Fang Mi

646 citations
29 papers · 490 · h-index 12

Impact in

    • Biosensors and Analytical Detection
    • Microfluidic and Capillary Electrophoresis Applications
  • Biophysics top 10%
    • Spectroscopy Techniques in Biomedical and Chemical Research

Papers in

Fang Mi

28 papers receiving 484 citations

Peers

Fang Mi
Comparison fields: 5 of 71
  • Biomedical Engineering 329
  • Biophysics 34
  • Analytical Chemistry 56
  • Electronic, Optical and Magnetic Materials 98
  • Molecular Biology 278
Replace Cunming Hu with:
Cunming Hu China
Jennifer Boryczka United States
Hilal Torul Türkiye
Shashank K. Gahlaut India
Cuize Yao China
Shuo Qi China
Liyan Bi China
Joung‐Il Moon South Korea
Farkhondeh Fathi Canada
Fang Mi relative to Cunming Hu China Cunming Hu's profile →
Citations per field
00.5×1.5×2.1×
Cunming Hu · 1×
Citations per year

Countries citing papers authored by Fang Mi

Since Specialization
Citations

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

Fields of papers citing papers by Fang Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022125
2 202077
3 202338
4 202038
5 202130
6 202126
7 202319
8 202318
9 202117
10 202315
11 202014
12 202511
13 201510
14 20249
15 20248
16 20236
17 20246
18 20234
19 20254
20 20214

About Fang Mi

Fang Mi is a scholar working on Molecular Biology, Biomedical Engineering, Electronic, Optical and Magnetic Materials, Materials Chemistry and Analytical Chemistry, having authored 29 papers that have together received 490 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (16 papers), Biosensors and Analytical Detection (15 papers), Gold and Silver Nanoparticles Synthesis and Applications (10 papers), Advanced Nanomaterials in Catalysis (7 papers), Analytical chemistry methods development (5 papers), Mass Spectrometry Techniques and Applications (2 papers), Electrochemical sensors and biosensors (1 paper) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Biomedical Engineering (329 citations), Biophysics (34 citations), Analytical Chemistry (56 citations), Electronic, Optical and Magnetic Materials (98 citations) and Molecular Biology (278 citations). Fang Mi has collaborated with scholars based in China and Vietnam. Frequent co-authors include Ming Guan, Cunming Hu, Peng Geng, Ying Wang, Fei Peng, Li Wang, Xiaomei Wang, Li Ma, Wang Xiao-mei and Chang Guo. Their work appears in journals such as Microchimica Acta, Analytica Chimica Acta, Sensors and Actuators B Chemical, The Analyst and Microchemical Journal.

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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