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Researcher · Institute of Computing Technology · China

Qingkai Fang

Qingkai Fang publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Natural Language Processing Techniques, Speech Recognition and Synthesis and Topic Modeling.

ORCID 0000-0001-8575-591X OpenAlex
World rank
#2,462,066
of 7,710,434 ranked researchers
Rank in China
#384,630
of 978,568
Works
37
Citations
235
Citations per work
6.4
h-index
7
i10-index 7Top 65% in Artificial Intelligence
Qingkai Fang

What does Qingkai Fang research?

Qingkai Fang's work is mostly in Computer Science (97%), Biochemistry, Genetics and Molecular Biology (1%), Earth and Planetary Sciences (1%).

Physical Sciences: 37 works · 98.9% of their workComputer Science: 36 works · 97.1% of their workArtificial Intelligence: 31 works · 83.0% of their workComputer Vision and Pattern Recognition: 4 works · 11.3% of their workSignal Processing: 1 works · 2.8% of their workEarth and Planetary Sciences: 0 works · 0.9% of their workGeology: 0 works · 0.9% of their workEngineering: 0 works · 0.9% of their workComputational Mechanics: 0 works · 0.9% of their workLife Sciences: 0 works · 0.9% of their workBiochemistry, Genetics and Molecular Biology: 0 works · 0.9% of their workCancer Research: 0 works · 0.9% of their workTHEIR WORKQingkai Fang37works
Life Sciences1%Physical Sciences99%

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. Computer Science3697.1%
    2. Earth and Planetary Sciences00.9%
    3. Engineering00.9%
    1. Biochemistry, Genetics and Molecular Biology00.9%
  1. 1Artificial Intelligence83% of their works
  2. 2Computer Vision and Pattern Recognition11% of their works
  3. 3Signal Processing3% of their works
  4. 4Cancer Research1% of their works
  5. 5Geology1% of their works
  6. 6Computational Mechanics1% of their works

Research topics

Which keywords describe Qingkai Fang's research?

The keywords of their largest research topics: Neural Networks, Neural Machine Translation, Statistical Machine Translation, Acoustic Modeling, Deep Neural Networks, Machine Translation, Word Representation and Deep Learning.

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 18 words, with their numbers
  1. Neural Networks323 topics
  2. Neural Machine Translation291 topic
  3. Statistical Machine Translation291 topic
  4. Acoustic Modeling231 topic
  5. Deep Neural Networks231 topic
  6. Machine Translation211 topic
  7. Word Representation211 topic
  8. Deep Learning112 topics
  9. Markov Decision Processes101 topic
  10. Spoken Dialogue Systems101 topic
  11. Image Captioning81 topic
  12. Visual Question Answering81 topic
  13. Artificial Intelligence41 topic
  14. Service Robots41 topic
  15. Audio-Visual Speech Recognition31 topic
  16. Speech Enhancement31 topic
  17. Depth Estimation21 topic
  18. Stereo Vision21 topic

Where does Qingkai Fang work?

Qingkai Fang's main affiliation in the publication record is Institute of Computing Technology, China.

How many publications and citations does Qingkai Fang have?

OpenAlex counts 37 works and 235 citations for Qingkai Fang, an h-index of 7, ranking #2,462,066 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.

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.

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