Bert Huang

3.1k citations
56 papers · 1.6k · h-index 21

Impact in

    • Online Learning and Analytics
    • Topic Modeling
    • Advanced Graph Neural Networks
    • Hate Speech and Cyberbullying Detection
    • Sentiment Analysis and Opinion Mining
    • Bayesian Modeling and Causal Inference

Papers in

    • Bayesian Modeling and Causal Inference 11
    • Machine Learning and Algorithms 10
    • Advanced Graph Neural Networks 7
    • Machine Learning and Data Classification 7
    • Hate Speech and Cyberbullying Detection 6
    • Topic Modeling 6
    • Sentiment Analysis and Opinion Mining 6
    • Data Stream Mining Techniques 6

Bert Huang

55 papers receiving 1.5k citations

Peers

Bert Huang
Comparison fields: 5 of 121
  • Computer Science Applications 188
  • Artificial Intelligence 905
  • Statistical and Nonlinear Physics 168
  • Computer Vision and Pattern Recognition 261
  • Signal Processing 121
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Citations per field
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Citations per year

Countries citing papers authored by Bert Huang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bert Huang Line = papers co-authored together Bert Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011195
2 2011120
3
Query-driven active surveying for collective classification
2012114
4
A short introduction to probabilistic soft logic
2012111
5 201493
6 201488
7 201579
8 201473
9 201773
10
Loopy Belief Propagation for Bipartite Maximum Weight b-Matching
200766
11
Learning a Distance Metric from a Network
201141
12 201539
13
Hinge-loss Markov random fields: convex inference for structured prediction
201334
14 201833
15 201331
16
Planned protest modeling in news and social mediat
201530
17 202028
18 201428
19
Fast b-matching via Sufficient Selection Belief Propagation
201127
20
Beyond Parity: Fairness Objectives for Collaborative Filtering
201721

About Bert Huang

Bert Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Statistical and Nonlinear Physics and Social Psychology, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (11 papers), Machine Learning and Algorithms (10 papers), Advanced Graph Neural Networks (7 papers), Machine Learning and Data Classification (7 papers), Hate Speech and Cyberbullying Detection (6 papers), Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (6 papers) and Data Stream Mining Techniques (6 papers). The work is most often cited by research in Computer Science Applications (188 citations), Artificial Intelligence (905 citations), Statistical and Nonlinear Physics (168 citations), Computer Vision and Pattern Recognition (261 citations) and Signal Processing (121 citations). Bert Huang has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Lise Getoor, Tony Jebara, Ben London, Arti Ramesh, Hal Daumé, Dan Goldwasser, Stephen H. Bach, Angelika Kimmig, Galileo Namata and Lexing Xie. Their work appears in journals such as Journal of Machine Learning Research, Journal of the American Academy of Orthopaedic Surgeons, IEEE Transactions on Learning Technologies, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Social Network Analysis and Mining.

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.

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