Hai Bi

511 total citations
42 papers, 335 citations indexed

About

Hai Bi is a scholar working on Computational Mechanics, Mechanics of Materials and Computational Theory and Mathematics. According to data from OpenAlex, Hai Bi has authored 42 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computational Mechanics, 22 papers in Mechanics of Materials and 20 papers in Computational Theory and Mathematics. Recurrent topics in Hai Bi's work include Advanced Numerical Methods in Computational Mathematics (35 papers), Numerical methods in engineering (21 papers) and Advanced Mathematical Modeling in Engineering (15 papers). Hai Bi is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (35 papers), Numerical methods in engineering (21 papers) and Advanced Mathematical Modeling in Engineering (15 papers). Hai Bi collaborates with scholars based in China. Hai Bi's co-authors include Yidu Yang, Hao Li, Yu Zhang, Wei Jiang, Yu Zhang, Wenjun Wang, Li Qin, Qun Lin, Hao Li and Yuanyuan Yu and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, SIAM Journal on Numerical Analysis and Applied Mathematics and Computation.

In The Last Decade

Hai Bi

35 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hai Bi China	11	259	188	123	104	89	42	335
Ana Alonso Argentina	10	391 1.5×	248 1.3×	155 1.3×	229 2.2×	64 0.7×	17	447
Ahmed Naga United States	6	383 1.5×	216 1.1×	123 1.0×	152 1.5×	23 0.3×	9	419
Dietmar Gallistl Germany	12	316 1.2×	201 1.1×	186 1.5×	92 0.9×	36 0.4×	40	359
Yidu Yang China	15	513 2.0×	338 1.8×	261 2.1×	204 2.0×	151 1.7×	77	612
Matthias Maischak Germany	13	282 1.1×	343 1.8×	164 1.3×	161 1.5×	31 0.3×	37	420
Serge Nicaise France	10	260 1.0×	166 0.9×	155 1.3×	77 0.7×	41 0.5×	27	326
Sven Beuchler Germany	8	210 0.8×	146 0.8×	117 1.0×	68 0.7×	14 0.2×	35	281
Günther Of Austria	13	191 0.7×	208 1.1×	91 0.7×	171 1.6×	21 0.2×	31	366
Clemens Pechstein Austria	12	413 1.6×	232 1.2×	285 2.3×	116 1.1×	18 0.2×	23	486
Paolo Fernandes Italy	5	204 0.8×	138 0.7×	95 0.8×	198 1.9×	38 0.4×	9	319

Countries citing papers authored by Hai Bi

Since Specialization

Citations

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

Fields of papers citing papers by Hai Bi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Bi

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Bi. A scholar is included among the top collaborators of Hai Bi 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 Hai Bi. Hai Bi 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

Wang, Shixi, et al.. (2024). The a posteriori error estimates of the Ciarlet-Raviart mixed finite element method for the biharmonic eigenvalue problem. AIMS Mathematics. 9(2). 3332–3348.

Li, Yanjun & Hai Bi. (2023). A locking-free discontinuous Galerkin method for linear elastic Steklov eigenvalue problem. Applied Numerical Mathematics. 188. 21–41. 1 indexed citations

Wang, Shixi, et al.. (2023). An hp-mixed discontinuous Galerkin method for the biharmonic eigenvalue problem. Applied Mathematics and Computation. 450. 127969–127969. 1 indexed citations

Bi, Hai, et al.. (2023). A multigrid discretization scheme of discontinuous Galerkin method for the Steklov-Lamé eigenproblem. AIMS Mathematics. 8(6). 14207–14231.

Wang, Shixi, Hai Bi, & Yidu Yang. (2023). The Mixed Discontinuous Galerkin Method for Transmission Eigenvalues for Anisotropic Medium. Journal of Scientific Computing. 96(1).

Wang, Shixi, Hai Bi, & Yidu Yang. (2023). The a posteriori error estimates and an adaptive algorithm of the FEM for transmission eigenvalues for anisotropic media. Computers & Mathematics with Applications. 150. 156–169. 1 indexed citations

Bi, Hai, et al.. (2022). The discontinuous Galerkin and the nonconforming ECR element approximations for an MHD Stokes eigenvalue problem. Mathematical Methods in the Applied Sciences. 46(5). 6154–6176.

Wang, Shijie, Yidu Yang, & Hai Bi. (2018). Multiscale finite element discretizations based on local defect correction for the biharmonic eigenvalue problem of plate buckling. Mathematical Methods in the Applied Sciences. 42(3). 999–1017. 2 indexed citations

Yang, Yidu, et al.. (2018). Local and parallel finite element method for solving the biharmonic eigenvalue problem of plate vibration. Numerical Methods for Partial Differential Equations. 35(2). 851–869. 4 indexed citations

10.

Zhang, Yu, Hai Bi, & Yidu Yang. (2018). The two-grid discretization of Ciarlet–Raviart mixed method for biharmonic eigenvalue problems. Applied Numerical Mathematics. 138. 94–113. 3 indexed citations

11.

Yang, Yidu, et al.. (2017). A C0IPG method and its error estimates for the Helmholtz transmission eigenvalue problem. Journal of Computational and Applied Mathematics. 326. 71–86. 15 indexed citations

12.

Yang, Yidu, et al.. (2016). Mixed Methods for the Helmholtz Transmission Eigenvalues. SIAM Journal on Scientific Computing. 38(3). A1383–A1403. 42 indexed citations

13.

Yang, Yidu, Hao Li, & Hai Bi. (2016). The lower bound property of the Morley element eigenvalues. Computers & Mathematics with Applications. 72(4). 904–920. 4 indexed citations

14.

Yang, Yidu, et al.. (2016). Non-conforming finite element methods for transmission eigenvalue problem. Computer Methods in Applied Mechanics and Engineering. 307. 144–163. 21 indexed citations

15.

Bi, Hai, et al.. (2015). Local and parallel finite element algorithms for the Steklov eigenvalue problem. Numerical Methods for Partial Differential Equations. 32(2). 399–417. 5 indexed citations

16.

Bi, Hai, et al.. (2015). A Multilevel Correction Method for Convection-Diffusion Eigenvalue Problems. Mathematical Problems in Engineering. 2015. 1–10. 5 indexed citations

17.

Yang, Yidu, et al.. (2015). The Shifted-Inverse Iteration Based on the Multigrid Discretizations for Eigenvalue Problems. SIAM Journal on Scientific Computing. 37(6). A2583–A2606. 13 indexed citations

18.

Bi, Hai, et al.. (2013). The Corrosion Acoustic Emission Source Location Technique and its New Trend. Advanced materials research. 694-697. 1167–1172. 3 indexed citations

19.

Bi, Hai, et al.. (2013). Research on the CO<sub>2</sub> Corrosion Inhibitor Technology in Oil and Gas Fields. Advanced materials research. 734-737. 1240–1245. 3 indexed citations

20.

Bi, Hai, et al.. (2011). A New Method of Checking Anti-Floating Stability of Buried Horizontal Tank. Advanced materials research. 402. 780–783. 1 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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