Lanqing Hong
Lanqing Hong publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, on topics such as Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications and Multimodal Machine Learning Applications.
- World rank
- #230,060 of 7,710,434 ranked researchers
- Rank in Sweden
- #2,553 of 71,437
- Works
- 138
- Citations
- 1.8k
- Citations per work
- 13.1
What does Lanqing Hong research?
Lanqing Hong's work is mostly in Computer Science (68%), Engineering (3%), Medicine (2%).
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
- Physical Sciences9971.9%
- Computer Science9568.5%
- Engineering53.4%
- Everything else3625.8%
- Health Sciences32.3%
- Medicine32.3%
- 1Artificial Intelligence35% of their works
- 2Computer Vision and Pattern Recognition31% of their works
- 3Computer Graphics and Computer-Aided Design2% of their works
- 4Radiology, Nuclear Medicine and Imaging2% of their works
- 5Safety, Risk, Reliability and Quality2% of their works
- 6Computational Mechanics2% of their works
Research topics
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Natural Language Processing Techniques
- Adversarial Robustness in Machine Learning
- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
- Anomaly Detection Techniques and Applications
Which keywords describe Lanqing Hong's research?
The keywords of their largest research topics: Deep Learning, Unsupervised Learning, Neural Networks, Representation Learning, Domain Adaptation, Transfer Learning, Convolutional Neural Networks and Image Captioning.
- Unsupervised
- Stereo Vision
- Robustness
- Image Synthesis
- Depth Estimation
- Visual Question Answering
- Image Captioning
- Transfer Learning
- Representation Learning
- Unsupervised Learning
- Deep Learning
- Neural Networks
- Domain Adaptation
- Convolutional Neural Networks
- Image Recognition
- Adversarial Examples
- Generative Adversarial Networks
- Neural Machine Translation
- Statistical Machine Translation
- Anomaly 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 20 words, with their numbers
- Deep Learning855 topics
- Unsupervised Learning643 topics
- Neural Networks574 topics
- Representation Learning542 topics
- Domain Adaptation441 topic
- Transfer Learning441 topic
- Convolutional Neural Networks281 topic
- Image Captioning281 topic
- Image Recognition281 topic
- Visual Question Answering281 topic
- Adversarial Examples101 topic
- Depth Estimation101 topic
- Generative Adversarial Networks101 topic
- Image Synthesis101 topic
- Neural Machine Translation101 topic
- Robustness101 topic
- Statistical Machine Translation101 topic
- Stereo Vision101 topic
- Anomaly Detection91 topic
- Unsupervised91 topic
Where does Lanqing Hong work?
Lanqing Hong's main affiliation in the publication record is Huawei Technologies (Sweden), Sweden.
How many publications and citations does Lanqing Hong have?
OpenAlex counts 138 works and 1,812 citations for Lanqing Hong, an h-index of 23, ranking #230,060 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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