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

Hangjun Che

Hangjun Che publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, on topics such as Face and Expression Recognition, Neural Networks and Applications and Sparse and Compressive Sensing Techniques.

ORCID 0000-0002-8930-0039 OpenAlex
World rank
#103,493
of 7,710,434 ranked researchers
Rank in China
#9,015
of 978,568
Works
102
Citations
2.3k
Citations per work
22.8
h-index
30
i10-index 52Top 5.1% in Computer Vision and Pattern Recognition
Hangjun Che

What does Hangjun Che research?

Hangjun Che's work is mostly in Computer Science (49%), Engineering (18%).

Physical Sciences: 68 works · 66.5% of their workComputer Science: 50 works · 48.7% of their workComputer Vision and Pattern Recognition: 24 works · 23.3% of their workArtificial Intelligence: 22 works · 21.2% of their workSignal Processing: 4 works · 4.2% of their workEngineering: 18 works · 17.8% of their workComputational Mechanics: 6 works · 6.3% of their workElectrical and Electronic Engineering: 6 works · 5.9% of their workControl and Systems Engineering: 6 works · 5.6% of their workEverything else: 34 works · 33.5% of their workTHEIR WORKHangjun Che102works
Physical Sciences66%

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 Science5048.7%
    2. Engineering1817.8%
  2. Everything else3433.5%
  1. 1Computer Vision and Pattern Recognition23% of their works
  2. 2Artificial Intelligence21% of their works
  3. 3Computational Mechanics6% of their works
  4. 4Electrical and Electronic Engineering6% of their works
  5. 5Control and Systems Engineering6% of their works
  6. 6Signal Processing4% of their works

Research topics

Which keywords describe Hangjun Che's research?

The keywords of their largest research topics: Sparse Representation, Local Binary Patterns, Dimensionality Reduction, Face Recognition, Deep Learning, Neural Networks, Self-Organizing Maps 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.

All 20 words, with their numbers
  1. Sparse Representation532 topics
  2. Local Binary Patterns442 topics
  3. Dimensionality Reduction371 topic
  4. Face Recognition371 topic
  5. Deep Learning262 topics
  6. Neural Networks201 topic
  7. Self-Organizing Maps201 topic
  8. Machine Learning172 topics
  9. Compressed Sensing161 topic
  10. Signal Recovery161 topic
  11. Spatial Network Analysis111 topic
  12. Urban Structure111 topic
  13. Multilinear Algebra101 topic
  14. Tensor Decomposition101 topic
  15. Clustering Algorithms71 topic
  16. Content-Based Image Retrieval71 topic
  17. K-means71 topic
  18. Shape Matching71 topic
  19. Graph Neural Networks61 topic
  20. Knowledge Graph Embedding61 topic

Where does Hangjun Che work?

Hangjun Che's main affiliation in the publication record is Southwest University, China.

How many publications and citations does Hangjun Che have?

OpenAlex counts 102 works and 2,326 citations for Hangjun Che, an h-index of 30, ranking #103,493 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.

Discussion

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