L. Dai

563 total citations
26 papers, 466 citations indexed

About

L. Dai is a scholar working on Materials Chemistry, Mechanics of Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, L. Dai has authored 26 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 9 papers in Mechanics of Materials and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in L. Dai's work include ZnO doping and properties (7 papers), Force Microscopy Techniques and Applications (6 papers) and Metal and Thin Film Mechanics (6 papers). L. Dai is often cited by papers focused on ZnO doping and properties (7 papers), Force Microscopy Techniques and Applications (6 papers) and Metal and Thin Film Mechanics (6 papers). L. Dai collaborates with scholars based in Singapore, China and India. L. Dai's co-authors include V.B.C. Tan, Chwee Teck Lim, Chorng Haur Sow, Yong‐Wei Zhang, V. Sorkin, Eunice Phay Shing Tan, Wai Chye Cheong, Binni Varghese, Yinghuai Zhu and Ting Yu and has published in prestigious journals such as Nano Letters, Applied Physics Letters and Langmuir.

In The Last Decade

L. Dai

24 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Dai Singapore 13 270 134 128 115 107 26 466
Jian Yi China 16 363 1.3× 113 0.8× 90 0.7× 86 0.7× 186 1.7× 38 583
Xin Tan China 12 330 1.2× 139 1.0× 246 1.9× 79 0.7× 86 0.8× 75 526
Ronald L. Jacobsen United States 13 319 1.2× 117 0.9× 75 0.6× 107 0.9× 194 1.8× 26 585
Patrice Kreiml Austria 11 253 0.9× 167 1.2× 163 1.3× 138 1.2× 130 1.2× 25 529
D. T. Jayne United States 10 296 1.1× 141 1.1× 170 1.3× 67 0.6× 219 2.0× 27 596
Guochen Zhao China 12 232 0.9× 107 0.8× 212 1.7× 112 1.0× 86 0.8× 30 523
M. Kokonou Greece 10 208 0.8× 72 0.5× 133 1.0× 90 0.8× 85 0.8× 20 353
Feng‐Chun Hsia Netherlands 11 169 0.6× 143 1.1× 276 2.2× 83 0.7× 101 0.9× 16 545
Huicong Dong China 13 408 1.5× 122 0.9× 85 0.7× 63 0.5× 231 2.2× 35 602
A.F. Beloto Brazil 14 357 1.3× 213 1.6× 275 2.1× 128 1.1× 40 0.4× 52 565

Countries citing papers authored by L. Dai

Since Specialization
Citations

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

Fields of papers citing papers by L. Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Dai

