Xiaobin Liang

2.6k total citations
70 papers, 2.1k citations indexed

About

Xiaobin Liang is a scholar working on Atomic and Molecular Physics, and Optics, Biomedical Engineering and Polymers and Plastics. According to data from OpenAlex, Xiaobin Liang has authored 70 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atomic and Molecular Physics, and Optics, 22 papers in Biomedical Engineering and 18 papers in Polymers and Plastics. Recurrent topics in Xiaobin Liang's work include Force Microscopy Techniques and Applications (33 papers), Polymer Nanocomposites and Properties (13 papers) and Mechanical and Optical Resonators (9 papers). Xiaobin Liang is often cited by papers focused on Force Microscopy Techniques and Applications (33 papers), Polymer Nanocomposites and Properties (13 papers) and Mechanical and Optical Resonators (9 papers). Xiaobin Liang collaborates with scholars based in Japan, United States and China. Xiaobin Liang's co-authors include K. Nakajima, Ali Khademhosseini, Hitoshi Shiku, Samad Ahadian, Tomokazu Matsue, Serge Ostrovidov, Mehdi Estili, Javier Ramón‐Azcón, Murugan Ramalingam and Makiko Ito and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Xiaobin Liang

65 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobin Liang Japan 24 1.2k 565 446 430 307 70 2.1k
C. Allan Guymon United States 39 768 0.7× 390 0.7× 524 1.2× 894 2.1× 255 0.8× 116 3.5k
Huanqing Cui China 20 975 0.8× 330 0.6× 192 0.4× 279 0.6× 633 2.1× 41 1.7k
Mohammad Vatankhah‐Varnosfaderani United States 18 896 0.8× 518 0.9× 611 1.4× 289 0.7× 435 1.4× 25 2.1k
Jenny Malmström New Zealand 27 984 0.8× 317 0.6× 514 1.2× 336 0.8× 100 0.3× 74 2.0k
Honglei Guo China 21 899 0.8× 483 0.9× 454 1.0× 366 0.9× 497 1.6× 69 2.2k
Kirill Feldman Switzerland 24 633 0.5× 302 0.5× 478 1.1× 418 1.0× 100 0.3× 35 1.9k
Lidong Zhang China 28 1.2k 1.1× 350 0.6× 351 0.8× 352 0.8× 942 3.1× 110 2.2k
Zhigang Suo United States 8 1.2k 1.0× 312 0.6× 415 0.9× 133 0.3× 375 1.2× 11 1.8k
Liangliang Qu China 25 948 0.8× 401 0.7× 891 2.0× 649 1.5× 172 0.6× 45 2.2k
Georgi Stoychev Germany 22 1.7k 1.4× 448 0.8× 328 0.7× 464 1.1× 1.3k 4.2× 37 2.7k

