Bryan Hooi
Impact in
- Computational Mathematics top 2%
- Artificial Intelligence top 0.5%
- Anomaly Detection Techniques and Applications
- Advanced Graph Neural Networks
- Imbalanced Data Classification Techniques
- Topic Modeling
Papers in
-
- Advanced Graph Neural Networks 23
- Anomaly Detection Techniques and Applications 22
- Topic Modeling 17
- Natural Language Processing Techniques 6
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- Network Security and Intrusion Detection 14
- Co-authors
- Ailin Deng (6 shared papers)Christos Faloutsos (26 shared papers)Kijung Shin (10 shared papers)Shenghua Liu (11 shared papers)Jiashi Feng (2 shared papers)Bingyi Kang (1 shared paper)Shuicheng Yan (1 shared paper)Yifan Zhang (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (7 papers)ACM Transactions on Knowledge Discovery from Data (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Journal of Biomedical Informatics (1 paper)Neurocomputing (1 paper)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Bryan Hooi
88 papers receiving 3.1k citations
Bryan Hooi's Hit Papers
Peers
Comparison fields: 5 of 121
- Computational Mathematics 46
- Artificial Intelligence 2.2k
- Signal Processing 716
- Computer Networks and Communications 919
- Statistical and Nonlinear Physics 465
Countries citing papers authored by Bryan Hooi
This map shows the geographic impact of Bryan Hooi'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 Bryan Hooi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bryan Hooi more than expected).
Fields of papers citing papers by Bryan Hooi
This network shows the impact of papers produced by Bryan Hooi. 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 Bryan Hooi. The network helps show where Bryan Hooi may publish in the future.
Co-authors
The 25 scholars most cited alongside Bryan Hooi, 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 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Graph Neural Network-Based Anomaly Detection in Multivariate Time Series Hit paper breakdown → | 2021 | 712 |
| 2 | Deep Long-Tailed Learning: A Survey Hit paper breakdown → | 2023 | 308 |
| 3 | REV2 Hit paper breakdown → | 2018 | 221 |
| 4 | 2016 | 199 | |
| 5 | 2019 | 172 | |
| 6 | 2021 | 88 | |
| 7 | 2020 | 74 | |
| 8 | 2020 | 73 | |
| 9 | 2022 | 68 | |
| 10 | 2022 | 66 | |
| 11 | 2015 | 54 | |
| 12 | 2022 | 53 | |
| 13 | 2019 | 51 | |
| 14 | 2020 | 49 | |
| 15 | 2017 | 49 | |
| 16 | 2022 | 46 | |
| 17 | 2017 | 43 | |
| 18 | 2017 | 39 | |
| 19 | 2021 | 39 | |
| 20 | 2024 | 38 |
About Bryan Hooi
Bryan Hooi is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics and Signal Processing, having authored 101 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (23 papers), Anomaly Detection Techniques and Applications (22 papers), Complex Network Analysis Techniques (18 papers), Topic Modeling (17 papers), Network Security and Intrusion Detection (14 papers), Spam and Phishing Detection (12 papers), Time Series Analysis and Forecasting (8 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Computational Mathematics (46 citations), Artificial Intelligence (2.2k citations), Signal Processing (716 citations), Computer Networks and Communications (919 citations) and Statistical and Nonlinear Physics (465 citations). Bryan Hooi has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Ailin Deng, Christos Faloutsos, Kijung Shin, Shenghua Liu, Jiashi Feng, Bingyi Kang, Shuicheng Yan, Yifan Zhang, Xueqi Cheng and Alex Beutel. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Biomedical Informatics and Neurocomputing.
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.