Liran Ma

1.6k total citations · 1 hit paper
44 papers, 1.3k citations indexed

About

Liran Ma is a scholar working on Mechanics of Materials, Atomic and Molecular Physics, and Optics and Mechanical Engineering. According to data from OpenAlex, Liran Ma has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Mechanics of Materials, 26 papers in Atomic and Molecular Physics, and Optics and 17 papers in Mechanical Engineering. Recurrent topics in Liran Ma's work include Adhesion, Friction, and Surface Interactions (26 papers), Force Microscopy Techniques and Applications (24 papers) and Lubricants and Their Additives (8 papers). Liran Ma is often cited by papers focused on Adhesion, Friction, and Surface Interactions (26 papers), Force Microscopy Techniques and Applications (24 papers) and Lubricants and Their Additives (8 papers). Liran Ma collaborates with scholars based in China, Israel and United States. Liran Ma's co-authors include Jianbin Luo, Chenhui Zhang, Min Liu, Jinjin Li, Yuhong Liu, Yu Tian, Yuan Gao, Pengpeng Bai, Yonggang Meng and Hongyu Lu and has published in prestigious journals such as Journal of Applied Physics, Langmuir and Chemical Engineering Journal.

In The Last Decade

Liran Ma

43 papers receiving 1.2k citations

Hit Papers

Origin of friction and th... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liran Ma China 18 701 687 419 310 217 44 1.3k
Leonid Dorogin Estonia 19 389 0.6× 212 0.3× 282 0.7× 303 1.0× 287 1.3× 57 924
Dehua Yang United States 18 516 0.7× 206 0.3× 187 0.4× 698 2.3× 298 1.4× 45 1.1k
Steven T. Patton United States 19 561 0.8× 251 0.4× 481 1.1× 324 1.0× 194 0.9× 40 1.0k
Mehmet Z. Baykara United States 21 862 1.2× 793 1.2× 810 1.9× 904 2.9× 246 1.1× 50 2.0k
David S. Grierson United States 20 1.1k 1.6× 530 0.8× 793 1.9× 1.2k 4.0× 272 1.3× 37 1.8k
Takashi Sumigawa Japan 18 555 0.8× 398 0.6× 105 0.3× 681 2.2× 288 1.3× 99 1.2k
Kaline P. Furlan Germany 15 247 0.4× 340 0.5× 141 0.3× 277 0.9× 74 0.3× 49 734
Feng Gong China 22 474 0.7× 765 1.1× 103 0.2× 480 1.5× 426 2.0× 108 1.3k
Junho Choi Japan 23 1.0k 1.4× 625 0.9× 199 0.5× 1.0k 3.3× 230 1.1× 113 1.6k
Hongbo Xia China 21 153 0.2× 697 1.0× 236 0.6× 328 1.1× 174 0.8× 46 1.2k

Countries citing papers authored by Liran Ma

Since Specialization
Citations

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

Fields of papers citing papers by Liran Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liran Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Liran Ma. A scholar is included among the top collaborators of Liran Ma 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 Liran Ma. Liran Ma 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.
Zhou, Xue, Xinxin Li, Pengpeng Bai, et al.. (2025). Capability and probability of frictional engagement of spines on rough surfaces. Tribology International. 204. 110533–110533.
2.
Wang, Xianzhang, Jiaqi Shao, Yuan Liu, et al.. (2025). Liquid-solid triboelectric nanogenerator for bubbles real-time detecting. Chemical Engineering Journal. 506. 160049–160049. 5 indexed citations
3.
Wei, Yukun, et al.. (2025). PDMS@SiO2 surface modified superhydrophobic melamine sponges for enhanced drag reduction. Surface and Coatings Technology. 509. 132200–132200. 5 indexed citations
4.
Li, Yuanzhe, Xue Zhou, Pengpeng Bai, et al.. (2024). Experiment and modelling of texture and sliding direction dependence on finger friction behavior. Friction. 12(9). 1955–1968. 1 indexed citations
5.
Han, Ke, et al.. (2023). Investigation of the running-in process in photoinduced superlubricity. Frontiers in Materials. 10. 7 indexed citations
6.
Han, Tianyi, Wei Cao, Vahid Adibnia, et al.. (2023). Hydration layer structure modulates superlubrication by trivalent La 3+ electrolytes. Science Advances. 9(28). eadf3902–eadf3902. 68 indexed citations
7.
Ma, Liran, Yu Tian, Ming Ma, et al.. (2023). Low friction under ultrahigh contact pressure enabled by self-assembled fluorinated azobenzene layers. Friction. 12(7). 1434–1448. 1 indexed citations
8.
Li, Yuanzhe, Xue Zhou, Pengpeng Bai, et al.. (2023). Sliding direction dependence of stick-slip in finger friction. Tribology International. 191. 109141–109141. 4 indexed citations
9.
Han, Ke, Liran Ma, Yu Tian, & Jianbin Luo. (2023). Photoinduced superlubricity on TiO2 surfaces. Friction. 12(3). 428–438. 6 indexed citations
10.
Liu, Zhifeng, et al.. (2021). Applications of sum-frequency generation vibrational spectroscopy in friction interface. Friction. 10(2). 179–199. 5 indexed citations
11.
Zhang, Liwen, Huawei Chen, Yurun Guo, et al.. (2020). Micro–Nano Hierarchical Structure Enhanced Strong Wet Friction Surface Inspired by Tree Frogs. Advanced Science. 7(20). 2001125–2001125. 109 indexed citations
12.
Wang, Jin, Cangyu Qu, Liran Ma, et al.. (2020). Negative friction coefficient in microscale graphite/mica layered heterojunctions. Science Advances. 6(16). eaaz6787–eaaz6787. 33 indexed citations
13.
Zhang, Liwen, Huawei Chen, Yurun Guo, et al.. (2020). Wet Surface Attachment: Micro–Nano Hierarchical Structure Enhanced Strong Wet Friction Surface Inspired by Tree Frogs (Adv. Sci. 20/2020). Advanced Science. 7(20). 19 indexed citations
14.
Gao, Ming, Haoyu Li, Liran Ma, et al.. (2019). Molecular behaviors in thin film lubrication—Part two: Direct observation of the molecular orientation near the solid surface. Friction. 7(5). 479–488. 40 indexed citations
15.
Ma, Liran, et al.. (2019). Modelling for water-based liquid lubrication with ultra-low friction coefficient in rough surface point contact. Tribology International. 141. 105901–105901. 24 indexed citations
16.
Bai, Pengpeng, Shaowei Li, Wenpeng Jia, et al.. (2019). Environmental atmosphere effect on lubrication performance of gallium-based liquid metal. Tribology International. 141. 105904–105904. 25 indexed citations
17.
Liang, He, Dan Guo, Liran Ma, & Jianbin Luo. (2017). Increased Film Thickness of Oil-in-Water (O/W) Emulsions at High Speed. Tribology Letters. 65(2). 2 indexed citations
18.
Gao, Yuan, Liran Ma, & Jianbin Luo. (2016). Friction Anisotropy Induced by Oriented Liquid Crystal Molecules. Tribology Letters. 61(3). 12 indexed citations
19.
Zhang, Yirui, Liran Ma, Xuefeng Xu, et al.. (2016). Triboluminescence modulated by humidity. Journal of Luminescence. 182. 22–28. 12 indexed citations
20.
Ma, Liran, Jianbin Luo, & Chenhui Zhang. (2010). Effect of solid surface on the formation of thin confined lubricating film of water with micro-content of oil. Applied Surface Science. 256(22). 6574–6579. 12 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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