Xiaobo Nie

1.6k total citations
42 papers, 1.3k citations indexed

About

Xiaobo Nie is a scholar working on Materials Chemistry, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Xiaobo Nie has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 13 papers in Computational Mechanics and 10 papers in Biomedical Engineering. Recurrent topics in Xiaobo Nie's work include Lattice Boltzmann Simulation Studies (9 papers), Gold and Silver Nanoparticles Synthesis and Applications (5 papers) and Advanced Polymer Synthesis and Characterization (5 papers). Xiaobo Nie is often cited by papers focused on Lattice Boltzmann Simulation Studies (9 papers), Gold and Silver Nanoparticles Synthesis and Applications (5 papers) and Advanced Polymer Synthesis and Characterization (5 papers). Xiaobo Nie collaborates with scholars based in China, United States and United Kingdom. Xiaobo Nie's co-authors include Shiyi Chen, Mark O. Robbins, Gary D. Doolen, Xiaowen Shan, Hudong Chen, Haibin Li, E. Ben‐Naim, Jin Liu, Yongjun Pan and Zhixiong Li and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Fluid Mechanics.

In The Last Decade

Xiaobo Nie

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobo Nie China 15 800 290 289 219 131 42 1.3k
Timothy N. Phillips United Kingdom 26 1.6k 2.0× 273 0.9× 431 1.5× 194 0.9× 57 0.4× 142 2.5k
Xiang Zhao China 13 324 0.4× 154 0.5× 470 1.6× 156 0.7× 93 0.7× 47 975
Jinku Wang China 13 959 1.2× 487 1.7× 486 1.7× 141 0.6× 101 0.8× 16 1.4k
Rolf Verberg United States 18 1.3k 1.6× 489 1.7× 486 1.7× 371 1.7× 122 0.9× 38 1.9k
S. McKee United Kingdom 28 1.0k 1.3× 116 0.4× 188 0.7× 67 0.3× 41 0.3× 86 1.7k
Robert Nürnberg Germany 21 847 1.1× 97 0.3× 86 0.3× 394 1.8× 89 0.7× 81 1.4k
C. Y. Soong Taiwan 20 591 0.7× 514 1.8× 687 2.4× 184 0.8× 122 0.9× 58 1.5k
Mauro Sbragaglia Italy 29 2.6k 3.2× 1.2k 4.0× 546 1.9× 312 1.4× 161 1.2× 103 3.3k
Markus M. Becker Germany 22 553 0.7× 896 3.1× 84 0.3× 179 0.8× 92 0.7× 75 1.7k
Roy H. Stogner United States 4 315 0.4× 101 0.3× 85 0.3× 339 1.5× 283 2.2× 5 1.1k

Countries citing papers authored by Xiaobo Nie

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobo Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobo Nie. A scholar is included among the top collaborators of Xiaobo Nie 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 Xiaobo Nie. Xiaobo Nie 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.
Nie, Xiaobo, et al.. (2022). Deep-Neural-Network-Based Modelling of Longitudinal-Lateral Dynamics to Predict the Vehicle States for Autonomous Driving. Sensors. 22(5). 2013–2013. 23 indexed citations
3.
Chen, Yanming, et al.. (2022). Surface Plasmon Resonance of Silver Nanocrystals in Ethylene Glycol: Regulation by Multiple Thermodynamic Factors. Journal of Cluster Science. 34(5). 2373–2380. 4 indexed citations
4.
Nie, Xiaobo & Yanming Chen. (2021). Observation of Dominant Nuclei and Magic-Sized CdS Nanoparticles in a Single-Phase System. Journal of Nanoscience and Nanotechnology. 21(12). 5987–5992. 1 indexed citations
5.
Pan, Yongjun, Xiaobo Nie, Zhixiong Li, & Shuitao Gu. (2021). Data-driven vehicle modeling of longitudinal dynamics based on a multibody model and deep neural networks. Measurement. 180. 109541–109541. 41 indexed citations
6.
Gong, Tao, Qinghua Hu, Xiaobo Nie, Tao Liu, & Hongqing Wang. (2020). Periodic Dynamic Regulation of MSCs Differentiation on Redox-Sensitive Elastic Switched Substrates. ACS Applied Bio Materials. 3(6). 3612–3620. 3 indexed citations
7.
Nie, Xiaobo, et al.. (2020). Upscaling Method for Obtaining Primary Drainage Capillary Pressure and Resistivity Index with Digital Rock Physics. International Petroleum Technology Conference. 2 indexed citations
8.
Nie, Xiaobo & Wei Jiang. (2019). Controlled morphological transition of ABC triblock copolymer aided by oleic acid via hydrogen bonding. Colloids and Surfaces A Physicochemical and Engineering Aspects. 581. 123839–123839. 5 indexed citations
9.
Zhang, Yongjun, et al.. (2017). The Design of Intelligent Home Furnishing System Based on ZigBee Technology. 1 indexed citations
10.
Nie, Xiaobo, et al.. (2016). A versatile approach to prepare ultralong nanofibers by coassembly of block copolymers and nanoparticles in emulsions. New Journal of Chemistry. 40(5). 4556–4561. 3 indexed citations
11.
Li, Haibin, et al.. (2016). Structural reliability calculation method based on the dual neural network and direct integration method. Neural Computing and Applications. 29(7). 425–433. 30 indexed citations
12.
Nie, Xiaobo, Jie Cui, & Wei Jiang. (2014). Ultralong cylindrical micelles precisely located with semiconductor nanorods by solvent evaporation-driven self-assembly. Soft Matter. 10(40). 8051–8059. 11 indexed citations
13.
Nie, Xiaobo, Jiangping Xu, Jie Cui, Bai Yang, & Wei Jiang. (2013). Encapsulation of semiconductor quantum dots into the central cores of block copolymer cylindrical and toroidal micelles. RSC Advances. 3(46). 24625–24625. 8 indexed citations
14.
Nie, Xiaobo, Xiaowen Shan, & Hudong Chen. (2008). Thermal lattice Boltzmann model for gases with internal degrees of freedom. Physical Review E. 77(3). 35701–35701. 45 indexed citations
15.
Liu, Jin, Shiyi Chen, Xiaobo Nie, & Mark O. Robbins. (2007). A continuum–atomistic simulation of heat transfer in micro- and nano-flows. Journal of Computational Physics. 227(1). 279–291. 89 indexed citations
16.
Nie, Xiaobo, Mark O. Robbins, & Shiyi Chen. (2006). Resolving Singular Forces in Cavity Flow: Multiscale Modeling from Atomic to Millimeter Scales. Physical Review Letters. 96(13). 134501–134501. 48 indexed citations
17.
Nie, Xiaobo. (2004). Simulation of granular flow and micro-flow. PhDT. 1 indexed citations
18.
Nie, Xiaobo, E. Ben‐Naim, & Shiyi Chen. (2002). Dynamics of Freely Cooling Granular Gases. Physical Review Letters. 89(20). 204301–204301. 67 indexed citations
19.
Chen, Shiyi, Yuefan Deng, Xiaobo Nie, & Yuhai Tu. (2000). Clustering kinetics of granular media in three dimensions. Physics Letters A. 269(4). 218–223. 14 indexed citations
20.
Nie, Xiaobo, Yuehong Qian, Gary D. Doolen, & Shiyi Chen. (1998). Lattice Boltzmann simulation of the two-dimensional Rayleigh-Taylor instability. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 58(5). 6861–6864. 35 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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