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Researcher · Harbin Engineering University · China

Qingwei Jia

Qingwei Jia publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, on topics such as Text and Document Classification Technologies, Face and Expression Recognition and Image Retrieval and Classification Techniques.

ORCID 0009-0003-3787-1256 OpenAlex
World rank
#1,268,225
of 7,710,434 ranked researchers
Rank in China
#185,089
of 978,568
Works
17
Citations
99
Citations per work
5.8
h-index
6
i10-index 3Top 78% in Computer Vision and Pattern Recognition
Qingwei Jia

What does Qingwei Jia research?

Qingwei Jia's work is mostly in Computer Science (75%), Neuroscience (6%).

Physical Sciences: 13 works · 75.2% of their workComputer Science: 13 works · 75.2% of their workComputer Vision and Pattern Recognition: 5 works · 31.3% of their workArtificial Intelligence: 5 works · 29.2% of their workInformation Systems: 1 works · 6.3% of their workComputational Theory and Mathematics: 1 works · 4.2% of their workSignal Processing: 1 works · 4.2% of their workEverything else: 3 works · 18.5% of their workLife Sciences: 1 works · 6.3% of their workNeuroscience: 1 works · 6.3% of their workCognitive Neuroscience: 1 works · 6.3% of their workTHEIR WORKQingwei Jia17works
Life Sciences6%Physical Sciences75%

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 Science1375.2%
  2. Everything else318.5%
    1. Neuroscience16.3%
  1. 1Computer Vision and Pattern Recognition31% of their works
  2. 2Artificial Intelligence29% of their works
  3. 3Information Systems6% of their works
  4. 4Cognitive Neuroscience6% of their works
  5. 5Signal Processing4% of their works
  6. 6Computational Theory and Mathematics4% of their works

Research topics

Which keywords describe Qingwei Jia's research?

The keywords of their largest research topics: Feature Selection, Local Binary Patterns, Multi-label Learning, Sparse Representation, Text Classification, Dimensionality Reduction, Face Recognition and Machine 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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Feature Selection203 topics
  2. Local Binary Patterns132 topics
  3. Multi-label Learning101 topic
  4. Sparse Representation102 topics
  5. Text Classification101 topic
  6. Dimensionality Reduction81 topic
  7. Face Recognition81 topic
  8. Machine Learning83 topics
  9. Content-Based Image Retrieval51 topic
  10. Shape Matching51 topic
  11. Brain-Computer Interfaces31 topic
  12. EEG Analysis31 topic
  13. Blind Separation21 topic
  14. Granular Computing21 topic
  15. Independent Component Analysis21 topic
  16. Phishing21 topic
  17. Rough Sets21 topic
  18. Spam Detection21 topic
  19. Brain Tumor11 topic
  20. MRI11 topic

Where does Qingwei Jia work?

Qingwei Jia's main affiliation in the publication record is Harbin Engineering University, China.

How many publications and citations does Qingwei Jia have?

OpenAlex counts 17 works and 99 citations for Qingwei Jia, an h-index of 6, ranking #1,268,225 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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 Qingwei Jia

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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