution of surface integrity and fatigue properties after milling, polishing, and shot peening of TC17 alloy blades. International Journal of Fatigue. 136. 105630–105630. 71 indexed citations
19.
Tan, Liang, et al.. (2017). Effect of High-Speed Milling Parameters on Surface Metamorphic Layer of TC17 Titanium Alloy. SHILAP Revista de lepidopterología. 3 indexed citations
20.
Tan, Liang, et al.. (2015). Influence of Tool Geometrical Parameters on Milling Force and Surface Integrity in Milling Titanium Alloy. Zhongguo jixie gongcheng. 26(6). 737. 1 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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