Siu Cheung Hui
- Artificial Intelligence top 1%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Signal Processing top 10%
- Topics
- Topic Modeling (34 papers)Natural Language Processing Techniques (21 papers)Web Data Mining and Analysis (13 papers)
- Partner nations
- SingaporeChinaNew Zealand
In The Last Decade
Siu Cheung Hui
87 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 1.1k
- Information Systems 441
- Computer Vision and Pattern Recognition 241
- Computational Theory and Mathematics 150
- Signal Processing 96
Countries citing papers authored by Siu Cheung Hui
This map shows the geographic impact of Siu Cheung Hui'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 Siu Cheung Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siu Cheung Hui more than expected).
Fields of papers citing papers by Siu Cheung Hui
This network shows the impact of papers produced by Siu Cheung Hui. 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 Siu Cheung Hui. The network helps show where Siu Cheung Hui may publish in the future.
Co-authorship network of co-authors of Siu Cheung Hui
This figure shows the co-authorship network connecting the top 25 collaborators of Siu Cheung Hui. A scholar is included among the top collaborators of Siu Cheung Hui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Siu Cheung Hui. Siu Cheung Hui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | Compositional De-Attention Networks | 9 |
| 8 | 105 | |
| 9 | 5 | |
| 10 | 46 | |
| 11 | 16 | |
| 12 | Translational Recommender Networks. | 3 |
| 13 | HyperQA: Hyperbolic Embeddings for Fast and Efficient Ranking of Question Answer Pairs | 1 |
| 14 | Probabilistic equivalence verification approach for automatic mathematical solution assessment | 1 |
| 15 | Feature extraction and clustering-based retrieval for mathematical formulas | 3 |
| 16 | 2 | |
| 17 | A Fuzzy FCA-based Approach to Conceptual Clustering for Automatic Generation of Concept Hierarchy on Uncertainty Data | 48 |
| 18 | A hybrid data mining technique for vehicle fault diagnosis | 1 |
| 19 | A hybrid time lagged network for predicting stock prices | 13 |
| 20 | A Hybrid Case-Based Reasoning and Neural Network Approach to Online Intelligent Fault Diagnosis. | 4 |
About Siu Cheung Hui
Siu Cheung Hui is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 94 papers that have together received 1.6k indexed citations. Recurring topics across this work include Topic Modeling (34 papers), Natural Language Processing Techniques (21 papers) and Web Data Mining and Analysis (13 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Information Systems (441 citations) and Computer Science Applications (75 citations). Siu Cheung Hui has collaborated with scholars based in Singapore, China and New Zealand. Frequent co-authors include Yi Tay, Luu Anh Tuan, Yulan He, Anh Tuan Luu, A.C.M. Fong, Tho Quan, Jian Su, Kuiyu Chang, Tam T. Nguyen and Schubert Foo. Their work appears in journals such as Expert Systems with Applications, Computers & Education and Pattern Recognition.
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.