Hai Leong Chieu
About
In The Last Decade
Hai Leong Chieu
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 77
- Artificial Intelligence 953
- Information Systems 288
- Sociology and Political Science 173
- Statistical and Nonlinear Physics 121
- Computer Vision and Pattern Recognition 105
Countries citing papers authored by Hai Leong Chieu
This map shows the geographic impact of Hai Leong Chieu'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 Hai Leong Chieu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Leong Chieu more than expected).
Fields of papers citing papers by Hai Leong Chieu
This network shows the impact of papers produced by Hai Leong Chieu. 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 Hai Leong Chieu. The network helps show where Hai Leong Chieu may publish in the future.
Co-authorship network of co-authors of Hai Leong Chieu
This figure shows the co-authorship network connecting the top 25 collaborators of Hai Leong Chieu. A scholar is included among the top collaborators of Hai Leong Chieu 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 Hai Leong Chieu. Hai Leong Chieu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 28 | |
| 4 | 0 | |
| 5 | 21 | |
| 6 | Troll detection by domain-adapting sentiment analysis | 15 |
| 7 | 34 | |
| 8 | 20 | |
| 9 | Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion | 12 |
| 10 | Combining local and non-local information with dual decomposition for named entity recognition from text | 5 |
| 11 | Optimizing F-measures: A tale of two approaches | 41 |
| 12 | Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach | 11 |
| 13 | Unsupervised Information Extraction with Distributional Prior Knowledge | 4 |
| 14 | Extracting Relation Descriptors with Conditional Random Fields | 11 |
| 15 | Conditional Random Fields with High-Order Features for Sequence Labeling | 27 |
| 16 | 1 | |
| 17 | Cooled and Relaxed Survey Propagation for MRFs | 2 |
| 18 | Activity Recognition from Physiological Data using Conditional Random Fields | 15 |
| 19 | 100 | |
| 20 | 78 |
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.