Min Fu

514 citations
41 papers · 309 · h-index 9

Impact in

Papers in

Min Fu

35 papers receiving 305 citations

Peers

Min Fu
Comparison fields: 5 of 95
  • Periodontics 25
  • Clinical Biochemistry 18
  • Cell Biology 45
  • Computer Networks and Communications 52
  • Information Systems 48
Replace Alexandra Moraru with:
Alexandra Moraru Slovenia
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Cunjin Luo China
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Hasan Oğul Türkiye
Changcheng Huang China
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Citations per field
00.5×1.5×1.8×
Alexandra Moraru · 1×
Citations per year

Countries citing papers authored by Min Fu

Since Specialization
Citations

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

Fields of papers citing papers by Min Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min Fu, 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 Fu Line = papers co-authored together Min Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201598
2 201628
3 201827
4 201923
5 202121
6 202010
7 202310
8 20219
9 20179
10 20177
11 20186
12
Quantitative Analysis of Thermal Radiation Damaging Effects Caused by Liquid or Gaseous Hydrocarbon Fires
20086
13 20225
14 20205
15
[Investigation of the relationship between chronic diseases and residual symptoms of benign paroxysmal positional vertigo].
20154
16 20194
17 20243
18 20223
19 20233
20 20213

About Min Fu

Min Fu is a scholar working on Information Systems, Endocrinology, Diabetes and Metabolism, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 309 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (8 papers), Cloud Computing and Resource Management (4 papers), Data Management and Algorithms (3 papers), Software System Performance and Reliability (3 papers), Human Mobility and Location-Based Analysis (3 papers), Service-Oriented Architecture and Web Services (2 papers), Neonatal Health and Biochemistry (2 papers) and Sports Analytics and Performance (2 papers). The work is most often cited by research in Periodontics (25 citations), Clinical Biochemistry (18 citations), Cell Biology (45 citations), Computer Networks and Communications (52 citations) and Information Systems (48 citations). Min Fu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Pascal St-Pierre, Nelly Panté, Ivan R. Nabi, Shuiguang Deng, Jianwei Yin, Hongyue Wu, Wei Li, Albert Y. Zomaya, Bin Guo and Xi Zheng. Their work appears in journals such as European Journal of Nutrition, International Journal of Embedded Systems, Environmental Toxicology, Neuroscience and Tetrahedron.

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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