Binghui Guo

1.6k total citations
22 papers, 1.2k citations indexed

About

Binghui Guo is a scholar working on Mechanics of Materials, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Binghui Guo has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanics of Materials, 10 papers in Computational Mechanics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Binghui Guo's work include Advanced Numerical Methods in Computational Mathematics (10 papers), Numerical methods in engineering (10 papers) and Advanced Mathematical Modeling in Engineering (6 papers). Binghui Guo is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (10 papers), Numerical methods in engineering (10 papers) and Advanced Mathematical Modeling in Engineering (6 papers). Binghui Guo collaborates with scholars based in United States, China and Canada. Binghui Guo's co-authors include Ivo Babuška, I. Babuška, Ernst P. Stephan, John E. Osborn, B. Andersson, Hae‐Soo Oh, Jens Markus Melenk, Zhiming Zheng, Jiahui Li and Yuxiang Yao and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, BMC Bioinformatics and PLoS Computational Biology.

In The Last Decade

Binghui Guo

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binghui Guo United States 13 846 662 421 320 127 22 1.2k
Ronald H. W. Hoppe Germany 22 1.2k 1.5× 644 1.0× 675 1.6× 498 1.6× 236 1.9× 112 1.7k
Willy Dörfler Germany 17 1.2k 1.4× 569 0.9× 532 1.3× 506 1.6× 225 1.8× 58 1.5k
Gerhard Starke Germany 20 717 0.8× 413 0.6× 536 1.3× 152 0.5× 236 1.9× 56 1.1k
Pedro Morín Argentina 17 1.1k 1.3× 542 0.8× 623 1.5× 297 0.9× 230 1.8× 39 1.3k
Emmanuil H. Georgoulis United Kingdom 18 1.1k 1.3× 544 0.8× 432 1.0× 281 0.9× 247 1.9× 53 1.3k
Sören Bartels Germany 21 977 1.2× 469 0.7× 592 1.4× 241 0.8× 249 2.0× 83 1.5k
Ricardo G. Durán Argentina 20 835 1.0× 559 0.8× 554 1.3× 212 0.7× 172 1.4× 47 1.2k
Zi‐Cai Li Taiwan 19 724 0.9× 954 1.4× 230 0.5× 326 1.0× 309 2.4× 125 1.4k
Li-yeng Sung United States 22 1.3k 1.5× 809 1.2× 730 1.7× 339 1.1× 210 1.7× 65 1.5k
Francisco‐Javier Sayas Spain 22 785 0.9× 770 1.2× 376 0.9× 531 1.7× 162 1.3× 95 1.4k

Countries citing papers authored by Binghui Guo

Since Specialization
Citations

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

Fields of papers citing papers by Binghui Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binghui Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Binghui Guo. A scholar is included among the top collaborators of Binghui Guo 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 Binghui Guo. Binghui Guo 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.
Xiong, Xiang, et al.. (2024). Complexity Quantification of Driving Scenarios with Dynamic Evolution Characteristics. Entropy. 26(12). 1033–1033. 1 indexed citations
2.
Yuan, Yuan, et al.. (2024). Construction of geriatric hypoalbuminemia predicting model for hypoalbuminemia patients with and without pneumonia and explainability analysis. Frontiers in Medicine. 11. 1518222–1518222. 1 indexed citations
3.
Kong, Chao, Yuxiang Yao, Binghui Guo, et al.. (2020). Dynamical network analysis reveals key microRNAs in progressive stages of lung cancer. PLoS Computational Biology. 16(5). e1007793–e1007793. 3 indexed citations
4.
Guo, Binghui, et al.. (2020). LAMP: disease classification derived from layered assessment on modules and pathways in the human gene network. BMC Bioinformatics. 21(1). 487–487. 2 indexed citations
5.
Guo, Binghui, et al.. (2019). Disease classification via gene network integrating modules and pathways. Royal Society Open Science. 6(7). 190214–190214. 12 indexed citations
6.
Guo, Binghui, Yamin Zhang, & Junxia Gao. (2017). Multi-pulse current source for highly inductive load. 1–6. 1 indexed citations
7.
Guo, Binghui, et al.. (2008). An hp Adaptive Uniaxial Perfectly Matched Layer Method for Helmholtz Scattering Problems. 3 indexed citations
8.
Demkowicz, Leszek, Binghui Guo, John E. Osborn, & Michael Vogelius. (2007). Ivo Babuška – Mathematician and engineer. Computer Methods in Applied Mechanics and Engineering. 196(37-40). iii–v.
9.
Javed, Amjad, et al.. (1999). Structure-function determinants for subnuclear targeting nod transactivation in the Cbfa1/AML3 transcription factor.. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 2 indexed citations
10.
Babuška, Ivo, B. Andersson, Binghui Guo, Jens Markus Melenk, & Hae‐Soo Oh. (1996). Finite element method for solving problems with singular solutions. Journal of Computational and Applied Mathematics. 74(1-2). 51–70. 30 indexed citations
11.
Babuška, Ivo & Binghui Guo. (1996). Approximation properties of the h-p version of the finite element method. Computer Methods in Applied Mechanics and Engineering. 133(3-4). 319–346. 112 indexed citations
12.
Guo, Binghui & Ivo Babuška. (1993). On the Regularity of Elasticity Problems with Piecewise Analytic Data. Advances in Applied Mathematics. 14(3). 307–347. 26 indexed citations
13.
Babuška, Ivo & Binghui Guo. (1992). The h, p and h-p version of the finite element method; basis theory and applications. Advances in Engineering Software. 15(3-4). 159–174. 97 indexed citations
14.
Babuška, Ivo, Binghui Guo, & Ernst P. Stephan. (1990). On the exponential convergence of theh–pversion for boundary element Galerkin methods on polygons. Mathematical Methods in the Applied Sciences. 12(5). 413–427. 45 indexed citations
15.
16.
Babuška, Ivo & Binghui Guo. (1989). The h-p version of the finite element method for problems with nonhomogeneous essential boundary condition. Computer Methods in Applied Mechanics and Engineering. 74(1). 1–28. 29 indexed citations
17.
Babuška, Ivo & Binghui Guo. (1988). Regularity of the Solution of Elliptic Problems with Piecewise Analytic Data. Part I. Boundary Value Problems for Linear Elliptic Equation of Second Order. SIAM Journal on Mathematical Analysis. 19(1). 172–203. 129 indexed citations
18.
Babuška, Ivo & Binghui Guo. (1988). The $h{\text{ - }}p$ Version of the Finite Element Method for Domains with Curved Boundaries. SIAM Journal on Numerical Analysis. 25(4). 837–861. 135 indexed citations
19.
Guo, Binghui & I. Babuška. (1986). The h-p version of the finite element method. Computational Mechanics. 1(3). 203–220. 184 indexed citations
20.
Guo, Binghui & Ivo Babuška. (1986). The h-p version of the finite element method. Computational Mechanics. 1(1). 21–41. 262 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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