Shibin Dai

604 total citations
20 papers, 410 citations indexed

About

Shibin Dai is a scholar working on Materials Chemistry, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Shibin Dai has authored 20 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 9 papers in Computational Mechanics and 9 papers in Computational Theory and Mathematics. Recurrent topics in Shibin Dai's work include Solidification and crystal growth phenomena (13 papers), Advanced Mathematical Modeling in Engineering (9 papers) and nanoparticles nucleation surface interactions (8 papers). Shibin Dai is often cited by papers focused on Solidification and crystal growth phenomena (13 papers), Advanced Mathematical Modeling in Engineering (9 papers) and nanoparticles nucleation surface interactions (8 papers). Shibin Dai collaborates with scholars based in United States, China and United Kingdom. Shibin Dai's co-authors include Qiang Du, Zhiming Chen, Keith Promislow, Zhiming Chen, Robert L. Pego, Barbara Niethammer, Bo Li and Steven M. Wise and has published in prestigious journals such as Journal of Computational Physics, SIAM Journal on Numerical Analysis and Archive for Rational Mechanics and Analysis.

In The Last Decade

Shibin Dai

19 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shibin Dai United States	11	239	219	123	82	58	20	410
Ľubomír Baňas Germany	12	113 0.5×	148 0.7×	138 1.1×	16 0.2×	55 0.9×	35	327
Zhen Guan China	8	260 1.1×	164 0.7×	109 0.9×	26 0.3×	42 0.7×	22	378
Lorenzo Giacomelli Italy	17	366 1.5×	542 2.5×	170 1.4×	20 0.2×	27 0.5×	41	783
Georgia Karali Greece	11	160 0.7×	69 0.3×	150 1.2×	29 0.4×	11 0.2×	33	307
Cheng Wang Cheng Wang China	11	190 0.8×	163 0.7×	76 0.6×	13 0.2×	27 0.5×	24	343
Yana Di China	13	63 0.3×	245 1.1×	30 0.2×	18 0.2×	42 0.7×	27	396
Carlos Zuppa Argentina	10	19 0.1×	136 0.6×	74 0.6×	22 0.3×	49 0.8×	22	334
Marco Cicalese Italy	13	128 0.5×	59 0.3×	256 2.1×	5 0.1×	6 0.1×	39	556
С. Ш. Рехвиашвили Russia	9	94 0.4×	20 0.1×	6 0.0×	58 0.7×	40 0.7×	74	336
James H. Adler United States	10	30 0.1×	234 1.1×	92 0.7×	4 0.0×	51 0.9×	38	339

Countries citing papers authored by Shibin Dai

Since Specialization

Citations

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

Fields of papers citing papers by Shibin Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shibin Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Shibin Dai. A scholar is included among the top collaborators of Shibin 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 Shibin Dai. Shibin Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Dai, Shibin, et al.. (2023). Gamma convergence for the de Gennes–Cahn–Hilliard energy. Communications in Mathematical Sciences. 21(8). 2131–2144.

Dai, Shibin, et al.. (2023). On the Cahn–Hilliard equation with no-flux and strong anchoring conditions. Nonlinear Differential Equations and Applications NoDEA. 30(4). 2 indexed citations

Dai, Shibin, et al.. (2021). On nonnegative solutions for the Functionalized Cahn–Hilliard equation with degenerate mobility. Results in Applied Mathematics. 12. 100195–100195. 3 indexed citations

Dai, Shibin, et al.. (2020). Minimizers for the Cahn--Hilliard Energy Functional under Strong Anchoring Conditions. SIAM Journal on Applied Mathematics. 80(5). 2299–2317. 3 indexed citations

Dai, Shibin & Keith Promislow. (2020). Codimension one minimizers of highly amphiphilic mixtures. Journal of Computational and Applied Mathematics. 388. 113320–113320. 1 indexed citations

Dai, Shibin, et al.. (2019). Weak solutions for the functionalized Cahn–Hilliard equation with degenerate mobility. Applicable Analysis. 100(1). 1–16. 9 indexed citations

Dai, Shibin & Qiang Du. (2016). Computational studies of coarsening rates for the Cahn–Hilliard equation with phase-dependent diffusion mobility. Journal of Computational Physics. 310. 85–108. 57 indexed citations

Dai, Shibin & Keith Promislow. (2015). Competitive Geometric Evolution of Amphiphilic Interfaces. SIAM Journal on Mathematical Analysis. 47(1). 347–380. 15 indexed citations

Dai, Shibin & Qiang Du. (2015). Weak Solutions for the Cahn–Hilliard Equation with Degenerate Mobility. Archive for Rational Mechanics and Analysis. 219(3). 1161–1184. 52 indexed citations

10.

Dai, Shibin & Qiang Du. (2014). Coarsening Mechanism for Systems Governed by the Cahn--Hilliard Equation with Degenerate Diffusion Mobility. Multiscale Modeling and Simulation. 12(4). 1870–1889. 30 indexed citations

11.

Dai, Shibin & Keith Promislow. (2013). Geometric evolution of bilayers under the functionalized Cahn–Hilliard equation. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 469(2153). 20120505–20120505. 34 indexed citations

12.

Dai, Shibin & Qiang Du. (2012). Motion of Interfaces Governed by the Cahn--Hilliard Equation with Highly Disparate Diffusion Mobility. SIAM Journal on Applied Mathematics. 72(6). 1818–1841. 33 indexed citations

13.

Dai, Shibin. (2011). On the Ostwald ripening of thin liquid films. Communications in Mathematical Sciences. 9(1). 143–160. 3 indexed citations

14.

Dai, Shibin, Barbara Niethammer, & Robert L. Pego. (2010). Crossover in coarsening rates for the monopole approximation of the Mullins–Sekerka model with kinetic drag. Proceedings of the Royal Society of Edinburgh Section A Mathematics. 140(3). 553–571. 12 indexed citations

15.

Dai, Shibin. (2010). On the Shortening Rate of Collections of Plane Convex Curves by the Area-Preserving Mean Curvature Flow. SIAM Journal on Mathematical Analysis. 42(1). 323–333. 8 indexed citations

16.

Dai, Shibin. (2010). On a mean field model for 1D thin film droplet coarsening. Nonlinearity. 23(2). 325–340. 5 indexed citations

17.

Dai, Shibin & Robert L. Pego. (2005). An upper bound on the coarsening rate for mushy zones in a phase-field model. Interfaces and Free Boundaries Mathematical Analysis Computation and Applications. 7(2). 187–197. 14 indexed citations

18.

Dai, Shibin & Robert L. Pego. (2005). Universal Bounds on Coarsening Rates for Mean-Field Models of Phase Transitions. SIAM Journal on Mathematical Analysis. 37(2). 347–371. 19 indexed citations

19.

Chen, Zhiming & Shibin Dai. (2002). On the Efficiency of Adaptive Finite Element Methods for Elliptic Problems with Discontinuous Coefficients. SIAM Journal on Scientific Computing. 24(2). 443–462. 68 indexed citations

20.

Chen, Zhiming & Shibin Dai. (2001). Adaptive Galerkin Methods with Error Control for a Dynamical Ginzburg--Landau Model in Superconductivity. SIAM Journal on Numerical Analysis. 38(6). 1961–1985. 42 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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