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Researcher · Tomorrows Children’s Fund · United States

Zhilong Ji

Zhilong Ji publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Generative Adversarial Networks and Image Synthesis, Multimodal Machine Learning Applications and Handwritten Text Recognition Techniques.

ORCID 0000-0002-8799-3409 OpenAlex
World rank
#1,136,260
of 7,710,434 ranked researchers
Rank in United States
#366,430
of 1,627,098
Works
65
Citations
838
Citations per work
12.9
h-index
12
i10-index 14Top 34% in Computer Vision and Pattern Recognition
Zhilong Ji

What does Zhilong Ji research?

Zhilong Ji's work is mostly in Computer Science (72%), Medicine (4%), Engineering (2%).

Physical Sciences: 48 works · 73.5% of their workComputer Science: 47 works · 71.8% of their workComputer Vision and Pattern Recognition: 32 works · 48.6% of their workArtificial Intelligence: 12 works · 17.7% of their workHuman-Computer Interaction: 2 works · 3.3% of their workComputational Theory and Mathematics: 1 works · 2.2% of their workEngineering: 1 works · 1.7% of their workBuilding and Construction: 1 works · 1.7% of their workEverything else: 15 works · 22.6% of their workHealth Sciences: 3 works · 3.9% of their workMedicine: 3 works · 3.9% of their workRadiology, Nuclear Medicine and Imaging: 3 works · 3.9% of their workTHEIR WORKZhilong Ji65works
Physical Sciences74%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. Computer Science4771.8%
    2. Engineering11.7%
  2. Everything else1522.6%
    1. Medicine33.9%
  1. 1Computer Vision and Pattern Recognition49% of their works
  2. 2Artificial Intelligence18% of their works
  3. 3Radiology, Nuclear Medicine and Imaging4% of their works
  4. 4Human-Computer Interaction3% of their works
  5. 5Computational Theory and Mathematics2% of their works
  6. 6Building and Construction2% of their works

Research topics

Which keywords describe Zhilong Ji's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Representation Learning, Unsupervised Learning, Convolutional Neural Networks, Generative Adversarial Networks, Image Synthesis and Image Captioning.

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 Learning394 topics
  2. Neural Networks393 topics
  3. Representation Learning232 topics
  4. Unsupervised Learning232 topics
  5. Convolutional Neural Networks182 topics
  6. Generative Adversarial Networks141 topic
  7. Image Synthesis141 topic
  8. Image Captioning131 topic
  9. Visual Question Answering131 topic
  10. Handwriting Recognition121 topic
  11. Text Detection121 topic
  12. Domain Adaptation91 topic
  13. Transfer Learning91 topic
  14. Content-Based Image Retrieval71 topic
  15. Neural Machine Translation71 topic
  16. Shape Matching71 topic
  17. Statistical Machine Translation71 topic
  18. Action Recognition61 topic
  19. Image Recognition61 topic
  20. Object Detection61 topic
  21. Pose Estimation61 topic

Where does Zhilong Ji work?

Zhilong Ji's main affiliation in the publication record is Tomorrows Children’s Fund, United States.

How many publications and citations does Zhilong Ji have?

OpenAlex counts 65 works and 838 citations for Zhilong Ji, an h-index of 12, ranking #1,136,260 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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