William H. Hsu
About
In The Last Decade
William H. Hsu
46 papers receiving 589 citations
Peers
Comparison fields: 5 of 103
- Artificial Intelligence 326
- Information Systems 203
- Statistical and Nonlinear Physics 95
- Molecular Biology 93
- Computer Networks and Communications 79
Countries citing papers authored by William H. Hsu
This map shows the geographic impact of William H. Hsu'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 William H. Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William H. Hsu more than expected).
Fields of papers citing papers by William H. Hsu
This network shows the impact of papers produced by William H. Hsu. 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 William H. Hsu. The network helps show where William H. Hsu may publish in the future.
Co-authorship network of co-authors of William H. Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of William H. Hsu. A scholar is included among the top collaborators of William H. Hsu 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 William H. Hsu. William H. Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 66 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | Towards Faster Annotation Interfaces for Learning to Filter in Information Extraction and Search. | 1 |
| 6 | Arousal Detection for Biometric Data in Built Environments using Machine Learning | 7 |
| 7 | 2 | |
| 8 | 31 | |
| 9 | Ontology-Based Link Prediction in the LiveJournal Social Network | 15 |
| 10 | Ontology-Aware Classification and Association Rule Mining for Interest and Link Prediction in Social Networks. | 11 |
| 11 | Structural Link Analysis from User Profiles and Friends Networks: A Feature Construction Approach. | 28 |
| 12 | Collaborative and Structural Recommendation of Friends using Weblog-based Social Network Analysis. | 56 |
| 13 | A permutation genetic algorithm for variable ordering in learning Bayesian networks from data | 21 |
| 14 | 3 | |
| 15 | Genetic programming and multi-agent layered learning by reinforcements | 36 |
| 16 | Genetic algorithm wrappers for feature subset selection in supervised inductive learning | 1 |
| 17 | An Ant Colony Approach For The Steiner Tree Problem | 12 |
| 18 | Genetic Algorithms for Selection and Partitioning of Attributes in Large-Scale Data Mining Problems | 4 |
| 19 | Bayesian network models for generation of crisis management training scenarios | 15 |
| 20 | Probabilistic learning in Bayesian and stochastic neural networks | 0 |
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.