This figure shows the co-authorship network connecting the top 25 collaborators of L. Dai. A scholar is included among the top collaborators of L. Dai 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 L. Dai. L. Dai 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.
Dai, L., Liqun Li, Xiankai Meng, et al.. (2025). A discrete element model for analyzing porosity defect evolution in multi-layer laser powder bed fusion of 2195 Al-Li alloy. Journal of Alloys and Compounds. 1036. 181689–181689.
2.
Wang, Yulin, L. Dai, Zhongxiang Ding, et al.. (2025). Toward general text-guided multimodal brain MRI synthesis for diagnosis and medical image analysis. Cell Reports Medicine. 6(6). 102182–102182. 3 indexed citations
3.
Dai, L., Yingleong Chan, Guglielmo Vastola, & Yong‐Wei Zhang. (2024). Discrete element simulation of powder layer spreading by blade sliding: packing factor, mechanism, and optimization. Computational Particle Mechanics. 12(1). 399–411.
4.
Dai, L., et al.. (2022). Discrete element simulation of powder flow in revolution powder analyser: Effects of shape factor, friction and adhesion. Powder Technology. 408. 117790–117790. 5 indexed citations
5.
Dai, L., et al.. (2022). Molecular simulation of linear octacosane via a CG10 coarse grain scheme. Physical Chemistry Chemical Physics. 24(9). 5351–5359. 2 indexed citations
6.
Dai, L., et al.. (2021). Molecular dynamics simulation of octacosane for phase diagrams and properties via the united-atom scheme. Physical Chemistry Chemical Physics. 23(37). 21262–21271. 10 indexed citations
7.
Dai, L., Yingleong Chan, Guglielmo Vastola, et al.. (2020). Characterizing the intrinsic properties of powder – A combined discrete element analysis and Hall flowmeter testing study. Advanced Powder Technology. 32(1). 80–87. 16 indexed citations
8.
Dai, L., V. Sorkin, & Yong‐Wei Zhang. (2017). Probing the surface profile and friction behavior of heterogeneous polymers: a molecular dynamics study. Modelling and Simulation in Materials Science and Engineering. 25(3). 35003–35003. 2 indexed citations
9.
Dai, L., V. Sorkin, & Yong‐Wei Zhang. (2015). Depth sensing-induced inelastic deformation at heterogeneous polymer surface. Polymer. 68. 11–16. 2 indexed citations
10.
Dai, L., V. Sorkin, Zhen-Dong Sha, et al.. (2014). Molecular Dynamics Simulations on the Frictional Behavior of a Perfluoropolyether Film Sandwiched between Diamond-like-Carbon Coatings. Langmuir. 30(6). 1573–1579. 23 indexed citations
11.
Dai, L., N. Satyanarayana, Sujeet K. Sinha, & V.B.C. Tan. (2012). Analysis of PFPE lubricating film in NEMS application via molecular dynamics simulation. Tribology International. 60. 53–57. 16 indexed citations
12.
Dai, L., et al.. (2011). Identifying the Mechanisms of Polymer Friction through Molecular Dynamics Simulation. Langmuir. 27(24). 14861–14867. 31 indexed citations
13.
Zhu, Yanwu, Yousheng Zhang, L. Dai, et al.. (2009). Mechanical characterization of hotplate synthesized vanadium oxide nanobelts. Acta Materialia. 58(2). 415–420. 16 indexed citations
14.
Dai, L., Wai Chye Cheong, Chorng Haur Sow, Chwee Teck Lim, & V.B.C. Tan. (2009). Molecular Dynamics Simulation of ZnO Nanowires: Size Effects, Defects, and Super Ductility. Langmuir. 26(2). 1165–1171. 35 indexed citations
15.
Dai, L., Chorng Haur Sow, Chwee Teck Lim, Wai Chye Cheong, & V.B.C. Tan. (2009). Numerical Investigations into the Tensile Behavior of TiO2 Nanowires: Structural Deformation, Mechanical Properties, and Size Effects. Nano Letters. 9(2). 576–582. 30 indexed citations
16.
Varghese, Binni, Yousheng Zhang, L. Dai, et al.. (2008). Structure-Mechanical Property of Individual Cobalt Oxide Nanowires. Nano Letters. 8(10). 3226–3232. 56 indexed citations
17.
Tan, Eunice Phay Shing, Yinghuai Zhu, Ting Yu, et al.. (2007). Crystallinity and surface effects on Young’s modulus of CuO nanowires. Applied Physics Letters. 90(16). 83 indexed citations
18.
Yang, Wei, et al.. (2006). Catalyst-Free Synthesis of Well-Aligned ZnO Nanowires on In<SUB>0.2</SUB>Ga<SUB>0.8</SUB>N, GaN, and Al<SUB>0.25</SUB>Ga<SUB>0.75</SUB>N Substrates. Journal of Nanoscience and Nanotechnology. 6(12). 3780–3783. 2 indexed citations
19.
Huo, Haibin, L. Dai, Dayong Xia, et al.. (2006). Synthesis and Optical Properties of ZnTe Single-Crystalline Nanowires. Journal of Nanoscience and Nanotechnology. 6(4). 1182–1184. 24 indexed citations
20.
Dai, L., et al.. (2005). Investigation of metal diffusion into polymers by ab initio molecular dynamics. Applied Physics Letters. 87(3). 6 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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