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 20
- Topic Modeling 17
- Sentiment Analysis and Opinion Mining 6
- Co-authors
- Ailin DengChristos FaloutsosKijung ShinShenghua LiuJiashi FengXueqi ChengBingyi KangYifan Zhang
- Journals
- IEEE Transactions on Knowledge and Data Engineering (7 papers)ACM Transactions on Knowledge Discovery from Data (3 papers)Information Sciences (1 paper)IEEE Transactions on Power Systems (1 paper)Future Generation Computer Systems (1 paper)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Bryan Hooi
86 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Computational Mathematics 45
- Artificial Intelligence 2.0k
- Signal Processing 654
- Computer Networks and Communications 835
- Statistical and Nonlinear Physics 436
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 5 | |
| 8 | 2024 | 25 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 14 | |
| 12 | 2023 | 1 | |
| 13 | Deep Long-Tailed Learning: A Survey Hit paper breakdown → | 2023 | 268 |
| 14 | 2023 | 12 | |
| 15 | 2023 | 0 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2022 | 17 | |
| 19 | 2021 | 22 | |
| 20 | 2021 | 3 |
About Bryan Hooi
Bryan Hooi is a scholar working on Computational Mathematics, Artificial Intelligence, Signal Processing, Statistical and Nonlinear Physics and Information Systems, having authored 95 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (23 papers), Anomaly Detection Techniques and Applications (20 papers), Complex Network Analysis Techniques (18 papers), Topic Modeling (17 papers), Spam and Phishing Detection (12 papers), Network Security and Intrusion Detection (12 papers), Time Series Analysis and Forecasting (8 papers) and Sentiment Analysis and Opinion Mining (6 papers). The work is most often cited by research in Computational Mathematics (45 citations), Artificial Intelligence (2.0k citations), Signal Processing (654 citations), Computer Networks and Communications (835 citations) and Statistical and Nonlinear Physics (436 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, Xueqi Cheng, Bingyi Kang, Yifan Zhang, Shuicheng Yan and Alex Beutel. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, Information Sciences, IEEE Transactions on Power Systems and Future Generation Computer Systems.
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.