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Researcher · Chinese Academy of Sciences · China

Chengkan Lv

Chengkan Lv publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial and Manufacturing Engineering, on topics such as Anomaly Detection Techniques and Applications, Industrial Vision Systems and Defect Detection and Domain Adaptation and Few-Shot Learning.

ORCID 0000-0001-5319-1363 OpenAlex
World rank
#2,204,248
of 7,710,434 ranked researchers
Rank in China
#341,950
of 978,568
Works
18
Citations
241
Citations per work
13.4
h-index
8
i10-index 7Top 56% in Artificial Intelligence
Chengkan Lv

What does Chengkan Lv research?

Chengkan Lv's work is mostly in Computer Science (54%), Engineering (33%).

Physical Sciences: 16 works · 87.6% of their workComputer Science: 10 works · 54.2% of their workArtificial Intelligence: 7 works · 37.5% of their workComputer Vision and Pattern Recognition: 3 works · 16.7% of their workEngineering: 6 works · 33.4% of their workIndustrial and Manufacturing Engineering: 3 works · 14.6% of their workControl and Systems Engineering: 1 works · 8.3% of their workMedia Technology: 1 works · 6.3% of their workElectrical and Electronic Engineering: 1 works · 4.2% of their workEverything else: 2 works · 12.4% of their workTHEIR WORKChengkan Lv18works
Physical Sciences88%

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 Science1054.2%
    2. Engineering633.4%
  2. Everything else212.4%
  1. 1Artificial Intelligence38% of their works
  2. 2Computer Vision and Pattern Recognition17% of their works
  3. 3Industrial and Manufacturing Engineering15% of their works
  4. 4Control and Systems Engineering8% of their works
  5. 5Media Technology6% of their works
  6. 6Electrical and Electronic Engineering4% of their works

Research topics

Which keywords describe Chengkan Lv's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Anomaly Detection, Outlier Detection, Unsupervised, Machine Vision, Machine Learning and Fabric Defect Detection.

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. Deep Learning234 topics
  2. Neural Networks173 topics
  3. Anomaly Detection142 topics
  4. Outlier Detection121 topic
  5. Unsupervised121 topic
  6. Machine Vision102 topics
  7. Machine Learning83 topics
  8. Fabric Defect Detection71 topic
  9. Texture Analysis71 topic
  10. Domain Adaptation41 topic
  11. Fault Detection41 topic
  12. Process Monitoring41 topic
  13. Transfer Learning41 topic
  14. Autofocusing31 topic
  15. Depth Estimation31 topic
  16. Hough Transform31 topic
  17. Line Detection31 topic
  18. Adversarial Examples21 topic
  19. Intrusion Detection21 topic
  20. Network Security21 topic
  21. Robustness21 topic

Where does Chengkan Lv work?

Chengkan Lv's main affiliation in the publication record is Chinese Academy of Sciences, China.

How many publications and citations does Chengkan Lv have?

OpenAlex counts 18 works and 241 citations for Chengkan Lv, an h-index of 8, ranking #2,204,248 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.

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