Guilong Gui

2.1k total citations
40 papers, 1.4k citations indexed

About

Guilong Gui is a scholar working on Mathematical Physics, Applied Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Guilong Gui has authored 40 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Mathematical Physics, 21 papers in Applied Mathematics and 20 papers in Statistical and Nonlinear Physics. Recurrent topics in Guilong Gui's work include Advanced Mathematical Physics Problems (33 papers), Navier-Stokes equation solutions (20 papers) and Nonlinear Waves and Solitons (20 papers). Guilong Gui is often cited by papers focused on Advanced Mathematical Physics Problems (33 papers), Navier-Stokes equation solutions (20 papers) and Nonlinear Waves and Solitons (20 papers). Guilong Gui collaborates with scholars based in China, United States and Tunisia. Guilong Gui's co-authors include Yue Liu, Hammadi Abidi, Lixin Tian, Changzheng Qu, Peter J. Olver, Ping Zhang, Ping Zhang, Ping Zhang, Yue Liu and Ying Fu and has published in prestigious journals such as Communications in Mathematical Physics, Communications on Pure and Applied Mathematics and Journal of Mathematical Analysis and Applications.

In The Last Decade

Guilong Gui

38 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guilong Gui China 20 952 904 518 327 215 40 1.4k
Luc Molinet France 27 1.8k 1.9× 1.8k 2.0× 849 1.6× 325 1.0× 94 0.4× 65 2.3k
Yi A. Li United States 7 626 0.7× 462 0.5× 130 0.3× 182 0.6× 27 0.1× 8 727
Jean-Marc Delort France 17 492 0.5× 775 0.9× 408 0.8× 24 0.1× 200 0.9× 46 1.1k
Robin Ming Chen United States 14 392 0.4× 286 0.3× 118 0.2× 134 0.4× 54 0.3× 41 521
Peter Topalov United States 14 507 0.5× 492 0.5× 387 0.7× 255 0.8× 21 0.1× 71 845
Robert L. Sachs United States 11 536 0.6× 444 0.5× 157 0.3× 49 0.1× 25 0.1× 19 683
Manwai Yuen Hong Kong 16 221 0.2× 196 0.2× 376 0.7× 52 0.2× 272 1.3× 78 637
Ralph Saxton United States 8 400 0.4× 205 0.2× 107 0.2× 140 0.4× 28 0.1× 18 513
Pavel I. Naumkin Mexico 18 774 0.8× 1.5k 1.6× 561 1.1× 12 0.0× 44 0.2× 182 1.6k
Taoufik Hmidi France 17 66 0.1× 736 0.8× 947 1.8× 42 0.1× 361 1.7× 46 1.0k

Countries citing papers authored by Guilong Gui

Since Specialization
Citations

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

Fields of papers citing papers by Guilong Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilong Gui

This figure shows the co-authorship network connecting the top 25 collaborators of Guilong Gui. A scholar is included among the top collaborators of Guilong Gui 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 Guilong Gui. Guilong Gui 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.
Gui, Guilong & Tong Boon Tang. (2025). Energy conservation for compressible fluid systems with Korteweg stress tensors. Journal of Differential Equations. 428. 330–347.
2.
Abidi, Hammadi, et al.. (2024). Low regularity global well-posedness of axisymmetric MHD equations with vertical dissipation and magnetic diffusion. Journal of Differential Equations. 409. 635–663.
3.
Abidi, Hammadi, Guilong Gui, & Ping Zhang. (2024). On the global existence and uniqueness of solution to 2-D inhomogeneous incompressible Navier-Stokes equations in critical spaces. Journal of Differential Equations. 406. 126–173. 2 indexed citations
4.
Gui, Guilong & Ping Zhang. (2022). Semiclassical Limit of Gross--Pitaevskii Equation with Dirichlet Boundary Condition. SIAM Journal on Mathematical Analysis. 54(1). 1053–1104. 1 indexed citations
5.
Abidi, Hammadi & Guilong Gui. (2021). Global Well-Posedness for the 2-D Inhomogeneous Incompressible Navier-Stokes System with Large Initial Data in Critical Spaces. Archive for Rational Mechanics and Analysis. 242(3). 1533–1570. 12 indexed citations
7.
Chen, Robin Ming, Guilong Gui, & Yue Liu. (2018). On a shallow-water approximation to the Green–Naghdi equations with the Coriolis effect. Advances in Mathematics. 340. 106–137. 33 indexed citations
8.
Gui, Guilong, et al.. (2018). Model Equations and Traveling Wave Solutions for Shallow-Water Waves with the Coriolis Effect. Journal of Nonlinear Science. 29(3). 993–1039. 46 indexed citations
9.
Bian, Dongfen & Guilong Gui. (2016). On 2-D Boussinesq equations for MHD convection with stratification effects. Journal of Differential Equations. 261(3). 1669–1711. 31 indexed citations
10.
Gui, Guilong. (2014). Global well-posedness of the two-dimensional incompressible magnetohydrodynamics system with variable density and electrical conductivity. Journal of Functional Analysis. 267(5). 1488–1539. 40 indexed citations
11.
Fu, Ying, Guilong Gui, Yue Liu, & Changzheng Qu. (2013). On the Cauchy problem for the integrable modified Camassa–Holm equation with cubic nonlinearity. Journal of Differential Equations. 255(7). 1905–1938. 76 indexed citations
12.
Abidi, Hammadi, Guilong Gui, & Ping Zhang. (2012). Well-posedness of 3-D inhomogeneous Navier–Stokes equations with highly oscillatory initial velocity field. Journal de Mathématiques Pures et Appliquées. 100(2). 166–203. 41 indexed citations
13.
Gui, Guilong, Yue Liu, Peter J. Olver, & Changzheng Qu. (2012). Wave-Breaking and Peakons for a Modified Camassa–Holm Equation. Communications in Mathematical Physics. 319(3). 731–759. 177 indexed citations
14.
Gui, Guilong, et al.. (2011). Large global solutions to 3-D inhomogeneous Navier–Stokes equations slowly varying in one variable. Journal of Functional Analysis. 261(11). 3181–3210. 20 indexed citations
15.
Gui, Guilong & Yue Liu. (2011). On the Cauchy problem for the Degasperis-Procesi equation. Quarterly of Applied Mathematics. 69(3). 445–464. 26 indexed citations
16.
Gui, Guilong & Yue Liu. (2010). On the global existence and wave-breaking criteria for the two-component Camassa–Holm system. Journal of Functional Analysis. 258(12). 4251–4278. 189 indexed citations
17.
Gui, Guilong & Ping Zhang. (2010). Stability to the global large solutions of 3-D Navier–Stokes equations. Advances in Mathematics. 225(3). 1248–1284. 32 indexed citations
18.
Gui, Guilong, et al.. (2009). Global well-posedness for the Cauchy problem of the viscous Degasperis–Procesi equation. Journal of Mathematical Analysis and Applications. 361(2). 457–465. 4 indexed citations
19.
Gui, Guilong & Yue Liu. (2009). On the Cauchy problem for the two-component Camassa–Holm system. Mathematische Zeitschrift. 268(1-2). 45–66. 115 indexed citations
20.
Tian, Lixin, Guilong Gui, & Boling Guo. (2007). The limit behavior of the solutions to a class of nonlinear dispersive wave equations. Journal of Mathematical Analysis and Applications. 341(2). 1311–1333. 9 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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