Min Fu

2.2k citations
67 papers · 1.7k · h-index 20

Impact in

Papers in

Min Fu

58 papers receiving 1.6k citations

Peers

Min Fu
Comparison fields: 5 of 149
  • Acoustics and Ultrasonics 36
  • Biophysics 153
  • Cellular and Molecular Neuroscience 414
  • Developmental Neuroscience 88
  • Neurology 167
Replace Hantao Liu with:
Hantao Liu United Kingdom
Hua Han China
Suk‐Ho Lee South Korea
Hongyan Zhu China
Ichiro Fujita Japan
Yalun Zhang China
Xiaoli Qi China
Hiroki Sugihara Japan
Elizabeth Bullitt United States
Min Fu relative to Hantao Liu United Kingdom Hantao Liu's profile →
Citations per field
00.5×10.2×
Hantao Liu · 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 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012357
2 2011235
3 2007137
4 2011135
5 200758
6 201153
7 201551
8
Toxicological mechanisms of Aconitum alkaloids.
200649
9 202247
10 201144
11 201144
12 201835
13 201934
14 201832
15 201027
16 201226
17 200825
18 201925
19 200720
20 202219

About Min Fu

Min Fu is a scholar working on Media Technology, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Atmospheric Science and Ocean Engineering, having authored 67 papers that have together received 1.7k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (13 papers), Remote Sensing and Land Use (12 papers), Underwater Vehicles and Communication Systems (10 papers), Optical Wireless Communication Technologies (8 papers), Advanced Image Fusion Techniques (8 papers), Alzheimer's disease research and treatments (7 papers), Advanced Neural Network Applications (5 papers) and Water Quality Monitoring Technologies (4 papers). The work is most often cited by research in Acoustics and Ultrasonics (36 citations), Biophysics (153 citations), Cellular and Molecular Neuroscience (414 citations), Developmental Neuroscience (88 citations) and Neurology (167 citations). Min Fu has collaborated with scholars based in China, United States and France. Frequent co-authors include Yi Zuo, Xinzhu Yu, Ju Lu, Doris Lambracht‐Washington, Roger N. Rosenberg, Xuefeng Liu, Oscar Azucena, Joel Kubby, Diana C. Chen and Xiaodong Tao. Their work appears in journals such as Remote Sensing, Journal of Neuroimmunology, Electronics, IEEE Access and Canadian Journal of Remote Sensing.

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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