Xin Bian

2.2k citations
73 papers · 1.6k · h-index 22

Impact in

Papers in

    • Lattice Boltzmann Simulation Studies 17
    • Fluid Dynamics Simulations and Interactions 16
    • Fluid Dynamics and Vibration Analysis 7
    • Block Copolymer Self-Assembly 10
    • Material Dynamics and Properties 7

Xin Bian

65 papers receiving 1.6k citations

Peers

Xin Bian
Comparison fields: 5 of 135
  • Computational Mechanics 409
  • Fluid Flow and Transfer Processes 111
  • Condensed Matter Physics 127
  • Cancer Research 142
  • Statistical and Nonlinear Physics 110
Replace Hiroaki Ito with:
Hiroaki Ito Japan
Huan Lei China
Igor V. Pivkin United States
S-H Chen Taiwan
O. Berk Usta United States
Giuseppe Pontrelli Italy
Eugenia Corvera Poiré Mexico
Claude Verdier France
Kangcheng Liu China
Joseph W. Nichols United States
Xin Bian relative to Hiroaki Ito Japan Hiroaki Ito's profile →
Citations per field
00.5×6.9×
Hiroaki Ito · 1×
Citations per year

Countries citing papers authored by Xin Bian

Since Specialization
Citations

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

Fields of papers citing papers by Xin Bian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xin Bian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xin Bian Line = papers co-authored together Xin Bian links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005146
2 2001138
3 2016121
4 201597
5 201493
6 201290
7 201761
8 200257
9 201357
10 201554
11 201447
12 201640
13 202039
14 201934
15 202333
16 200431
17 201529
18 201527
19 200625
20 201222

About Xin Bian

Xin Bian is a scholar working on Computational Mechanics, Materials Chemistry, Biomedical Engineering, Condensed Matter Physics and Mechanical Engineering, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (17 papers), Fluid Dynamics Simulations and Interactions (16 papers), Block Copolymer Self-Assembly (10 papers), Material Dynamics and Properties (7 papers), Fluid Dynamics and Vibration Analysis (7 papers), Micro and Nano Robotics (6 papers), Neuroblastoma Research and Treatments (5 papers) and Model Reduction and Neural Networks (5 papers). The work is most often cited by research in Computational Mechanics (409 citations), Fluid Flow and Transfer Processes (111 citations), Condensed Matter Physics (127 citations), Cancer Research (142 citations) and Statistical and Nonlinear Physics (110 citations). Xin Bian has collaborated with scholars based in China, United States and Germany. Frequent co-authors include George Em Karniadakis, Zhen Li, Marco Ellero, Anthony W. Opipari, Valerie P. Castle, Sergey Litvinov, Changho Kim, Roland P.S. Kwok, Chitra Subramanian and Yuhang Tang. Their work appears in journals such as Physics of Fluids, Physical review. E, Journal of Computational Physics, Journal of Biological Chemistry and The Journal of Chemical Physics.

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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