Bo-June Hsu
About
In The Last Decade
Bo-June Hsu
23 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 715
- Information Systems 338
- Statistical and Nonlinear Physics 140
- Computer Vision and Pattern Recognition 116
- Management Science and Operations Research 112
Countries citing papers authored by Bo-June Hsu
This map shows the geographic impact of Bo-June 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 Bo-June Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo-June Hsu more than expected).
Fields of papers citing papers by Bo-June Hsu
This network shows the impact of papers produced by Bo-June 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 Bo-June Hsu. The network helps show where Bo-June Hsu may publish in the future.
Co-authorship network of co-authors of Bo-June Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Bo-June Hsu. A scholar is included among the top collaborators of Bo-June 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 Bo-June Hsu. Bo-June 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 | 22 | |
| 2 | An Overview of Microsoft Academic Service (MAS) and Applications breakdown → | 529 |
| 3 | Proceedings of the first international workshop on Entity recognition & disambiguation | 4 |
| 4 | 23 | |
| 5 | 36 | |
| 6 | E2E: An End-to-End Entity Linking System for Short and Noisy Text | 8 |
| 7 | 57 | |
| 8 | Simple and Knowledge-intensive Generative Model for Named Entity Recognition | 6 |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 73 | |
| 13 | 20 | |
| 14 | An Overview of Microsoft Web N-gram Corpus and Applications | 73 |
| 15 | A Multimodal Home Entertainment Interface via a Mobile Device | 5 |
| 16 | 6 | |
| 17 | 37 | |
| 18 | 29 | |
| 19 | 43 | |
| 20 | 10 |
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.