Min Gui

859 total citations · 1 hit paper
35 papers, 604 citations indexed

About

Min Gui is a scholar working on Molecular Biology, Artificial Intelligence and Spectroscopy. According to data from OpenAlex, Min Gui has authored 35 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Artificial Intelligence and 5 papers in Spectroscopy. Recurrent topics in Min Gui's work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Seaweed-derived Bioactive Compounds (4 papers). Min Gui is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Seaweed-derived Bioactive Compounds (4 papers). Min Gui collaborates with scholars based in China, United States and Australia. Min Gui's co-authors include Sarah C. Rutan, Dengfeng Kuang, Yuhong Jin, Lei Hou, Yushu Chen, Juntao Kan, Jun Du, Jun Chen, Peng Sun and Xiaoliang Zhang and has published in prestigious journals such as Analytical Chemistry, International Journal of Cancer and Frontiers in Microbiology.

In The Last Decade

Min Gui

34 papers receiving 588 citations

Hit Papers

Inter-shaft Bearing Fault Diagnosis Based on Aero-engine ... 2023 2026 2024 2025 2023 25 50 75

Peers

Min Gui
Comparison fields: 5 of 111
  • Molecular Biology 111
  • Control and Systems Engineering 92
  • Artificial Intelligence 86
  • Mechanical Engineering 73
  • Mechanics of Materials 72
Replace Maurício B. de Souza with:
Maurício B. de Souza Brazil
He Wen China
Jiaheng Li China
Xiaojing Chen China
Weiwei Hu United States
Zezhi Shao United States
Weiwei Hu China
Lars J. Kangas United States
Ruoqi Zhang China
Maurício B. de Souza Brazil View profile →
Citations per field, relative to Min Gui
Min Gui · 1×
Citations per year, relative to Min Gui
Min Gui · 1×

Countries citing papers authored by Min Gui

Since Specialization
Citations

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

Fields of papers citing papers by Min Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Gui

This figure shows the co-authorship network connecting the top 25 collaborators of Min Gui. A scholar is included among the top collaborators of Min 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 Min Gui. Min 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
# Work Indexed citations
1 7
2
Inter-shaft Bearing Fault Diagnosis Based on Aero-engine System: A Benchmarking Dataset Study breakdown →
98
3 18
4 4
5 34
6 6
7 1
8 4
9 25
10 11
11 16
12 29
13 32
14 10
15 7
16 41
17
17-Dehydroxyholothurin A, a New Sulfated Triterpene Glycoside from Sea Cucumber Holothuria impatiens
2
18 15
19 41
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026