Liang Ge

587 total citations
47 papers, 404 citations indexed

About

Liang Ge is a scholar working on Computational Mechanics, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Liang Ge has authored 47 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computational Mechanics, 13 papers in Artificial Intelligence and 11 papers in Computational Theory and Mathematics. Recurrent topics in Liang Ge's work include Advanced Numerical Methods in Computational Mathematics (15 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Probabilistic and Robust Engineering Design (8 papers). Liang Ge is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (15 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Probabilistic and Robust Engineering Design (8 papers). Liang Ge collaborates with scholars based in China, United States and United Kingdom. Liang Ge's co-authors include Aidong Zhang, Jing Gao, Hung Q. Ngo, Kang Li, Jing Gao, Danping Yang, Kwok Fai Cheung, Wenbin Liu, Tongjun Sun and Shuang Wu and has published in prestigious journals such as ISPRS Journal of Photogrammetry and Remote Sensing, PROTEOMICS and Journal of Hydraulic Engineering.

In The Last Decade

Liang Ge

42 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liang Ge China	12	153	89	78	42	36	47	404
Edmondo Minisci United Kingdom	16	146 1.0×	78 0.9×	155 2.0×	40 1.0×	31 0.9×	90	756
Leonid G. Khachiyan United States	8	104 0.7×	63 0.7×	203 2.6×	42 1.0×	104 2.9×	8	506
Johannes Schmidt-Hieber Netherlands	8	211 1.4×	28 0.3×	22 0.3×	81 1.9×	18 0.5×	22	535
Xiao Sun China	14	85 0.6×	42 0.5×	81 1.0×	63 1.5×	35 1.0×	41	580
Gao Gao China	12	290 1.9×	17 0.2×	57 0.7×	56 1.3×	117 3.3×	171	845
Joerg Gablonsky United States	9	132 0.9×	41 0.5×	205 2.6×	21 0.5×	22 0.6×	13	502
S. Sundararajan India	6	569 3.7×	137 1.5×	53 0.7×	385 9.2×	39 1.1×	17	851
Ji-Nan Lin Germany	13	103 0.7×	90 1.0×	35 0.4×	112 2.7×	19 0.5×	42	507
J.L. Maryak United States	11	134 0.9×	21 0.2×	63 0.8×	29 0.7×	36 1.0×	24	350

Countries citing papers authored by Liang Ge

Since Specialization

Citations

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

Fields of papers citing papers by Liang Ge

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Ge

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Mao, Yiming, et al.. (2025). The photometric system of the UCAS 70 cm Telescope. 2(3). 198–209.

Tang, Shengjun, Xianwei Zheng, Zhen Dong, et al.. (2025). Cross-modal 2D-3D feature matching: simultaneous local feature description and detection across images and point clouds. ISPRS Journal of Photogrammetry and Remote Sensing. 229. 155–169.

Ge, Liang, et al.. (2023). Two-Grid Finite Volume Element Methods for Solving Cahn–Hilliard Equation. Bulletin of the Iranian Mathematical Society.. 49(3).

Ge, Liang & Tongjun Sun. (2022). An adaptive hp-version stochastic Galerkin method for constrained optimal control problem governed by random reaction diffusion equations. Computational and Applied Mathematics. 41(3). 3 indexed citations

Ge, Liang, et al.. (2021). Dynamic Margin for Federated Learning with Imbalanced Data. 1–8. 5 indexed citations

Ge, Liang, et al.. (2021). Convergence Analysis and Error Estimate for Distributed Optimal Control Problems Governed by Stokes Equations with Velocity-Constraint. Advances in Applied Mathematics and Mechanics. 14(1). 33–55. 13 indexed citations

Ge, Liang, et al.. (2021). An Improved Particle Swarm Optimization algorithm for Optimal Control of ASP Flooding. Journal of Physics Conference Series. 2076(1). 12007–12007. 1 indexed citations

Ge, Liang, et al.. (2020). Meshfree Finite Volume Element Method for Constrained Optimal Control Problem Governed by Random Convection Diffusion Equations. 36(2). 229–246. 5 indexed citations

Li, Weiping, et al.. (2020). A CNN-based temperature prediction approach for grain storage. 7(4). 345–345. 1 indexed citations

10.

Ge, Liang & Tongjun Sun. (2019). A Sparse Grid Stochastic Collocation Discontinuous Galerkin Method for Constrained Optimal Control Problem Governed by Random Convection Dominated Diffusion Equations. Numerical Functional Analysis and Optimization. 40(7). 763–797. 3 indexed citations

11.

Ge, Liang, et al.. (2018). A Sparse Grid Stochastic Collocation and Finite Volume Element Method for Constrained Optimal Control Problem Governed by Random Elliptic Equations. Journal of Computational Mathematics. 36(2). 310–330. 1 indexed citations

12.

Ge, Liang, et al.. (2018). Heterogeneous Multiscale Method for Optimal Control Problem Governed by Elliptic Equations with Highly Oscillatory Coefficients. Journal of Computational Mathematics. 36(5). 644–660. 4 indexed citations

13.

Shen, Wanfang, Liang Ge, & Wenbin Liu. (2018). Stochastic Galerkin Method for Optimal Control Problem Governed by Random Elliptic PDE with State Constraints. Journal of Scientific Computing. 78(3). 1571–1600. 2 indexed citations

14.

Ge, Liang, et al.. (2017). Heterogeneous multiscale method for optimal control problem governed by parabolic equation with highly oscillatory coefficients. Journal of Computational and Applied Mathematics. 328. 116–131. 4 indexed citations

15.

Ge, Liang, et al.. (2016). A Method for Cracking the Password of WPA2-PSK Based on SA and HMM. 59–62. 4 indexed citations

16.

Ding, Baocang, Liang Ge, Hongguang Pan, & Peng Wang. (2015). Distributed MPC for Tracking and Formation of Homogeneous Multi‐agent System with Time‐Varying Communication Topology. Asian Journal of Control. 18(3). 1030–1041. 23 indexed citations

17.

Sun, Tongjun, et al.. (2015). EQUIVALENT A POSTERIORI ERROR ESTIMATES FOR A CONSTRAINED OPTIMAL CONTROL PROBLEM GOVERNED BY PARABOLIC EQUATIONS. 7 indexed citations

18.

Shen, Wanfang, Liang Ge, Danping Yang, & Wenbin Liu. (2014). Sharp A Posteriori Error Estimates for Optimal Control Governed by Parabolic Integro-Differential Equations. Journal of Scientific Computing. 65(1). 1–33. 14 indexed citations

19.

Lei, Xiujuan, Shuang Wu, Liang Ge, & Aidong Zhang. (2012). Clustering and overlapping modules detection in PPI network based on IBFO. PROTEOMICS. 13(2). 278–290. 23 indexed citations

20.

Luo, Junzhou, et al.. (2006). A Trust Model for SEUGrid: a Grid Platform for Monte Carlo Simulation. 214 225. 1–6. 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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