Countries citing papers authored by Xiaobin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobin Liang. A scholar is included among the top collaborators of Xiaobin Liang 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 Xiaobin Liang. Xiaobin Liang 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.
Liang, Xiaobin, et al.. (2025). An In Situ Method for Deciphering Nanomechanical Behavior in Elastomer Nanocomposites under Large Deformation. Macromolecules. 58(13). 6688–6697. 1 indexed citations
2.
3.
Liang, Xiaobin, et al.. (2024). Investigating single-chain structure during the crystallization process by atomic force microscopy. Polymer. 316. 127883–127883. 1 indexed citations
4.
Liang, Xiaobin & Ying Hu. (2024). A Light-Spurred Self-Oscillator of Liquid Crystal Elastomer with Tunable Shielding Area under Constant Irradiation. Mechanics of Solids. 59(6). 3584–3600. 1 indexed citations
5.
Mori, Masato, Xiaobin Liang, & K. Nakajima. (2023). Application of Thermal Noise Analysis to Viscoelasticity Measurements of Single Polymer Chains using AFM with High-Tip Cantilever. e-Journal of Surface Science and Nanotechnology. 21(3). 224–230. 1 indexed citations
6.
Chen, Yugen, Fumitaka Ishiwari, Tomoya Fukui, et al.. (2023). Overcoming the entropy of polymer chains by making a plane with terminal groups: a thermoplastic PDMS with a long-range 1D structural order. Chemical Science. 14(9). 2431–2440. 11 indexed citations
7.
Liang, Xiaobin. (2023). Visualization of Nanomechanical Properties of Polymer Composites Using Atomic Force Microscopy. Polymer Journal. 55(9). 913–920. 12 indexed citations
8.
Ito, Makiko, et al.. (2023). Improved Quantification of Nanoscale Viscoelasticity Measurements by Nanorheological Atomic Force Microscopy. NIPPON GOMU KYOKAISHI. 96(5). 113–118.
9.
Liang, Xiaobin, et al.. (2022). Study of the Dynamic Viscoelasticity of Single Poly(N-isopropylacrylamide) Chains Using Atomic Force Microscopy. Macromolecules. 55(24). 10891–10899. 7 indexed citations
10.
Liang, Xiaobin, Chih‐Ting Liu, Yu‐Jing Chiu, et al.. (2020). Sequential Selective Solvent On-Film Annealing: Fabrication of Monolayers of Ordered Anisotropic Polymer Particles. ACS Applied Materials & Interfaces. 12(31). 35731–35739. 3 indexed citations
11.
12.
Rao, S. Nagaraja, Kazuko Nakazono, Xiaobin Liang, K. Nakajima, & Toshikazu Takata. (2019). A supramolecular network derived by rotaxane tethering three ureido pyrimidinone groups. Chemical Communications. 55(36). 5231–5234. 13 indexed citations
13.
Cui, Kunpeng, Tao Lin Sun, Xiaobin Liang, et al.. (2018). Multiscale Energy Dissipation Mechanism in Tough and Self-Healing Hydrogels. Physical Review Letters. 121(18). 185501–185501. 160 indexed citations
14.
Ahadian, Samad, Mehdi Estili, Xiaobin Liang, et al.. (2017). Carbon nanotubes embedded in embryoid bodies direct cardiac differentiation. Biomedical Microdevices. 19(3). 57–57. 32 indexed citations
15.
Ahadian, Samad, Yuanshu Zhou, Mehdi Estili, et al.. (2016). Graphene induces spontaneous cardiac differentiation in embryoid bodies. Nanoscale. 8(13). 7075–7084. 36 indexed citations
16.
Ahadian, Samad, Mehdi Estili, Surya Velappa Jayaraman, et al.. (2015). Facile and green production of aqueous graphene dispersions for biomedical applications. Nanoscale. 7(15). 6436–6443. 106 indexed citations
17.
Ahadian, Samad, Javier Ramón‐Azcón, Mehdi Estili, et al.. (2015). Hybrid hydrogel-aligned carbon nanotube scaffolds to enhance cardiac differentiation of embryoid bodies. Acta Biomaterialia. 31. 134–143. 136 indexed citations
18.
Ostrovidov, Serge, Xuetao Shi, Ling Zhang, et al.. (2014). Myotube formation on gelatin nanofibers – Multi-walled carbon nanotubes hybrid scaffolds. Biomaterials. 35(24). 6268–6277. 89 indexed citations
19.
Ahadian, Samad, Javier Ramón‐Azcón, Mehdi Estili, et al.. (2014). Hybrid hydrogels containing vertically aligned carbon nanotubes with anisotropic electrical conductivity for muscle myofiber fabrication. Scientific Reports. 4(1). 4271–4271. 196 indexed citations
20.
Ramón‐Azcón, Javier, Samad Ahadian, Mehdi Estili, et al.. (2013). Dielectrophoretically Aligned Carbon Nanotubes to Control Electrical and Mechanical Properties of Hydrogels to Fabricate Contractile Muscle Myofibers. Advanced Materials. 25(29). 4028–4034. 224 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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