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Researcher · Fudan University · China

Weiyang Ding

Weiyang Ding publishes mostly in Computational Mathematics, Computational Theory and Mathematics and Artificial Intelligence, on topics such as Tensor decomposition and applications, Matrix Theory and Algorithms and Sparse and Compressive Sensing Techniques.

ORCID 0000-0003-3075-5781 OpenAlex
World rank
#1,370,689
of 7,710,434 ranked researchers
Rank in China
#202,082
of 978,568
Works
54
Citations
1.1k
Citations per work
21.1
h-index
15
i10-index 21Top 18% in Computational Mathematics
Weiyang Ding

What does Weiyang Ding research?

Weiyang Ding's work is mostly in Mathematics (24%), Computer Science (22%), Neuroscience (6%).

Physical Sciences: 28 works · 52.3% of their workMathematics: 13 works · 24.5% of their workComputational Mathematics: 13 works · 24.5% of their workComputer Science: 12 works · 22.4% of their workComputational Theory and Mathematics: 9 works · 16.3% of their workArtificial Intelligence: 3 works · 6.1% of their workEngineering: 3 works · 5.4% of their workComputational Mechanics: 3 works · 5.4% of their workEverything else: 20 works · 36.8% of their workLife Sciences: 3 works · 6.1% of their workNeuroscience: 3 works · 6.1% of their workCognitive Neuroscience: 3 works · 6.1% of their workHealth Sciences: 3 works · 4.8% of their workMedicine: 3 works · 4.8% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 4.8% of their workTHEIR WORKWeiyang Ding54works
Life Sciences6%Physical Sciences52%Health Sciences5%

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. Mathematics1324.5%
    2. Computer Science1222.4%
    3. Engineering35.4%
  2. Everything else2036.8%
    1. Neuroscience36.1%
    1. Medicine34.8%
  1. 1Computational Mathematics24% of their works
  2. 2Computational Theory and Mathematics16% of their works
  3. 3Artificial Intelligence6% of their works
  4. 4Cognitive Neuroscience6% of their works
  5. 5Computational Mechanics5% of their works
  6. 6Radiology, Nuclear Medicine and Imaging5% of their works

Research topics

Which keywords describe Weiyang Ding's research?

The keywords of their largest research topics: Machine Learning, Multilinear Algebra, Tensor Decomposition, Matrix Computations, Numerical Linear Algebra, Sparse Representation, Compressed Sensing and Diffusion MRI.

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. Machine Learning412 topics
  2. Multilinear Algebra361 topic
  3. Tensor Decomposition361 topic
  4. Matrix Computations241 topic
  5. Numerical Linear Algebra241 topic
  6. Sparse Representation102 topics
  7. Compressed Sensing61 topic
  8. Diffusion MRI61 topic
  9. Signal Recovery61 topic
  10. White Matter61 topic
  11. Arterial Biomechanics51 topic
  12. Deep Learning51 topic
  13. Functional Connectivity51 topic
  14. Hyperelastic Modeling51 topic
  15. Partial Differential Equations51 topic
  16. Resting-State fMRI51 topic
  17. Blind Separation41 topic
  18. Independent Component Analysis41 topic

Where does Weiyang Ding work?

Weiyang Ding's main affiliation in the publication record is Fudan University, China.

How many publications and citations does Weiyang Ding have?

OpenAlex counts 54 works and 1,139 citations for Weiyang Ding, an h-index of 15, ranking #1,370,689 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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