Min Gui

34 papers receiving 609 citations

Min Gui's Hit Papers

Inter-shaft Bearing Fault Diagnosis Based on Aero-engine System: A Benchmarking Dataset Study 2023 · 104 citations
1040+1+2Years since publication255075100

Peers

Min Gui
Comparison fields: 5 of 111
  • Aquatic Science 49
  • Analytical Chemistry 53
  • Computational Mathematics 3
  • Biotechnology 39
  • Control and Systems Engineering 98
Replace Hailan Li with:
Hailan Li China
Juan Shen China
He Wen China
Bernt Nilsson Sweden
Ruoqi Zhang China
He Sun China
Lars J. Kangas United States
Vaisali Chandrasekar Qatar
Zichen Yang China
Min Gui relative to Hailan Li China Hailan Li's profile →
Citations per field
00.5×10×15×20×24.5×
Hailan Li · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Min Gui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Min Gui Line = papers co-authored together Min Gui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inter-shaft Bearing Fault Diagnosis Based on Aero-engine System: A Benchmarking Dataset Study
Hit paper breakdown →
2023104
2 201757
3 200741
4 199540
5 201938
6 202237
7 200932
8 200931
9 201029
10 201725
11 199423
12 202221
13 201116
14 200615
15 201412
16 202111
17 201711
18 200910
19 20238
20 20178

About Min Gui

Min Gui is a scholar working on Molecular Biology, Artificial Intelligence, Spectroscopy, Aquatic Science and Cell Biology, having authored 35 papers that have together received 622 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Seaweed-derived Bioactive Compounds (4 papers), Echinoderm biology and ecology (3 papers), Analytical Chemistry and Chromatography (3 papers), Marine Sponges and Natural Products (3 papers), melanin and skin pigmentation (2 papers) and Orbital Angular Momentum in Optics (2 papers). The work is most often cited by research in Aquatic Science (49 citations), Analytical Chemistry (53 citations), Computational Mathematics (3 citations), Biotechnology (39 citations) and Control and Systems Engineering (98 citations). Min Gui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Sarah C. Rutan, Yuhong Jin, Lei Hou, Yushu Chen, Juntao Kan, Dengfeng Kuang, Jun Du, Peng Sun, Xiaoliang Zhang and Molly M. Hood. Their work appears in journals such as Analytical Chemistry, Journal of Traditional and Complementary Medicine, Frontiers in Microbiology, Cancer Biology & Therapy and International Journal of Fatigue.

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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