Guangzhong Liu

482 total citations
24 papers, 395 citations indexed

About

Guangzhong Liu is a scholar working on Molecular Biology, Computational Mechanics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Guangzhong Liu has authored 24 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Computational Mechanics and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Guangzhong Liu's work include Fluid Dynamics Simulations and Interactions (5 papers), Machine Learning in Bioinformatics (4 papers) and High-Velocity Impact and Material Behavior (4 papers). Guangzhong Liu is often cited by papers focused on Fluid Dynamics Simulations and Interactions (5 papers), Machine Learning in Bioinformatics (4 papers) and High-Velocity Impact and Material Behavior (4 papers). Guangzhong Liu collaborates with scholars based in China, United States and Australia. Guangzhong Liu's co-authors include Xiangwei Dong, Zengliang Li, W. Zeng, Eric Li, Guangyu Wang, Gang Wang, Z.C. He, Min Liu, Weimin Li and Yihui Zhu and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Life Sciences.

In The Last Decade

Guangzhong Liu

23 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangzhong Liu China 13 132 105 96 87 54 24 395
Ziru Li China 9 95 0.7× 140 1.3× 64 0.7× 9 0.1× 23 0.4× 25 303
Junlong Li China 13 114 0.9× 109 1.0× 99 1.0× 48 0.6× 70 1.3× 44 491
Qian Kong China 12 47 0.4× 33 0.3× 9 0.1× 50 0.6× 130 2.4× 41 461
Xiaofei Guan China 11 101 0.8× 242 2.3× 43 0.4× 111 1.3× 11 0.2× 50 602
Sijin Wu China 14 98 0.7× 96 0.9× 10 0.1× 56 0.6× 95 1.8× 57 654
Panpan Zhang China 13 18 0.1× 27 0.3× 89 0.9× 153 1.8× 23 0.4× 41 666
Duc Ngo United States 12 61 0.5× 111 1.1× 20 0.2× 51 0.6× 110 2.0× 19 406
Liangwen Wang China 10 43 0.3× 92 0.9× 9 0.1× 38 0.4× 94 1.7× 71 406
J. M. Bass United States 14 143 1.1× 179 1.7× 32 0.3× 83 1.0× 197 3.6× 30 575
Jiaqi Li China 10 32 0.2× 31 0.3× 20 0.2× 47 0.5× 27 0.5× 67 389

Countries citing papers authored by Guangzhong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Guangzhong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangzhong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Guangzhong Liu. A scholar is included among the top collaborators of Guangzhong Liu 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 Guangzhong Liu. Guangzhong Liu 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.
Liu, Min, et al.. (2023). ResCNNT-fold: Combining residual convolutional neural network and Transformer for protein fold recognition from language model embeddings. Computers in Biology and Medicine. 166. 107571–107571. 1 indexed citations
2.
Liu, Min, et al.. (2021). Structural protein fold recognition based on secondary structure and evolutionary information using machine learning algorithms. Computational Biology and Chemistry. 91. 107456–107456. 8 indexed citations
3.
4.
Yang, Wen, Xun Cao, Xin Zhang, et al.. (2021). Detection of circRNA Biomarker for Acute Myocardial Infarction Based on System Biological Analysis of RNA Expression. Frontiers in Genetics. 12. 686116–686116. 16 indexed citations
5.
Liu, Min, et al.. (2021). BERT-m7G: A Transformer Architecture Based on BERT and Stacking Ensemble to Identify RNA N7-Methylguanosine Sites from Sequence Information. Computational and Mathematical Methods in Medicine. 2021. 1–10. 22 indexed citations
6.
Liu, Guangzhong, et al.. (2020). Real-time prediction of projectile penetration to laminates by training machine learning models with finite element solver as the trainer. Defence Technology. 17(1). 147–160. 23 indexed citations
7.
Bai, Nan, Yanyan Wang, Yuanqi Wang, et al.. (2020). Tranilast prevents doxorubicin-induced myocardial hypertrophy and angiotensin II synthesis in rats. Life Sciences. 267. 118984–118984. 16 indexed citations
8.
Liu, Guangzhong, Jianqiang Li, Guangnan Li, et al.. (2019). Rotenone and 3-bromopyruvate toxicity impacts electrical and structural cardiac remodeling in rats. Toxicology Letters. 318. 57–64. 14 indexed citations
9.
Hou, Tingting, et al.. (2019). Qiliqiangxin attenuates atrial structural remodeling in prolonged pacing-induced atrial fibrillation in rabbits. Naunyn-Schmiedeberg s Archives of Pharmacology. 392(5). 585–592. 9 indexed citations
10.
Liu, Guangzhong, et al.. (2019). A local Lagrangian gradient smoothing method for fluids and fluid-like solids: A novel particle-like method. Engineering Analysis with Boundary Elements. 107. 96–114. 15 indexed citations
11.
Liu, Guangzhong, et al.. (2019). A particle-based free surface detection method and its application to the surface tension effects simulation in smoothed particle hydrodynamics (SPH). Journal of Computational Physics. 383. 196–206. 26 indexed citations
12.
Liu, Guangzhong, et al.. (2018). Artificial Bee Colony Algorithm with Global and Unbiased Search Strategy. 46(2). 308–314. 2 indexed citations
13.
Mo, Rong, et al.. (2017). Modeling of orthogonal cutting process of A2024-T351 with an improved SPH method. The International Journal of Advanced Manufacturing Technology. 95(1-4). 905–919. 23 indexed citations
14.
Wang, Xiaobing, Ruifeng Wang, Guangzhong Liu, et al.. (2016). The β3 Adrenergic Receptor Agonist BRL37344 Exacerbates Atrial Structural Remodeling Through iNOS Uncoupling in Canine Models of Atrial Fibrillation. Cellular Physiology and Biochemistry. 38(2). 514–530. 11 indexed citations
15.
Dong, Xiangwei, Guangzhong Liu, Zengliang Li, & W. Zeng. (2015). A smoothed particle hydrodynamics (SPH) model for simulating surface erosion by impacts of foreign particles. Tribology International. 95. 267–278. 70 indexed citations
16.
Li, Yunwei, et al.. (2013). A contact analysis approach based on linear complementarity formulation using smoothed finite element methods. Engineering Analysis with Boundary Elements. 37(10). 1244–1258. 16 indexed citations
17.
Li, Sheng, Kan Huang, Guangzhong Liu, et al.. (2012). Upregulation of ß3-Adrenergic Receptors Contributes to Atrial Structural Remodeling in Rapid Pacing Induced Atrial Fibrillation Canines. Cellular Physiology and Biochemistry. 30(2). 372–381. 11 indexed citations
18.
19.
Liu, Guangzhong, et al.. (2007). Discussion of One New Symmetric Algorithm.. 66(7). 403–405. 1 indexed citations
20.
Liu, Guangzhong. (2005). Distributed data model based on P2P. Jisuanji gongcheng yu sheji. 2 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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