Science Explorer Back to mapMap
Discussion
Researcher · Northeastern University · China

Like Li

Like Li publishes mostly in Electrical and Electronic Engineering, Molecular Biology and Biomedical Engineering, on topics such as Advanced Fiber Optic Sensors, Photonic and Optical Devices and Advanced biosensing and bioanalysis techniques.

ORCID 0000-0003-2908-0756 OpenAlex
World rank
#1,281,178
of 7,710,434 ranked researchers
Rank in China
#187,298
of 978,568
Works
49
Citations
961
Citations per work
19.6
h-index
17
i10-index 25Top 24% in Electrical and Electronic Engineering
Like Li

What does Like Li research?

Like Li's work is mostly in Engineering (41%), Biochemistry, Genetics and Molecular Biology (11%), Computer Science (7%).

Physical Sciences: 28 works · 57.7% of their workEngineering: 20 works · 40.7% of their workElectrical and Electronic Engineering: 16 works · 32.6% of their workBiomedical Engineering: 4 works · 8.1% of their workComputer Science: 3 works · 6.7% of their workComputer Vision and Pattern Recognition: 3 works · 6.7% of their workChemical Engineering: 3 works · 5.9% of their workBioengineering: 3 works · 5.9% of their workMaterials Science: 2 works · 4.4% of their workMaterials Chemistry: 2 works · 4.4% of their workEverything else: 15 works · 31.2% of their workLife Sciences: 5 works · 11.1% of their workBiochemistry, Genetics and Molecular Biology: 5 works · 11.1% of their workMolecular Biology: 5 works · 11.1% of their workTHEIR WORKLike Li49works
Life Sciences11%Physical Sciences58%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Engineering2040.7%
    2. Computer Science36.7%
    3. Chemical Engineering35.9%
    4. Materials Science24.4%
  2. Everything else1531.2%
    1. Biochemistry, Genetics and Molecular Biology511.1%
  1. 1Electrical and Electronic Engineering33% of their works
  2. 2Molecular Biology11% of their works
  3. 3Biomedical Engineering8% of their works
  4. 4Computer Vision and Pattern Recognition7% of their works
  5. 5Bioengineering6% of their works
  6. 6Materials Chemistry4% of their works

Research topics

Which keywords describe Like Li's research?

The keywords of their largest research topics: Biosensors, Fiber Optic Sensors, Optical Fiber, Optical Modulators, Silicon Photonics, DNA nanotechnology, Self-Assembly and Ion-Selective Electrodes.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 17 words, with their numbers
  1. Biosensors344 topics
  2. Fiber Optic Sensors201 topic
  3. Optical Fiber201 topic
  4. Optical Modulators141 topic
  5. Silicon Photonics141 topic
  6. DNA nanotechnology91 topic
  7. Self-Assembly91 topic
  8. Ion-Selective Electrodes81 topic
  9. Optical Sensors81 topic
  10. Convolutional Neural Networks31 topic
  11. Deep Learning31 topic
  12. Fiber Lasers31 topic
  13. Loop-Mediated Isothermal Amplification31 topic
  14. Paper-Based Microfluidics31 topic
  15. Supercontinuum Generation31 topic
  16. Fluorescent Chemosensors21 topic
  17. Ion Detection21 topic

Where does Like Li work?

Like Li's main affiliation in the publication record is Northeastern University, China.

How many publications and citations does Like Li have?

OpenAlex counts 49 works and 961 citations for Like Li, an h-index of 17, ranking #1,281,178 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Like Li

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Like Li. Posts are plain text and can be reported.