Hung Bui

3.6k citations
73 papers · 1.7k · h-index 20

Impact in

Papers in

    • Anomaly Detection Techniques and Applications 19
    • Bayesian Modeling and Causal Inference 8
    • Machine Learning and Algorithms 7
    • Domain Adaptation and Few-Shot Learning 6
    • Video Surveillance and Tracking Methods 15
    • Human Pose and Action Recognition 13
    • Context-Aware Activity Recognition Systems 12

Hung Bui

71 papers receiving 1.6k citations

Peers

Hung Bui
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 936
  • Artificial Intelligence 1.0k
  • Signal Processing 279
  • Human-Computer Interaction 103
  • Transportation 64
Replace Shaohua Teng with:
Shaohua Teng China
Aston Zhang United States
Octavian Udrea United States
Tom Diethe United Kingdom
Pradeep K. Atrey United States
Hong-Han Shuai Taiwan
Daniela Nicklas Germany
Yunsick Sung South Korea
Bo Wu United States
Guangyu Zhu China
Hung Bui relative to Shaohua Teng China Shaohua Teng's profile →
Citations per field
00.5×3.6×
Shaohua Teng · 1×
Citations per year

Countries citing papers authored by Hung Bui

Since Specialization
Citations

This map shows the geographic impact of Hung Bui'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 Hung Bui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung Bui more than expected).

Fields of papers citing papers by Hung Bui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung Bui. 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 Hung Bui. The network helps show where Hung Bui may publish in the future.

Co-authors

The 25 scholars most cited alongside Hung Bui, 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 Hung Bui Line = papers co-authored together Hung Bui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005354
2
A general model for online probabilistic plan recognition
2003127
3
Plan, Activity, and Intent Recognition: Theory and Practice
2014111
4
A DIRT-T Approach to Unsupervised Domain Adaptation
201884
5 200481
6 200973
7 200372
8 200368
9
Hierarchical hidden Markov models with general state hierarchy
200455
10 200155
11 201554
12 200440
13 200635
14 199931
15 201328
16
Multiple camera coordination in a surveillance system
200326
17
Mutliple camera coordination in a surveillance system
200325
18 201724
19
Learning other agents' preferences in multiagent negotiation
199622
20 200519

About Hung Bui

Hung Bui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research and Computer Networks and Communications, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (19 papers), Video Surveillance and Tracking Methods (15 papers), Human Pose and Action Recognition (13 papers), Context-Aware Activity Recognition Systems (12 papers), Bayesian Modeling and Causal Inference (8 papers), Time Series Analysis and Forecasting (7 papers), Machine Learning and Algorithms (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (936 citations), Artificial Intelligence (1.0k citations), Signal Processing (279 citations), Human-Computer Interaction (103 citations) and Transportation (64 citations). Hung Bui has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Svetha Venkatesh, Dinh Phung, Geoff West, Mihai Lazarescu, Nhat Nguyen, Christopher Geib, Gita Sukthankar, Rui Shu, Stefano Ermon and David V. Pynadath. Their work appears in journals such as Artificial Intelligence, AI Magazine, International Journal of Cooperative Information Systems, American Water Works Association and The Knowledge Engineering Review.

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.

Explore authors with similar magnitude of impact