Guojie Liu

767 total citations
39 papers, 582 citations indexed

About

Guojie Liu is a scholar working on Molecular Biology, Mechanical Engineering and Plant Science. According to data from OpenAlex, Guojie Liu has authored 39 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Mechanical Engineering and 6 papers in Plant Science. Recurrent topics in Guojie Liu's work include Additive Manufacturing Materials and Processes (4 papers), Paraquat toxicity studies and treatments (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Guojie Liu is often cited by papers focused on Additive Manufacturing Materials and Processes (4 papers), Paraquat toxicity studies and treatments (4 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Guojie Liu collaborates with scholars based in China, Australia and Malaysia. Guojie Liu's co-authors include Zhongwen Huang, Chang‐Qing Duan, Mingxia Zhang, Lina Gao, Yilin You, Jielong Guo, Xue Han, Jicheng Zhan, Weidong Huang and Jingjing Chen and has published in prestigious journals such as Nano Letters, Scientific Reports and Food Chemistry.

In The Last Decade

Guojie Liu

34 papers receiving 570 citations

Peers

Guojie Liu
Comparison fields: 5 of 108
  • Molecular Biology 139
  • Biochemistry 139
  • Plant Science 120
  • Biomedical Engineering 88
  • Food Science 81
Replace Amrita Mishra with:
Amrita Mishra India
Sonia Iurian Romania
S. B. Joshi India
A. G. Gopalakrishna India
Cătălina Bogdan Romania
Ivan Pires de Oliveira Brazil
Murat Türkoğlu Türkiye
Changmo Li China
Fenghong Huang China
Cristina Elena Dinu‐Pîrvu Romania
Amrita Mishra India View profile →
Citations per field, relative to Guojie Liu
Guojie Liu · 1×
Citations per year, relative to Guojie Liu
Guojie Liu · 1×

Countries citing papers authored by Guojie Liu

Since Specialization
Citations

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

Fields of papers citing papers by Guojie Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guojie Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Guojie Liu. A scholar is included among the top collaborators of Guojie 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 Guojie Liu. Guojie 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
# Work Indexed citations
1 8
2 0
3 0
4 5
5 0
6 13
7 8
8 10
9 5
10 7
11 22
12 22
13 11
14 33
15 5
16 65
17 0
18 54
19 38
20
[Kinetic model for extraction process of Chinese traditional medicine].
2

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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