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Researcher · Huawei Technologies (China) · China

Qinglin Jia

Qinglin Jia publishes mostly in Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Recommender Systems and Techniques, Topic Modeling and Advanced Graph Neural Networks.

ORCID 0000-0002-3583-6719 OpenAlex
World rank
#1,998,966
of 7,710,434 ranked researchers
Rank in China
#307,627
of 978,568
Works
20
Citations
236
Citations per work
11.8
h-index
7
i10-index 5Top 37% in Information Systems
Qinglin Jia

What does Qinglin Jia research?

Qinglin Jia's work is mostly in Computer Science (61%), Business, Management and Accounting (7%), Engineering (6%).

Physical Sciences: 13 works · 66.8% of their workComputer Science: 12 works · 61.2% of their workInformation Systems: 5 works · 24.1% of their workArtificial Intelligence: 4 works · 20.4% of their workComputer Vision and Pattern Recognition: 3 works · 16.7% of their workEngineering: 1 works · 5.6% of their workControl and Systems Engineering: 1 works · 5.6% of their workEverything else: 4 works · 22.1% of their workSocial Sciences: 2 works · 11.1% of their workBusiness, Management and Accounting: 1 works · 7.4% of their workMarketing: 1 works · 7.4% of their workSocial Sciences: 1 works · 3.7% of their workUrban Studies: 1 works · 3.7% of their workTHEIR WORKQinglin Jia20works
Physical Sciences67%Social Sciences11%

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 Science1261.2%
    2. Engineering15.6%
  2. Everything else422.1%
    1. Business, Management and Accounting17.4%
    2. Social Sciences13.7%
  1. 1Information Systems24% of their works
  2. 2Artificial Intelligence20% of their works
  3. 3Computer Vision and Pattern Recognition17% of their works
  4. 4Marketing7% of their works
  5. 5Control and Systems Engineering6% of their works
  6. 6Urban Studies4% of their works

Research topics

Which keywords describe Qinglin Jia's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Collaborative Filtering, Matrix Factorization, Machine Learning, Information Retrieval, Text Classification and Content-Based Image Retrieval.

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 21 words, with their numbers
  1. Deep Learning173 topics
  2. Neural Networks152 topics
  3. Collaborative Filtering111 topic
  4. Matrix Factorization111 topic
  5. Machine Learning83 topics
  6. Information Retrieval62 topics
  7. Text Classification62 topics
  8. Content-Based Image Retrieval41 topic
  9. Graph Neural Networks41 topic
  10. Knowledge Graph Embedding41 topic
  11. Machine Translation41 topic
  12. Shape Matching41 topic
  13. Word Representation41 topic
  14. Churn Prediction21 topic
  15. Customer Equity21 topic
  16. Fault Detection21 topic
  17. Feature Selection21 topic
  18. Image Quality Assessment21 topic
  19. Multi-label Learning21 topic
  20. Perceptual Quality21 topic
  21. Process Monitoring21 topic

Where does Qinglin Jia work?

Qinglin Jia's main affiliation in the publication record is Huawei Technologies (China), China.

How many publications and citations does Qinglin Jia have?

OpenAlex counts 20 works and 236 citations for Qinglin Jia, an h-index of 7, ranking #1,998,966 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.

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

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