Guiqin Liu

1.7k total citations
51 papers, 1.4k citations indexed

About

Guiqin Liu is a scholar working on Mechanics of Materials, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Guiqin Liu has authored 51 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanics of Materials, 16 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Guiqin Liu's work include Numerical methods in engineering (19 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Advanced Numerical Methods in Computational Mathematics (10 papers). Guiqin Liu is often cited by papers focused on Numerical methods in engineering (19 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Advanced Numerical Methods in Computational Mathematics (10 papers). Guiqin Liu collaborates with scholars based in China, United States and Singapore. Guiqin Liu's co-authors include Z.C. He, H. Nguyen‐Xuan, Eric Li, G. Y. Li, Yuantong Gu, Guangyu Wu, Aiguo Cheng, Jun Chen, Xianran Xing and G.Y. Zhang and has published in prestigious journals such as Applied Physics Letters, Scientific Reports and Journal of Computational Physics.

In The Last Decade

Guiqin Liu

49 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guiqin Liu China 20 740 434 256 243 218 51 1.4k
Daniel Millán Spain 18 802 1.1× 453 1.0× 229 0.9× 41 0.2× 50 0.2× 26 1.7k
Kunal Mitra United States 23 800 1.1× 677 1.6× 252 1.0× 693 2.9× 76 0.3× 90 2.1k
C.V. Massalas Greece 18 449 0.6× 216 0.5× 303 1.2× 54 0.2× 43 0.2× 89 1.1k
Abhinav Singhal India 21 758 1.0× 55 0.1× 118 0.5× 58 0.2× 91 0.4× 86 1.2k
E. H. van Brummelen Netherlands 26 472 0.6× 1.5k 3.4× 92 0.4× 66 0.3× 153 0.7× 96 2.0k
Ludovic Noels Belgium 32 1.7k 2.3× 558 1.3× 587 2.3× 27 0.1× 124 0.6× 127 3.0k
Ean Hin Ooi Malaysia 16 187 0.3× 147 0.3× 41 0.2× 167 0.7× 107 0.5× 74 896
Grigory Panasenko France 19 1.2k 1.7× 827 1.9× 118 0.5× 15 0.1× 91 0.4× 116 2.1k
Jean‐Paul Pelteret Germany 16 234 0.3× 344 0.8× 207 0.8× 25 0.1× 103 0.5× 24 991
Ewa Majchrzak Poland 21 759 1.0× 341 0.8× 56 0.2× 196 0.8× 27 0.1× 168 1.5k

Countries citing papers authored by Guiqin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Guiqin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guiqin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Guiqin Liu. A scholar is included among the top collaborators of Guiqin 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 Guiqin Liu. Guiqin 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.
Zhang, Xiao, Yuning Gu, Guiqin Liu, et al.. (2024). NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images. Proceedings of the AAAI Conference on Artificial Intelligence. 38(5). 4198–4206. 1 indexed citations
2.
Zhang, Jing, Yilin Wang, Rong Ding, et al.. (2024). Pneumonia detection based on RSNA dataset and anchor-free deep learning detector. Scientific Reports. 14(1). 1929–1929. 9 indexed citations
3.
Liu, Guiqin, et al.. (2023). A novel node-to-segment algorithm in smoothed finite element method for contact problems. Computational Mechanics. 72(5). 1029–1057. 12 indexed citations
4.
Liu, Guiqin, Rui Zhao, Zhou Huang, et al.. (2023). The added value of AI-based computer-aided diagnosis in classification of cancer at prostate MRI. European Radiology. 33(7). 5118–5130. 12 indexed citations
5.
6.
Liu, Guiqin. (2020). A Neural Element Method. International Journal of Computational Methods. 17(7). 2050021–2050021. 8 indexed citations
7.
Yang, Yongfei, Zhongliang Jiang, Yuanyuan Yang, et al.. (2019). Safety Control Method of Robot-Assisted Cataract Surgery with Virtual Fixture and Virtual Force Feedback. Journal of Intelligent & Robotic Systems. 97(1). 17–32. 13 indexed citations
8.
Xu, Shuaishuai, Qiuying Yao, Guiqin Liu, et al.. (2019). Combining DWI radiomics features with transurethral resection promotes the differentiation between muscle-invasive bladder cancer and non-muscle-invasive bladder cancer. European Radiology. 30(3). 1804–1812. 44 indexed citations
9.
Jones, Donna C., et al.. (2018). Automated Segmentation of Swine Skulls for Finite Element Model Creation Using High Resolution μ-CT Images. International Journal of Computational Methods. 16(3). 1842012–1842012. 2 indexed citations
10.
11.
Li, Zhicheng, Guangtao Zhai, Jinheng Zhang, et al.. (2018). Differentiation of clear cell and non-clear cell renal cell carcinomas by all-relevant radiomics features from multiphase CT: a VHL mutation perspective. European Radiology. 29(8). 3996–4007. 71 indexed citations
12.
Wu, Guangyu, Guiqin Liu, Wen Kong, et al.. (2017). Assessment of response to anti-angiogenic targeted therapy in pulmonary metastatic renal cell carcinoma: R2* value as a predictive biomarker. European Radiology. 27(9). 3574–3582. 5 indexed citations
13.
Li, Eric, Z.C. He, Zhongpu Zhang, Guiqin Liu, & Qing Li. (2016). Stability analysis of generalized mass formulation in dynamic heat transfer. Numerical Heat Transfer Part B Fundamentals. 69(4). 287–311. 12 indexed citations
14.
Liu, Guiqin, et al.. (2016). A Review on Recent Development of Finite Element Models for Head Injury Simulations. Archives of Computational Methods in Engineering. 24(4). 979–1031. 35 indexed citations
15.
Chen, Meng, Ming Li, & Guiqin Liu. (2016). Mathematical Basis of G Spaces. International Journal of Computational Methods. 13(4). 1641007–1641007. 21 indexed citations
16.
Wu, Fei, Guiqin Liu, G. Y. Li, Aiguo Cheng, & Z.C. He. (2014). A new hybrid smoothed FEM for static and free vibration analyses of Reissner–Mindlin Plates. Computational Mechanics. 54(3). 865–890. 30 indexed citations
17.
Nguyen‐Xuan, H. & Guiqin Liu. (2013). An edge-based smoothed finite element method softened with a bubble function (bES-FEM) for solid mechanics problems. Computers & Structures. 128. 14–30. 63 indexed citations
18.
Cui, Xin, Guiqin Liu, G. Y. Li, & Gang Zheng. (2008). A rotation free formulation for static and free vibration analysis of thin beams using gradient smoothing technique. Computer Modeling in Engineering & Sciences. 38(3). 217–230. 15 indexed citations
19.
Zheng, Wenbin, et al.. (2007). Prediction of recovery from a post-traumatic coma state by diffusion-weighted imaging (DWI) in patients with diffuse axonal injury. Neuroradiology. 49(3). 271–279. 25 indexed citations
20.
Gu, Yuantong & Guiqin Liu. (2005). Meshless techniques for convection dominated problems. Computational Mechanics. 38(2). 171–182. 76 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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