Bee-Chung Chen
Bee-Chung Chen publishes mostly in Information Systems, Artificial Intelligence and Computer Networks and Communications, on topics such as Recommender Systems and Techniques, Topic Modeling and Expert finding and Q&A systems.
- World rank
- #289,524 of 1,633,909 ranked researchers
- Rank in United States
- #110,007 of 358,040
- Works
- 17
- Citations
- 275
- Citations per work
- 16.2
What does Bee-Chung Chen research?
Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.
- 1Information Systems30% of their works
- 2Artificial Intelligence30% of their works
- 3Computer Networks and Communications9% of their works
- 4Signal Processing6% of their works
- 5Computer Science Applications3% of their works
- 6Theoretical Computer Science3% of their works
Research topics
Which keywords describe Bee-Chung Chen's research?
The keywords of their largest research topics: Neural Networks, Deep Learning, Collaborative Filtering, Matrix Factorization, Social Media, Community Question Answering, Expert Finding and Machine Translation.
- Sentiment Analysis
- Identity-Based Encryption
- Federated Learning
- Trajectory Data Mining
- GPS Trajectories
- Continuous Queries
- Machine Translation
- Community Question Answering
- Matrix Factorization
- Deep Learning
- Neural Networks
- Collaborative Filtering
- Social Media
- Expert Finding
- Word Representation
- Data Stream Management
- Machine Learning
- Differential Privacy
- Homomorphic Encryption
- Opinion Mining
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
- Neural Networks82 topics
- Deep Learning62 topics
- Collaborative Filtering51 topic
- Matrix Factorization51 topic
- Social Media42 topics
- Community Question Answering31 topic
- Expert Finding31 topic
- Machine Translation31 topic
- Word Representation31 topic
- Continuous Queries21 topic
- Data Stream Management21 topic
- GPS Trajectories21 topic
- Machine Learning22 topics
- Trajectory Data Mining21 topic
- Differential Privacy11 topic
- Federated Learning11 topic
- Homomorphic Encryption11 topic
- Identity-Based Encryption11 topic
- Opinion Mining11 topic
- Sentiment Analysis11 topic
Where does Bee-Chung Chen work?
Bee-Chung Chen's main affiliation in the publication record is LinkedIn (United States), United States.
How many publications and citations does Bee-Chung Chen have?
Science Explorer counts 17 works and 275 citations for Bee-Chung Chen, ranking #289,524 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.