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Researcher · Northwestern Polytechnical University · China

Teng-Yu Ji

Teng-Yu Ji publishes mostly in Computer Vision and Pattern Recognition, Computational Mechanics and Computational Mathematics, on topics such as Image and Signal Denoising Methods, Sparse and Compressive Sensing Techniques and Tensor decomposition and applications.

ORCID 0000-0003-2848-8477 OpenAlex
World rank
#562,282
of 7,710,434 ranked researchers
Rank in China
#70,934
of 978,568
Works
36
Citations
1.4k
Citations per work
39.4
h-index
15
i10-index 17Top 23% in Computer Vision and Pattern Recognition
Teng-Yu Ji

What does Teng-Yu Ji research?

Teng-Yu Ji's work is mostly in Engineering (37%), Computer Science (36%), Mathematics (16%).

Physical Sciences: 33 works · 92.5% of their workEngineering: 13 works · 37.4% of their workComputational Mechanics: 8 works · 23.4% of their workMedia Technology: 5 works · 14.0% of their workComputer Science: 13 works · 36.4% of their workComputer Vision and Pattern Recognition: 13 works · 36.4% of their workMathematics: 6 works · 15.9% of their workComputational Mathematics: 6 works · 15.9% of their workEnvironmental Science: 1 works · 2.8% of their workEcology: 1 works · 2.8% of their workEverything else: 1 works · 3.8% of their workHealth Sciences: 1 works · 3.7% of their workMedicine: 1 works · 3.7% of their workRadiology, Nuclear Medicine and Imaging: 1 works · 3.7% of their workTHEIR WORKTeng-Yu Ji36works
Physical Sciences93%Health Sciences4%

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. Engineering1337.4%
    2. Computer Science1336.4%
    3. Mathematics615.9%
    4. Environmental Science12.8%
  2. Everything else13.8%
    1. Medicine13.7%
  1. 1Computer Vision and Pattern Recognition36% of their works
  2. 2Computational Mechanics23% of their works
  3. 3Computational Mathematics16% of their works
  4. 4Media Technology14% of their works
  5. 5Radiology, Nuclear Medicine and Imaging4% of their works
  6. 6Ecology3% of their works

Research topics

Which keywords describe Teng-Yu Ji's research?

The keywords of their largest research topics: Sparse Representation, Deep Learning, Wavelet Transform, Image Denoising, Sparse Representations, Compressed Sensing, Signal Recovery and Multilinear Algebra.

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 21 words, with their numbers
  1. Sparse Representation433 topics
  2. Deep Learning404 topics
  3. Wavelet Transform382 topics
  4. Image Denoising261 topic
  5. Sparse Representations261 topic
  6. Compressed Sensing251 topic
  7. Signal Recovery251 topic
  8. Multilinear Algebra171 topic
  9. Tensor Decomposition171 topic
  10. Hyperspectral152 topics
  11. Remote Sensing152 topics
  12. Image Fusion121 topic
  13. Multispectral121 topic
  14. Image61 topic
  15. Super-Resolution61 topic
  16. Contrast Enhancement51 topic
  17. Dehazing51 topic
  18. Diffusion MRI41 topic
  19. White Matter41 topic
  20. Classification31 topic
  21. Image Analysis31 topic

Where does Teng-Yu Ji work?

Teng-Yu Ji's main affiliation in the publication record is Northwestern Polytechnical University, China.

How many publications and citations does Teng-Yu Ji have?

OpenAlex counts 36 works and 1,419 citations for Teng-Yu Ji, an h-index of 15, ranking #562,282 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

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