Bert Huang
Impact in
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- Online Learning and Analytics
- Artificial Intelligence top 2%
- Topic Modeling
- Advanced Graph Neural Networks
- Hate Speech and Cyberbullying Detection
- Sentiment Analysis and Opinion Mining
Papers in
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- Bayesian Modeling and Causal Inference 11
- Machine Learning and Algorithms 10
- Machine Learning and Data Classification 7
- Data Stream Mining Techniques 7
- Sentiment Analysis and Opinion Mining 6
- Domain Adaptation and Few-Shot Learning 5
- Advanced Graph Neural Networks 5
- Co-authors
- Lise Getoor (24 shared papers)Tony Jebara (5 shared papers)Ben London (8 shared papers)Arti Ramesh (4 shared papers)Hal Daumé (4 shared papers)Stephen H. Bach (7 shared papers)Dan Goldwasser (4 shared papers)Galileo Namata (1 shared paper)
- Journals
- Journal of Machine Learning Research (3 papers)Neural Networks (1 paper)IEEE Transactions on Multimedia (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Bert Huang
49 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Computer Science Applications 160
- Artificial Intelligence 766
- Statistical and Nonlinear Physics 140
- Computer Vision and Pattern Recognition 228
- Health Informatics 12
Countries citing papers authored by Bert Huang
This map shows the geographic impact of Bert Huang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bert Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bert Huang more than expected).
Fields of papers citing papers by Bert Huang
This network shows the impact of papers produced by Bert Huang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bert Huang. The network helps show where Bert Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bert Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 178 | |
| 2 | 2011 | 109 | |
| 3 | Query-driven active surveying for collective classification | 2012 | 100 |
| 4 | A short introduction to probabilistic soft logic | 2012 | 95 |
| 5 | 2014 | 80 | |
| 6 | 2014 | 76 | |
| 7 | 2015 | 73 | |
| 8 | 2014 | 65 | |
| 9 | Loopy Belief Propagation for Bipartite Maximum Weight b-Matching | 2007 | 61 |
| 10 | 2017 | 60 | |
| 11 | Learning a Distance Metric from a Network | 2011 | 40 |
| 12 | Hinge-loss Markov random fields: convex inference for structured prediction | 2013 | 33 |
| 13 | 2015 | 30 | |
| 14 | 2018 | 30 | |
| 15 | Fast b-matching via Sufficient Selection Belief Propagation | 2011 | 25 |
| 16 | 2014 | 25 | |
| 17 | 2020 | 24 | |
| 18 | Planned protest modeling in news and social mediat | 2015 | 24 |
| 19 | Beyond Parity: Fairness Objectives for Collaborative Filtering | 2017 | 17 |
| 20 | 2018 | 17 |
About Bert Huang
Bert Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Social Psychology, Statistical and Nonlinear Physics and Computer Science Applications, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (11 papers), Machine Learning and Algorithms (10 papers), Machine Learning and Data Classification (7 papers), Data Stream Mining Techniques (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Domain Adaptation and Few-Shot Learning (5 papers), Complex Network Analysis Techniques (5 papers) and Advanced Graph Neural Networks (5 papers). The work is most often cited by research in Computer Science Applications (160 citations), Artificial Intelligence (766 citations), Statistical and Nonlinear Physics (140 citations), Computer Vision and Pattern Recognition (228 citations) and Health Informatics (12 citations). Bert Huang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Lise Getoor, Tony Jebara, Ben London, Arti Ramesh, Hal Daumé, Stephen H. Bach, Dan Goldwasser, Galileo Namata, Michele Merler and Gang Hua. Their work appears in journals such as Journal of Machine Learning Research, Neural Networks, IEEE Transactions on Multimedia, IEEE/ACM Transactions on Computational Biology and Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.