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Researcher · Baidu (China) · China

Xinjing Cheng

Xinjing Cheng publishes mostly in Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Advanced Vision and Imaging.

ORCID 0000-0003-2927-4243 OpenAlex
World rank
#767,691
of 7,710,434 ranked researchers
Rank in China
#102,943
of 978,568
Works
31
Citations
2.6k
Citations per work
82.6
h-index
17
i10-index 19Top 18% in Computer Vision and Pattern Recognition
Xinjing Cheng

What does Xinjing Cheng research?

Xinjing Cheng's work is mostly in Computer Science (69%), Engineering (10%), Medicine (6%).

Physical Sciences: 25 works · 79.1% of their workComputer Science: 21 works · 69.2% of their workComputer Vision and Pattern Recognition: 16 works · 52.7% of their workArtificial Intelligence: 5 works · 16.5% of their workEngineering: 3 works · 9.9% of their workControl and Systems Engineering: 1 works · 3.3% of their workMedia Technology: 1 works · 3.3% of their workOcean Engineering: 1 works · 3.3% of their workEverything else: 5 works · 15.4% of their workHealth Sciences: 2 works · 5.5% of their workMedicine: 2 works · 5.5% of their workRadiology, Nuclear Medicine and Imaging: 2 works · 5.5% of their workTHEIR WORKXinjing Cheng31works
Physical Sciences79%Health Sciences6%

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 Science2169.2%
    2. Engineering39.9%
  2. Everything else515.4%
    1. Medicine25.5%
  1. 1Computer Vision and Pattern Recognition53% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Radiology, Nuclear Medicine and Imaging6% of their works
  4. 4Ocean Engineering3% of their works
  5. 5Control and Systems Engineering3% of their works
  6. 6Media Technology3% of their works

Research topics

Which keywords describe Xinjing Cheng's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Unsupervised Learning, Transfer Learning, Convolutional Networks, Image Classification, Semi-Supervised Learning and Domain Adaptation.

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 25 words, with their numbers
  1. Deep Learning346 topics
  2. Convolutional Neural Networks203 topics
  3. Unsupervised Learning202 topics
  4. Transfer Learning162 topics
  5. Convolutional Networks142 topics
  6. Image Classification142 topics
  7. Semi-Supervised Learning142 topics
  8. Domain Adaptation111 topic
  9. Few-Shot Learning111 topic
  10. Image Recognition111 topic
  11. Neural Networks112 topics
  12. Object Detection111 topic
  13. Medical Imaging102 topics
  14. Depth Estimation91 topic
  15. Stereo Vision91 topic
  16. Image Captioning61 topic
  17. Visual Question Answering61 topic
  18. COVID-1951 topic
  19. Chest X-Ray51 topic
  20. Image51 topic
  21. Super-Resolution51 topic
  22. Object Tracking41 topic
  23. Visual Tracking41 topic
  24. Active Learning31 topic
  25. Machine Learning31 topic

Where does Xinjing Cheng work?

Xinjing Cheng's main affiliation in the publication record is Baidu (China), China.

How many publications and citations does Xinjing Cheng have?

OpenAlex counts 31 works and 2,562 citations for Xinjing Cheng, an h-index of 17, ranking #767,691 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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