Shikun Feng
Shikun Feng publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, on topics such as Topic Modeling, Natural Language Processing Techniques and Multimodal Machine Learning Applications.
- World rank
- #772,639 of 7,710,434 ranked researchers
- Rank in China
- #103,706 of 978,568
- Works
- 84
- Citations
- 3.4k
- Citations per work
- 40.6
What does Shikun Feng research?
Shikun Feng's work is mostly in Computer Science (62%), Biochemistry, Genetics and Molecular Biology (5%), Immunology and Microbiology (5%).
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 Sciences5261.6%
- Computer Science5261.6%
- Everything else2428.4%
- Life Sciences810.0%
- 1Artificial Intelligence28% of their works
- 2Computer Vision and Pattern Recognition24% of their works
- 3Molecular Biology5% of their works
- 4Computational Theory and Mathematics5% of their works
- 5Immunology5% of their works
- 6Information Systems4% of their works
Research topics
Which keywords describe Shikun Feng's research?
The keywords of their largest research topics: Deep Learning, Neural Networks, Machine Translation, Word Representation, Machine Learning, Neural Machine Translation, Statistical Machine Translation and Image Captioning.
- High-Throughput
- Molecular Docking
- Graph Neural Networks
- Aquaculture
- Feature Matching
- Image Captioning
- Neural Machine Translation
- Word Representation
- Neural Networks
- Deep Learning
- Machine Translation
- Machine Learning
- Statistical Machine Translation
- Visual Question Answering
- Local Descriptors
- Fish Immunology
- Knowledge Graph Embedding
- Virtual Screening
- Materials Informatics
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 19 words, with their numbers
- Deep Learning353 topics
- Neural Networks352 topics
- Machine Translation211 topic
- Word Representation211 topic
- Machine Learning182 topics
- Neural Machine Translation181 topic
- Statistical Machine Translation181 topic
- Image Captioning141 topic
- Visual Question Answering141 topic
- Feature Matching111 topic
- Local Descriptors111 topic
- Aquaculture101 topic
- Fish Immunology101 topic
- Graph Neural Networks101 topic
- Knowledge Graph Embedding101 topic
- Molecular Docking101 topic
- Virtual Screening101 topic
- High-Throughput81 topic
- Materials Informatics81 topic
Where does Shikun Feng work?
Shikun Feng's main affiliation in the publication record is Baidu (China), China.
How many publications and citations does Shikun Feng have?
OpenAlex counts 84 works and 3,411 citations for Shikun Feng, an h-index of 18, ranking #772,639 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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