Yu Hong
About
In The Last Decade
Yu Hong
46 papers receiving 594 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 468
- Information Systems 106
- Biomedical Engineering 68
- Materials Chemistry 62
- Molecular Biology 49
Countries citing papers authored by Yu Hong
This map shows the geographic impact of Yu Hong'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 Yu Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Hong more than expected).
Fields of papers citing papers by Yu Hong
This network shows the impact of papers produced by Yu Hong. 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 Yu Hong. The network helps show where Yu Hong may publish in the future.
Co-authorship network of co-authors of Yu Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Hong. A scholar is included among the top collaborators of Yu Hong 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 Yu Hong. Yu Hong 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | Adversarial Feature Adaptation for Cross-lingual Relation Classification | 16 |
| 17 | Combining Translation and Language Models for Bilingual Data Selection | 1 |
| 18 | Thread Cleaning and Merging for Microblog Topic Detection | 5 |
| 19 | Using Cross-Entity Inference to Improve Event Extraction | 155 |
| 20 | 5 |
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.